Course Description
Unfold the potential within you, and embark on a journey of mastering Python programming – from the fundamental building blocks to the pinnacle of expertise. This comprehensive course, crafted with meticulous care, empowers you to transform from a curious novice to a confident coding maestro, wielding Python’s power with finesse.
Within these engaging modules, you’ll delve into the core principles of Python, meticulously exploring data types, operators, control flow, and functions. As your proficiency blossoms, you’ll conquer advanced topics like object-oriented programming, powerful libraries like NumPy and Pandas, and the art of crafting polished scripts.
But this journey isn’t merely about acquiring technical prowess; it’s about unlocking a world of possibilities. By the course’s end, you’ll be equipped to embark on a rewarding career path, armed with the skills to tackle real-world challenges in diverse domains – from data analysis and web development to scientific computing and automation.
Learning Outcome
- Gain a solid foundation in Python syntax, data structures, and control flow mechanisms.
- Confidently navigate the Python ecosystem and continuously expand your knowledge.
- Explore advanced data types, object-oriented programming concepts, and popular libraries like NumPy and Pandas.
- Master essential functions, user input, and error-handling techniques.
- Craft polished, reusable Python scripts for various applications.
Why should you choose this course
- Study at your own pace
- Full Tutor support on weekdays (Monday – Friday)
- CPD Qualification Standards and accredited
- Efficient exam system, assessment, and instant results
- Gain professional skills and better earning potential
- No hidden fees or exam charges
- Our customer support team is always ready to help you
Entry requirements
This Python Programming: Beginner to Expert course is available to learners of all academic backgrounds, but you must be 16 or above to undertake the qualification.
Apart from that, all you need is an internet connection, a good understanding of English and a passion for learning.
Accredited Certification
After successfully completing the Python Programming: Beginner to Expert course, you will be able to get the and internationally accepted certificate to share your achievement with potential employers or include it in your CV.
Career path
- Machine Learning Engineer
- Business Intelligence Analyst
- Automation Engineer
- Software Developer
- Data Analyst
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Intro To Python Section Overview 00:06:00 -
What is Python Programming? 00:10:00
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Who is This Course For? 00:05:00
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Python Programming Marketplace 00:06:00
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Python Job Opportunities 00:05:00
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How To Land a Python Job Without a Degree 00:08:00
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Python Programmer Job Roles 00:09:00
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Python from A-Z Course Structure 00:04:00
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Getting Familiar with Python Section Overview 00:06:00
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Installing Python on Windows 00:10:00
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Anaconda and Jupyter Notebooks Part 1 00:08:00
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Anaconda and Jupyter Notebooks Part 2 00:16:00
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Comments 00:05:00
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Python Syntax 00:02:00
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Line Structure 00:03:00
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Line Structure Exercise 00:07:00
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Joining Lines 00:05:00
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Multiple Statements on a Single Line 00:05:00
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Indentation 00:08:00
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Basic Data Types Section Overview 00:08:00
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String Overview 00:10:00
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String Manipulation 00:07:00
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String Indexing 00:04:00
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String Slicing 00:08:00
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Printing 00:10:00
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Python Variables 00:08:00
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Integers and Floats 00:08:00
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Booleans 00:02:00
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Mini Project 1 : Letter Counter 00:20:00
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Python Operators Section Overview 00:04:00
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Comparison Operators 00:09:00
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Arithmetic Operators 00:08:00
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Assignment Operators 00:05:00
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Logical Operators 00:13:00
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Identity Operators 00:05:00
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Membership Operators 00:02:00
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Bitwise Operators 00:08:00
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Python Advanced Data Types Section Overview 00:11:00
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Sets 00:06:00
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List Overview 00:05:00
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List Slicing and Indexing 00:04:00
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Tuples 00:02:00
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Dictionaries 00:11:00
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When to use each one? 00:05:00
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Compound Data Types 00:03:00
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Control Flow Part 1 Section Overview 00:15:00
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Intro to Control Flow 00:01:00
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Basic Conditional Statements 00:14:00
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More Conditional Statements 00:05:00
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For Loops 00:10:00
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While Loops 00:12:00
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Control Flow Part 2 Section Overview 00:02:00
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Break Statements 00:08:00
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Continue Statements 00:05:00
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Zip Function 00:07:00
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Enumerate Function 00:04:00
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List Comprehension 00:04:00
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Python Functions Section Overview 00:03:00
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Intro to Functions 00:02:00
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Python help Function 00:03:00
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Defining Functions 00:09:00
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Variable Scope 00:08:00
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Doc Strings 00:04:00
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User Input and Error Handling Section Overview 00:02:00
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Introduction to error handling 00:03:00
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User Input 00:04:00
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Syntax Errors 00:04:00
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Exceptions 00:11:00
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Handling Exceptions Part 1 00:08:00
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Handling Exceptions Part 2 00:08:00
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Python Advanced Functions Section Overview 00:05:00
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Lambda Functions 00:05:00
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Functions args and kwargs 00:10:00
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Iterators 00:08:00
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Generators and Yield 00:12:00
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Map Function 00:14:00
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Filter Function 00:08:00
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Python Scripting and Libraries Section Overview 00:05:00
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What is a script? 00:01:00
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What is an IDE? 00:17:00
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What is a text editor? 00:12:00
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From Jupyter Notebook to VScode Part 1 00:15:00
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From Jupyter Notebook to VScode Part 2 00:05:00
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Importing Scripts 00:03:00
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Standard Libraries 00:04:00
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Third Party Libraries 00:06:00
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NumPy Section Overview 00:04:00
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Why use NumPy? 00:04:00
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NumPy Arrays 00:10:00
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Reshaping, Accessing, and Modifying 00:07:00
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Slicing and Copying 00:06:00
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Inserting, Appending, and Deleting 00:10:00
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Array Logical Indexing 00:04:00
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Broadcasting 00:08:00
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Intro to Pandas 00:17:00
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Pandas Series 00:17:00
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Pandas Series Manipulation 00:17:00
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Pandas DataFrame 00:17:00
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Pandas DataFrame Manipulation 00:13:00
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Dealing with Missing Values 00:10:00
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Functional vs OOP 00:06:00
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OOP Key Definitions 00:04:00
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Create your First Class 00:12:00
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How to Create and Use Objects 00:06:00
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How to Modify Attributes 00:12:00
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Python Decorators 00:27:00
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Property Decorator 00:09:00
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Class Method Decorator 00:07:00
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Static Methods 00:10:00
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Inheritance from A to Z 00:21:00
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Getting Started with Freelancing 00:09:00
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Building A Brand 00:12:00
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Personal Branding 00:13:00
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Importance of Having Website/Blog 00:04:00
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Do’s and Don’ts of Networking 00:06:00
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Creating A Python Developer Resume 00:06:00
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