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<strong>This course is intended for beginner-level individuals who are fascinated about quantum computing and want to learn more about it. It uses Jupyter notebook and IBM Qiskit tool to execute your learning into the actual computation.</strong>
        <p>Quantum computers could help the development of new breakthroughs in science, medications, machine learning, material science, and finance, which will help mankind become the best civilization in the whole universe. In fact, quantum computing is so powerful that no one knows how to use its true potential and till now, no quantum algorithm is perfect. The hardware and code are still in development stages, providing great opportunities in the future for quantum computing professionals.

This course starts by introducing you to the basics of current classical computing technology that is based on bits/binary digits (0 and 1) and quantum computing (qubits), and how it is way much more advanced than earlier. Then you will install and get tested on working with the Jupyter notebook and IBM Qiskit in order to execute codes. Lastly, you will learn all the quantum computing concepts and their execution simultaneously in a much leaner, simpler, and more concise format.

By the end of this course, you will learn the basics of quantum computing through implementing it via IBM Qiskit, and you could be able to contribute yourself to the domain that is still in the development phase and be a part of great opportunities in the future for quantum computing professionals.

The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Dummies-Guide-to-Practical-Quantum-Computing-with-IBM-Qiskit</p>
        <h2>What You Will Learn</h2><p>Learn essential details about quantum mechanics<br>Install and test Qiskit, the quantum framework by IBM<br>Code quantum circuit using Pauli x-gate and other gates<br>Learn eigenvalue and eigenvectors<br>Create a multi-qubit circuit using single-qubit gates<br>Learn the Deutsch-Jozsa (DJ) algorithm, which demonstrates quantum parallelism</p>
        <h2>Audience</h2><p>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 excel and extract the most out of this course.</p>
        <h2>Approach</h2><p>This course is divided into smaller modules followed by hands-on examples performed on IBM Qiskit documentation. Almost all of the illustrations and examples used in this course are from the IBM Qiskit documentation website, which may be further referred to at any point of time in the future.</p>
        <h2>Key Features</h2><p>Learn and understand about general quantum computing based on IBM Qiskit documentation * Learn quantum key distribution, which utilizes the unique properties of quantum systems * Learn quantum teleportation used for transferring quantum information from a sender to a receiver</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Dummies-Guide-to-Practical-Quantum-Computing-with-IBM-Qiskit</p>
        <h2>About the Author</h2><h3>Abhilash Nelson</h3><p>Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction and Table of Contents</h4><p></p><br><h4>2. Introduction to Quantum Mechanics</h4><p></p><br><h4>3. Classical Bit vs Quantum Qubit</h4><p></p><br><h4>4. Creating, Retaining and Reading out Qubits</h4><p></p><br><h4>5. Vector and Matrix Quantum States</h4><p></p><br><h4>6. Classic Logic Gates Overview</h4><p></p><br><h4>7. Popular Quantum Frameworks</h4><p></p><br><h4>8. Installing Anaconda Python Distribution</h4><p></p><br><h4>9. Installing and Testing Qiskit</h4><p></p><br><h4>10. Pauli X-gate in Qiskit</h4><p></p><br><h4>11. Pauli X-gate input and output customizations</h4><p></p><br><h4>12. Pauli X-gate in Real IBM Quantum Computer</h4><p></p><br><h4>13. Pauli Matrixes as State Vectors</h4><p></p><br><h4>14. Pauli Y-gate Operations</h4><p></p><br><h4>15. Pauli Z-gate</h4><p></p><br><h4>16. Eigen Vectors of XYZ gates</h4><p></p><br><h4>17. Hadamard Gate Introduction</h4><p></p><br><h4>18. Hadamard Gate in Qiskit</h4><p></p><br><h4>19. Hadamard Gate Exercises</h4><p></p><br><h4>20. H gate in Real Quantum Computer</h4><p></p><br><h4>21. R phi Gate</h4><p></p><br><h4>22. S and T Gates</h4><p></p><br><h4>23. U and I Gates</h4><p></p><br><h4>24. Multi Qubit states introduction</h4><p></p><br><h4>25. Representing Multi Qubit States</h4><p></p><br><h4>26. Multi Qubit Circuit using Single Qubit Gates - sample circuit 1</h4><p></p><br><h4>27. Multi Qubit Circuit using Single Qubit Gates - sample circuit 2</h4><p></p><br><h4>28. CNOT gate with classical Qubits</h4><p></p><br><h4>29. CNOT gate with control qubit superposition</h4><p></p><br><h4>30. CNOT gate with control qubit superposition - In Real Quantum Computer</h4><p></p><br><h4>31. CNOT gate with both qubit superposition</h4><p></p><br><h4>32. CNOT gate with both qubit superposition target x</h4><p></p><br><h4>33. CNOT Circuit Identities</h4><p></p><br><h4>34. CZ Circuit Identity</h4><p></p><br><h4>35. CY Circuit Identity</h4><p></p><br><h4>36. SWAP Circuit Identity</h4><p></p><br><h4>37. Toffoli Gate</h4><p></p><br><h4>38. Toffoli Circuit Identity</h4><p></p><br><h4>39. DJ Problem Overview</h4><p></p><br><h4>40. DJ Algorithm Design</h4><p></p><br><h4>41. DJ Algorithm Implementation</h4><p></p><br><h4>42. Quantum Cryptography : Quantum Key Distribution</h4><p></p><br><h4>43. Quantum Teleportation Theory</h4><p></p><br><h4>44. Further Learning and Resources</h4><p></p>

