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Learning how to code is learning a new language. Although you can learn it by yourself, it makes it 10 times easier when you have a teacher or a course outline to follow. Python is one of the most popular programming languages due to its simplicity.
For those looking to enter the data science world, 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.
Zero to Hero in Python
Link: The Complete Python Bootcamp From Zero to Hero in Python
This is for the absolute beginners, those who know little about the Python programming language. 22 hours of learning Python like a professional. Start from the basics and go to creating your own applications and games. This should be the first course you take, as you want to get your head around Python. Going from the complete basics onto a master of Python.
With 1,931,562 students already enrolled (14th July 2024) with 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 leverage the power of Python to solve tasks and build games and programs that use Python libraries. Learn how you can use Python for your work problems or personal projects, whilst being able to create a portfolio of Python-based projects you can share. This course will teach you Python in a practical manner, where you will learn 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 getting a programming language under your belt, you want to test it in many different ways. Learn how to master Python by building 100 projects in 100 days.
1,323,792 students already enrolled (14th July 2024), with a 4.7/5 rating, 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 dedicate 1 hour per day, and learn to build 1 project per day – you will master Python. 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. By the end of the 100 days, you will have created a portfolio of 100 Python projects that will help you apply for jobs!
Automate the Boring Stuff with Python
Link: Automate the Boring Stuff with Python Programming
So you have learnt the ins and outs of Python, from basic to advanced. You’ve put your skills to the test and you feel confident in your Python programming skills. But you know Python can do more, more to make your life easier. You can take this course first or last – it’s completely up to you. You may want to learn how to do it the hard way first before you find the easier route out.
Incoming Automate the Boring Stuff with Python – a course for those who want to improve their productivity. With 1,128,969 students already enrolled (14th July 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 writing small programs that do 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 stuff done.
Wrapping it up
These 3 Bootcamps are currently the most popular courses you need to learn Python. They have been circulating the Python community for a while and are getting popular by the day. And there’s 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. Where the last one helps you learn small tips and tricks in your day-to-day tasks using Python.
Triple whammy!
Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.
