The Complete Python Developer Course

Advanced Level

Practical tools Certificate

The Complete Python Developer Course

By Skilific .

Master Python from scratch to pro in this all-in-one course—covering coding, data, automation, and more. Build real-world skills, write clean code, and unlock your career potential with hands-on projects.

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254 Lessons

14.5 Hours Video Content

16 Progressive Levels

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The Complete Python Development Course

Unlock the full potential of Python with this ultimate, all-in-one programming course designed to take you from a complete beginner to an advanced, job-ready developer. Whether you're aiming to break into tech, build automation tools, crunch data like a pro, or just level up your coding game, this course is your step-by-step guide to mastering Python.

Spanning 16 structured levels, this course blends theory with real-world practicality. You’ll begin with the core building blocks of Python—variables, functions, loops, conditionals, and logic development—before diving deep into object-oriented programming, file handling, modular code, and exception management.

As you progress, you’ll enter the world of data science and automation, mastering powerful libraries like NumPy and Pandas, and learning how to perform ETL (Extract, Transform, Load) operations with clean and efficient code. You'll also explore automation in Excel using Python—a highly demanded skill for data professionals.

We go beyond just syntax and functionality. This course emphasizes clean code practices, efficient design, and modern development workflows. You'll even explore Mojo, a next-gen programming language that extends Python's capabilities with speed and performance, giving you an edge in the evolving tech landscape.

💡 What Makes This Course Stand Out:

📚 Structured Learning: 16 progressive levels that ensure depth and clarity at every stage

🛠️ Hands-On Projects & Exercises: Reinforce concepts through real coding challenges

⚙️ Advanced Topics: Mojo language, Python automation in Excel, ETL pipelines, clean code principles

💼 Career-Ready Skills: Build a portfolio and gain practical experience aligned with industry needs

🔍 Comprehensive Built-In Function Coverage: Master Python's most powerful tools right from the core library

👨‍💻 Who This Course Is For:

Absolute beginners with no coding experience
Intermediate developers looking to fill gaps and go pro
Data analysts and professionals transitioning into Python
Engineers, entrepreneurs, and automation enthusiasts
Anyone looking to build a solid, scalable, and future-ready coding foundation

By the End of This Course, You Will:

Write efficient, readable, and maintainable Python code
Build real-world projects and automation tools
Understand and apply object-oriented programming and data manipulation techniques
Be fluent in professional tools like NumPy, Pandas, and Python for Excel
Gain a competitive edge with knowledge of Mojo and advanced Python features

Whether your goal is to become a developer, data scientist, automation expert, or simply a better problem-solver, this course gives you everything you need to succeed in Python—and beyond.

