The Complete Python Course 2024

Name: The Complete Python Course 2024
Price: 54.99 USD
Rating: 4.6 (183 reviews)

The most COMPREHENSIVE + UP TO DATE Python Course. Free 980 page book version of course included +Python in Excel +Mojo

(183 ratings)

1,955 students

Created by Chris Haroun | 1.5 Million Students | #1 Best Selling Business & Finance Prof., Luka Anicin

Last updated 3/2024

English

English [Auto]

What you'll learn

Learn Python from scratch. There are 4 tracks depending on how much experience the student has with programming.
Go from absolute beginner to expert in this comprehensive course.
Learn NEW Python coding features that were just introduced; this is the MOST UP TO DATE Python course on the market.
Also included is the next generation Python language (Mojo), how to use Python in Excel and much more.
A free 980 page book version of the course is included and is only available to students that take this course.
Learn Python Data Types and Variables
Learn Python Math (Meaning Operators) and "Strings"
Learn Python Built in Functions & Creating Basic Functions
Learn Python’s List Data Type and the Sum Function
Learn Python Logic and Loops
Learn Python Tuples, Dictionaries and Sets
Learn Python Methods and Advanced Strings
Learn Python Object Oriented Programming (OOP) & Classes
Learn Python NumPy (Numerical Python)
Learn Python Pandas and Polars
Learn Python Data Processing and ETL (Extract, Transform and Load)
Learn Python Writing Clean and Efficient Code Processes
Learn Python in Excel
Learn Mojo
Learn All Built-In Python Functions

Requirements

No programming experience is required to take this course.

Description

Welcome to the The Complete Python Course 2024, which is the most COMPREHENSIVE and UP TO DATE Python course with many exercises and resources.

The course also includes a 980 page book version of the course for free, which is only available to students who take this course.

This course teaches new features introduced in Python; the course also includes how to use the next generation version of Python called Mojo, how to use Python in Excel and much more. No experience in Python or with programming is required to take this course. There is a 30 day money back guarantee, so you have nothing to lose and everything to gain. Please watch the comprehensive promotional video trailer for an outline of the course.

Anyone can take this course as this comprehensive course has 4 tracks as follows:

[B] Beginner Track for students that have no experience with programming
[I] Intermediate Track for students that have some programming experience, but no Python experience
[G] Genius Track for students that have some Python experience, but want to learn more advanced and brand new Python concepts.
[A] All Track for students who want to take the whole course and go from knowing nothing about Python to becoming a master of Python!

After taking this course you be able to take your career or business to the next level by thoroughly understanding Python.

COURSE OUTLINE: [B = Beginner Track Lessons and Exercises, I = Intermediate Track Lessons and Exercises, G = Genius Track Lessons and Exercises, A = All Track Lessons and Exercises

[B/I/G/A] Level 1 of 17: Intro, How to Take the Course, Access Free Python Book & Our First Exercise

[B/I/G/A] Welcome, How to Take the Course and How to Download the Free Python Book
[B/I/A] Introduction to Python (What, Why and How of Level 1)
[B/I/A] How to Use Python Online Using Google Colab for Free
[B/I/A] Exercise 1.1: Our First Python Code: “Hello World”
[B/I/A] Answer 1.1: Our first Python Code: “Hello World”
[B/I/A] Optional Lecture: Who Uses Python & What are the Pros & Cons of Python?
[B/I/A] Quiz for Level 1

[B/I/A] Level 2: Data Types and Variables

[B/I/A] Intro to Data Types and Variables (What, Why and How of Level 2)
[B/I/A] How to Code Data Types & Variables in Python (String+Integer Variables)
[B/I/A] Exercise 2.1: Using String and Integer Data Types
[B/I/A] Answer 2.1: Using String and Integer Data Types
[B/I/A] Floating and Boolean Data Types
[B/I/A] Exercise 2.2: Using Floating and Boolean Data Types
[B/I/A] Answer 2.2: Using Floating and Boolean Data Types
[B/I/A] How to Change the Content or Data Type of a Variable ("Casting")
[B/I/A] Exercise 2.3: How to Change the Content or Type of a Variable
[B/I/A] Answer 2.3: How to Change the Content or Type of a Variable
[B/I/A] Level 2 Final Exercise: Currency Converter
[B/I/A] Level 2 Final Exercise Answer: Currency Converter
[B/I/A] Quiz for Level 2