This course is intended for beginner-level individuals who are fascinated about quantum computing and want to learn more about it. It uses Jupyter notebook and IBM Qiskit tool to execute your learning into the actual computation.
Quantum computers could help the development of new breakthroughs in science, medications, machine learning, material science, and finance, which will help mankind become the best civilization in the whole universe. In fact, quantum computing is so powerful that no one knows how to use its true potential and till now, no quantum algorithm is perfect. The hardware and code are still in development stages, providing great opportunities in the future for quantum computing professionals. This course starts by introducing you to the basics of current classical computing technology that is based on bits/binary digits (0 and 1) and quantum computing (qubits), and how it is way much more advanced than earlier. Then you will install and get tested on working with the Jupyter notebook and IBM Qiskit in order to execute codes. Lastly, you will learn all the quantum computing concepts and their execution simultaneously in a much leaner, simpler, and more concise format. By the end of this course, you will learn the basics of quantum computing through implementing it via IBM Qiskit, and you could be able to contribute yourself to the domain that is still in the development phase and be a part of great opportunities in the future for quantum computing professionals. The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Dummies-Guide-to-Practical-Quantum-Computing-with-IBM-Qiskit
What You Will Learn
Learn essential details about quantum mechanics
Install and test Qiskit, the quantum framework by IBM
Code quantum circuit using Pauli x-gate and other gates
Learn eigenvalue and eigenvectors
Create a multi-qubit circuit using single-qubit gates
Learn the Deutsch-Jozsa (DJ) algorithm, which demonstrates quantum parallelism
Audience
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 excel and extract the most out of this course.
Approach
This course is divided into smaller modules followed by hands-on examples performed on IBM Qiskit documentation. Almost all of the illustrations and examples used in this course are from the IBM Qiskit documentation website, which may be further referred to at any point of time in the future.
Key Features
Learn and understand about general quantum computing based on IBM Qiskit documentation * Learn quantum key distribution, which utilizes the unique properties of quantum systems * Learn quantum teleportation used for transferring quantum information from a sender to a receiver
Github Repo
https://github.com/PacktPublishing/Dummies-Guide-to-Practical-Quantum-Computing-with-IBM-Qiskit
About the Author
Abhilash Nelson
Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.
Course Outline
1. Course Introduction and Table of Contents

2. Introduction to Quantum Mechanics

3. Classical Bit vs Quantum Qubit

4. Creating, Retaining and Reading out Qubits

5. Vector and Matrix Quantum States

6. Classic Logic Gates Overview

7. Popular Quantum Frameworks

8. Installing Anaconda Python Distribution

9. Installing and Testing Qiskit

10. Pauli X-gate in Qiskit

11. Pauli X-gate input and output customizations

12. Pauli X-gate in Real IBM Quantum Computer

13. Pauli Matrixes as State Vectors

14. Pauli Y-gate Operations

15. Pauli Z-gate

16. Eigen Vectors of XYZ gates

17. Hadamard Gate Introduction

18. Hadamard Gate in Qiskit

19. Hadamard Gate Exercises

20. H gate in Real Quantum Computer

21. R phi Gate

22. S and T Gates

23. U and I Gates

24. Multi Qubit states introduction

25. Representing Multi Qubit States

26. Multi Qubit Circuit using Single Qubit Gates - sample circuit 1

27. Multi Qubit Circuit using Single Qubit Gates - sample circuit 2

28. CNOT gate with classical Qubits

29. CNOT gate with control qubit superposition

30. CNOT gate with control qubit superposition - In Real Quantum Computer

31. CNOT gate with both qubit superposition

32. CNOT gate with both qubit superposition target x

33. CNOT Circuit Identities

34. CZ Circuit Identity

35. CY Circuit Identity

36. SWAP Circuit Identity

37. Toffoli Gate

38. Toffoli Circuit Identity

39. DJ Problem Overview

40. DJ Algorithm Design

41. DJ Algorithm Implementation

42. Quantum Cryptography : Quantum Key Distribution

43. Quantum Teleportation Theory

44. Further Learning and Resources


Packt

Qiskit

Quantum Computing

Programming

This course is intended for beginner-level individuals who are fascinated about quantum computing and want to learn more about it. It uses Jupyter notebook and IBM Qiskit tool to execute your learning into the actual computation.

Beginners' Guide to Practical Quantum Computing with IBM Qiskit

General Admission

<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


Python

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

<div>
	<h3><b>Description: </b></h3>
<p><span> The significance of Big Data in terms of web presence and advertisement is very important to reach out to your customers and potential customers. In this course, you will learn how to tweak your account to achieve the maximum result. By the end of this course, you will learn about the marketing tips, traffic, tools, and add-on that could help in your success.</span></p>
<h3><b>Who is the course </b><b>for</b><b>?</b></h3>
<ul>
<li><span>Professionals who want to learn how to become profitable through Twitter Social Marketing</span></li>
<li><span>People who have an interest in Social Marketing and promote through Twitter</span></li>
</ul>
<h3><b>Entry Requirement:</b></h3>
<ul>
<li><span>This course is available to all learners, of all academic backgrounds. </span></li>
<li><span>Learners should be aged 16 or over to undertake the qualification.</span></li>
<li><span>Good understanding of English language, numeracy and ICT are required to attend this course.</span></li>
</ul>
<h3><b>Assessment:  </b></h3>
<ul>
<li><span>At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.</span></li>
<li><span>Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. </span></li>
</ul>
<h3><b>Certification: </b></h3>
<ul>
<li><span>After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. </span></li>
<li><span>PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.</span></li>
</ul>
<h3><b>Why choose us?</b></h3>
<ul>
<li><span>Affordable, engaging &amp; high-quality e-learning study materials;</span></li>
<li><span>Tutorial videos/materials from the industry leading experts;</span></li>
<li><span>Study in a user-friendly, advanced online learning platform;</span></li>
<li><span>Efficient exam systems for the assessment and instant result; </span></li>
<li><span>The UK &amp; internationally recognised accredited qualification;</span></li>
<li><span>Access to course content on mobile, tablet or desktop from anywhere anytime;</span></li>
<li><span>The benefit of career advancement opportunities;</span></li>
<li><span>24/7 student support via email.</span></li>
</ul>
<h3><b>Career Path:</b></h3>
<p><span>The Understanding Big Data Course will be very beneficial and helpful, especially to the following careers:</span></p>
<ul>
<li><span>Businessman</span></li>
<li><span>Marketing and Promotions Specialist</span></li>
<li><span>Marketing Manager</span></li>
<li><span>Online Content Creator</span></li>
<li><span>Sales Manager</span></li>
<li><span>Sales and Promotions Specialist</span></li>
<li><span>Social Media Specialist.</span></li>
</ul>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam-Understanding Big Data</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam-Understanding Big Data</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

