Master the Fundamentals of Python is an extremely comprehensive course targeted for beginners who want to build their skills slowly and thoroughly without knowledge gaps. This course is packed full of material to ensure your understanding, regardless of your learning style, and includes the following:
Interactive Video Lessons
More than 25 hours of hands-on, interactive video lessons are provided. We will be programming together in the excellent Jupyter Notebook as we complete each module. Eventually, we will graduate to using Visual Studio Code, a more professional coding environment.
A Digital Book
You’ll get a 300+ page downloadable PDF of the book Master the Fundamentals of Python. This allows you to access all of the course contents in a single document, even when offline.
Exercises and Solutions
More than 200 exercises with detailed solutions are available for you to practice what you’ve learned.
There are several projects available where you’ll build larger programs that combine together multiple different topics. Some of the projects include Choose Your Own Adventure, Tic-Tac-Toe, and Texas Hold’em Poker with artificial intelligence.
After covering all of the material in the course, you will be given a challenging certification exam to prove your mastery of the material. Passing this exam awards you a certificate of completion.
About the Instructor
This course is taught by expert instructor Teddy Petrou who is author of multiple books, including:
- Pandas Cookbook
- Master Data Analysis with Python
- Master the Fundamentals of Python
- Build an Interactive Data Analytics Dashboard with Python
Teddy has taught hundreds of students Python and data science during in-person classroom settings. He sees first hand exactly where students struggle and continually upgrades his material to minimize these struggles by providing a simple and direct path forward.
Teddy has demonstrated his deep fluency in Python by developing open source Python libraries and is the creator of dexplo, a suite of data science packages that include bar_chart_race, dexplot, jupyter_to_medium, and dataframe_image. He holds a Master’s degree in Statistics from Rice University.
- Objects and types
- Ranges and constructors
- Conditional statements
- Writing entire programs
- List comprehensions
- Built-in functions
- User-defined functions
- Tuples, sets, dictionaries
- User-defined modules
- Errors and exceptions
- Texas hold’em poker
Who this course is for:
- Beginning Python programmers that desire a comprehensive path to become experts without knowledge gaps
- No prior programming experience is required. This course transforms beginners to competent programmers
Last Updated 11/2022