[B/I/A] Level 3: Python Math (Meaning Operators) and "Strings"

[B/I/A] Intro to Python Math (Operators) & Strings (What, Why & How of Level 3)
[B/I/A] Arithmetic Rules in Python
[B/I/A] Exercise 3.1: Arithmetic Rules in Python
[B/I/A] Answer 3.1: Arithmetic Rules in Python
[B/I/A] Stringing Together Variables
[B/I/A] Exercise 3.2: Stringing Together Variables
[B/I/A] Answer 3.2: Stringing Together Variables
[B/I/A] Level 3 Final Exercise: Simple Interest Calculator for a Savings Account
[B/I/A] Level 3 Final Exercise Answer
[B/I/A] Quiz for Level 3

[B/I/G/A] Level 4: Built in Functions & Creating Basic Functions

[B/I/G/A] Intro to Built-In/Creating Functions (What, Why & How of Level 4)
[B/I/A] Basic Built in Python Functions that Use Math
[B/I/A] Exercise 4.1: Built in Functions that Use Math
[B/I/A] Answer 4.1: Built in Functions that Use Math
[B/I/A] Input Built in Python Function
[B/I/A] Exercise 4.2: Input Built in Python Function
[B/I/A] Answer 4.2: Input Built in Python Function & Stringing Together Objects
[B/I/A] Creating Basic Custom Functions Part 1
[B/I/A] Exercise 4.3: Creating Custom Functions Part 1
[B/I/A] Answer 4.3: Creating Custom Functions Part 1
[I/G/A] Creating Basic Custom Functions Part 2
[I/G/A] Exercise 4.4: Creating Basic Custom Functions Part 2
[I/G/A] Answer 4.4: Creating Basic Custom Functions Part 2
[I/G/A] Creating Advanced Functions (Keyword and Default Values)
[I/G/A] Exercise 4.5: Creating Advanced Functions Keyword and Default Values)
[I/G/A] Answer 4.5: Creating Advanced Functions (Keyword and Default Values)
[I/G/A] Returning Values from Custom Functions
[I/G/A] Exercise 4.6: Returning Values from Custom Functions
[I/G/A] Answer 4.6: Returning Values from Custom Functions
[B/I/G/A] Level 4 Final Exercise: Simple Calculator with Functions
[B/I/G/A] Level 4 Final Exercise Answer: Simple Calculator with Functions
[B/I/G/A] Quiz for Level 4

[B/I/G/A] Level 5: The List Data Type and the Sum Function

[B/I/G/A] Intro to List Data Type (What, Why and How of Level 5)
[B/I/G/A] How Does the List Data Type Work (and Using the SUM Function)?
[B/I/G/A] Exercise 5.1: The List Data Type Work (and Using the SUM Function)
[B/I/G/A] Answer 5.1: The List Data Type Work (and Using the SUM Function)
[B/I/G/A] Level 5 Final Exercise: Grocery Shopping List
[B/I/G/A] Level 5 Final Exercise Answer: Grocery Shopping List
[B/I/G/A] Quiz for Level 5