Description: 
 The significance of Big Data in terms of web presence and advertisement is very important to reach out to your customers and potential customers. In this course, you will learn how to tweak your account to achieve the maximum result. By the end of this course, you will learn about the marketing tips, traffic, tools, and add-on that could help in your success.
Who is the course for?
Professionals who want to learn how to become profitable through Twitter Social Marketing
People who have an interest in Social Marketing and promote through Twitter
Entry Requirement:
This course is available to all learners, of all academic backgrounds.
Learners should be aged 16 or over to undertake the qualification.
Good understanding of English language, numeracy and ICT are required to attend this course.
Assessment: 
At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.
Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.
Certification: 
After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24.
PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.
Why choose us?
Affordable, engaging & high-quality e-learning study materials;
Tutorial videos/materials from the industry leading experts;
Study in a user-friendly, advanced online learning platform;
Efficient exam systems for the assessment and instant result;
The UK & internationally recognised accredited qualification;
Access to course content on mobile, tablet or desktop from anywhere anytime;
The benefit of career advancement opportunities;
24/7 student support via email.
Career Path:
The Understanding Big Data Course will be very beneficial and helpful, especially to the following careers:
Businessman
Marketing and Promotions Specialist
Marketing Manager
Online Content Creator
Sales Manager
Sales and Promotions Specialist
Social Media Specialist.
Understanding Big Data			
	What Is Big Data? Hint: You're a Part of It Every Day		01:00:00
	Why Is Big Data Important?		01:00:00
	Why IBM for Big Data?		01:00:00
	All About Hadoop: The Big Data Lingo Chapter		01:00:00
	InfoSphere BigInsights: Analytics for Big Data at Rest		01:00:00
	IBM InfoSphere Streams: Analytics for Big Data in Motion		01:00:00
Mock Exam			
	Mock Exam-Understanding Big Data		00:20:00
Final Exam			
	Final Exam-Understanding Big Data		00:20:00
Certificate and Transcript			
	Order Your Certificates and Transcripts		00:00:00

John Academy

Online Course Marketing

Business Analytics & Intelligence

Big Data Analytics

Data Science

Big Data

Google Digital Marketing

Understanding Big Data

<div>
					<div>
								<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
							</div>
				</div>
			<h4><b>Deal with large numbers and key information in this Big Data Course</b></h4>
<p><span>Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Innovative Course will solve all of your problems!</span></p>
<p><span>Big data is a term that describes the large volume of data - both structured and unstructured - that inundates a business on a day-to-day basis.</span> <span>Interpreting data is of immense importance when you handle data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make your own database and reap its benefits. Since there are people who do not like to deal with database, scripts and all the technical parts, this hinders them to start learning because they already have the mindset that it is difficult.</span></p>
<p><span>Understanding Big Data course will give you a clear perception on how to deal with large data and ways you can easily handle them. This course has multiple units designed to help your data managing skills.</span></p>
<h3><b>Course Highlights</b></h3>
<p><b>Understanding Big Data</b><span> is an award winning and the best selling </span><b></b><span> course that has been given the CPD Certification &amp; CiQ accreditation. It is the most suitable course anyone looking to work in this or relevant sector.</span></p>
<p><span>It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed </span><b>Understanding Big Data</b><span> into </span><b>6</b><span> modules for teaching you everything you need to become successful in this profession.</span></p>
<p><span>To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just </span><b>6 hours</b><span> hours and it is also possible to study at your own pace.</span></p>
<p><span>We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.</span></p>
<p><span>For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.</span></p>
<h3><b>Why You Should Choose</b><b> Understanding Big Data</b></h3>
<ul>
<li><span>Lifetime access to the course</span></li>
<li><span>No hidden fees or exam charges</span></li>
<li><span>CPD Accredited certification on successful completion</span></li>
<li><span>Full Tutor support on weekdays (Monday - Friday)</span></li>
<li><span>Efficient exam system, assessment and instant results</span></li>
<li><span>Download Printable PDF certificate immediately after completion</span></li>
<li><span>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</span></li>
<li><span>Improve your chance of gaining professional skills and better earning potential.</span></li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Understanding Big Data </b><span>is CPD certified and CiQ accredited. This makes it perfect for anyone trying to learn potential professional skills.</span></p>
<p><span>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</span></p>
<h3><b>Requirements</b></h3>
<p><span>Our</span><b> Understanding Big Data</b><span> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</span></p>
<h3><b>Career Path</b></h3>
<p><span>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and CiQ accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. </span></p><table>				<tbody><tr>
					<td colspan="4">Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
				</tbody></table>

Deal with large numbers and key information in this Big Data Course
Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Innovative Course will solve all of your problems!
Big data is a term that describes the large volume of data - both structured and unstructured - that inundates a business on a day-to-day basis. Interpreting data is of immense importance when you handle data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make your own database and reap its benefits. Since there are people who do not like to deal with database, scripts and all the technical parts, this hinders them to start learning because they already have the mindset that it is difficult.
Understanding Big Data course will give you a clear perception on how to deal with large data and ways you can easily handle them. This course has multiple units designed to help your data managing skills.
Course Highlights
Understanding Big Data is an award winning and the best selling  course that has been given the CPD Certification & CiQ accreditation. It is the most suitable course anyone looking to work in this or relevant sector.
It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Understanding Big Data into 6 modules for teaching you everything you need to become successful in this profession.
To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 6 hours hours and it is also possible to study at your own pace.
We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.
For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.
Why You Should Choose Understanding Big Data
Lifetime access to the course
No hidden fees or exam charges
CPD Accredited certification on successful completion
Full Tutor support on weekdays (Monday - Friday)
Efficient exam system, assessment and instant results
Download Printable PDF certificate immediately after completion
Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.
Improve your chance of gaining professional skills and better earning potential.
Who is this Course for?
Understanding Big Data is CPD certified and CiQ accredited. This makes it perfect for anyone trying to learn potential professional skills.
As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.
Requirements
Our Understanding Big Data is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.
Career Path
You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and CiQ accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. 
Understanding Big Data			
	What Is Big Data? Hint: You're a Part of It Every Day	FREE	01:00:00
	Why Is Big Data Important?	FREE	01:00:00
	Why IBM for Big Data?		01:00:00
	All About Hadoop: The Big Data Lingo Chapter		01:00:00
	InfoSphere BigInsights: Analytics for Big Data at Rest		01:00:00
	IBM InfoSphere Streams: Analytics for Big Data in Motion		01:00:00
Mock Exam			
Final Exam			

