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Overview of Intermediate Python Coding Join our Intermediate Python Coding course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Intermediate Python Coding course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Intermediate Python Coding course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Intermediate Python Coding Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Intermediate Python Coding. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Intermediate Python Coding course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Intermediate Python Coding is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Intermediate Python Coding course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Intermediate Python Coding Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Frequently Asked Questions (FAQ's) Q. How do I purchase a course? 1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website. 2. Click on Take This Course button, and you will be directed to the Cart page. 3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details. 4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal. Q. I have purchased the course when will I be able to access the materials? After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn't receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase. Q. I haven't received my certificate yet. What should I do? You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK. For International Delivery, it will take 20-25 days. If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly. Q. I don't have a credit/debit card, what other methods of payment do you accept? You can make the payment using PayPal or you can Bank Transfer the amount. For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice. After that, you will receive an email with the invoice and bank details and you can make the payment accordingly. Q. Can I do the courses from outside UK? We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device. Q. When I log into the account it says 'Contact Administrator'. To resolve this issue, please log out of your account and then log back in. Course Curriculum Section 01: Introduction Course Introduction 00:02:00 Course Curriculum 00:05:00 How to get Pre-requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask Great Questions 00:02:00 Section 02: Class Introduction to Class 00:07:00 Create a Class 00:09:00 Calling a Class Object 00:08:00 Class Parameters - Objects 00:05:00 Access Modifiers(theory) 00:10:00 Summary 00:02:00 Section 03: Methods Introduction to methods 00:06:00 Create a method 00:07:00 Method with parameters 00:12:00 Method default parameter 00:06:00 Multiple parameters 00:05:00 Method return keyword 00:04:00 Method Overloading 00:05:00 Summary 00:02:00 Section 04: OOPs Object-Oriented Programming Introduction to OOPs 00:05:00 Classes and Objects 00:08:00 Class Constructors 00:07:00 Assessment Test1 00:01:00 Solution for Assessment Test1 00:03:00 Summary 00:01:00 Section 05: Inheritance and Polymorphism Introduction 00:04:00 Inheritance 00:13:00 Getter and Setter Methods 00:12:00 Polymorphism 00:13:00 Assessment Test2 00:03:00 Solution for Assessment Test2 00:03:00 Summary 00:02:00 Section 06: Encapsulation and Abstraction Introduction 00:03:00 Access Modifiers (public, protected, private) 00:21:00 Encapsulation 00:07:00 Abstraction 00:07:00 Summary 00:02:00 Section 07: Python Games for Intermediate Introduction 00:01:00 Dice Game 00:06:00 Card and Deck Game Playing 00:07:00 Summary 00:01:00 Section 08: Modules and Packages Introduction 00:01:00 PIP command installations 00:12:00 Modules 00:12:00 Naming Module 00:03:00 Built-in Modules 00:03:00 Packages 00:08:00 List Packages 00:03:00 Summary 00:02:00 Section 09: Working Files with Pandas Introduction 00:02:00 Reading CSV files 00:11:00 Writing CSV files 00:04:00 Summary 00:01:00 Section 10: Error and ExceptionHandling Introduction 00:01:00 Errors - Types of Errors 00:08:00 Try - Except Exceptions Handling 00:07:00 Creating User-Defined Message 00:05:00 Try-Except-FinallyBlocks 00:07:00 Summary 00:02:00

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their Python proficiencies. Overview In this course, students will expand their Python proficiencies. Students will: Create object-oriented Python applications. Design and create a GUI. Store data in a database from Python applications. Communicate using client/server network protocols. Manage multiple processes with threading. Implement unit testing. Package an application for distribution. Students will build upon basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages. Usinig Object-Oriented Python Create and Use Classes in an Application Use Magic Methods Incorporate Class Factories Creating a GUI Design a GUI Create and Arrange a GUI Layout Interact with User Events Using Databases Basics of Data Management Use SQLite Databases Manipulate SQL Data Network Programming Basics of Network Programming Create a Client/Server Program Managing Multiple Processes with Threading Create a Threaded Application Manage Thread Resources Implementing Unit Testing Test-Driven Development Write and Run a Unit Test Case Create a Test Suite Packaging an Application for Distribution Create a Package Structure Generate the Package Distribution Files Generate a Windows Executable Additional course details: Nexus Humans Python Programming - Advanced training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python Programming - Advanced course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

