Name: Python Crash Course - Level 1
Price: 25 GBP
Availability: InStock

<strong>If you are new to Quantum computing, then this course will help you understand the fundamentals and practicalities of this field. This course will provide you with step-by-step guidance in learning the implementation and important methodologies associated with Quantum computing in a beginner-friendly environment.</strong>
        <p>Quantum computers are expected to change our lives drastically in the upcoming years. We know we can solve specific problems in minutes with Quantum computers while we can solve them in thousands of years with classical computers. If you want to get ahead of technology and learn about the future, then you are in the right place!

Throughout the course, we will start from nothing and understand the principles of quantum mechanics and how to use them in Quantum computers. We will write our own codes to execute on real Quantum computers using IBM Qiskit technology. If you have a high school level of mathematical knowledge, you can take this course.

Throughout the course, we will use real Quantum computers as well as simulators using IBM Qiskit framework. Python programming language will be delivered from scratch, all the way up to the details.

When you complete this training, you will be able to understand the theory and practice of Quantum computing, write your own circuits, and execute codes on real Quantum computers. You will easily adapt your quantum knowledge to other Quantum computers rather than IBM. Since IBM is the only provider for Quantum computers on the cloud, without paying any fee right now, all examples will be executed on IBMQ.

Happy coding!
 
All codes and resources are available here:
https://github.com/PacktPublishing/The-Complete-Quantum-Computing-Course-for-Beginners-</p>
        <h2>What You Will Learn</h2><p>Build a strong mathematical foundation for probability and statistics<br>Learn all about matrices and matrix operations<br>Understand the concepts of superposition, interference, and entanglement<br>Learn about Qubits and Qubit states<br>Learn Quantum teleportation used for transferring Quantum information<br>Explore Deutsch, Grover's, and Shor's algorithms</p>
        <h2>Audience</h2><p>This course is for anyone who is interested in learning Quantum computing and Python programming. The course is best suited for beginners who want to start with practical quantum computing concepts.<br><br>Basic computer knowledge and enthusiasm about Quantum computing are the only prerequisites to extract the most out of this course.</p>
        <h2>Approach</h2><p>This course helps you learn practically by taking a hands-on approach to Quantum computing. All concepts and topics are explained with the help of practical activities.</p>
        <h2>Key Features</h2><p>Learn how to use real Quantum computers as well as simulators using IBM Qiskit framework * Learn Python programming from scratch * Learn to implement Quantum computing algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/The-Complete-Quantum-Computing-Course-for-Beginners-</p>
        <h2>About the Author</h2><h3>Codestars By Rob Percival</h3><p>Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob's Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.</p><br><h3>Atil Samancioglu</h3><p>Atil Samancioglu is a best-selling online instructor and has instructed more than 80,000 students on Ethical Hacking. Atil has trained more than 20.000 students on the following Ethical Hacking subjects: Kali Linux, Metasploit, metasploitable, social engineering, Nmap, Man-in-the-Middle attacks, MITM proxy, Beef, Wireshark, Maltego, SQL Injection, XSS, social media safety, VPN server creation, Meterpreter, Ettercap, WPA Enterprise. He currently works as eBusiness Team Leader in a multinational company.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Mathematical Foundations</h4><p></p><br><h4>3. Qubit and Physics</h4><p></p><br><h4>4. Python from Scratch</h4><p></p><br><h4>5. Qiskit 101</h4><p></p><br><h4>6. Teleportation</h4><p></p><br><h4>7. Bernstein Vazirani</h4><p></p><br><h4>8. Deutsch</h4><p></p><br><h4>9. Grover's</h4><p></p><br><h4>10. Shor's</h4><p></p><br><h4>11. Next Steps</h4><p></p>

If you are new to Quantum computing, then this course will help you understand the fundamentals and practicalities of this field. This course will provide you with step-by-step guidance in learning the implementation and important methodologies associated with Quantum computing in a beginner-friendly environment.
Quantum computers are expected to change our lives drastically in the upcoming years. We know we can solve specific problems in minutes with Quantum computers while we can solve them in thousands of years with classical computers. If you want to get ahead of technology and learn about the future, then you are in the right place! Throughout the course, we will start from nothing and understand the principles of quantum mechanics and how to use them in Quantum computers. We will write our own codes to execute on real Quantum computers using IBM Qiskit technology. If you have a high school level of mathematical knowledge, you can take this course. Throughout the course, we will use real Quantum computers as well as simulators using IBM Qiskit framework. Python programming language will be delivered from scratch, all the way up to the details. When you complete this training, you will be able to understand the theory and practice of Quantum computing, write your own circuits, and execute codes on real Quantum computers. You will easily adapt your quantum knowledge to other Quantum computers rather than IBM. Since IBM is the only provider for Quantum computers on the cloud, without paying any fee right now, all examples will be executed on IBMQ. Happy coding! All codes and resources are available here:
https://github.com/PacktPublishing/The-Complete-Quantum-Computing-Course-for-Beginners-
What You Will Learn
Build a strong mathematical foundation for probability and statistics
Learn all about matrices and matrix operations
Understand the concepts of superposition, interference, and entanglement
Learn about Qubits and Qubit states
Learn Quantum teleportation used for transferring Quantum information
Explore Deutsch, Grover's, and Shor's algorithms
Audience
This course is for anyone who is interested in learning Quantum computing and Python programming. The course is best suited for beginners who want to start with practical quantum computing concepts.

Basic computer knowledge and enthusiasm about Quantum computing are the only prerequisites to extract the most out of this course.
Approach
This course helps you learn practically by taking a hands-on approach to Quantum computing. All concepts and topics are explained with the help of practical activities.
Key Features
Learn how to use real Quantum computers as well as simulators using IBM Qiskit framework * Learn Python programming from scratch * Learn to implement Quantum computing algorithms
Github Repo
https://github.com/PacktPublishing/The-Complete-Quantum-Computing-Course-for-Beginners-
About the Author
Codestars By Rob Percival
Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob's Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.
Atil Samancioglu
Atil Samancioglu is a best-selling online instructor and has instructed more than 80,000 students on Ethical Hacking. Atil has trained more than 20.000 students on the following Ethical Hacking subjects: Kali Linux, Metasploit, metasploitable, social engineering, Nmap, Man-in-the-Middle attacks, MITM proxy, Beef, Wireshark, Maltego, SQL Injection, XSS, social media safety, VPN server creation, Meterpreter, Ettercap, WPA Enterprise. He currently works as eBusiness Team Leader in a multinational company.
Course Outline
1. Introduction

2. Mathematical Foundations

3. Qubit and Physics

4. Python from Scratch

5. Qiskit 101

6. Teleportation

7. Bernstein Vazirani

8. Deutsch

9. Grover's

10. Shor's

11. Next Steps


Packt

Qiskit

Quantum Computing

Python

Programming

If you are new to Quantum computing, then this course will help you understand the fundamentals and practicalities of this field. This course will provide you with step-by-step guidance in learning the implementation and important methodologies associated with Quantum computing in a beginner-friendly environment.

The Complete Quantum Computing Course for Beginners

General Admission

Web Development

Flask

This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.

The Ultimate Flask Course

<strong>Learn Python 3 programming fast!</strong>
        <p>In this course, you'll learn the Python 3 programming language from an absolute beginner level all the way to advanced-in no time at all!

This course is aimed at absolute beginners; you don't need any coding experience at all!
We'll start out by setting downloading and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code.

Then, we'll delve into fundamental computer science concepts, such as:
&bull;	Printing to the screen
&bull;	String Manipulation
&bull;	Variables
&bull;	Data types (lists, tuples, dictionaries and more)
&bull;	Simple math
&bull;	Comparison operators
&bull;	Assignment operators

After that, we move on to more intermediate topics such as:
&bull;	Conditional if/else statements
&bull;	While loops
&bull;	For loops
&bull;	Fizzbuzz

Finally, we finish up with more advanced topics such as:
&bull;	Functions
&bull;	Modules
&bull;	Classes

Python is one of the greatest programming languages and learning it has never been this easy!

All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Python-Programming-For-Everyone</p>
        <h2>What You Will Learn</h2><p>Make professional drawings in AutoCAD<br>2D practice drawings<br>3D practice drawings<br>Make a floor plan from a blank drawing</p>
        <h2>Audience</h2><p>This course targets absolute beginners who want to learn the Python programming language.</p>
        <h2>Approach</h2><p>This friendly course is packed with step-by-step instructions, working examples, and helpful advice.</p>
        <h2>Key Features</h2><p>Learn the Python 3 programming language from beginner to advanced * Dive into basic computer science concepts</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-everyone</p>
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Beginners Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro - Python 3 vs Python 2 - Which Should You Use?</p><p style='margin: 0'>Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Beginners Python: Installing Python</p></td></tr><tr><td style='padding: 15px;'><p>3. First Program - Hello World!</p><p style='margin: 0'>Beginners Python: First Program - Hello World!</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments and Clearing the Screen</p><p style='margin: 0'>Beginners Python: Comments and Clearing the Screen</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables</p><p style='margin: 0'>Beginners Python: Variables</p></td></tr><tr><td style='padding: 15px;'><p>6. Intro to Data Types</p><p style='margin: 0'>Beginners Python: Intro to Data Types</p></td></tr><tr><td style='padding: 15px;'><p>7. Strings</p><p style='margin: 0'>Beginners Python: Strings</p></td></tr><tr><td style='padding: 15px;'><p>8. String Manipulation</p><p style='margin: 0'>Beginners Python: String Manipulation</p></td></tr><tr><td style='padding: 15px;'><p>9. Math with Python</p><p style='margin: 0'>Beginners Python: Math with Python</p></td></tr><tr><td style='padding: 15px;'><p>10. Floats and Ints</p><p style='margin: 0'>Beginners Python: Floats and Ints</p></td></tr><tr><td style='padding: 15px;'><p>11. Assignment Operators</p><p style='margin: 0'>Beginners Python: Assignment Operators</p></td></tr><tr><td style='padding: 15px;'><p>12. Lists</p><p style='margin: 0'>Beginners Python: Lists</p></td></tr><tr><td style='padding: 15px;'><p>13. Tuples</p><p style='margin: 0'>Beginners Python: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>14. Dictionaries</p><p style='margin: 0'>Beginners Python: Dictionaries</p></td></tr></tbody></table><br><h4>2. Intermediate Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Comparison Operators</p><p style='margin: 0'>Intermediate Python: Comparison Operators</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements</p><p style='margin: 0'>Intermediate Python: Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>3. Multiple Conditional Statements</p><p style='margin: 0'>Intermediate Python: Multiple Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>4. While Loops</p><p style='margin: 0'>Intermediate Python: While Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. For Loops</p><p style='margin: 0'>Intermediate Python: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Let's Build FizzBuzz!</p><p style='margin: 0'>Intermediate Python: Let's Build FizzBuzz!</p></td></tr></tbody></table><br><h4>3. Advanced Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Functions</p><p style='margin: 0'>Advanced Python: Functions</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions Part 2</p><p style='margin: 0'>Advanced Python: Functions Part 2</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules</p><p style='margin: 0'>Advanced Python: Modules</p></td></tr><tr><td style='padding: 15px;'><p>4. Intro to Classes</p><p style='margin: 0'>Advanced Python: Intro to Classes</p></td></tr><tr><td style='padding: 15px;'><p>5. Classes Part 1</p><p style='margin: 0'>Advanced Python: Classes Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Classes Part 2</p><p style='margin: 0'>Advanced Python: Classes Part 2</p></td></tr><tr><td style='padding: 15px;'><p>7. Classes Part 3</p><p style='margin: 0'>Advanced Python: Classes Part 3</p></td></tr><tr><td style='padding: 15px;'><p>8. Course conclusion</p><p style='margin: 0'>Advanced Python: Course conclusion</p></td></tr></tbody></table>