Lessons

1. 1. Introduction to Python (What, Why and How of Level 1)
2. 2. How to Use Python Online Using Google Colab for Free
3. 3. Exercise 1.1 Our First Python Code “Hello World”
4. 4. Answer 1.1 Our first Python Code “Hello World”
5. 5. Optional Lecture Who Uses Python _ What are the Pros _ Cons of Python
1. 1. Intro to Data Types and Variables (What, Why and How of Level 2)
2. 2. How to Code Data Types _ Variables in Python (String_Integer Variables)
3. 3. Exercise 2.1 Using String and Integer Data Types
4. 4. Answer 2.1 Using String and Integer Data Types
5. 5. Floating and Boolean Data Types
6. 6. Exercise 2.2 Using Floating and Boolean Data Types
7. 7. Answer 2.2 Using Floating and Boolean Data Types
8. 8. How to Change the Content or Data Type of a Variable (Casting)
9. 9. Exercise 2.3 How to Change the Content or Type of a Variable
10. 10. Answer 2.3 How to Change the Content or Type of a Variable
11. 11. Level 2 Final Exercise Currency Converter
12. 12. Level 2 Final Exercise Answer Currency Converter
1. 1. Intro to Python Math (Operators) _ Strings (What, Why _ How of Level 3)
2. 2. Arithmetic Rules in Python
3. 3. Exercise 3.1 Arithmetic Rules in Python
4. 4. Answer 3.1 Arithmetic Rules in Python
5. 5. Stringing Together Variables
6. 6. Exercise 3.2 Stringing Together Variables
7. 7. Answer 3.2 Stringing Together Variables
8. 8. Level 3 Final Exercise Simple Interest Calculator for a Savings Account
9. 9. Level 3 Final Exercise Answer
1. 1. Intro to Built-InCreating Functions (What, Why _ How of Level 4)
2. 2. Basic Built in Python Functions that Use Math
3. 3. Exercise 4.1 Built in Functions that Use Math
4. 4. Answer 4.1 Built in Functions that Use Math
5. 5. Input Built in Python Function
6. 6. Exercise 4.2 Input Built in Python Function
7. 7. Answer 4.2 Input Built in Python Function _ Stringing Together Objects
8. 8. Creating Basic Custom Functions Part 1
9. 9. Exercise 4.3 Creating Custom Functions Part 1
10. 10. Answer 4.3 Creating Custom Functions Part 1
11. 11. Creating Basic Custom Functions Part 2
12. 12. Exercise 4.4 Creating Basic Custom Functions Part 2
13. 13. Answer 4.4 Creating Basic Custom Functions Part 2
14. 14. Creating Advanced Functions (Keyword and Default Values)
15. 15. Exercise 4.5 Creating Advanced Functions Keyword and Default Values)
16. 16. Answer 4.5 Creating Advanced Functions (Keyword and Default Values)
17. 17. Returning Values from Custom Functions
18. 18. Exercise 4.6 Returning Values from Custom Functions
19. 19. Answer 4.6 Returning Values from Custom Functions
20. 20. Level 4 Final Exercise Simple Calculator with Functions
21. 21. Level 4 Final Exercise Answer Simple Calculator with Functions
1. 1. Intro to List Data Type (What, Why and How of Level 5)
2. 2. How Does the List Data Type Work (and Using the SUM Function)
3. 3. Exercise 5.1 The List Data Type Work (and Using the SUM Function)
4. 4. Answer 5.1 The List Data Type Work (and Using the SUM Function)
5. 5. Level 5 Final Exercise Grocery Shopping List
6. 6. Level 5 Final Exercise Answer Grocery Shopping List
1. 1. Intro to Logic and Loops (What, Why and How of Level 6)
2. 2. The IF, ELSE Statement
3. 3. Exercise 6.1 The IF, ELSE Statement
4. 4. Answer 6.1 The IF, ELSE Statement
5. 5. Using A Nested IF Statement
6. 6. Exercise 6.2 Using A Nested IF Statement
7. 7. Answer 6.2 Using A Nested IF Statement
8. 8. Using ELIF in an IF Statement and the OR _ AND Logic
9. 9. Exercise 6.3 Using ELIF in an IF Statement and the OR _ AND Logic
10. 10. Answer 6.3 Using ELIF in an IF Statement and the OR _ AND Logic
11. 11. Using the MATCH and CASE Logic
12. 12. Exercise 6.4 Using the MATCH and CASE Logic
13. 13. Answer 6.4 Using the MATCH and CASE Logic
14. 14. Formatting
15. 15. Exercise 6.5 Formatting
16. 16. Answer 6.5 Formatting
