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Learning to code is learning a new language. While you can learn it on your own, it is 10 times easier if you have a teacher or a course outline to follow. Python is one of the most popular programming languages ​​because of its simplicity.

For those who want to enter the world of data science, Python should be your first choice. In this blog, I will go through 3 of the most popular data science bootcamps where you can perfect your Python skills, from beginner, intermediate, and expert.

From Zero to Hero in Python

Link: The Complete Python Bootcamp from Zero to Python Hero

This is for the absolute beginners, those who know very little about the Python programming language. 22 hours of learning Python like a pro. Start with the basics and move on to creating your own applications and games. This should be the first course you take, because you want to master Python. From the complete basics to a Python master.

This course has 1,931,562 students enrolled (July 14, 2024) with a rating of 4.6/5. The course includes 22 hours of on-demand video, 19 coding exercises, 15 articles, full access, and a certificate upon completion.

In this course, you will learn how to harness the power of Python to solve tasks and build games and programs that use Python libraries. Learn how to use Python for your work problems or personal projects, while creating a portfolio of Python-based projects that you can share. This course teaches you Python in a hands-on way, learning advanced features such as collection modules and object-oriented programming.

Python Pro Bootcamp

Link: 100 Days of Code: The Complete Python Pro Bootcamp

Practice makes perfect. When it comes to mastering a programming language, you want to test it in lots of different ways. Learn to master Python by building 100 projects in 100 days.

There are already 1,323,792 students enrolled (July 14, 2024), with a rating of 4.7/5. You will get access to 54 hours of on-demand videos, assignments, 226 articles, 147 downloadable resources and full lifetime access with a certificate of participation.

In 100 days, where you will spend 1 hour per day and learn to build 1 project per day, you will become a Python master. Within these 100 unique projects, you will learn automation, game, app and web development, data science and machine learning, all using Python. You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly and Matplotlib. At the end of the 100 days, you will have created a portfolio of 100 Python projects that will help you when applying for jobs!

Automate the boring stuff with Python

Link: Automate the Boring Stuff with Python Programming

So you’ve learned the ins and outs of Python, from basic to advanced. You’ve put your skills to the test, and you’re confident in your Python programming abilities. But you know Python can do more, more to make your life easier. You can take this course first or last—it’s entirely up to you. Maybe you want to learn how to do it the hard way before you find the easy way.

Incoming Automate the Boring Stuff with Python – a course for those who want to improve their productivity. With 1,128,969 students already enrolled (July 14, 2024), 9.5 hours of on-demand video, 95 downloadable resources, full lifetime access, and a certificate of completion.

In this course, you will learn how programming allows you to write code that can automate tedious tasks. For those who want to get started writing small programs that perform practical tasks as quickly as possible. You don’t need to know anything about sorting algorithms or object-oriented programming, so this course skips all the computer science and focuses on writing code that gets things done.

The finishing

These 3 Bootcamps are currently the most popular courses you need to learn Python. They have been circulating in the Python community for a while now and are becoming more popular by the day. And there is a reason behind it.

The first course gives you all the tools you need to learn Python. The second course allows you to test your Python knowledge and become proficient. The last course helps you learn small tips and tricks in your daily tasks with Python.

Triple whammy!

Nisha Arya is a data scientist, freelance technical writer and editor, and community manager for KDnuggets. She is particularly interested in providing career advice or tutorials on data science and theory-based knowledge about data science. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can improve the longevity of human life. Nisha is an avid learner and wants to broaden her technical knowledge and writing skills while helping others.