Learn Python 3 programming fast!
In this course, you'll learn the Python 3 programming language from an absolute beginner level all the way to advanced-in no time at all! This course is aimed at absolute beginners; you don't need any coding experience at all!
We'll start out by setting downloading and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code. Then, we'll delve into fundamental computer science concepts, such as:
•	Printing to the screen
•	String Manipulation
•	Variables
•	Data types (lists, tuples, dictionaries and more)
•	Simple math
•	Comparison operators
•	Assignment operators After that, we move on to more intermediate topics such as:
•	Conditional if/else statements
•	While loops
•	For loops
•	Fizzbuzz Finally, we finish up with more advanced topics such as:
•	Functions
•	Modules
•	Classes Python is one of the greatest programming languages and learning it has never been this easy! All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Python-Programming-For-Everyone
What You Will Learn
Make professional drawings in AutoCAD
2D practice drawings
3D practice drawings
Make a floor plan from a blank drawing
Audience
This course targets absolute beginners who want to learn the Python programming language.
Approach
This friendly course is packed with step-by-step instructions, working examples, and helpful advice.
Key Features
Learn the Python 3 programming language from beginner to advanced * Dive into basic computer science concepts
Github Repo
https://github.com/packtpublishing/python-programming-for-everyone
About the Author
John Elder
John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries. John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.
Course Outline
1. Beginners Python

1. Intro - Python 3 vs Python 2 - Which Should You Use?
Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?
2. Installing Python
Beginners Python: Installing Python
3. First Program - Hello World!
Beginners Python: First Program - Hello World!
4. Comments and Clearing the Screen
Beginners Python: Comments and Clearing the Screen
5. Variables
Beginners Python: Variables
6. Intro to Data Types
Beginners Python: Intro to Data Types
7. Strings
Beginners Python: Strings
8. String Manipulation
Beginners Python: String Manipulation
9. Math with Python
Beginners Python: Math with Python
10. Floats and Ints
Beginners Python: Floats and Ints
11. Assignment Operators
Beginners Python: Assignment Operators
12. Lists
Beginners Python: Lists
13. Tuples
Beginners Python: Tuples
14. Dictionaries
Beginners Python: Dictionaries
2. Intermediate Python

1. Comparison Operators
Intermediate Python: Comparison Operators
2. Conditional Statements
Intermediate Python: Conditional Statements
3. Multiple Conditional Statements
Intermediate Python: Multiple Conditional Statements
4. While Loops
Intermediate Python: While Loops
5. For Loops
Intermediate Python: For Loops
6. Let's Build FizzBuzz!
Intermediate Python: Let's Build FizzBuzz!
3. Advanced Python

1. Functions
Advanced Python: Functions
2. Functions Part 2
Advanced Python: Functions Part 2
3. Modules
Advanced Python: Modules
4. Intro to Classes
Advanced Python: Intro to Classes
5. Classes Part 1
Advanced Python: Classes Part 1
6. Classes Part 2
Advanced Python: Classes Part 2
7. Classes Part 3
Advanced Python: Classes Part 3
8. Course conclusion
Advanced Python: Course conclusion

Python Programming For Everyone

<strong>This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.</strong>
        <p>With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming.

The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators.

By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts.

The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>What You Will Learn</h2><p>Explore Python datatypes variables and functions<br>Find out how to create and work with modules and packages<br>Read and write a CSV and binary file<br>Grasp techniques to handle exceptions<br>Find out how to debug Python programs<br>Create, activate, and deactivate Python virtual environments</p>
        <h2>Audience</h2><p>This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.</p>
        <h2>Approach</h2><p>Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.</p>
        <h2>Key Features</h2><p>Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>2. Setting up the Python Development Environment</h4><p></p><br><h4>3. Python - Absolute Basics</h4><p></p><br><h4>4. Variables, Data Types, and Built-in Functions</h4><p></p><br><h4>5. Conditional Statements and Loops</h4><p></p><br><h4>6. Working with Lists</h4><p></p><br><h4>7. Working with Tuples</h4><p></p><br><h4>8. Working with Sets</h4><p></p><br><h4>9. Working with Dictionaries</h4><p></p><br><h4>10. Working with Strings</h4><p></p><br><h4>11. Functions</h4><p></p><br><h4>12. Modules and Packages</h4><p></p><br><h4>13. Debugging</h4><p></p><br><h4>14. Working with Files (Files Input/Output)</h4><p></p><br><h4>15. Handling Exceptions</h4><p></p><br><h4>16. Working with Numbers</h4><p></p><br><h4>17. Working with Dates and Times</h4><p></p><br><h4>18. Package Management</h4><p></p><br><h4>19. Python Virtual Environments</h4><p></p><br><h4>20. Comprehensions</h4><p></p><br><h4>21. Decorators</h4><p></p><br><h4>22. Generators</h4><p></p><br><h4>23. Miscellaneous and Additional Resources</h4><p></p>

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.
With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming. The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators. By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts. The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-
What You Will Learn
Explore Python datatypes variables and functions
Find out how to create and work with modules and packages
Read and write a CSV and binary file
Grasp techniques to handle exceptions
Find out how to debug Python programs
Create, activate, and deactivate Python virtual environments
Audience
This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.
Approach
Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.
Key Features
Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal
Github Repo
https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-
About the Author
Coding Gears | Train Your Brain
GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn. They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas. CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.
Course Outline
1. Welcome

2. Setting up the Python Development Environment

3. Python - Absolute Basics

4. Variables, Data Types, and Built-in Functions

5. Conditional Statements and Loops

6. Working with Lists

7. Working with Tuples

8. Working with Sets

9. Working with Dictionaries

10. Working with Strings

11. Functions

12. Modules and Packages

13. Debugging

14. Working with Files (Files Input/Output)

15. Handling Exceptions

16. Working with Numbers

17. Working with Dates and Times

18. Package Management

19. Python Virtual Environments

20. Comprehensions

21. Decorators

22. Generators

23. Miscellaneous and Additional Resources


Linux

Debugging

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.

Python Programming for Beginners: Hands-on (Online Lab)