About Course Data Science and Data Analytics with Python: A Comprehensive Course for Beginners Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python. This course is designed for beginners of all skill levels, with no prior programming experience required. You will learn the essential skills to embark on your data-driven journey, including: Data manipulation with NumPy and Pandas Data visualization with Matplotlib and Seaborn Statistical analysis with Python Machine learning and artificial intelligence You will also gain hands-on experience with real-world data projects, allowing you to apply your newfound knowledge to solve real-world problems. By the end of this course, you will be able to: Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems This course is the perfect launchpad for your data science journey. Whether you are looking to pivot your career, enhance your skill set, or simply quench your curiosity, this course will give you the foundation you need to succeed. Enroll today and start exploring the fascinating world of data science together! What Will You Learn? Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems Course Content Introduction to Python Data Science Introduction to Python Data Science Environment Setup Data Cleaning Packages Working with the Numpy package Working with Pandas Data science package Data Visualization Packages Working with Matplotlib Data Science package (Part - 1) Working with Matplotlib Data Science (Part - 2) A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics

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In this course, you will learn how to author machine learning models in Python without the aid of frameworks or libraries from scratch. Discover the process of loading data, evaluating models, and implementing machine learning algorithms.

Course Overview Gain the capability to multi-skill in programming and make a full stack web GIS application by taking this course on creating Machine Learning for Predictive Maps in Python and Leaflet Level 4. This expertly compiled coaching will show you how to use the tools and functions of the most widely-used programming language in the world to make powerful forecasting applications. This comprehensive Python tutorial is the perfect way to learn how to create impressive and practical pieces of IT work. From basic installations to setting up unique predictive environments, you will be shown how to produce complex forecasting routines right from scratch and for all manner of uses. By mastering the foundational skills and knowledge of machine learning on the most popular platform, you will raise your profile to a higher level for employment opportunities and organisational value in the IT sector.  This best selling Machine Learning for Predictive Maps in Python and Leaflet Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Predictive Maps in Python and Leaflet Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Predictive Maps in Python and Leaflet Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Predictive Maps in Python and Leaflet Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Predictive Maps in Python and Leaflet Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Predictive Maps in Python and Leaflet Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Predictive Maps in Python and Leaflet Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Build your own AI-driven image classifier web application

Overview Python Programming for Kids and Beginners Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Python Programming for Kids and Beginners Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Section 01: Introduction to the Course Introduction 00:02:00 Course Curriculum 00:03:00 How to Get Pre-Requisites 00:02:00 Getting started on Windows, Linux or MacOs 00:02:00 How to ask Great Questions 00:02:00 Section 02: Setting up Local Coding Environment What is Python 00:02:00 Installing Python step by step 00:05:00 Setting up Pycharm for project 00:04:00 Installing Pycharm IDE (Code Editor) 00:08:00 Creating Python .py files 00:03:00 Hello World program 00:03:00 Section 03: Drawing with Python - Level 1 Introduction to turtle 00:03:00 Let's make a turtle 00:05:00 Move your turtle 00:03:00 Create triangle 00:05:00 Create square 00:04:00 Assessment 1 00:01:00 Solution for assessment 1 00:02:00 Section 03: Drawing with Python - Level 1 Introduction to variables 00:02:00 Datatypes 00:07:00 What is a variable 00:05:00 Using a variable 00:07:00 Learn Maths with coding 00:05:00 Assessment 2 00:02:00 Solution for assessment 2 00:02:00 Section 05: Logical operators Introduction to operators 00:02:00 How to think logically 00:04:00 Logical operators 00:02:00 AND operator 00:04:00 OR operator 00:02:00 NOT operator 00:05:00 Assessment 3 00:02:00 Solution for assessment 3 00:01:00 Section 06: IF-else Statements If-else Introduction 00:03:00 If statement 00:05:00 If-else statement 00:03:00 Assessment 4 00:01:00 Solution for assessment 4 00:02:00 Section 07: Creating Patterns Creating Patterns 00:03:00 How to Repeat 00:04:00 How a For Loop Works 00:03:00 Let's Experiment 00:03:00 Results 00:02:00 Assessment 5 00:01:00 Solution for Assessment 5 00:01:00 Section 08: Drawing with Python - Level 2 Adding colour 00:02:00 Create circle 00:05:00 Fill Colors on circles 00:03:00 Dots, Pensize 00:03:00 Assessment 6 00:01:00 Solution for assessment 6 00:02:00 Section 09: Project Project overview 00:01:00 Project Source Code Solution 00:02:00

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