Free Python Course
A complete beginner's introduction to Python. With this free course, we’ll teach you the basics of the Python programming language, which can be used for anything from software and web development to data analysis.
Dive into Python and get to know data science fundamentals such as variables, strings, lists, looping, iterating, boolean logic, and flow control. Build up your foundational skills in probability and statistics, and learn how to build a calculator, a word game, and a math game using Python programming. This is a free course that will cost you nothing except your time, effort, and commitment to learning.
The IDE: Printing your first thing
An Introduction to Data and Logic
Introduction to Strings
Exercise : String Replacement
Introduction to Numbers
Math in Python
Exercise: Tax Calculator
Exercise: Bill Splitter
Planning the Project
Solution: Word Game
Introduction to Lists
Exercise: Reading Lists
Changing the Contents of a List
Exercise: Foosball Players
Introduction to Looping
Making New Data
Iterating Over a Range
Strings are Special Lists
Introduction to Logic and Flow Control
if elif else
Exercise: Password Checker
Exercise: Password Validator
Exercise: Math Game
Solution: More Stories
Printing out the Story Titles
Solution: Printing out the Story Titles
Wrap Up and Next Steps
Appendix A: Exercise Solutions
This course has been an interesting for me, and so, would be interested for everyone!!
This course has been an interesting for me, and so, would be interested for everyone!!Read Less
Nicely laid out text and activities. Good starting point in learning Python.
Nicely laid out text and activities. Good starting point in learning Python.Read Less
Yes, it is definitely possible to learn Python on your own—all you need is a computer, an internet connection, and a productive space to learn. There are a variety of free courses (like this one!) and resources, online communities, and forums to help you get started learning Python.
Our free Python course is specifically designed for self-study, and to get you comfortable with learning Python programming on your own. The key to learning Python on your own is to practice writing code, running into errors, and solving problems yourself. The more you write code, modify text, run experiments, and test hypotheses, the better you will understand core concepts of the Python programming language.
As you progress through this course, try to make as much progress as you can without looking at solutions. If you must look at solutions, be sure to recreate the code yourself so that you fully grasp the concepts. This will be the best way to become confident in your Python programming skills without an in-person class!
You can pick up the basics of a programming language like Python in a month. The pace of learning is different for everyone, however, and depends on the time and effort you put into it. The more effort you put in, the more you’ll get out of it, and the faster you’ll learn.
If you decide to learn Python through online courses, be diligent and committed to managing your time to make room for Python courses and lessons. Here are some ways to learn Python faster:
Wake up 30 minutes earlier every day. Commit some time each morning to learn and practice Python before your busy work day begins. Create problems for yourself to solve once you think you understand a concept. The importance here is to build a learning habit earlier, creating the foundation of knowledge for you to build upon.
Sacrifice an episode of your favourite Netflix show. Although it’s always nice to relax at the end of the day with binge-able TV, take 30 minutes to an hour at night to review what you learned in the morning and set up your lesson for the next day. Use a goal tracker, like Notion, for example, to stay on track and keep tabs on your progress.
Take advantage of weekend mornings. Weekends are precious, and a good time to dive into Python courses when there are no pressing work matters to deal with. Make coding a weekend morning ritual! Short sprints of 30 minutes of dedicated deep work is more beneficial than 1-2 hours of distracted learning.
Compete in data competitions. The best way to learn is by doing. Join data science competitions like our 21-Day Data Challenge or 21-Day Coding Challenge to really test and hone your Python skills. These challenges happen twice a year, in the fall and in winter/spring.
Yes, you can absolutely learn Python online. The key to being successful, however, is to practice, practice, practice.
Think of Python as a musical instrument, like a guitar. If you simply watch tutorials and read lessons on how to play the guitar, you will never be truly proficient. To become a great guitar player, you need hands-on practice—and that’s the same with learning Python programming. Be prepared to fail at times, and to not get things right the first time. The best way to learn is to learn by doing.
Our course builds on core foundational concepts with sample code and exercises for students to practice writing and experimenting with, as well as projects for you to use Python and test your programming knowledge. Practicing coding consistently is the best way to successfully learn any programming language—including Python—online.
Python is an excellent way to advance your career, but is not sufficient on its own to get a job.
If you consider yourself a beginner, that’s OK! Free Python courses will help you get started in the world of coding languages with the basics—at the very least, you’ll have a foundational understanding of the Python programming language. If your goal is to get a job as a professional programmer or work in software development or data science, you’ll need some additional training. Each specialization requires its own set of technical skills—and soft skills shouldn’t be forgotten either.
Want to learn further about data? Discover our data science bootcamp!
Want a career in tech but aren’t sure where to start? Take our Skills Gap Quiz to identify and benchmark your current tech career skills. Learn how to bridge your skills gap to advance your career in tech.