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					<div><p>Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our exclusive Python Programming - For Non Programmers course.</p><p>With the Python Programming - For Non Programmers course, you will gain knowledge about the fundamentals topics and acquire the necessary skills. It covers everything you need to get up to speed, from basic python, programming primitives to python coding, data visualization, web development and so on. Our exclusive and advanced curriculum that breaks down the topics is easy to understand, which helps you to reach the required aspects for this course. You can study at your own pace with 24/7 access. This course is accessible by any modern device with an internet connection.</p><p>Upon completing this Python Programming - For Non Programmers  course, you will ensure your professional position, progress further to higher levels of professional qualifications, and be able to raise your career curve swiftly. </p><p>Enrol now and dive in for a glorious career!!!</p></div>
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				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Unit 01: Introduction to Python Programming</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Course Introduction</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 02: Getting Started with Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Software Installation</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Hello World Program</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Input and Output</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Calculating Average of 5 Numbers</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 03: Conditional Branching with Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: If Loop In Python</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Program Using If Else part 1</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Program Using If Else part 2</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Program for Calculator</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Program Using For Loop</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: For Table</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 07: For loop and Mathematical Operator in Python</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 08: Factorial of Number Using Python</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 09: Program Using While</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 10: While Loop Example</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 11: Tasks for Practice</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 04: Importing external/internal library in python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Importing Library in Python</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 05: Project Rock Paper and Scissors</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Rock Paper and Scissor Game</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 06: Strings Operation in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Program Using String part 1</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Program using String 2</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Program Using String 3</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Program Using String part 4</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 07: Date and time in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Use of Date and Time part 1</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Use of Date and Time part 2</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 08: File Handling, read and write using Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: File Handling Part 1</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: File Handling Part 2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 09: Data Storage Structures, Tuple, List and Dictionary</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Tuple in Python Part 1</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Tuple in Python Part 2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Using Lists part 1</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Using List part 2</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Using Lists part 3</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: Using Lists part 4</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 07: Using Lists part 5</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 08: Use of Dictionary Part 1</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 09: Use of Dictionary Part 2</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 10: Use of Dictionary Part 3</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 11: Use of Dictionary Part 4</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 10: Writing user functions in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Function in Python Part 1</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Function in Python Part 2</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Function in Python Part 3</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Function in Python Part 4</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Function in Python Part 5</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 11: Sending mail</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Send Email</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 12: Import Tricks in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Import Study part 1</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Import Study part 2</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 13: Import Operating System and Platform</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Importing OS</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Import Platform</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 14: Exceptions handling in python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Exception in Python part 1</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Exception in Python part 2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Exception in Python part 3</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 15: Installing Packages and Scheduling In Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Installing Packages using built in package manager</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Scheduler in Python</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 16: Data Base In Python using sqlite</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Data Base 1</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Data Base 2</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Data Base 3</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Data base 4</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Data Base 5</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 17: Running Program from Command Prompt and jupyter Notebook</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: IDE_1</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: IDE_2</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 18: Conclusion</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Conclusion</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resources</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Basic Python Programming</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our exclusive Python Programming - For Non Programmers course.
With the Python Programming - For Non Programmers course, you will gain knowledge about the fundamentals topics and acquire the necessary skills. It covers everything you need to get up to speed, from basic python, programming primitives to python coding, data visualization, web development and so on. Our exclusive and advanced curriculum that breaks down the topics is easy to understand, which helps you to reach the required aspects for this course. You can study at your own pace with 24/7 access. This course is accessible by any modern device with an internet connection.
Upon completing this Python Programming - For Non Programmers course, you will ensure your professional position, progress further to higher levels of professional qualifications, and be able to raise your career curve swiftly. 
Enrol now and dive in for a glorious career!!!
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Unit 01: Introduction to Python Programming			
▶	Module 01: Course Introduction	🕐 00:02:00
Unit 02: Getting Started with Python			
▶	Module 01: Software Installation	🕐 00:02:00
▶	Module 02: Hello World Program	🕐 00:06:00
▶	Module 03: Input and Output	🕐 00:07:00
▶	Module 04: Calculating Average of 5 Numbers	🕐 00:03:00
Unit 03: Conditional Branching with Python			
▶	Module 01: If Loop In Python	🕐 00:06:00
▶	Module 02: Program Using If Else part 1	🕐 00:03:00
▶	Module 03: Program Using If Else part 2	🕐 00:08:00
▶	Module 04: Program for Calculator	🕐 00:02:00
▶	Module 05: Program Using For Loop	🕐 00:08:00
▶	Module 06: For Table	🕐 00:05:00
▶	Module 07: For loop and Mathematical Operator in Python	🕐 00:04:00
▶	Module 08: Factorial of Number Using Python	🕐 00:06:00
▶	Module 09: Program Using While	🕐 00:05:00
▶	Module 10: While Loop Example	🕐 00:07:00
▶	Module 11: Tasks for Practice	🕐 00:02:00
Unit 04: Importing external/internal library in python			
▶	Module 01: Importing Library in Python	🕐 00:07:00
Unit 05: Project Rock Paper and Scissors			
▶	Module 01: Rock Paper and Scissor Game	🕐 00:06:00
Unit 06: Strings Operation in Python			
▶	Module 01: Program Using String part 1	🕐 00:05:00
▶	Module 02: Program using String 2	🕐 00:06:00
▶	Module 03: Program Using String 3	🕐 00:06:00
▶	Module 04: Program Using String part 4	🕐 00:03:00
Unit 07: Date and time in Python			
▶	Module 01: Use of Date and Time part 1	🕐 00:05:00
▶	Module 02: Use of Date and Time part 2	🕐 00:05:00
Unit 08: File Handling, read and write using Python			
▶	Module 01: File Handling Part 1	🕐 00:08:00
▶	Module 02: File Handling Part 2	🕐 00:07:00
Unit 09: Data Storage Structures, Tuple, List and Dictionary			
▶	Module 01: Tuple in Python Part 1	🕐 00:10:00
▶	Module 02: Tuple in Python Part 2	🕐 00:07:00
▶	Module 03: Using Lists part 1	🕐 00:07:00
▶	Module 04: Using List part 2	🕐 00:12:00
▶	Module 05: Using Lists part 3	🕐 00:06:00
▶	Module 06: Using Lists part 4	🕐 00:08:00
▶	Module 07: Using Lists part 5	🕐 00:02:00
▶	Module 08: Use of Dictionary Part 1	🕐 00:04:00
▶	Module 09: Use of Dictionary Part 2	🕐 00:05:00
▶	Module 10: Use of Dictionary Part 3	🕐 00:08:00
▶	Module 11: Use of Dictionary Part 4	🕐 00:07:00
Unit 10: Writing user functions in Python			
▶	Module 01: Function in Python Part 1	🕐 00:06:00
▶	Module 02: Function in Python Part 2	🕐 00:05:00
▶	Module 03: Function in Python Part 3	🕐 00:04:00
▶	Module 04: Function in Python Part 4	🕐 00:07:00
▶	Module 05: Function in Python Part 5	🕐 00:08:00
Unit 11: Sending mail			
▶	Module 01: Send Email	🕐 00:09:00
Unit 12: Import Tricks in Python			
▶	Module 01: Import Study part 1	🕐 00:07:00
▶	Module 02: Import Study part 2	🕐 00:03:00
Unit 13: Import Operating System and Platform			
▶	Module 01: Importing OS	🕐 00:06:00
▶	Module 02: Import Platform	🕐 00:05:00
Unit 14: Exceptions handling in python			
▶	Module 01: Exception in Python part 1	🕐 00:11:00
▶	Module 02: Exception in Python part 2	🕐 00:07:00
▶	Module 03: Exception in Python part 3	🕐 00:05:00
Unit 15: Installing Packages and Scheduling In Python			
▶	Module 01: Installing Packages using built in package manager	🕐 00:08:00
▶	Module 02: Scheduler in Python	🕐 00:05:00
Unit 16: Data Base In Python using sqlite			
▶	Module 01: Data Base 1	🕐 00:08:00
▶	Module 02: Data Base 2	🕐 00:09:00
▶	Module 03: Data Base 3	🕐 00:08:00
▶	Module 04: Data base 4	🕐 00:07:00
▶	Module 05: Data Base 5	🕐 00:06:00
Unit 17: Running Program from Command Prompt and jupyter Notebook			
▶	Module 01: IDE_1	🕐 00:05:00
▶	Module 02: IDE_2	🕐 00:07:00
Unit 18: Conclusion			
▶	Module 01: Conclusion	🕐 00:02:00
Resources			
	Resources - Basic Python Programming	🕐 00:00:00

Skill Up

Take this tremendous opportunity to transform yourself into highly skilled and recognised python experts by enrolling on our

Python Programming - For Non Programmers

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		</div>
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		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Basic Python 3.9</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Introduction</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Dictionary Merging</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Prefix and Suffix String Methods</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Native Timezones</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: GCD and LCM</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: Type Hints for Lists</td><td><span>🕐 00:09:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python 3.9 Coding has been specially designed to help learners gain a good command of Python 3.9 Coding, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python 3.9 Coding, you will gain both practical and theoretical understanding of Python 3.9 Coding that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Basic Python 3.9			
▶	Module 01: Introduction	🕐 00:02:00
▶	Module 02: Dictionary Merging	🕐 00:05:00
▶	Module 03: Prefix and Suffix String Methods	🕐 00:06:00
▶	Module 04: Native Timezones	🕐 00:05:00
▶	Module 05: GCD and LCM	🕐 00:04:00
▶	Module 06: Type Hints for Lists	🕐 00:09:00

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Python 3.9 Coding

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>

				</div>
				<div>
				<div>
					<div><p><span>Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the experts with this step-by-step training course. This </span><span>Python Django Hands On Complete Course</span><span> has been specially designed to help learners gain a good command of Python Django, </span><span> providing them with a solid foundation of knowledge to become a qualified professional</span></p><p><span>Through this Python Django Hands On Complete Course</span><span>, you will gain both practical and theoretical understanding of Python Django </span><span>that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. </span></p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<h2>Learning Benefits:</h2>
				</div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Get a deep understanding of the Python Django Hands On Complete Course just in hours not years</span>
									</li>
								<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical and practical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span> Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want </span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
				<div>
			<div>
					<div>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<h2>Requirements</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to any internet-enabled smart device.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<h2>Why should I take this course?</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>11+ hours of on-demand video lectures and downloadable resources.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the experts with this step-by-step training course. This Python Django Hands On Complete Course has been specially designed to help learners gain a good command of Python Django,  providing them with a solid foundation of knowledge to become a qualified professional
Through this Python Django Hands On Complete Course, you will gain both practical and theoretical understanding of Python Django that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. 
Learning Benefits:
Get a deep understanding of the Python Django Hands On Complete Course just in hours not years
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical and practical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Requirements
Anyone from any academic background can take this course.
Access to any internet-enabled smart device.
Why should I take this course?
11+ hours of on-demand video lectures and downloadable resources.
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
You will be able to incorporate various practical sales techniques successfully and understand your customers better.

Selling is a transferable essential skill, regardless of the position, product, or service you are involved in professionally.

Python Django Hands On Complete Course

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming  that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.

Get ready for a comprehensive Python programming journey! Master the fundamentals, tackle advanced concepts, and build real-world projects. Join now!

Python Programming Complete Training

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>

				</div>
				<div>
				<div>
					<div><p><span>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python: Higher Order Functions</span><span> has been specially designed to help learners gain a good command of Python: Higher Order Functions</span><span>, providing them with a solid foundation of knowledge to become a qualified professional.</span></p><p><span>Through this Python: Higher Order Functions</span><span>, you will gain both practical and theoretical understanding of Python: Higher Order Functions</span><span> that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. </span></p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<h2>Learning outcome</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Get a deep understanding of the Python: Higher Order Functions just in hours not years</span>
									</li>
								<li>
											<span>
													</span>
										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to use your theoretical and practical knowledge to adapt in any working environment</span>
									</li>
								<li>
											<span>
													</span>
										<span>Get help from our expert tutors anytime you need</span>
									</li>
								<li>
											<span>
													</span>
										<span> Access to course contents that are designed and prepared by industry professionals</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study at your convenient time and from wherever you want </span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
				<div>
			<div>
					<div>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
																					</div>
				</div>
				</div>
				<div>
				<h2>Requirements</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to any internet-enabled smart device.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<h2>Why should I take this course?</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>1 hours of on-demand video lectures and downloadable resources.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong> Module 01: Course Introduction</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Simple Higher Order Functions</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Simple Higher Order Functions</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Sorting with Keys</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Sorting with Keys</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Map Function</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Map Function</td><td><span>🕐 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Filter Function</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Filter Function</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: List Comprehension Alternative</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>List Comprehension Alternative</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Recursion Introduction</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to Recursion</td><td><span>🕐 00:07:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python: Higher Order Functions has been specially designed to help learners gain a good command of Python: Higher Order Functions, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python: Higher Order Functions, you will gain both practical and theoretical understanding of Python: Higher Order Functions that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals. 
Learning outcome
Get a deep understanding of the Python: Higher Order Functions just in hours not years
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical and practical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to any internet-enabled smart device.
Why should I take this course?
1 hours of on-demand video lectures and downloadable resources.
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
You will be able to incorporate various practical sales techniques successfully and understand your customers better.
Course Curriculum
Module 01: Course Introduction			
▶	Introduction	🕐 00:01:00
Module 02: Simple Higher Order Functions			
▶	Simple Higher Order Functions	🕐 00:05:00
Module 03: Sorting with Keys			
▶	Sorting with Keys	🕐 00:09:00
Module 04: Map Function			
▶	Map Function	🕐 00:14:00
Module 05: Filter Function			
▶	Filter Function	🕐 00:08:00
Module 06: List Comprehension Alternative			
▶	List Comprehension Alternative	🕐 00:04:00
Module 07: Recursion Introduction			
▶	Introduction to Recursion	🕐 00:07:00

