Python Complete Course - Beginner To Advanced (Updated 2025)

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• Module 01: Getting Started with Python 1:01:30

  • 1: 001 Why Learn Coding 04:32
  • 2: 002 Why Learn Python 03:47
  • 3: 003 Gearing up Linux Machine For Python Programming 14:41
  • 4: 004 Gearing Up Windows For Python 13:23
  • 5: 005 Integrate Python and Git Bash with vscode 03:02
  • 6: 006 Gearing Up the MacOS for Python Programming 05:31
  • 7: 007 Installing Jupyter Notebook in Windows 06:00
  • 8: 008 Hello World in Jupyter notebook 10:34

• Module 02: Data Types and Operators 1:54:15

  • 9: 001 Arithmetic Operators 13:41
  • 10: 002 order of evaluation 08:55
  • 11: 003 Variable and Assignment Operators 12:11
  • 12: 004 Correct Variable Names 08:15
  • 13: 005 Integer, Float and Complex Numbers in Python 10:33
  • 14: 006 Boolean, Comparison Operator and Logical Operator 20:23
  • 15: 007 Strings in python 06:41
  • 16: 008 type and type casting 10:20
  • 17: 009 String Methods in Python 09:00
  • 18: 010 Taking Input from User 04:53
  • 19: 011 Exercise 09:23

• Module 03: Data Structures 1:58:47

  • 20: 1. Lists in python 15:42
  • 21: 2. Necessitites in List 13:52
  • 22: 3. List Methods 19:22
  • 23: 4. Tuples in Python 13:50
  • 24: 5. Sets in Python 14:08
  • 25: 6. Dictionary, Mutable, Accessing Items 08:07
  • 26: 7 Dublicates, Constructor and data Types in Dictionary 05:56
  • 27: 8 Access and add items in Dictionaries 05:45
  • 28: 9 Nested Dictionaries and Dictionary Methods 10:16
  • 29: 10 Exercise 11:49

• Module 04: Control Flow 1:14:16

  • 30: 01 conditional statements 10:21
  • 31: 02 short hand if else 10:51
  • 32: 03 Nested if 04:39
  • 33: 04 for loops 13:20
  • 34: 05 While Loops in Python 07:14
  • 35: 06 while vs for loop 06:55
  • 36: 07 Break Continue Statment 06:30
  • 37: 08 Try and Except 06:57
  • 38: 09 Exercise 07:29

• Module 05: Functions 48:58

  • 39: Lec 01 Intro to Functions 04:42
  • 40: Lec 02 Arguments, parameters and multiple arguments 09:20
  • 41: Lec 03 Arbitrary arguments, keyword arguments, arbitrary keyword arguments 09:42
  • 42: Lec 04 Default parameter value and Passing a list as parameters 09:19
  • 43: Lec 05 Return values and Pass statements 06:28
  • 44: Lec 06 Exercise 09:27

• Module 06: Python Arrays, Iterators and Generators 49:20

  • 45: Lec 01 Array, Length of Array, Accessing Elements of Array 09:47
  • 46: Lec 02 Adding, Removing Elements in Array, Array Methods 12:17
  • 47: Lec 03 Iterator in Python 13:44
  • 48: Lec 04 Generators in Python 06:34
  • 49: Lec 05 Exercise 06:58

• Module 07: File Manipulation 27:46

  • 50: 001 File Hancdling and Syntax 05:12
  • 51: 002 Reading the File, Line Extraction and Parsing 11:01
  • 52: 003 Appending and Writing the Files in Python 06:28
  • 53: 004 Create and Delete a File 05:05

• Module 08: Python Basic Recap 1:06:00

  • 54: M1 L1 11:07
  • 55: M1 L2 11:14
  • 56: M1 L3 08:14
  • 57: M1 L4 05:09
  • 58: M1 L5 05:09
  • 59: M1 L6 06:29
  • 60: M1 L7 08:27
  • 61: M1 L8 04:31
  • 62: M1 L9 05:40

• Module 09: Deep Dive into Loops 1:04:41

  • 63: M2 L1 11:06
  • 64: M2 L2 13:19
  • 65: M2 L3 08:36
  • 66: M2 L4 07:00
  • 67: M2 L5 16:14
  • 68: M2 L6 08:26

• Module 10: Deep Dive into Functions 1:06:50

  • 69: M3 L1 09:46
  • 70: M3 L2 08:55
  • 71: M3 L3 07:43
  • 72: M3 L4 05:29
  • 73: M3 L5 08:04
  • 74: M3 L6 04:48
  • 75: M3 L7 04:52
  • 76: M3 L8 06:59
  • 77: M3 L9 10:14