[B/I/G/A] Level 6: Logic and Loops

[B/I/G/A] Intro to Logic and Loops (What, Why and How of Level 6)
[B/I/A] The IF, ELSE Statement
[B/I/A] Exercise 6.1: The IF, ELSE Statement
[B/I/A] Answer 6.1: The IF, ELSE Statement
[B/I/A] Using A Nested IF Statement
[B/I/A] Exercise 6.2: Using A Nested IF Statement
[B/I/A] Answer 6.2: Using A Nested IF Statement
[B/I/A] Using ELIF in an IF Statement and the OR & AND Logic
[B/I/A] Exercise 6.3: Using ELIF in an IF Statement and the OR & AND Logic
[B/I/A] Answer 6.3: Using ELIF in an IF Statement and the OR & AND Logic
[B/I/G/A] Using the MATCH and CASE Logic
[B/I/G/A] Exercise 6.4: Using the MATCH and CASE Logic
[B/I/G/A] Answer 6.4: Using the MATCH and CASE Logic
[B/I/A] Formatting
[B/I/A] Exercise 6.5: Formatting
[B/I/A] Answer 6.5: Formatting
[B/I/A] Slicing
[B/I/A] Exercise 6.6: Slicing
[B/I/A] Answer 6.6: Slicing
[B/I/A] For Loop
[B/I/A] Exercise 6.7: For Loop
[B/I/A] Answer 6.7: For Loop
[B/I/A] While Loop
[B/I/A] Exercise 6.8: While Loop
[B/I/A] Answer 6.8: While Loop
[I/G/A] Level 6 Final Exercise: Time Tracker for Tasks
[I/G/A] Level 6 Final Exercise Answer: Time Tracker for Tasks
[B/I/G/A] Quiz for Level 6

[B/I/G/A] Level 7: 3 More Data Types: Tuple, Dictionary and Set

[B/I/G/A] Intro to More Data Types (What, Why and How of Level 7)
[B/I/G/A] Tuples Explained How is it Different from a List?
[B/I/G/A] Exercise 7.1: Tuples
[B/I/G/A] Answer 7.1: Tuples
[I/G/A] Introduction to Dictionaries
[I/G/A] Dictionary Methods/Functionality
[I/G/A] Exercise 7.2: Dictionaries
[I/G/A] Answer 7.2: Dictionaries
[I/G/A] Introduction to Sets
[I/G/A] Exercise 7.3: Sets
[I/G/A] Answer 7.3: Sets
[I/G/A] Level 7 Final Exercise: Restaurant Menu Manager
[I/G/A] Level 7 Final Exercise Answer: Restaurant Menu Manager
[B/I/G/A] Quiz for Level 7

[B/I/G/A] Level 8: Methods and Advanced Strings

[B/I/G/A] Intro to Methods and Advanced Strings (What, Why and How of Level 8)
[B/I/A] What is a Method and How do Get the Methods for An Object?
[B/I/A] Exercise 8.1: Methods
[B/I/A] Answer 8.1: Methods
[B/I/G/A] String Methods
[B/I/G/A] Exercise 8.2: String Methods
[B/I/G/A] Answer 8.2: String Methods
[I/G/A] Advanced String Operations
[I/G/A] Exercise 8.3: Advanced String Operations
[I/G/A] Answer 8.3: Advanced String Operations
[G/A] Lambda Functions & Map
[G/A] Recursion
[I/G/A] Level 8 Final Exercise: Customer Support Chat Log Analysis
[I/G/A] Level 8 Final Exercise Answer: Customer Support Chat Log Analysis
[B/I/G/A] Quiz for Level 8

[B/I/G/A] Level 9: Object Oriented Programming (OOP) & Classes

[B/I/G/A] Intro to OOP (What, Why and How of Level 9)
[B/I/G/A] Understanding Classes and Instances
[B/I/G/A] Exercise 9.1: Creating Your First Class and Instance
[B/I/G/A] Answer 9.1: Creating Your First Class and Instance
[B/I/G/A] Defining Methods in a Class
[I/G/A] Understanding Self in Python
[I/G/A] Class Attributes Versus Instance Attributes
[I/G/A] Exercise 9.2: Classes, Instances and Attributes
[I/G/A] Answer 9.2: Classes, Instances and Attributes
[I/G/A] Inheritance: Extending Functionality
[I/G/A] Encapsulation: Hiding Information
[I/G/A] Exercise 9.3: Implementing Encapsulation
[I/G/A] Answer 9.3: Implementing Encapsulation
[I/G/A] Understanding Magic Dunder Methods
[G/A] Understanding Composition and Aggregation
[G/A] Level 9 Final Exercise: Simple Bank Account Manager
[G/A] Level 9 Final Exercise Answer: Simple Bank Account Manager
[B/I/G/A] Quiz for Level 9