Python: Higher Order Functions

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>In this captivating course, you will embark on an exciting adventure through the Python programming language. Our journey begins with Section 1, 'Introduction &amp; Getting Started,' where you'll uncover the magic of Python and set the stage for your coding expedition. As you progress through the course, you'll explore essential concepts such as variables, data types, and conditional statements, all while acquiring the skills to craft your own Python programs.</p><p>With engaging exercises like building a program to say hello and creating a simple calculator, you'll gain hands-on experience, solidifying your newfound knowledge. Sections 10 and 11 delve into the powerful world of loops, covering both for and while loops, providing you with the tools to automate tasks and solve real-world problems. To put your skills to the test, Section 12 guides you in building a Username Password App, demonstrating the practical application of Python in everyday life.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Master the fundamentals of Python programming.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Create Python programs to solve practical problems.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand variables, data types, and conditional statements.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Harness the power of loops to automate tasks.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Build a Username Password App for real-world use.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Jumpstart your coding journey with a beginner-friendly Python course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Build a strong foundation for further programming exploration.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Gain practical Python skills for everyday applications.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Challenge yourself with engaging exercises and real-world projects.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Open doors to a world of opportunities in technology and software development.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Python Developer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Web Developer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Software Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Machine Learning Engineer</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Access to a computer with an internet connection.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Basic familiarity with using a computer.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Eagerness to learn and explore the world of programming.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Section 1: Introduction &amp; Getting Started</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Introduction</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 2: Instructor's Introduction</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 3: Why Python</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 2: Downloading and Installing Python Editor</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Downloading and Installing Python</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 3: Getting Started</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Hello World and Help Function</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 4: Variables and Basic Data Types in Python</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Variables and Basic Data Types in Python</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 5: Comments</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Commenting Your Code</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 6: Input</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Reading Keyboard Input</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 7: Exercise - Build a Program to Say Hello</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Exercise - Build a Program to Say Hello</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 8: Exercise - Build a Simple Calculator</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Exercise - Build a Simple Calculator App</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 9: Conditional Statements</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Conditional Statements</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 10: Loops - For Loop</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Loops - While Loop</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 11: Loops - While Loop</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Loops - While Loop</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Section 12: Exercise - Building a Username Password App</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Unit 1: Exercise - Building a Username and Password App</td><td><span>🕐 00:05:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

In this captivating course, you will embark on an exciting adventure through the Python programming language. Our journey begins with Section 1, 'Introduction & Getting Started,' where you'll uncover the magic of Python and set the stage for your coding expedition. As you progress through the course, you'll explore essential concepts such as variables, data types, and conditional statements, all while acquiring the skills to craft your own Python programs.
With engaging exercises like building a program to say hello and creating a simple calculator, you'll gain hands-on experience, solidifying your newfound knowledge. Sections 10 and 11 delve into the powerful world of loops, covering both for and while loops, providing you with the tools to automate tasks and solve real-world problems. To put your skills to the test, Section 12 guides you in building a Username Password App, demonstrating the practical application of Python in everyday life.
 Learning outcome
Master the fundamentals of Python programming.
Create Python programs to solve practical problems.
Understand variables, data types, and conditional statements.
Harness the power of loops to automate tasks.
Build a Username Password App for real-world use.
 Why should I take this course?
Jumpstart your coding journey with a beginner-friendly Python course.
Build a strong foundation for further programming exploration.
Gain practical Python skills for everyday applications.
Challenge yourself with engaging exercises and real-world projects.
Open doors to a world of opportunities in technology and software development.
 Career Path
Python Developer
Data Analyst
Web Developer
Software Engineer
Machine Learning Engineer
 Requirements
Access to a computer with an internet connection.
Basic familiarity with using a computer.
Eagerness to learn and explore the world of programming.
Course Curriculum
Section 1: Introduction & Getting Started			
▶	Unit 1: Introduction	🕐 00:03:00
▶	Unit 2: Instructor's Introduction	🕐 00:03:00
▶	Unit 3: Why Python	🕐 00:03:00
Section 2: Downloading and Installing Python Editor			
▶	Unit 1: Downloading and Installing Python	🕐 00:12:00
Section 3: Getting Started			
▶	Unit 1: Hello World and Help Function	🕐 00:09:00
Section 4: Variables and Basic Data Types in Python			
▶	Unit 1: Variables and Basic Data Types in Python	🕐 00:12:00
Section 5: Comments			
▶	Unit 1: Commenting Your Code	🕐 00:07:00
Section 6: Input			
▶	Unit 1: Reading Keyboard Input	🕐 00:11:00
Section 7: Exercise - Build a Program to Say Hello			
▶	Unit 1: Exercise - Build a Program to Say Hello	🕐 00:05:00
Section 8: Exercise - Build a Simple Calculator			
▶	Unit 1: Exercise - Build a Simple Calculator App	🕐 00:08:00
Section 9: Conditional Statements			
▶	Unit 1: Conditional Statements	🕐 00:15:00
Section 10: Loops - For Loop			
▶	Unit 1: Loops - While Loop	🕐 00:08:00
Section 11: Loops - While Loop			
▶	Unit 1: Loops - While Loop	🕐 00:08:00
Section 12: Exercise - Building a Username Password App			
▶	Unit 1: Exercise - Building a Username and Password App	🕐 00:05:00

iscover the fascinating world of Python programming as you take your first steps into the realm of coding. This course is designed to ignite your passion for programming, providing a solid foundation for beginners. Get ready to unleash your creative potential in the world of technology.

Python Crash Course - Level 1

London

<article>
<div>
<h5>Java EVENINGS Course</h5>
</div>
<div></div>
<p>  						 
	</p><div>
	<ul>
		<p>
		<b>Python EVENINGS Course. </b>Basic Python syntax and principles of Object Orientated Programming. 
		<br />Most attendees are in-work IT Professional.
		<br />Private individuals are also very welcome. 
		<br />Evening courses also running.
		<br /><b>Our Style: </b>Hands-on, Practical  
		<br /><b>Location:  </b>Online, Instructor-led  
		<br /><b>Download:  </b>anaconda.com
		<br /><b>Duration:  </b>6 weeks, 1 evening per week, 6pm - 8pm
		<br /><b>Times: </b>arrange a time for your time zone
	    </p>
	</ul>	

<p></p>
</div></article>

<div>
	  <div>
		 <h5>Python Basics EVENINGS Course </h5>
	  </div>
	  <div></div>
	  <p> 
 
				This Python course London Evening covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom.
				This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language.
				These concepts are daily used by programmers and is your first step to working as a programmer.
				By the end, you'll be comfortable in programming Python code.
				You will have done small projects.
				This will serve for you as examples and samples that you can use to build larger projects.
				You can publish your code online to keep as a portfolio.

<br />
This Python Programming course is hands-on and practical, to give you in-depth, practical experience of the topics covered.

	  </p>
	<div>
	<h5>Week 1: Basics</h5>
	</div>
	<div></div>
	<div> 
					<p>  <strong>Python Data Types and Variables:</strong>  
					<br />  Primitive types; Characters &amp; Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python.	 
					<br /> <strong>Operators and Expressions: </strong>   
					<br />  Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.
					</p> 
			 
				<p><strong> Decision Making:</strong>
				<br />If statement; If - else statement; If- elif - else statement; Nested if - else.
				</p><p><strong>Using Loops:</strong>
				<br />The while, while-else.
				<br />For loop;
				<br />Jump statements: break, continue;
				<br />Nesting loops.				
				</p>
			</div>
	<div>
	<h5>Week 2: Data Structures</h5>
	</div> <div></div>
	<div> 
				<p> Lists.
					<br />Tuples.
					<br />Sets.
					<br />Dictionary. Nested Dictionary.
					<br />Json Files.
				</p>
			</div>
	<div>
	<h5>Week 3: Python built-in functions</h5>
	</div> <div></div>
	<div> 
				<p>  
				<br />Using Built-in modules and functions:
				<br />Strings Functions.
				<br />Pattern matching with Regex.
				<br />Maths Functions.
				<br />Random Functions.
				<br />Python Date functions.
				</p>
			</div>
	<div>
	<h5>Week 4: OOP: Using Modules, functions, classes</h5>
	</div> <div></div>
	<div>
				<p>  Creating and using custom Functions.
					<br />Creating functions;
					<br />Using parameters and return values;
					<br />
					<br />Introduction to Classes and Objects:
					<br />Creating a Class; 
					<br />Creating an Object; Using an Object; 
					<br />Adding Instance variables; Controlling accessibility; Naming conventions for class members. 
					<br /> Class Constructors; Parameterized Constructors.
					<br />Inheritance. Overload.
				</p>
			</div>

	<div>
	<h5>Week 5: Pandas DataBase Basics</h5>
	</div> <div></div>
	<div>	 
		<p> <b>Connection details:</b>
				Connect to a database using access codes. 
				<br /><b>Select Queries:</b>
				Retrieving records and iterating results sets, using variables and parameters in queries. 
				<br />Working with DDL comands:
				Create a database, drop a database.
				Create a table, alter tables, drop a table. 
				<br />Working with DML Commands:
				Insert, delete, update records.
		</p>
	</div>
	
	 
	<div>
	<h5>Week 6: Pandas Dataframe Basics</h5>
	</div> <div></div>
	<div>	 
		<p> Getting data into a dataframe:
			<br />Dict to Dataframe, Dataframe to Dict.
			<br />Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets.

			<br />Dataframe basics:
			<br />Slicing Dataframes,
			<br />Getting information about the dataframe,
			<br />Filter, sort and query a Dataframes,
			<br />Duplicate values,
			<br />Working with null-values,
			<br />Sampling,
			<br />Group by,
			<br />Join.