iStudy UK

Data Engineering

Data Skills

<div>
					<div>
								<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
							</div>
				</div>
			<p>Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!<strong> </strong></p>
<p><span>Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. </span><span>In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations.</span></p>
<h3><b>Course Highlights</b></h3>
<p><b>Data Bundle Course</b> is an award winning and the best selling <b></b> course that has been given the CPD Certification &amp; IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector.</p>
<p>It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed <b>Data Bundle Course</b> into <b>several</b> modules for teaching you everything you need to become successful in this profession.</p>
<p>To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just <b>20/30</b> hours and it is also possible to study at your own pace.</p>
<p>We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.</p>
<p>For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.</p>
<h3><b>Why You Should Choose</b><b> Data Bundle Course</b></h3>
<ul>
<li>Lifetime access to the course</li>
<li>No hidden fees or exam charges</li>
<li>CPD Accredited certification on successful completion</li>
<li>Full Tutor support on weekdays (Monday - Friday)</li>
<li>Efficient exam system, assessment and instant results</li>
<li>Download Printable PDF certificate immediately after completion</li>
<li>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</li>
<li>Improve your chance of gaining professional skills and better earning potential.</li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Data Bundle Course </b>is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.</p>
<p>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</p>
<h3><b>Requirements</b></h3>
<p>Our<b> Data Bundle Course</b> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</p>
<h3><b>Career Path</b></h3>
<p>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume.</p><table>				<tbody><tr>
					<td colspan="4">Module 1: Database Basics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is a Database</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Definition of Terms</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Users and Languages</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Components of a Database System</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Set Concepts</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relations as a Database</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relational Database Operators</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database keys</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 2: Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 3: Data Protection</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Internet Marketers Need More Protection</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>You Can't Be Anonymous</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Start With Basic Security Measures</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Disclaimers</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Proper Use Of Email</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Product Rights</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Your Website</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Terms Of Use Or Service</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Privacy Policy</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
				</tbody></table>

Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems! 
Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations.
Course Highlights
Data Bundle Course is an award winning and the best selling  course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector.
It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Data Bundle Course into several modules for teaching you everything you need to become successful in this profession.
To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace.
We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.
For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.
Why You Should Choose Data Bundle Course
Lifetime access to the course
No hidden fees or exam charges
CPD Accredited certification on successful completion
Full Tutor support on weekdays (Monday - Friday)
Efficient exam system, assessment and instant results
Download Printable PDF certificate immediately after completion
Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.
Improve your chance of gaining professional skills and better earning potential.
Who is this Course for?
Data Bundle Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.
As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.
Requirements
Our Data Bundle Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.
Career Path
You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume.
Module 1: Database Basics			
	What is a Database	FREE	01:00:00
	Definition of Terms	FREE	01:00:00
	Database Users and Languages		01:00:00
	Components of a Database System		01:00:00
	Basic Set Concepts		01:00:00
	Relations as a Database		01:00:00
	Relational Database Operators		01:00:00
	Database keys		01:00:00
Module 2: Understanding Big Data			
	What Is Big Data? Hint: You're a Part of It Every Day	FREE	01:00:00
	Why Is Big Data Important?	FREE	01:00:00
	Why IBM for Big Data?		01:00:00
	All About Hadoop: The Big Data Lingo Chapter		01:00:00
	InfoSphere BigInsights: Analytics for Big Data at Rest		01:00:00
	IBM InfoSphere Streams: Analytics for Big Data in Motion		01:00:00
Module 3: Data Protection			
	Why Internet Marketers Need More Protection	FREE	01:00:00
	You Can't Be Anonymous	FREE	00:15:00
	Start With Basic Security Measures		01:00:00
	Using Disclaimers		01:00:00
	Proper Use Of Email		01:00:00
	Protecting Product Rights		01:00:00
	Protecting Your Website		01:00:00
	Terms Of Use Or Service		00:30:00
	Privacy Policy		01:00:00