[I/G/A] Level 10 Mastering NumPy (Numerical Python)

[I/G/A] Intro to NumPy (What, Why and How of Level 10)
[I/G/A] Libraries Explained and Installing NumPy
[I/G/A] Arrays Data Type
[I/G/A] NumPy Array Creation Methods
[I/G/A] Operations with Arrays
[I/G/A] Slicing NumPy Arrays
[I/G/A] Exercise/Project 10.1: Slicing and Indexing with NumPy
[I/G/A] Answer 10.1: Slicing and Indexing with NumPy
[I/G/A] Loops Versus Vectorization
[I/G/A] Exercise/Project 10.2: Vectorization
[I/G/A] Answer 10.2: Vectorization
[I/G/A] Universal Functions
[I/G/A] Conditional Filtering
[I/G/A] Reshaping Arrays
[I/G/A] Handling Missing Values Using NumPy
[I/G/A] File Handling
[I/G/A] Quiz for Level 10

[I/G/A] Level 11: Pandas and Polars

[I/G/A] Intro to Pandas & Polars (What, Why and How of Level 11)
[I/G/A] Installing Pandas and Polars
[I/G/A] Loading Data Using Pandas and Polars
[I/G/A] Reading Data in Different Ways
[I/G/A] Exercise 11.1: First Pandas/Polars Exercise
[I/G/A] Answer 11.1: First Pandas/Polars Exercise
[I/G/A] Understanding Series
[I/G/A] Dataframe Operations
[I/G/A] Dealing with Missing Data
[I/G/A] Map and Transform
[I/G/A] Merging and Joining
[I/G/A] Exercise 11.2: Second Pandas/Polars Exercise
[I/G/A] Answer 11.2: Second Pandas/Polars Exercise
[I/G/A] Strings
[I/G/A] Sales Data Visualization
[I/G/A] Exercise 11.3: Third Pandas/Polars Exercise
[I/G/A] Answer 11.3: Third Pandas/Polars Exercise
[I/G/A] Quiz for Level 11

[I/G/A] Level 12: Data Processing and ETL (Extract, Transform and Load)

[I/G/A] Intro to Data Processing and ETL (What, Why and How of Level 12)
[I/G/A] Data Cleaning Part 1
[I/G/A] Data Cleaning Part 2
[I/G/A] Label Encoder and Data Transformation Part 1
[I/G/A] Label Encoder and Data Transformation Part 2
[I/G/A] Label Encoder and Data Transformation Part 3
[I/G/A] Handling Imbalanced Data
[I/G/A] Data Partitioning
[I/G/A] Quiz for Level 12

[B/I/G/A] Level 13: Writing Clean and Efficient Code

[B/I/G/A] Intro to Writing Clean/Efficient Code (What, Why and How of Level 13)
[B/I/G/A] Clean and Modular Code
[B/I/G/A] Python Naming Conventions
[B/I/G/A] Documentation
[B/I/G/A] Testing Your Code
[I/G/A] Working with Teams on GitHub
[I/G/A] Questionnaire on How to Conduct a Code Review
[I/G/A] Quiz for Level 13

[I/G/A] Level 14: Using Python in Excel

[I/G/A] Introduction to Using Python in Excel (What, Why and How of Level 14)
[I/G/A] How to Install Python In Excel
[I/G/A] How to Use Python In Excel
[I/G/A] Exercise 14.1: Using Python in Excel
[I/G/A] Answer 14.1: Using Python in Excel
[I/G/A] Using Dataframes with Python in Excel
[I/G/A] Exercise 14.2: Using Python Dataframes in Excel
[I/G/A] Answer 14.2: Using Python Dataframes in Excel
[I/G/A] How to Create a Linear Regression Using Python In Excel
[I/G/A] Exercise 14.3: Using Python and Excel to Create a Regression Analysis
[I/G/A] Answer 14.3: Using Python and Excel to Create a Regression Analysis
[I/G/A] Quiz for Level 14