• Module 11: OOP Concepts 1:07:48

  • 78: M4 L1 12:24
  • 79: M4 L2 06:18
  • 80: M4 L3 08:13
  • 81: M4 L4 08:27
  • 82: M4 L5 07:32
  • 83: M4 L6 07:44
  • 84: M4 L7 17:10

• Module 12: Built-in Modules 1:12:13

  • 85: M5 L1 08:04
  • 86: M5 L2 09:32
  • 87: M5 L3 09:40
  • 88: M5 L4 06:03
  • 89: M5 L5 05:39
  • 90: M5 L6 08:53
  • 91: M5 L7 05:57
  • 92: M5 L8 18:25

• Module 13: File and Exception Handling 48:51

  • 93: M6 L1 11:07
  • 94: M6 L2 06:50
  • 95: M6 L3 06:29
  • 96: M6 L4 06:02
  • 97: M6 L5 04:26
  • 98: M6 L6 04:22
  • 99: M6 L7 04:24
  • 100: M6 L8 05:11

• Module 14: Using Python Packages (Numpy) 52:17

  • 101: M7 L1 10:11
  • 102: M7 L2 06:02
  • 103: M7 L3 13:35
  • 104: M7 L4 06:35
  • 105: M7 L5 08:27
  • 106: M7 L6 07:27

• Project - Tic-Tac-Toe 59:30

  • 107: Project 59:30

• Leave a Review 01:00

  • 108: Leave a Review 01:00

The Python - Beginner to Advanced course is designed to take learners from the fundamentals of Python programming to advanced concepts, equipping them with the skills needed to write efficient and structured code. Starting with the basics, learners will explore data types, operators, control flow, functions, and file manipulation, laying a strong foundation in Python.

As they progress, they will delve into advanced topics such as object-oriented programming (OOP), built-in modules, exception handling, and working with powerful libraries like NumPy. The course also emphasises practical application, reinforcing concepts through hands-on exercises, including a Tic Tac Toe project to enhance problem-solving skills.

By the end of the course, learners will be able to write clean, optimised Python code, manipulate data structures, handle files, and apply best practices for software development. Whether aspiring developers, data enthusiasts, or professionals looking to enhance their coding abilities, this course provides a comprehensive roadmap to mastering Python. With a balance of theory and real-world application, learners will gain the confidence to tackle coding challenges and develop robust Python-based solutions.

Curriculum Breakdown

Python Practical Training from Beginner to Advanced

Python for Beginners

• Module 01: Getting Started with Python
• Module 02: Data Types and Operators
• Module 03: Data Structures
• Module 04: Control Flow
• Module 05: Functions
• Module 06: Python Arrays, Iterators and Generators
• Module 07: File Manipulation

Python for Advanced

• Module 01: Python Basic Recap
• Module 02: Deep Dive into Loops
• Module 03: Deep Dive into Functions
• Module 04: OOP Concepts
• Module 05: Built-in Modules
• Module 06: File and Exception Handling
• Module 07: Using Python Packages (Numpy)

Project - Tic Tac Toe (Accomplishment)

-------- Python Certification --------

How can you earn your Certification?

After successfully completing the Python course, you will get your Reed Certificate instantly! And to order your CPD QS Certificate, you will need to fill in the form given in the Curriculum Section. And in 24 hours, you will get your CPD QS Certificate.

This course is designed for:

• Learners interested in developing Python programming skills for automating tasks, data processing, and building software applications efficiently.
• Those wanting to improve logical thinking and problem-solving abilities by writing structured code and implementing computational techniques.
• Enthusiasts eager to explore object-oriented programming to create structured, reusable, and maintainable Python applications for various purposes.
• People aiming to gain hands-on experience with file handling, data manipulation, and exception handling to build reliable software.
• Anyone looking to apply Python in fields such as automation, data analysis, or software development by leveraging built-in modules and packages.

The course is open to all students and has no formal entry requirements.

This course opens doors to many job and career opportunities. Here are a few career you can opt:

• Python Developer (£40,000 - £80,000)
• Data Analyst (£35,000 - £65,000)
• Software Engineer (£45,000 - £85,000)
• Automation Engineer (£40,000 - £75,000)
• Web Developer (£30,000 - £60,000)
• Machine Learning Engineer (£50,000 - £90,000)
• Data Scientist (£50,000 - £95,000)
• Backend Developer (£45,000 - £80,000)