17. 17. Slicing
18. 18. Exercise 6.6 Slicing
19. 19. Answer 6.6 Slicing
20. 20. For Loop
21. 21. Exercise 6.7 For Loop
22. 22. Answer 6.7 For Loop
23. 23. While Loop
24. 24. Exercise 6.8 While Loop
25. 25. Answer 6.8 While Loop
26. 26. Level 6 Final Exercise Time Tracker for Tasks
27. 27. Level 6 Final Exercise Answer Time Tracker for Tasks
1. 1. Intro to More Data Types (What, Why and How of Level 7)
2. 2. Tuples Explained How is it Different from a List
3. 3. Exercise 7.1 Tuples
4. 4. Answer 7.1 Tuples
5. 5. Introduction to Dictionaries
6. 6. Dictionary MethodsFunctionality
7. 7. Exercise 7.2 Dictionaries
8. 8. Answer 7.2 Dictionaries
9. 9. Introduction to Sets
10. 10. Exercise 7.3 Sets
11. 11. Answer 7.3 Sets
12. 12. Level 7 Final Exercise Restaurant Menu Manager
13. 13. Level 7 Final Exercise Answer Restaurant Menu Manager
1. 1. Intro to Methods and Advanced Strings (What, Why and How of Level 8)
2. 2. What is a Method and How do Get the Methods for An Object
3. 3. Exercise 8.1 Methods
4. 4. Answer 8.1 Methods
5. 5. String Methods
6. 6. Exercise 8.2 String Methods
7. 7. Answer 8.2 String Methods
8. 8. Advanced String Operations
9. 9. Exercise 8.3 Advanced String Operations
10. 10. Answer 8.3 Advanced String Operations
11. 11. Lambda Functions _ Map
12. 12. Recursion
13. 13. Level 8 Final Exercise Customer Support Chat Log Analysis
14. 14. Level 8 Final Exercise Answer Customer Support Chat Log Analysis
1. 1. Intro to OOP (What, Why and How of Level 9)
2. 2. Understanding Classes and Instances
3. 3. Exercise 9.1 Creating Your First Class and Instance
4. 4. Answer 9.1 Creating Your First Class and Instance
5. 5. Defining Methods in a Class
6. 6. Understanding Self in Python
7. 7. Class Attributes Versus Instance Attributes
8. 8. Exercise 9.2 Classes, Instances and Attributes
9. 9. Answer 9.2 Classes, Instances and Attributes
10. 10. Inheritance Extending Functionality
11. 11. Encapsulation Hiding Information
12. 12. Exercise 9.3 Implementing Encapsulation
13. 13. Answer 9.3 Implementing Encapsulation
14. 14. Understanding Magic Dunder Methods
15. 15. Understanding Composition and Aggregation
16. 16. Level 9 Final Exercise Simple Bank Account Manager
17. 17. Level 9 Final Exercise Answer Simple Bank Account Manager
1. 1. Intro to NumPy (What, Why and How of Level 10)
2. 2. -IGA- Libraries Explained and Installing NumPy
3. 3. Arrays Data Type
4. 4. NumPy Array Creation Methods
5. 5. Operations with Arrays
6. 6. Slicing NumPy Arrays
7. 7. ExerciseProject 10.1 Slicing and Indexing with NumPy
8. 8. Answer 10.1 Slicing and Indexing with NumPy
9. 9. Loops Versus Vectorization
10. 10. ExerciseProject 10.2 Vectorization
11. 11. Answer 10.2 Vectorization
12. 12. Universal Functions
13. 13. Conditional Filtering
14. 14. Reshaping Arrays
15. 15. Handling Missing Values Using NumPy
16. 16. File Handling
1. 1. Intro to Pandas _ Polars (What, Why and How of Level 11)
2. 2. Installing Pandas and Polars
3. 3. -IGA- Loading Data Using Pandas and Polars
4. 4. -IGA- Reading Data in Different Ways
5. 5. Exercise 11.1 First PandasPolars Exercise
6. 6. Answer 11.1 First PandasPolars Exercise
7. 7. Understanding Series
8. 8. Dataframe Operations
9. 9. Dealing with Missing Data
10. 10. Map and Transform
11. 11. Merging and Joining
12. 12. Exercise 11.2 Second PandasPolars Exercise
13. 13. Answer 11.2 Second PandasPolars Exercise
14. 14. Strings
15. 15. Sales Data Visualization
16. 16. Exercise 11.3 Third PandasPolars Exercise
17. 17. Answer 11.3 Third PandasPolars Exercise
1. 1. Intro to Data Processing and ETL (What, Why and How of Level 12)
2. 2. Data Cleaning Part 1
3. 3. Data Cleaning Part 2
4. 4. Label Encoder and Data Transformation Part 1
5. 5. Label Encoder and Data Transformation Part 2
6. 6. Label Encoder and Data Transformation Part 3