[G/A] Level 15: Mojo

[G/A] Intro to Mojo (What, Why and How of Level 15)
[G/A] What is Mojo and Why is it a Gamer Changer for Python Developers?
[G/A] Complied Versus Interpreted Programming When it Comes to Mojo
[G/A] Coding with Mojo
[G/A] Variables in Mojo (Mutability and Immutability)
[G/A] Data Types in Mojo
[G/A] Else If in Mojo
[G/A] Loops in Mojo
[G/A] Functions in Mojo
[G/A] Struct Versus Class In Mojo
[G/A] Error Handling in Mojo
[G/A] "Inout, Borrowed and Owned" in Mojo
[G/A] Importing NumPy in Mojo
[G/A] Quiz for Level 15

[B/I/G/A] Level 16: All Built-In Python Functions

[B/I/G/A] Intro to All Built-In Python Functions (What, Why and How of Level 16)
[B/A] Absolute Value Built-In Function: abs( )
[B/I/A] All Built-In Function: all( )
[B/I/A] Any Built-In Function: any( )
[G/A] ASCII Built-In Function: ascii( )
[G/A] Bin Built-In Function: bin( )
[B/I/G/A] Bool Built-In Function: bool( )
[I/G/A] Breakpoint Built-In Function: breakpoint( )
[G/A] Bytearray Built-In Function: bytearray( )
[G/A] Bytes Built-In Function: bytes( )
[I/G/A] Callable Built-In Function: callable( )
[I/G/A] Chr Built-In Function: chr( )
[I/G/A] Classmethod Built-In Function: classmethod( )
[G/A] Compile Built-In Function: compile( )
[G/A] Complex Built-In Function: complex( )
[I/G/A] Dict Built-In Function: dict( )
[I/G/A] Dir Built-In Function: dir( )
[B/I/G/A] Divmod Built-In Function: divmod( )
[G/A] Enumerate Built-In Function: enumerate( )
[I/G/A] Eval Built-In Function: eval( )
[I/G/A] Exec Built-In Function: exec( )
[B/I/G/A] Filter Built-In Function: filter( )
[B/I/G/A] Float Built-In Function: float( )
[B/I/G/A] Format Built-In Function: format( )
[I/G/A] Frozenset Built-In Function: frozenset( )
[I/G/A] Hash Built-In Function: hash( )
[B/I/G/A] Help Built-In Function: help( )
[I/G/A] Hex Built-In Function: hex( )
[I/G/A] ID Built-In Function: id( )
[B/I/G/A] Input Built-In Function: input( )
[B/I/G/A] Int Built-In Function: int( )
[G/A] Isinstance Built-In Function: isinstance( )
[I/G/A] Issubclass Built-In Function: issubclass( )
[I/G/A] Iter Built-In Function: iter( )
[B/I/G/A] Len Built-In Function: len( )
[B/I/G/A] List Built-In Function: list( )
[G/A] Map Built-In Function: map( )
[B/I/G/A] Max Built-In Function: Max( )
[B/I/G/A] Min Built-In Function: Min( )
[I/G/A] Next Built-In Function: next( )
[G/A] Oct Built-In Function: oct( )
[I/G/A] Open Built-In Function: open( )
[I/G/A] Ord Built-In Function: ord( )
[B/I/G/A] Pow Built-In Function: pow( )
[B/I/G/A] Print Built-In Function: print( )
[B/I/G/A] Range Built-In Function: range( )
[I/G/A] Repr Built-In Function: repr( )
[B/I/G/A] Reversed Built-In Function: reversed( )
[B/I/G/A] Round Built-In Function: round( )
[I/G/A] Set Built-In Function: set( )
[I/G/A] Slice Built-In Function: slice( )
[B/I/G/A] Sorted Built-In Function: sorted( )
[B/I/G/A] Str Built-In Function: str( )
[B/I/G/A] Sum Built-In Function: sum( )
[B/I/G/A] Tuple Built-In Function: tuple( )
[B/I/G/A] Type Built-In Function: type( )
[I/G/A] Zip Built-In Function: zip( )

[B/I/G/A] Level 17: Conclusion, Next Steps and Additional Python Topics

[B/I/G/A] CONGRATULATIONS & Next Steps!