AWS Certified Database

Data Bundle Course

<div>
	<blockquote><p>Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!</p></blockquote>
<h3><strong>Description: </strong></h3>
<p><span>Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. </span><span>In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations.</span></p>
<h3><strong>Who is the course for?</strong></h3>
<ul>
<li><span>Employees of the business industry and other businessmen who want to learn how to utilise and create their database.</span></li>
<li><span>Anyone who wants to surf the net safely.</span></li>
<li><span>People who have an interest in setting up their database and learn to become an expert on it.</span></li>
</ul>
<h3><b>Entry Requirement:</b></h3>
<ul>
<li><span>This course is available to all learners, of all academic backgrounds. </span></li>
<li><span>Learners should be aged 16 or over to undertake the qualification.</span></li>
<li><span>Good understanding of English language, numeracy and ICT are required to attend this course.</span></li>
</ul>
<h3><strong>Assessment:</strong></h3>
<ul>
<li>At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.</li>
<li>Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.</li>
</ul>
<h3><strong>Certification:</strong></h3>
<ul>
<li>After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24.</li>
<li>PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.</li>
</ul>
<h3><strong>Why choose us?</strong></h3>
<ul>
<li>Affordable, engaging &amp; high-quality e-learning study materials;</li>
<li>Tutorial videos/materials from the industry leading experts;</li>
<li>Study in a user-friendly, advanced online learning platform;</li>
<li>Efficient exam systems for the assessment and instant result;</li>
<li>The UK &amp; internationally recognised accredited qualification;</li>
<li>Access to course content on mobile, tablet or desktop from anywhere anytime;</li>
<li>The benefit of career advancement opportunities;</li>
<li>24/7 student support via email.</li>
</ul>
<h3><b>Career Path:</b></h3>
<p><span>The Data Bundle Course will be very beneficial and helpful, especially to the following careers:</span></p>
<ul>
<li><span>Businessman</span></li>
<li><span>Product Creators</span></li>
<li><span>Programmers</span></li>
<li><span>Sales Managers</span></li>
<li><span>Top Executives</span></li>
<li><span>Website Developer</span></li>
<li><span>Data protection associate</span></li>
<li><span>Legal counsellor</span></li>
<li><span>Head of data protection</span></li>
<li><span>Commercial solicitor</span></li>
<li><span>Data privacy solicitor.</span></li>
</ul>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Module 1: Database Basics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is a Database</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Definition of Terms</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Users and Languages</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Components of a Database System</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Set Concepts</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relations as a Database</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relational Database Operators</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database keys</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 2: Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 3: Data Protection</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Internet Marketers Need More Protection</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>You Can't Be Anonymous</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Start With Basic Security Measures</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Disclaimers</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Proper Use Of Email</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Product Rights</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Your Website</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Terms Of Use Or Service</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Privacy Policy</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Refer A Friend</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Refer A Friend</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Data Bundle Course</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Data Bundle Course</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!
Description: 
Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations.
Who is the course for?
Employees of the business industry and other businessmen who want to learn how to utilise and create their database.
Anyone who wants to surf the net safely.
People who have an interest in setting up their database and learn to become an expert on it.
Entry Requirement:
This course is available to all learners, of all academic backgrounds.
Learners should be aged 16 or over to undertake the qualification.
Good understanding of English language, numeracy and ICT are required to attend this course.
Assessment:
At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.
Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.
Certification:
After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24.
PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.
Why choose us?
Affordable, engaging & high-quality e-learning study materials;
Tutorial videos/materials from the industry leading experts;
Study in a user-friendly, advanced online learning platform;
Efficient exam systems for the assessment and instant result;
The UK & internationally recognised accredited qualification;
Access to course content on mobile, tablet or desktop from anywhere anytime;
The benefit of career advancement opportunities;
24/7 student support via email.
Career Path:
The Data Bundle Course will be very beneficial and helpful, especially to the following careers:
Businessman
Product Creators
Programmers
Sales Managers
Top Executives
Website Developer
Data protection associate
Legal counsellor
Head of data protection
Commercial solicitor
Data privacy solicitor.
Module 1: Database Basics			
	What is a Database		01:00:00
	Definition of Terms		01:00:00
	Database Users and Languages		01:00:00
	Components of a Database System		01:00:00
	Basic Set Concepts		01:00:00
	Relations as a Database		01:00:00
	Relational Database Operators		01:00:00
	Database keys		01:00:00
Module 2: Understanding Big Data			
	What Is Big Data? Hint: You're a Part of It Every Day		01:00:00
	Why Is Big Data Important?		01:00:00
	Why IBM for Big Data?		01:00:00
	All About Hadoop: The Big Data Lingo Chapter		01:00:00
	InfoSphere BigInsights: Analytics for Big Data at Rest		01:00:00
	IBM InfoSphere Streams: Analytics for Big Data in Motion		01:00:00
Module 3: Data Protection			
	Why Internet Marketers Need More Protection		00:30:00
	You Can't Be Anonymous		00:15:00
	Start With Basic Security Measures		01:00:00
	Using Disclaimers		01:00:00
	Proper Use Of Email		01:00:00
	Protecting Product Rights		01:00:00
	Protecting Your Website		01:00:00
	Terms Of Use Or Service		00:30:00
	Privacy Policy		01:00:00
Refer A Friend			
	Refer A Friend		00:00:00
Mock Exam			
	Mock Exam- Data Bundle Course		00:30:00
Final Exam			
	Final Exam- Data Bundle Course		00:30:00
Order Your Certificate and Transcript			
	Order Your Certificates and Transcripts		00:00:00

Data Protection

Data Security

<strong>The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.</strong>
        <p>Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects.

You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project.

By the end of this course, you'll have created a face recognition application using everything you've learned in this course.

The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Train different types of machine learning models for your project<br>Prepare and clean data for your project<br>Optimize your machine learning model to best suit your project needs<br>Build your own machine learning model from scratch<br>Apply performance metrics to track the performance of your model<br>Use scikit-learn to perform calculations in your project</p>
        <h2>Audience</h2><p>This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.</p>
        <h2>Approach</h2><p>This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.</p>
        <h2>Key Features</h2><p>Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><br><h4>2. Why Machine Learning</h4><p></p><br><h4>3. Process of Learning from Data</h4><p></p><br><h4>4. Machine Learning Methods</h4><p></p><br><h4>5. Data Preparation and Preprocessing</h4><p></p><br><h4>6. Machine Learning Models and Optimization</h4><p></p><br><h4>7. Building Machine Learning Model from Scratch</h4><p></p><br><h4>8. Overfitting, Underfitting and Generalization</h4><p></p><br><h4>9. Machine Learning Model Performance Metrics</h4><p></p><br><h4>10. Dimensionality Reduction</h4><p></p><br><h4>11. Deep Learning Overview</h4><p></p><br><h4>12. Hands-on Machine Learning Project Using Scikit-Learn</h4><p></p><br><h4>13. OPTIONAL Section- Mathematics Wrap-up</h4><p></p>