7. 7. Handling Imbalanced Data
8. 8. Data Partitioning
1. 1. Intro to Writing CleanEfficient Code (What, Why and How of Level 13)
2. 2. Clean and Modular Code
3. 3. Python Naming Conventions
4. 4. Documentation
5. 5. Testing Your Code
6. 6. Working with Teams on GitHub
1. 1. Introduction to Using Python in Excel (What, Why and How of Level 14)
2. 2. How to Install Python In Excel
3. 3. How to Use Python In Excel
4. 4. Exercise 14.1 Using Python in Excel
5. 5. Answer 14.1 Using Python in Excel
6. 6. Using Dataframes with Python in Excel
7. 7. Exercise 14.2 Using Python Dataframes in Excel
8. 8. Answer 14.2 Using Python Dataframes in Excel
9. 9. How to Create a Linear Regression Using Python In Excel
10. 10. Exercise 14.3 Using Python and Excel to Create a Regression Analysis
11. 11. Answer 14.3 Using Python and Excel to Create a Regression Analysis
1. 1. Intro to Mojo (What, Why and How of Level 15)
2. 2. What is Mojo and Why is it a Gamer Changer for Python Developers
3. 3. Complied Versus Interpreted Programming When it Comes to Mojo
4. 4. Coding with Mojo
5. 5. Variables in Mojo (Mutability and Immutability)
6. 6. Data Types in Mojo
7. 7. Else If in Mojo
8. 8. Loops in Mojo
9. 9. Functions in Mojo
10. 10. Struct Versus Class In Mojo
11. 11. Error Handling in Mojo
12. 12. Inout, Borrowed and Owned in Mojo
13. 13. Importing NumPy in Mojo
1. 1. Intro to All Built-In Python Functions (What, Why and How of Level 16)
2. 2. Absolute Value Built-In Function abs( )
3. 3. All Built-In Function all( )
4. 4. -Any Built-In Function any( )
5. 5. ASCII Built-In Function ascii ( )
6. 6. Bin Built-In Function bin( )
7. 7. Bool Built-In Function bool( )
8. 8. Breakpoint Built-In Function breakpoint( )
9. 9. Bytearray Built-In Function bytearray( )
10. 10. Bytes Built-In Function bytes( )
11. 11. Callable Built-In Function callable( )
12. 12. Chr Built-In Function chr ( )
13. 13. Classmethod Built-In Function classmethod( )
14. 14. Compile Built-In Function compile( )
15. 15. Complex Built-In Function complex( )
16. 16. Dict Built-In Function dict( )
17. 17. Dir Built-In Function dir( )
18. 18. Divmod Built-In Function divmod( )
19. 19. Enumerate Built-In Function enumerate( )
20. 20. Eval Built-In Function eval( )
21. 21. Exec Built-In Function exec( )
22. 22. Filter Built-In Function filter( )
23. 23. Float Built-In Function float( )
24. 24. -Format Built-In Function format( )
25. 25. Frozenset Built-In Function frozenset( )
26. 26. Hash Built-In Function hash( )
27. 27. Help Built-In Function help( )
28. 28. Hex Built-In Function hex( )
29. 29. ID Built-In Function id( )
30. 30. Input Built-In Function input( )
31. 31. Int Built-In Function int( )
32. 32. Isinstance Built-In Function isinstance( )
33. 33. Issubclass Built-In Function issubclass( )
34. 34. Iter Built-In Function iter( )
35. 35. Len Built-In Function len( )
36. 36. List Built-In Function list( )
37. 37. Map Built-In Function map( )
38. 38. Max Built-In Function Max( )
39. 39. Min Built-In Function Min( )
40. 40. Next Built-In Function next( )
41. 41. Oct Built-In Function oct( )
42. 42. Open Built-In Function open( )
43. 43. Ord Built-In Function ord( )
44. 44. Pow Built-In Function pow( )
45. 45. Print Built-In Function print( )
46. 46. Range Built-In Function range( )
47. 47. Repr Built-In Function repr( )
48. 48. Reversed Built-In Function reversed( )
49. 49. Round Built-In Function round( )
50. 50. Set Built-In Function set( )
51. 51. Slice Built-In Function slice( )
52. 52. Sorted Built-In Function sorted( )
53. 53. Str Built-In Function str( )
54. 54. Sum Built-In Function sum( )
55. 55. Tuple Built-In Function tuple( )
56. 56. Type Built-In Function type( )
57. 57. Zip Built-In Function zip( )
1. 1. CONGRATULATIONS _ Next Steps!

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