		</p>
	</div>
	  
</div>
 

<div>   

	   <div id="cincluded">
		  <div>
			 <h5>What is included</h5>
		  </div>

		  <article>
		  <div>
			 <ul>
				<li>PCWorkshops Course Certificate on completion  </li>
									   
				<li>Python Course Notes</li>
				<li>Python Code Examples</li>
				<li>Practical Python Course exercises and Code Samples</li>
				<li>After the course: 1-Hour personalised online revision session</li>
			 </ul>
		  </div>
		  </article>
	   </div>
				    
<div>
	                  <div>
	                     <h5 id="cincluded2">Book the Python  Course</h5>
	                  </div>
 
<div id="eventbrite-widget-container-60636103217"></div>




							 
</div>
				   <div id="caboutus">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
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Python EVENINGS Course
Basic Python syntax and principles of object-oriented programming. 
Most attendees are in-work IT Professional. 
Private individuals are also very welcome. 
Evening courses also running. 

Details:
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 4 weeks, 1 evening per week, 6pm - 8pm 
Times: arrange a time for your time zone 
How to attend:  
Connection Link For the course: https://meet.goto.com/910697125
Once you have made the payment, use the above link on the date booked, to connect with the trainer. 
Python Basics EVENINGS Course
 This Python course London Evening covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects. You can publish your code online to keep as a portfolio. 

This Python Programming course is hands-on and practical, to give you in-depth, practical experience of the topics covered. 
Week 1: Basics
 Python Data Types and Variables: 
Primitive Data types; Working with variables and its scope; Conversion and casting types in Python. 
 Operators and Expressions:  
 Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. 
 Decision Making: 
If statement; If - else statement; If- elif - else statement; Nested if - else. 
Using Loops: 
The while, while-else. 
For loop; 
Jump statements: break, continue; 
Nesting loops. 
Week 2: Data Structures & Database
Lists.  
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files. 
Reading csv and text files
Connecting with a database and run SQL Queries. 
Week 3: Python built-in functions &  Pandas Dataframe Basics
 
Using built-in modules and functions: 
Strings Functions. 
Maths Functions. 
Random Functions. 
Data Frames; 
Getting data into a dataframe: 
Dict to Dataframe, Dataframe to Dict.  
Dataframe basics: 
Slicing Dataframes, 
Getting information about the dataframe, 
Filter and query a Dataframes, 
Working with null-values.
Week 4: OOP: Using Modules, functions, classes
 Creating and using custom Functions. 
Creating functions; 
Using parameters and return values; 
 
Introduction to Classes and Objects: 
Creating a Class; 
Creating an Object; Using an Object; 
Adding instance variables; controlling accessibility; and naming conventions for class members. 
 Class Constructors; Parameterized Constructors. 
Inheritance. Overload. 

What is included
PCWorkshops Course Certificate on completion
Python Course Notes
Python Code Examples
Practical Python Course exercises and Code Samples
After the course: 1-Hour personalised online revision session
  

PCWorkshops

Online Course Creation

Programming Fundamentals

Computer Programming

Professional Skills Course (PSC)

Instructor

Basic Python syntax and principles of Object Orientated Programming. 
Most attendees are in-work IT Professional. 
Private individuals are also very welcome. 
Evening courses also running. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 6 weeks, 1 evening per week, 6pm - 8pm 
Times: arrange a time for your time zone 

Python EVENINGS Course, Online Instructor-led

General admission

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PYTHON BOOTCAMP:</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer.</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">If you have more questions goto&nbsp;<a href="http://pcworkshopslondon.co.uk/contact.html" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="66" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">https://pcworkshopslondon.co.uk/contact.html&nbsp;</a>,</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Or&nbsp;<a href="https://pcworkshopslondon.co.uk/" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="67" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">contact us on training@pcworkshopslondon.co.uk</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><a href="https://pcworkshopslondon.co.uk/contact.htm" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="68" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">C﻿ustomise dates, course outline, arrange installments</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course will give you enough&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">practical experience and practical projects</strong>&nbsp;to code, to give you full confidence to enter into the coding profession. &nbsp;&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration:&nbsp;</strong>3 months:</p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">1 Python class per week,</li><li fr-original-style="" style="box-sizing: border-box;">Plus pratical work,</li><li fr-original-style="" style="box-sizing: border-box;">Plus personal trainer-mentor for 1-1 training,</li><li fr-original-style="" style="box-sizing: border-box;">Plus e-learning materials.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Final project :&nbsp;</strong>Practical to upload to&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GitHub&nbsp;</strong>and show-case</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Date and times, choose:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fridays in London or Online&nbsp;</strong>, 10am - 5pm,</li><li fr-original-style="" style="box-sizing: border-box;">or&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Saturdays in London or Online&nbsp;</strong>, 12noon-6pm,</li><li fr-original-style="" style="box-sizing: border-box;">o﻿r negotiate your date</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study level:</strong> Start from beginners level to in-depth, ready to work professionally.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Virtual attendance: &nbsp;</strong>online instructor-led&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>: Anaconda.com</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pre-requisites:&nbsp;</strong>General computer literacy.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Oracle Qualification:&nbsp;</strong>PCWorkshops Python Programmer Certificate</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Payments:</strong>&nbsp; You may apply to pay in installments for this Python Training course</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE OUTLINE</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 1 - 4: Essentials</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Coding Basics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Object Oriented programming:&nbsp;</strong>Python Object Orientated programming (OOP)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UX Principles:&nbsp;</strong>UX Principles and applying it on Front-ends with TKinter</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Specialised topics:&nbsp;</strong>Dates, Localization, Strings, Maths Operation , Random Number,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lambdas</strong></li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 5 - 10 : All about data</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Structures:</strong>&nbsp;Lists, Tuples, Sets,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exceptions</strong>, I/O Fundamentals , Reading and Writing file</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database:&nbsp;</strong>Database principles and SQL.&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database Project:&nbsp;</strong>Python database connections and creating a database driven project</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Numpy. Pandas for data analytics and data queries.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data visualisation:&nbsp;</strong>MatPlotLib</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prediction:&nbsp;</strong>Machine Learning Basics</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 11 and 12: The final touch</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Concurrency and Multi-threading:</strong>&nbsp;Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Unit Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">O﻿ptional&nbsp;</strong>: Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">I﻿NCLUDED:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">PCWorkshops Python Course Certificate on completion.</li><li fr-original-style="" style="box-sizing: border-box;">Python Course notes.</li><li fr-original-style="" style="box-sizing: border-box;">Practical Course exercises, Code Examples, Online Materials.</li><li fr-original-style="" style="box-sizing: border-box;">After the course, continuous assistance with practical and preparation for exams</li><li fr-original-style="" style="box-sizing: border-box;">Max group size on this is 4.</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: Post your Python project online.</li><li fr-original-style="" style="box-sizing: border-box;">Exam preparation and interview questions</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">MORE ABOUT THE ONLINE CLASSROOM</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Attend from your internet connection</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Instructor-led, get instant answers to your questions</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Fully interactive</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Work clearly explained with demonstrations and examples</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Practical exercises to be tried out by delegate</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">WHAT YOU WILL GAIN:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Skills &amp; knowledge: Python coding knowledge and understanding with good practical application &nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Certification:&nbsp;Internal PCWorkshops Python certificate</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: You will have an online portfolio of Python projects&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Experience:&nbsp;Our comprehensive practical makes you job ready</li></ul></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F444528299%2F44980801875%2F1%2Foriginal.20230212-111230?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=bc03bf9766e6c9ca0436ac60d0be83d6" alt="" data-airgap-id="88" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588336959%2F44980801875%2F1%2Foriginal.20230901-170557?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=e4036ff76e1af36cfba9452461b16c48" alt="" data-airgap-id="87" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337149%2F44980801875%2F1%2Foriginal.20230901-170614?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=cdf1fcea5ad47abc354df67b458d5237" alt="" data-airgap-id="89" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337349%2F44980801875%2F1%2Foriginal.20230901-170630?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=839d02fa3087d55ac858bcbb697972f5" alt="" data-airgap-id="86" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

This Python Data Analytics BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.



Data Analytics BOOT CAMP with Python:
This 8-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .
You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.
From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards
The course is a practical, instructor-lead program.

If you have more questions goto https://pcworkshopslondon.co.uk/contact.html,
Or contact us on training@pcworkshopslondon.co.uk
C﻿ustomise dates, course outline, arrange installments
This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession. 
Duration: 8 weeks:
1 Python class per week,
Plus practical work,
Plus personal trainer-mentor for 1-1 training,
Plus e-learning materials.
Final project : Practical to upload to GitHub and show-case
Date and times, choose:
Choose a start date from the list , to make you booking, and from there once a week for 8 weeks.
Study level: Start from beginners level to in-depth, ready to work professionally.
Virtual attendance: online instructor-led 
Download: Anaconda.com
Pre-requisites: General computer literacy.
Oracle Qualification: PCWorkshops Python Programmer Certificate
Payments: You may apply to pay in instalments for this Python Training course
COURSE OUTLINE
W﻿eek 1 - 3:  Essentials
Python Coding Basics
Object Oriented programming: Python Object Orientated programming (OOP)
UX Principles: UX Principles and applying it on Front-ends with TKinter

Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas
W﻿eek 4 - 7: All about data
Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file . 

Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project
Data Analytics: Numpy. Pandas for data analytics and data queries.
Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.
Data visualisation: MatPlotLib

Prediction: Machine Learning Basics
W﻿eek 8: The final touch
Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks
Python Unit Testing

I﻿NCLUDED:
PCWorkshops Python Course Certificate on completion.
Python Course notes.
Practical Course exercises, Code Examples, Online Materials.
After the course, continuous assistance with practical and preparation for exams
Max group size on this is 4.
Portfolio: Post your Python project online.
Exam preparation and interview questions
MORE ABOUT THE ONLINE CLASSROOM
Attend from your internet connection
Instructor-led, get instant answers to your questions
Fully interactive
Work clearly explained with demonstrations and examples
Practical exercises to be tried out by delegate
WHAT YOU WILL GAIN:
Skills & knowledge: Python coding knowledge and understanding with good practical application
Certification: Internal PCWorkshops Python certificate
Portfolio: You will have an online portfolio of Python projects
Experience: Our comprehensive practical makes you job ready






Refund Policy
No Refunds

PYTHON BOOTCAMP:



This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .



