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Learning to program is like learning a new language. While you can learn it on your own, it is ten times easier if you have a teacher or a curriculum to follow. Python is one of the most popular programming languages due to its simplicity.
For those looking to enter the world of data science, Python should be your first choice. In this blog, I will be going over 3 of the most popular data science bootcamps where you can hone your Python skills, from beginner, intermediate, and expert level.
From Zero to Hero in Python
Link: The Complete Python Crash Course: From Zero to Python Hero
This course is aimed at absolute beginners, those who know little about the Python programming language. 22 hours of learning Python like a pro. Start from the basics and create your own apps and games. This should be the first course you take, as you want to get familiar with Python. Go from complete basics to mastering Python.
With 1,931,562 students already enrolled (July 14, 2024) and a rating of 4.6/5, this course consists of 22 hours of on-demand video, 19 coding exercises, 15 articles, full-time access, and a certification upon completion.
In this course, you will learn how to harness the power of Python to solve tasks and create games and programs that use Python libraries. Learn how to use Python for your work problems or personal projects, while also being able to create a portfolio of Python-based projects that you can share. This course will teach you Python in a hands-on way, where you will learn advanced features such as collection modules and object-oriented programming.
Professional Python Boot Camp
Link: 100 Days of Code: The Complete Crash Course for Python Professionals
Practice makes perfect. When it comes to mastering a programming language, it pays to test it in many different ways. Learn to master Python by creating 100 projects in 100 days.
1,323,792 students already enrolled (July 14, 2024), with a rating of 4.7/5, you will have access to 54 hours of on-demand videos, assignments, 226 articles, 147 downloadable resources, and full lifetime access with a certificate of completion.
In 100 days, where you spend 1 hour a day and learn to build 1 project per day, you will master Python. In these 100 unique projects, you will learn automation, game, app and website development, data science, and machine learning, all using Python. You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib. By the end of the 100 days, you will have built a portfolio of 100 Python projects that will help you apply for jobs.
Automate boring tasks with Python
Link: Automate boring tasks with Python programming
You've now learned all the ins and outs of Python, from the basics to the advanced. You've put your skills to the test and are confident in your Python programming knowledge. But you know that Python can do a lot more to make your life easier. You can take this course first or last, it's up to you. You may want to learn how to do it the hard way first before finding the easier route.
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 will allow you to write code that can automate tedious tasks. For those who want to get up to speed with writing small programs that perform practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets tasks done.
Wrapping it up
These 3 bootcamps are currently the most popular courses you need to learn Python. They have been doing the rounds in the Python community for a while now and are getting popular day by day. And there is a reason behind this.
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. While the last course helps you learn little tips and tricks for your daily Python tasks.
Triple strike!
Nisha Arya Nisha is a data scientist, freelance technical writer, and KDnuggets community editor and manager. She is especially interested in providing career advice on data science or tutorials and theoretical knowledge on data science. Nisha covers a wide range of topics and wishes to explore the different ways in which artificial intelligence can benefit the longevity of human life. Nisha is an enthusiastic learner and is looking to expand her technological knowledge and writing skills while helping to mentor others.