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.
Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects. You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project. By the end of this course, you'll have created a face recognition application using everything you've learned in this course. The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners
What You Will Learn
Train different types of machine learning models for your project
Prepare and clean data for your project
Optimize your machine learning model to best suit your project needs
Build your own machine learning model from scratch
Apply performance metrics to track the performance of your model
Use scikit-learn to perform calculations in your project
Audience
This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.
Approach
This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.
Key Features
Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms
Github Repo
https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners
About the Author
AI Sciences
AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction to the Course

2. Why Machine Learning

3. Process of Learning from Data

4. Machine Learning Methods

5. Data Preparation and Preprocessing

6. Machine Learning Models and Optimization

7. Building Machine Learning Model from Scratch

8. Overfitting, Underfitting and Generalization

9. Machine Learning Model Performance Metrics

10. Dimensionality Reduction

11. Deep Learning Overview

12. Hands-on Machine Learning Project Using Scikit-Learn

13. OPTIONAL Section- Mathematics Wrap-up


The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Python Machine Learning Crash Course for Beginners

<strong>This video course is designed to prepare you to achieve the AWS Certified Solution Architect Associate SAA-C02 exam. The course covers all the major domains needed for the certification and will help you develop the basics of AWS.</strong>
        <p>An AWS Certification is one of the hottest IT certifications in the job market today! Get your AWS Certified Solutions Architect Associate certification and change your life. The world has been experiencing major changes in the last few years. Rather than running infrastructure on prep (on premise), companies are moving to the cloud.

This course was created from the ground up for the new AWS certification exam. Make sure you're ready to pass the AWS Solutions Architect Associate exam by taking this course. 
This course includes the following: 

Concise, focused lectures on specific AWS concepts and technologies
An organization that directly mirrors the official exam objectives
Hands-on challenges that ensure you have mastered key concepts 

Amazon Web Services or AWS is one of the most important skills you need to gain in 2021. Don't miss out on this opportunity to improve your career with cloud services.

All resources and code files are placed here: https://github.com/PacktPublishing/AWS-Certified-Solutions-Architect-Associate-SAA-C02-Exam-Prep-Course</p>
        <h2>What You Will Learn</h2><p>Learn to build high-performance, cost-optimized, resilient, and operationally efficient AWS architectures<br>Prepare for the SAA-C02 AWS Solutions Architect - Associate exam<br>Learn about cost-optimized network architectures<br>Learn about choosing resilient storage<br>Learn about AWS global infrastructure<br>Learn about multi-tier architecture</p>
        <h2>Audience</h2><p>This course is for anyone who is preparing for AWS Certified Solution Architect Associate SAA-C02 exam. Anyone who's interested in architecting solutions in AWS will also find the contents of this course useful.</p>
        <h2>Approach</h2><p>This comprehensive guide to the AWS Certified Solutions Architect Associate SAA-C02 exam has the right balance of theory and practice for you.</p>
        <h2>Key Features</h2><p>Understand the various advantages of the multi-tier design * Learn about self-managed DB solutions * Understand about AWS WAF and other tools</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/AWS-Certified-Solutions-Architect-Associate-SAA-C02-Exam-Prep-Course</p>
        <h2>About the Author</h2><h3>Anthony Sequeira</h3><p>Anthony Sequeira, CCIE No. 15626, is a seasoned trainer and author regarding all levels and tracks of Cisco certification. Anthony formally began his career in the information technology industry in 1994 with IBM in Tampa, Florida. He quickly formed his own computer consultancy, Computer Solutions, and then discovered his true passion-teaching and writing about Microsoft and Cisco technologies.

Anthony joined Mastering Computers in 1996 and lectured to massive audiences around the world about the latest in computer technologies. Mastering Computers became the revolutionary online training company, KnowledgeNet, and Anthony trained there for many years.</p>
        <h2>Course Outline</h2><h4>1. The Basics of Cloud and AWS</h4><p></p><br><h4>2. Resilient Architectures</h4><p></p><br><h4>3. High Performance Architectures</h4><p></p><br><h4>4. Secure Architectures</h4><p></p><br><h4>5. Cost Optimized Architectures</h4><p></p>

This video course is designed to prepare you to achieve the AWS Certified Solution Architect Associate SAA-C02 exam. The course covers all the major domains needed for the certification and will help you develop the basics of AWS.
An AWS Certification is one of the hottest IT certifications in the job market today! Get your AWS Certified Solutions Architect Associate certification and change your life. The world has been experiencing major changes in the last few years. Rather than running infrastructure on prep (on premise), companies are moving to the cloud. This course was created from the ground up for the new AWS certification exam. Make sure you're ready to pass the AWS Solutions Architect Associate exam by taking this course. This course includes the following: Concise, focused lectures on specific AWS concepts and technologies
An organization that directly mirrors the official exam objectives
Hands-on challenges that ensure you have mastered key concepts Amazon Web Services or AWS is one of the most important skills you need to gain in 2021. Don't miss out on this opportunity to improve your career with cloud services. All resources and code files are placed here: https://github.com/PacktPublishing/AWS-Certified-Solutions-Architect-Associate-SAA-C02-Exam-Prep-Course
What You Will Learn
Learn to build high-performance, cost-optimized, resilient, and operationally efficient AWS architectures
Prepare for the SAA-C02 AWS Solutions Architect - Associate exam
Learn about cost-optimized network architectures
Learn about choosing resilient storage
Learn about AWS global infrastructure
Learn about multi-tier architecture
Audience
This course is for anyone who is preparing for AWS Certified Solution Architect Associate SAA-C02 exam. Anyone who's interested in architecting solutions in AWS will also find the contents of this course useful.
Approach
This comprehensive guide to the AWS Certified Solutions Architect Associate SAA-C02 exam has the right balance of theory and practice for you.
Key Features
Understand the various advantages of the multi-tier design * Learn about self-managed DB solutions * Understand about AWS WAF and other tools
Github Repo
https://github.com/PacktPublishing/AWS-Certified-Solutions-Architect-Associate-SAA-C02-Exam-Prep-Course
About the Author
Anthony Sequeira
Anthony Sequeira, CCIE No. 15626, is a seasoned trainer and author regarding all levels and tracks of Cisco certification. Anthony formally began his career in the information technology industry in 1994 with IBM in Tampa, Florida. He quickly formed his own computer consultancy, Computer Solutions, and then discovered his true passion-teaching and writing about Microsoft and Cisco technologies. Anthony joined Mastering Computers in 1996 and lectured to massive audiences around the world about the latest in computer technologies. Mastering Computers became the revolutionary online training company, KnowledgeNet, and Anthony trained there for many years.
Course Outline
1. The Basics of Cloud and AWS