You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.



From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards



The course is a practical, instructor-lead program.



Data Analytics BootCamp, 12-weeks, Online Instructor-led

Python Bootcamp Saturdays, Online

Loughborough

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		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
		</div>
	</div>

	

	<div id="filters">
		
		
	</div>

	

    <div>

		
		 
		

		<div></div>

		<div>
			<p>Want to run this event in-house?  Enquire about running this event in-house </p>
			
		</div>

		<div>
			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
		</div>
	</div>
	<div></div>
	
		
        <div>
			
		</div>
				

	
		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.
5 Days - 1 Exam £595.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.
Course Objectives: 
In this course, you will implement data science techniques in order to address business issues. You will:
• Use data science principles to address business issues. 
• Apply the extract, transform, and load (ETL) process to prepare datasets. 
• Use multiple techniques to analyze data and extract valuable insights. 
• Design a machine learning approach to address business issues. 
• Train, tune, and evaluate classification models. 
• Train, tune, and evaluate regression and forecasting models. 
• Train, tune, and evaluate clustering models. 
• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

Target Student

This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. 
Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.
In addition to programming, you should also have experience working with databases, including querying languages like SQL. 

Modules/Lessons

Lesson 1: Addressing Business Issues with Data Science
Topic A: Initiate a Data Science Project
Topic B: Formulate a Data Science Problem
Lesson 2: Extracting, Transforming, and Loading Data
Topic A: Extract Data 
Topic B: Transform Data 
Topic C: Load Data
Lesson 3: Analyzing Data
Topic A: Examine Data
Topic B: Explore the Underlying Distribution of Data 
Topic C: Use Visualizations to Analyze Data
Topic D: Preprocess Data
Lesson 4: Designing a Machine Learning Approach
Topic A: Identify Machine Learning Concepts
Topic B: Test a Hypothesis
Lesson 5: Developing Classification Models
Topic A: Train and Tune Classification Models 
Topic B: Evaluate Classification Models
Lesson 6: Developing Regression Models
Topic A: Train and Tune Regression Models 
Topic B: Evaluate Regression Models
Lesson 7: Developing Clustering Models
Topic A: Train and Tune Clustering Models 
Topic B: Evaluate Clustering Models
Lesson 8: Finalizing a Data Science Project
Topic A: Communicate Results to Stakeholders 
Topic B: Demonstrate Models in a Web App 
Topic C: Implement and Test Production Pipelines


Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

<div>
	                  <h5>MS Power BI Course summary</h5>
	               </div>
	               <div></div>
	               <p> 
				   
							   Data Visualization Courses London. 
					   In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational Visualations
This course is ideal for managers and data analysts who need to make business descisions based on data.

					   
						<br /><br />The course duration is 1 day.

				   </p>
				   <div id="PBITaster">
	                  <h5>MS Power BI 1-Hour Taster</h5>
	               </div>
	               <div></div>
	               <p> 
				   
							   Our 1 hour Power BI taster gives an excellent summary of Power BI. Is give you the basics, so that you could decide on a full course, or teach yourself from there.
						<br />Terminology overview, Get Data, Visual Basics, Format The Visual, Change the Formulae, Add KPI's, Add Dynamic Filters, Addd the visual to a Dashboard	
						<br />Contact us for a time and date, and then the 1 hour.
						<br />
						</p>

				   <p></p>
				   
	               <div>
	                  <div>
							<h5>MS Power BI 1-day Full Course Description</h5>
	                  </div>
	                  <div></div>
 
												 
						<div>
							<strong> Introduction: </strong> 
											<p> 
							Connect to your data source and various data sources. 
							<br />Understand MS POWER BI terminology and interface. 	 
						</p>
						</div>
					   <div>
							<strong> Visuals:  </strong>  
							<p>  
								Creating visuals, 
								<br />Chart types, 
								<br />Geographic maps, 
								<br />Heat maps, 
								<br />Tree maps, 
								<br />Pie charts, 
								<br />bar charts and many other types of charts, 
								<br />Importing custom designs and custom chart types. 
								<br />Choosing suitable chart types. 
								<br />Single measures, multiple measure, 
								<br />double axes, displaying dates, drilldown, sorting visuals. 
								<br />Analysis Lines. 
								<br />Filters and slicers. 
							</p>
						</div>	
						<div>
							<strong> Formatting:  </strong>  
							<p>   
							Formatting visuals. 
							</p>
						</div>	
								 
						<div>
							<strong> Working with the data:  </strong>  
							<p>  
								Preparing data using queries.
								<br />Calculations: Create calculated columns and measures. 
								<br />Columns vs Measures. 
								<br />Quick Measures.  
							</p>
						</div>	
						<div>
							<strong> Functions:  </strong>  
							<p>  Built-in Functions for dates, maths and strings. 
								 
							</p>
						</div>
						<div>
							<strong> DAX calculations:  </strong>  
							<p>  Relationships 
								<br />DAX calculations.
								 
							</p>
						</div>		
						<div>
							<strong> Final presentation:  </strong>  
							<p>  
								Final presentation: Reports, publish reports, create dashboards
							</p>
						</div>	
 
 
 
 
	               </div>
	               <div id="cincluded">
	                  <div>
	                     <h5>What is included in the MS Power BI Courses:</h5>
	                  </div>
	                  <div>
	                     <ul>
	                        <li>MS Power BI Course Certificate on completion  </li>
	                        <li>MS Power BI Course notes</li>
	                        <li>Practical MS Power BI Course exercises, MS Power BI Course Homework / MS Power BI Course Revision work</li>
	                         
	                        <li>After the course, 1 free session for questions online MS Power BI Course via Gotomeeting.com.</li>
	                        <li>Max group size, online and in classroom, on this MS Power BI Course is 4. </li>
	                     </ul>
	                  </div>
	               </div>

MS Power BI Course 
 Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations
This course is ideal for managers and data analysts who need to make business decisions based on data. 

The course duration is 1 day. 
MS Power BI 1-day Course Description
Introduction:
 Connect to your data source and various data sources. 
Understand MS POWER BI terminology and interface. 
Visuals:
 Creating visuals, 
Chart types, 
Geographic maps, 
Heat maps, 
Tree maps, 
Pie charts, 
bar charts and many other types of charts, 
Importing custom designs and custom chart types. 
Choosing suitable chart types. 
Single measures, multiple measure, 
double axes, displaying dates, drilldown, sorting visuals. 
Analysis Lines. 
Filters and slicers. 
Formatting:
 Formatting visuals. 
Working with the data:
 Preparing data using queries. 
Calculations: Create calculated columns and measures. 
Columns vs. Measures. 
Quick Measures. 
Functions:
 Built-in functions for dates, math, and strings. 
DAX calculations:
 Relationships 
DAX calculations. 
Final presentation:
 Final presentation: Reports, publish reports, create dashboards 
What is included in the MS Power BI Courses:
MS Power BI Course Certificate on completion
MS Power BI Course notes
Practical MS Power BI Course exercises, MS Power BI Course homework, and MS Power BI Course Revision work
After the course, 1 free session for questions online MS Power BI Course via Gotomeeting.com.
Max group size, online and in classroom, on this MS Power BI Course is 4.

Microsoft Power BI

Data Science

Data Visualization

Business Intelligence (BI)

Data Analyst

 Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations
This course is ideal for managers and data analysts who need to make business decisions based on data.

MS POWER BI COURSE

<strong>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.</strong>
        <p>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework. If you don't have a programming background, this course will help you create custom analytic tools in the browser by taking you through the core concepts of pandas, NumPy, Matplotlib, and Seaborn. With a step-by-step introduction to new concepts, this Django course will gradually help you get to grips with the essentials of data science.
The code bundle for this course available at https://github.com/PacktPublishing/Django-with-Data-Science</p>
        <h2>What You Will Learn</h2><p>Understand the integration of Django and Python data science libraries: pandas, Matplotlib, Seaborn, and NumPy<br>Populate the database from CSV files<br>Explore the Semantic UI framework<br>Get to grips with the basics of data science</p>
        <h2>Audience</h2><p>If you are a developer looking to dive into the world of data science with Django, this course is for you.</p>
        <h2>Approach</h2><p>A good resource for beginners with a programming mindset, this course explains each concept in a precise and easy-to-understand way. The instructor takes you through the content systematically to help you make the most of the topics covered.</p>
        <h2>Key Features</h2><p>Work with Django forms and model forms * Create a modal with price statistics * Transform the database and populate rows of the .csv file with sales data</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/django-with-data-science</p>
        <h2>About the Author</h2><h3>Lukasz Makinia</h3><p>Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog-PyPlane.

He is associated with 'Django Ninjas'-a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means 'teaching by doing'.</p>
        <h2>Course Outline</h2><h4>1. Django Project</h4><p></p><br><h4>2. Python Data Science Libraries [Optional]</h4><p></p><br><h4>3. Field Types in Django [OPTIONAL]</h4><p></p>

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.
This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework. If you don't have a programming background, this course will help you create custom analytic tools in the browser by taking you through the core concepts of pandas, NumPy, Matplotlib, and Seaborn. With a step-by-step introduction to new concepts, this Django course will gradually help you get to grips with the essentials of data science.
The code bundle for this course available at https://github.com/PacktPublishing/Django-with-Data-Science
What You Will Learn
Understand the integration of Django and Python data science libraries: pandas, Matplotlib, Seaborn, and NumPy
Populate the database from CSV files
Explore the Semantic UI framework
Get to grips with the basics of data science
Audience
If you are a developer looking to dive into the world of data science with Django, this course is for you.
Approach
A good resource for beginners with a programming mindset, this course explains each concept in a precise and easy-to-understand way. The instructor takes you through the content systematically to help you make the most of the topics covered.
Key Features
Work with Django forms and model forms * Create a modal with price statistics * Transform the database and populate rows of the .csv file with sales data
Github Repo
https://github.com/packtpublishing/django-with-data-science
About the Author
Lukasz Makinia
Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog-PyPlane. He is associated with 'Django Ninjas'-a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means 'teaching by doing'.
Course Outline
1. Django Project

2. Python Data Science Libraries [Optional]

3. Field Types in Django [OPTIONAL]


Pandas

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.