By the end of this comprehensive course, you will be armed and ready to take your career or business to the next level using Python. No experience in Python or with programming is required to take this course. There is a 30 day money back guarantee, so you have nothing to lose and everything to gain.

Thanks,
Chris Haroun and Luka Anicin

Who this course is for:

This course is for anyone interested in learning beginner, intermediate or advanced Python skills (no programming experience is required).

Chris Haroun | 1.5 Million Students | #1 Best Selling Business & Finance Prof.

Finance, Business, AI, Excel and Public Speaking Courses

4.6 Instructor Rating
254,093 Reviews
1,533,266 Students
79 Courses

Award Winning Professor Featured in Forbes, NBC, Business Insider, CNN & Entrepreneur

Please join me for my weekly Office Hours Q&A on my YouTube channel every Thursday from 8am until 10am Pacific time. Here is my bio thanks:

Chris Haroun is the founder & CEO of the 300+ hour online Haroun MBA Degree Program®, an award winning business school professor, MBA graduate from Columbia University & former Goldman Sachs employee. He has raised/managed over $1bn in his career.

He also has work experience at hedge fund giant Citadel, consulting firm Accenture & several firms that he has started, including an investment firm that had a venture capital investment in Facebook several years before the Facebook IPO.

Chris has sold more than 2,000,000 of his online business & self improvement courses in 12 languages in 196 countries and his courses have been profiled in Business Insider, NBC, Inc, Forbes, CNN, Entrepreneur & on other business news websites. Chris is the author of the #1 best selling online business course called "An Entire MBA in 1 Course®” & many other courses.

He’s the author of the book "101 Crucial Lessons They Don't Teach You in Business School®," which Business Insider wrote is "the most popular book of 2016." Forbes called this book "1 of 6 books that all entrepreneurs must read right now."

He is a frequent guest lecturer at several Bay Area MBA schools including Berkeley & Stanford. He also has an undergraduate degree with a major in Management Information Systems & International Business from McGill University where he is a McGill University Dobson Fellow (awarded for his work mentoring students with start up business models).

He has founded several companies & served on the boards of several Bay Area companies & charities, including The LEMO Foundation & Providing Opportunities for Women. His #1 charitable focus is currently building schools in Rwanda and other countries, as well as continuing to provide many scholarships to students all over the world.

According to Business Insider "Haroun is one of the highest rated professors on Udemy, so you can expect to be in good hands through the course of your education."

He is passionate about education as he believes that all problems can be solved via education. Chris lives in Hillsborough, California with his wife Christine and his 3 sons Andrew, Matthew and Dylan.

Chris lives by this quote: “Don’t expect to accomplish your dreams in life unless you help others accomplish theirs first.”

Luka Anicin

AI Engineer and Entrepreneur

4.5 Instructor Rating
49,744 Reviews
407,293 Students
16 Courses

Meet Luka Anicin, an internationally recognized expert in AI and Machine Learning. He kickstarted his career as a Computer Vision Researcher and quickly became a leading Machine Learning Engineer at BlueLife AI. His entrepreneurial spirit led him to launch Scooby AI in 2020, and later sell it. Luka had an amazing opportunity to work in Photomath creating OCR algorithm for scanning mathematical tasks, that currently benefits over 280 million students worldwide.

Luka founded Datablooz, a global technical project consultancy, helping businesses harness the power of AI. As a passionate educator, he's guided over 500,000 students across 197 countries in understanding complex technical topics. Recognized by Google among the top 150 machine learning experts, Luka is a powerhouse of AI, focused on leveraging technology to transform businesses.

Let him be a part of your journey into the realm of AI and Machine Learning.