2. Resilient Architectures

3. High Performance Architectures

4. Secure Architectures

5. Cost Optimized Architectures


Cloud Computing

This video course is designed to prepare you to achieve the AWS Certified Solution Architect Associate SAA-C02 exam. The course covers all the major domains needed for the certification and will help you develop the basics of AWS.

AWS Certified Solutions Architect Associate (SAA-C02) Exam Prep Course

<strong>The course is crafted to reflect the most in-demand workplace skills. It will help you understand all the essential concepts and methodologies with regards to PySpark. This course provides a detailed compilation of all the basics, which will motivate you to make quick progress and experience much more than what you have learned.</strong>
        <p>The hottest buzzwords in the Big Data analytics industry are Python and Apache Spark. PySpark supports the collaboration of Python and Apache Spark. In this course, you'll start right from the basics and proceed to the advanced levels of data analysis. From cleaning data to building features and implementing machine learning (ML) models, you'll learn how to execute end-to-end workflows using PySpark.

Right through the course, you'll be using PySpark to perform data analysis. You'll explore Spark RDDs, Dataframes, and a bit of Spark SQL queries. Also, you'll explore the transformations and actions that can be performed on the data using Spark RDDs and Dataframes. You'll also explore the ecosystem of Spark and Hadoop and their underlying architecture. You'll use the Databricks environment to run the Spark scripts and explore it as well.

Finally, you'll have a taste of Spark with AWS cloud. You'll see how we can leverage AWS storages, databases, computations, and how Spark can communicate with different AWS services and get its required data.

By the end of this course, you'll be able to understand and implement the concepts of PySpark and AWS to solve real-world problems.

The code bundles are available here: https://github.com/PacktPublishing/PySpark-and-AWS-Master-Big-Data-with-PySpark-and-AWS</p>
        <h2>What You Will Learn</h2><p>Learn the importance of Big Data<br>Explore the Spark and Hadoop architecture and ecosystem<br>Learn about PySpark Dataframes and PySpark DataFrames actions<br>Use PySpark DataFrames transformations<br>Apply collaborative filtering to develop a recommendation system using ALS models</p>
        <h2>Audience</h2><p>This course requires python programming experience as a prerequisite.</p>
        <h2>Approach</h2><p>In this learning-by-doing course, every theoretical explanation is followed by practical implementation. At the end of each concept, homework/tasks/activities/quizzes along with solutions are assigned. This is to evaluate and promote your learning based on the previous concepts and methods you have learned. Most of these activities will be coding-based, as the aim is to get you up and running with implementations.</p>
        <h2>Key Features</h2><p>Relate the concepts and practical aspects of Spark and AWS with real-world problems * Implement any project that requires PySpark knowledge from scratch * Know the theory and practical aspects of PySpark and AWS</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/PySpark-and-AWS-Master-Big-Data-with-PySpark-and-AWS</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are a group of experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science.

They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Introduction to Hadoop, Spark EcoSystems and Architectures</h4><p></p><br><h4>3. Spark RDDs</h4><p></p><br><h4>4. Spark DFs</h4><p></p><br><h4>5. Collaborative filtering</h4><p></p><br><h4>6. Spark Streaming</h4><p></p><br><h4>7. ETL Pipeline</h4><p></p><br><h4>8. Project - Change Data Capture / Replication On Going</h4><p></p>

The course is crafted to reflect the most in-demand workplace skills. It will help you understand all the essential concepts and methodologies with regards to PySpark. This course provides a detailed compilation of all the basics, which will motivate you to make quick progress and experience much more than what you have learned.
The hottest buzzwords in the Big Data analytics industry are Python and Apache Spark. PySpark supports the collaboration of Python and Apache Spark. In this course, you'll start right from the basics and proceed to the advanced levels of data analysis. From cleaning data to building features and implementing machine learning (ML) models, you'll learn how to execute end-to-end workflows using PySpark. Right through the course, you'll be using PySpark to perform data analysis. You'll explore Spark RDDs, Dataframes, and a bit of Spark SQL queries. Also, you'll explore the transformations and actions that can be performed on the data using Spark RDDs and Dataframes. You'll also explore the ecosystem of Spark and Hadoop and their underlying architecture. You'll use the Databricks environment to run the Spark scripts and explore it as well. Finally, you'll have a taste of Spark with AWS cloud. You'll see how we can leverage AWS storages, databases, computations, and how Spark can communicate with different AWS services and get its required data. By the end of this course, you'll be able to understand and implement the concepts of PySpark and AWS to solve real-world problems. The code bundles are available here: https://github.com/PacktPublishing/PySpark-and-AWS-Master-Big-Data-with-PySpark-and-AWS
What You Will Learn
Learn the importance of Big Data
Explore the Spark and Hadoop architecture and ecosystem
Learn about PySpark Dataframes and PySpark DataFrames actions
Use PySpark DataFrames transformations
Apply collaborative filtering to develop a recommendation system using ALS models
Audience
This course requires python programming experience as a prerequisite.
Approach
In this learning-by-doing course, every theoretical explanation is followed by practical implementation. At the end of each concept, homework/tasks/activities/quizzes along with solutions are assigned. This is to evaluate and promote your learning based on the previous concepts and methods you have learned. Most of these activities will be coding-based, as the aim is to get you up and running with implementations.
Key Features
Relate the concepts and practical aspects of Spark and AWS with real-world problems * Implement any project that requires PySpark knowledge from scratch * Know the theory and practical aspects of PySpark and AWS
Github Repo
https://github.com/PacktPublishing/PySpark-and-AWS-Master-Big-Data-with-PySpark-and-AWS
About the Author
AI Sciences
AI Sciences are a group of experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction

2. Introduction to Hadoop, Spark EcoSystems and Architectures

3. Spark RDDs

4. Spark DFs

5. Collaborative filtering

6. Spark Streaming

7. ETL Pipeline

8. Project - Change Data Capture / Replication On Going


Java

Apache Spark

The course is crafted to reflect the most in-demand workplace skills. It will help you understand all the essential concepts and methodologies with regards to PySpark. This course provides a detailed compilation of all the basics, which will motivate you to make quick progress and experience much more than what you have learned.