Django with Data Science

<p><strong>***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now</strong></p><p>Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in <strong>Data Science </strong>and other relevant fields!</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one <strong>Data Science </strong>bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.</p><p>Furthermore, to help you showcase your expertise in <strong>Data Science, </strong> we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong>Course 03: </strong>R Programming for Data Science</li><li><strong>Course 04: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong>Course 06: </strong>Excel Data Analysis for Beginner</li><li><strong>Course 07: </strong>Introduction to Data Analysis</li><li><strong>Course 08: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 09: </strong>Google Data Studio: Data Analytics</li><li><strong>Course 10: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 11: </strong>SQL Programming Masterclass</li><li><strong>Course 12: </strong>Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 13: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 14: </strong>GDPR Data Protection Level 5</li></ul><p>So enrol now in this Data science bundle to kick-start/ advance your career!</p><p>Curriculum of <strong>Data Science Bundle</strong></p><p><strong>Data Science with Python</strong></p><ul><li>Introduction to Python Data Science</li><li>Data Cleaning Packages</li><li>Data Visualization packages</li></ul><p><strong>How will I get my Data Science Certificate?</strong></p><p>After successfully completing the <strong>Data Science </strong>course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        145 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this <strong>Data Science </strong>bundle including;</p><ul><li>Administrator</li><li>&amp; Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our <strong>Data science</strong>course is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this <strong>Data science </strong>expertise will increase the value of your CV and open you up to multiple job sectors. Explore</p><ul><li>Data Science<br /><ul><li>Administrator</li><li>Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul></li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Science with Python</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Science with Python</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***
Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now
Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in Data Science and other relevant fields!
After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.
Furthermore, to help you showcase your expertise in Data Science,  we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.
This Data Science Bundle Consists of the following Premium courses: 
Course 01: Data Analysis
Course 02: Data Science & Machine Learning with Python
Course 03: R Programming for Data Science
Course 04: Statistics & Probability for Data Science & Machine Learning
Course 05: Complete Google Analytics Course
Course 06: Excel Data Analysis for Beginner
Course 07: Introduction to Data Analysis
Course 08: Data Analysis in Excel Level 3 Course
Course 09: Google Data Studio: Data Analytics
Course 10: Data Center Training Essentials: General Introduction
Course 11: SQL Programming Masterclass
Course 12: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4
Course 13: Learn to Use Python for Spatial Analysis in ArcGIS
Course 14: GDPR Data Protection Level 5
So enrol now in this Data science bundle to kick-start/ advance your career!
Curriculum of Data Science Bundle
Data Science with Python
Introduction to Python Data Science
Data Cleaning Packages
Data Visualization packages
How will I get my Data Science Certificate?
After successfully completing the Data Science course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
 CPD 
145 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Science bundle including;
Administrator
& Data Analyst
Architect
Cabler
Manager
Centre Manager
 Requirements 
Our Data sciencecourse is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.
 Career path 
Having this Data science expertise will increase the value of your CV and open you up to multiple job sectors. Explore
Data Science
AdministratorData AnalystArchitectCablerManagerCentre Manager
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Science with Python) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Science with Python) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Apex Learning

Data Science - CPD Accredited

<article>
<div>
<h5>Python Data Analytics Course</h5>
</div>
<div></div>
<p>  						 
	</p><div>
	<ul>
		
<div>
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		<p>
		<b>Python Data Course. </b>Data Analytics with Python using Numpy, Pandas, Dataframes. 
		<br />Most attendees are in-work Data Professional.
		<br />Private individuals are very welcome. 
		<br /><b>Our Style: </b>Hands-on, Practical  
		<br /><b>Location:  </b>Online, Instructor-led  
		<br /><b>Download:  </b>anaconda.com
		<br /><b>Duration:  </b>2 consecutive days, 10am - 5pm
		<br /><b>Times: </b>arrange a time for your time zone
	    </p>
	</ul>	

<p></p>
</div></article>

<div>
	  <div>
			<h5>Python Data Analytics Course </h5>
	  </div>
	  <div></div>
	  <p>  
	  <br /> 
	  </p>
	<div>
	<h5>Session 1: Database: </h5>
	</div>
	<div></div>
	<div> 
					<p>  <strong>SQLite3:</strong>  
					<br /> Linking with SQL Database.
					<br /> Create, Amend and Drop Tables.
					<br /> Insert, Update and delete records.
					<br /> Select queries.
					<br /> Traverse and display query results.
					<br /> Using parameters in queries.
					<br /> Get metadata about tables and columns. 
					</p> 
			</div>
	<div>
	<h5>Session 2: Data Structures</h5>
	</div> <div></div>
	<div> 
				<p> <strong>Data Structures:</strong>  
					<br />Tuples.
					<br />Sets.
					<br />Dictionary. Nested Dictionary.
					<br />Json Files.
				</p>
			</div>
	<div>
	<h5>Session 3: Python Numpy</h5>
	</div> <div></div>
	<div> 
				<p>  <strong>Numpy:</strong>  
				<br />The Python NumPy Module:
				<br />Working with arrays, create data using arrays.
				<br />Array manipulation.
				<br />String functions on arrays. 
				<br />Math, arithmetic and statistical functions.
				
				</p>
			</div>
	<div>
	<h5>Session 4: Python Pandas Dataframes and data importing</h5>
	</div> <div></div>
	<div>
		<p>  <strong>Python Dataframes</strong>  
		<br /> Data Series. Date/ Time Functionality. Time series.
		<br /> Creating Dataframes, Indexing. 
		<br />Dict to Dataframe, Dataframe to Dict.
		<br />Csv to Dataframe, Dataframe to csv.
		<br />Excel to Dataframe, Dataframe to Excel.
		</p>
	</div>

	<div>
	<h5>Session 5: Data Cleaning and preparation</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Cleaning and preparation</strong>  
		<br />Finding, replacing and filtering missing data.
		<br />Remove Duplicates.
		<br />Replacing values.
		<br />Renaming Axis Indexes.
		</p>
	</div>
	
	<div>
	<h5>Session 6: Pandas Data Wrangling</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Wrangling:</strong>   
		
		<br />Indexing, Re-indexing, 
		<br />Reorder, 
		<br />Sorting, Stastitics, 
			<br />Transforming data using  
		<br />Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
		 
		</p>
	</div>
	
	<div>
	<h5>Week 6: Pandas Data Analysis</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Analysis:</strong>   
		<br /> Sorting. 
		<br /> Analysing and finding data using filter, slicing and dataframe queries. 
		<br /> Finding data by Iteration.
		<br /> Find statistics: Functions, Aggregate functions. 
		<br /> Unique values.
		<br />String objects, Regex. 
		</p>
	</div>
</div>
 

<div>   

	   <div id="cincluded">
		  <div>
			 <h5>Included with the Python Course</h5>
		  </div>

		  <article>
		  <div>
			 <ul>
				<li>PCWorkshops Course Certificate on completion  </li>
									   
				<li>Python Course Notes</li>
				<li>Python Code Examples</li>
				<li>Practical Python Course exercises and Code Samples</li>
				<li>After the course: 1-Hour personalised online revision session</li>
			 </ul>
		  </div>
		  </article>
	   </div>
				    
<div>
	                  <div>
	                     <h5 id="cincluded2">Book the Python Course</h5>
	                  </div>
 
	 
		<div id="eventbrite-widget-container-48025096356"></div>
		
		  		
					
					 
</div>
				   <div id="caboutus">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
					    		</div>
					    		<div>
					    			
					    				
					    			
					    		</div>
					    	</div>
	                     
					    </div>
					    </article>						
	               </div>
				   
				   
	        </div>

Python Data Analytics Course

Python Data Analytics with Python using 
Numpy, 
Pandas, Dataframes. 

Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 1 consecutive day, 11am-5pm
Dates Times: You may let us know which dates your would prefer, or attend as scheduled

Python Data Analytics Course Description
  
Session 1: Database:
 SQLite3: 
 Linking with SQL Database. 
 Create, Amend and Drop Tables. 
 Insert, Update and delete records. 
 Select queries. 
 Traverse and display query results. 
 Using parameters in queries. 
 Get metadata about tables and columns. 
Session 2: Data Structures
 Data Structures: 
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files. 
Session 3: Python Numpy
 Numpy: 
The Python NumPy Module: 
Working with arrays, create data using arrays. 
Array manipulation. 
String functions on arrays. 
Math, arithmetic and statistical functions. 
Session 4: Python Pandas Dataframes and data importing
 Python Dataframes 
 Data Series. Date/ Time Functionality. Time series. 
 Creating Dataframes, Indexing. 
Dict to Dataframe, Dataframe to Dict. 
Csv to Dataframe, Dataframe to csv. 
Excel to Dataframe, Dataframe to Excel. 
Session 5: Data Cleaning and preparation
 Data Cleaning and preparation 
Finding, replacing and filtering missing data. 
Remove Duplicates. 
Replacing values. 
Renaming Axis Indexes. 
Session 6: Pandas Data Wrangling
 Data Wrangling: 
Indexing, Re-indexing, 
Reorder, 
Sorting, Stastitics, 
Transforming data using 
Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
Week 6: Pandas Data Analysis
 Data Analysis: 
 Sorting. 
 Analysing and finding data using filter, slicing and dataframe queries. 
 Finding data by Iteration. 
 Find statistics: Functions, Aggregate functions. 
 Unique values. 
String objects, Regex. 
Included with the Python Course
PCWorkshops Course Certificate on completion
Python Course Notes
Python Code Examples
Practical Python Course exercises and Code Samples
After the course: 1-Hour personalised online revision session
 

Python Data Analytics with Python using 



Numpy, 




Pandas, Dataframes. 





Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 



Python Data Analytics Course

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Python has steadily ascended the ranks in the tech world, becoming the go-to language for Data Science and Machine Learning pursuits. Its versatility and ease of use make it an optimal choice for those aspiring to delve into the intricate realms of data analysis and algorithm development. By integrating Python into the curriculum, this course ensures that learners are not only familiar with the language but also proficient in its application to Data Science and Machine Learning tasks.</p><p>Data Science, on the other hand, stands as the backbone of today's analytical advancements. With the ever-growing quantum of data, there's a dire need for professionals who can sift through this data deluge and extract meaningful insights. This course simplifies complex topics, making it easier for learners to grasp the intricate mechanics of data manipulation, processing, and analysis. By emphasizing Python's role in Data Science, the course underscores its significance in modern-day data operations.</p><p>Lastly, Machine Learning represents the pinnacle of automated data analysis. With the power of Python and the methodologies of Data Science, Machine Learning enables systems to learn from data and make decisions. This course elucidates these concepts, teaching learners to design, implement, and test Machine Learning algorithms. The synergy of Python, Data Science, and Machine Learning in this curriculum ensures that, by the end, learners are well-equipped to tackle any data challenge that comes their way.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Acquire in-depth knowledge of Data Science techniques using Python.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand and implement Machine Learning algorithms.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Analyze and visualize data with Python libraries like Pandas and Matplotlib.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Evaluate and compare Machine Learning algorithms for optimum results.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Develop real-time prediction models using trained datasets.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Stay ahead in the rapidly growing field of Data Science and Machine Learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enhance career opportunities in the tech and data sectors.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn to use Python, a leading programming language in Data Science.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Address real-world business challenges using data analysis.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Achieve proficiency in handling and visualizing large datasets.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Scientist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Machine Learning Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Python Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Predictive Modeler</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Visualization Expert</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Basic understanding of programming concepts.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Eagerness to learn Data Science and Machine Learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>A computer with internet access.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Python has steadily ascended the ranks in the tech world, becoming the go-to language for Data Science and Machine Learning pursuits. Its versatility and ease of use make it an optimal choice for those aspiring to delve into the intricate realms of data analysis and algorithm development. By integrating Python into the curriculum, this course ensures that learners are not only familiar with the language but also proficient in its application to Data Science and Machine Learning tasks.
Data Science, on the other hand, stands as the backbone of today's analytical advancements. With the ever-growing quantum of data, there's a dire need for professionals who can sift through this data deluge and extract meaningful insights. This course simplifies complex topics, making it easier for learners to grasp the intricate mechanics of data manipulation, processing, and analysis. By emphasizing Python's role in Data Science, the course underscores its significance in modern-day data operations.
Lastly, Machine Learning represents the pinnacle of automated data analysis. With the power of Python and the methodologies of Data Science, Machine Learning enables systems to learn from data and make decisions. This course elucidates these concepts, teaching learners to design, implement, and test Machine Learning algorithms. The synergy of Python, Data Science, and Machine Learning in this curriculum ensures that, by the end, learners are well-equipped to tackle any data challenge that comes their way.
 Learning outcome
Acquire in-depth knowledge of Data Science techniques using Python.
Understand and implement Machine Learning algorithms.
Analyze and visualize data with Python libraries like Pandas and Matplotlib.
Evaluate and compare Machine Learning algorithms for optimum results.
Develop real-time prediction models using trained datasets.
 Why should I take this course?
Stay ahead in the rapidly growing field of Data Science and Machine Learning.
Enhance career opportunities in the tech and data sectors.
Learn to use Python, a leading programming language in Data Science.
Address real-world business challenges using data analysis.
Achieve proficiency in handling and visualizing large datasets.
 Career Path
Data Scientist
Machine Learning Engineer
Python Data Analyst
Predictive Modeler
Data Visualization Expert
 Requirements
Basic understanding of programming concepts.
Eagerness to learn Data Science and Machine Learning.
A computer with internet access.

Master Data Science and Machine Learning with Python to transform data-driven decisions in businesses.

Data Science & Machine Learning with Python

<article>
					<div>
						<h5>Python Unittest Course Summary.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />Testing plays a major role in software development. 
						<br />This course will explain Python Unit Testing using the unittest built-in module. 
						
						<br />We'll cover issues before going to the production itself and the basics of testing in Python. 
						 
						 
						<br /><b>Location: </b>Instructor-led, Online.
						<br /><b>Our Style: </b>Hands-on, Practical Course.
						<br /><b>Group Size: </b>Max 4 people per group.  
						<br /><b>Qualification: </b>PCWorkshops Unittest Certification
						<br /><b>Duration: </b>1-Day, 10am-5pm
						
				  	</p>
	    		</article> 

	<div>  
				    <div id="cincluded">
	                    <div>
							<h5>Unittest topics </h5>
	                    </div> 
							<br />UnitTest Framework - Home
							<br />UnitTest Framework - Overview
							<br />UnitTest - Framework
							<br />UnitTest - API
							<br />UnitTest - Assertion
							<br />UnitTest - Test Discovery
							<br />UnitTest - Skip Test
							<br />UnitTest - Exceptions Test
							<br />UnitTest - Time Test
							<br />UnitTest - Unittest2
							<br />UnitTest - Signal Handling
							<br />UnitTest - Doctest
							<br />UnitTest - Doctest API
							<br />UnitTest - Py.test Module
							<br />Nose Testing - Framework
							<br />Nose Testing - Tools
	                </div>
	    <div></div>
		 
	               <div id="cincluded">
	                  <div>
	                     <h5>Included with Python Unittest Course</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>Python Unittest Certificate on completion  </li>
							<li>Python Unittest Videos</li>	                       
						    <li>Python Unittest Notes</li>
							<li>Python Unittest Examples</li>
	                        <li>Practical Python Unittest exercises</li>
	                        
	                     </ul>
	                  </div>
	                  </article>
	               </div>
				    
				   <div id="booking">
	                  <div>
	                     <h5>Book Unittest Course</h5>
	                  </div>
							 
 							
											<div>
											
											Powered by Eventbrite
											</div>
							 
	               </div>
				   <div id="cincluded">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
					    		</div>
					    		<div>
					    			
					    				
					    			
					    		</div>
					    	</div>
	                     
					    </div>
					    </article>						
	               </div>  
				   
				  
	    </div>

Python Unittest Course Summary.
   
Testing plays a major role in software development. 
This course will explain Python Unit Testing using the unittest built-in module. 
We'll cover issues before going to the production itself and the basics of testing in Python. 
Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops Unittest Certification 
Duration: 1-Day, 10am-5pm 
Unittest topics  
UnitTest Framework - Home 
UnitTest Framework - Overview 
UnitTest - Framework 
UnitTest - API 
UnitTest - Assertion 
UnitTest - Test Discovery 
UnitTest - Skip Test 
UnitTest - Exceptions Test 
UnitTest - Time Test 
UnitTest - Unittest2 
UnitTest - Signal Handling 
UnitTest - Doctest 
UnitTest - Doctest API 
UnitTest - Py.test Module 
Nose Testing - Framework 
Nose Testing - Tools
Included with Python Unittest Course
Python Unittest Certificate on completion
Python Unittest Videos
Python Unittest Notes
Python Unittest Examples
Practical Python Unittest exercises
 
 


Software Testing & QA

Unit Testing

Python Unittest Course

<strong>This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.</strong>
        <p>There is an ever-increasing demand for storing different types of data in organizations. Be it a small or big organization, employers want to keep records of their employees, customers, accounts, feedback, and so on. However, maintaining such an enormous collection of data is not possible without the help of data science. This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data.

The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You'll then go on to understand linear regression using Boston data. As you advance, you'll discover data visualization techniques and explore time series and data evaluation. You'll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you'll be introduced to k-means clustering and gain a solid understanding of decision trees.

By the end of this course, you'll be well-versed with applied data science concepts and be able to apply your skills in the real world.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Projects-in-Data-Science</p>
        <h2>What You Will Learn</h2><p>Gain a solid understanding of applied data science<br>Get to grips with extended data analysis using an example data set<br>Find out how to perform linear and logistic regression<br>Become familiar with scattered and advanced scattered plot<br>Develop skills to plot time-series data<br>Explore k-means clustering and define centroids for clustering</p>
        <h2>Audience</h2><p>If you are a data science enthusiast who wants to develop your skills to effectively maintain your organization's data, then this video course is for you.</p>
        <h2>Approach</h2><p>Using detailed explanations, coding exercises, and activities, this video course helps you to get up and running with applied data science concepts.</p>
        <h2>Key Features</h2><p>Understand applied data science concepts with the help of engaging activities * Get to grips with data visualization, plotting, and clustering techniques * Discover how to make the best use of decision trees</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Projects-in-Data-Science</p>
        <h2>About the Author</h2><h3>Eduonix Learning Solutions</h3><p>Eduonix learning Solutions is a premier training and skill development organization which was started with a vision to bring world class training content, pedagogy and best learning practices to everyone's doorsteps . Eduonix aims to identify and provide the best learning and training environment. It identifies industry veterans and content creators around the globe and bring it to the global audience using number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy to understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Extended Data Analysis</h4><p></p><br><h4>3. Regression</h4><p></p><br><h4>4. Data Visualization</h4><p></p><br><h4>5. Activity</h4><p></p><br><h4>6. Time Series</h4><p></p><br><h4>7. K-Means Clustering</h4><p></p><br><h4>8. Decision Tree</h4><p></p>

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.
There is an ever-increasing demand for storing different types of data in organizations. Be it a small or big organization, employers want to keep records of their employees, customers, accounts, feedback, and so on. However, maintaining such an enormous collection of data is not possible without the help of data science. This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data. The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You'll then go on to understand linear regression using Boston data. As you advance, you'll discover data visualization techniques and explore time series and data evaluation. You'll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you'll be introduced to k-means clustering and gain a solid understanding of decision trees. By the end of this course, you'll be well-versed with applied data science concepts and be able to apply your skills in the real world. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Projects-in-Data-Science
What You Will Learn
Gain a solid understanding of applied data science
Get to grips with extended data analysis using an example data set
Find out how to perform linear and logistic regression
Become familiar with scattered and advanced scattered plot
Develop skills to plot time-series data
Explore k-means clustering and define centroids for clustering
Audience
If you are a data science enthusiast who wants to develop your skills to effectively maintain your organization's data, then this video course is for you.
Approach
Using detailed explanations, coding exercises, and activities, this video course helps you to get up and running with applied data science concepts.
Key Features
Understand applied data science concepts with the help of engaging activities * Get to grips with data visualization, plotting, and clustering techniques * Discover how to make the best use of decision trees
Github Repo
https://github.com/PacktPublishing/Projects-in-Data-Science
About the Author
Eduonix Learning Solutions
Eduonix learning Solutions is a premier training and skill development organization which was started with a vision to bring world class training content, pedagogy and best learning practices to everyone's doorsteps . Eduonix aims to identify and provide the best learning and training environment. It identifies industry veterans and content creators around the globe and bring it to the global audience using number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy to understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.
Course Outline
1. Introduction

2. Extended Data Analysis

3. Regression

4. Data Visualization

5. Activity

6. Time Series

7. K-Means Clustering

8. Decision Tree


Data Analysis

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

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