PySpark and AWS: Master Big Data with PySpark and AWS

<strong>Develop the most in-demand skills for DevOps and cloud professionals</strong>
        <p>Most businesses are now migrating to Cloud and other cloud-related technologies, making Linux command line expertise a must-have skill for DevOps and cloud engineers. This course will teach you the fundamentals of the Linux command line through an enjoyable learning experience. It includes some interesting videos that will guide you in setting up your own Linux VM and a Linux EC2 instance in the AWS cloud.

This hands-on course will help you master the Linux command line with bite-sized videos that guide you at every step. You'll learn to work with files and folders, understand the Linux filesystem layout, and navigate through the filesystem efficiently. You'll get to grips with topics such as Linux permissions, hard and soft links, and text processing commands. As you advance, you'll cover standard I/O and redirection and learn to compress and uncompress files and folders. 

The course will also take you through sudo, Vi editor, scheduling jobs using cron, customizing a bash environment, and much more!

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Mastering-Linux-Command-Line</p>
        <h2>What You Will Learn</h2><p>Understand the Linux command line from the bottom up<br>Explore the Linux filesystem and navigation<br>Work with file attributes and permissions<br>Learn Vi Editor and its practical uses<br>Use cron to schedule tasks<br>Work efficiently with different text processing commands<br>Create your own AWS Linux EC2 instance for practice</p>
        <h2>Audience</h2><p>This course is for beginners as well as experts looking for a refresher!</p>
        <h2>Approach</h2><p>Every topic is broken down into easy steps to help you get well-versed with what you're learning.</p>
        <h2>Key Features</h2><p>Learn the Linux command line from scratch * Browse the Linux filesystem efficiently * Create your own commands to save time</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/mastering-linux-command-line</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. Level "0"</h4><p></p><br><h4>2. Getting Started</h4><p></p><br><h4>3. Understanding Linux File System</h4><p></p><br><h4>4. Working with Directories & Files</h4><p></p><br><h4>5. Standard I/O & Redirection</h4><p></p><br><h4>6. Users, Groups & Switching User</h4><p></p><br><h4>7. File Attributes and Permissions</h4><p></p><br><h4>8. Editing Files using "vi" editor</h4><p></p><br><h4>9. Regular Expressions</h4><p></p><br><h4>10. Text Processing - Filters & Searching</h4><p></p><br><h4>11. Understanding Links (Hard & Soft/Symbolic)</h4><p></p><br><h4>12. The Process</h4><p></p><br><h4>13. Scheduling Jobs</h4><p></p><br><h4>14. Handy Tools/Utilities</h4><p></p><br><h4>15. Connecting to Linux Systems</h4><p></p><br><h4>16. Customizing Shell Environment</h4><p></p><br><h4>17. Shell Scripting Basics</h4><p></p><br><h4>18. Appendix & Miscellaneous</h4><p></p><br><h4>19. Test Your Knowledge</h4><p></p><br><h4>20. Conclusion</h4><p></p>

Develop the most in-demand skills for DevOps and cloud professionals
Most businesses are now migrating to Cloud and other cloud-related technologies, making Linux command line expertise a must-have skill for DevOps and cloud engineers. This course will teach you the fundamentals of the Linux command line through an enjoyable learning experience. It includes some interesting videos that will guide you in setting up your own Linux VM and a Linux EC2 instance in the AWS cloud. This hands-on course will help you master the Linux command line with bite-sized videos that guide you at every step. You'll learn to work with files and folders, understand the Linux filesystem layout, and navigate through the filesystem efficiently. You'll get to grips with topics such as Linux permissions, hard and soft links, and text processing commands. As you advance, you'll cover standard I/O and redirection and learn to compress and uncompress files and folders. The course will also take you through sudo, Vi editor, scheduling jobs using cron, customizing a bash environment, and much more! All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Mastering-Linux-Command-Line
What You Will Learn
Understand the Linux command line from the bottom up
Explore the Linux filesystem and navigation
Work with file attributes and permissions
Learn Vi Editor and its practical uses
Use cron to schedule tasks
Work efficiently with different text processing commands
Create your own AWS Linux EC2 instance for practice
Audience
This course is for beginners as well as experts looking for a refresher!
Approach
Every topic is broken down into easy steps to help you get well-versed with what you're learning.
Key Features
Learn the Linux command line from scratch * Browse the Linux filesystem efficiently * Create your own commands to save time
Github Repo
https://github.com/packtpublishing/mastering-linux-command-line
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. Level "0"

2. Getting Started

3. Understanding Linux File System

4. Working with Directories & Files

5. Standard I/O & Redirection

6. Users, Groups & Switching User

7. File Attributes and Permissions

8. Editing Files using "vi" editor

9. Regular Expressions

10. Text Processing - Filters & Searching

11. Understanding Links (Hard & Soft/Symbolic)

12. The Process

13. Scheduling Jobs

14. Handy Tools/Utilities

15. Connecting to Linux Systems

16. Customizing Shell Environment

17. Shell Scripting Basics

18. Appendix & Miscellaneous

19. Test Your Knowledge

20. Conclusion


Linux Command Line

Linux

Develop the most in-demand skills for DevOps and cloud professionals

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