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Python Course of the Month – Introduction to Python for Data Science

If you dream of a career in data science, or if you just want to work with data better and more efficiently, learn Python. It's the world's most popular data analytics language to help you succeed. Our Introduction to Python for Data Science is the Python Course of the Month for May 2022!

You do not need any IT experience to start this online course. Our interactive Python course is a great first step towards data science and Python expertise.

At LearnPython.com, we choose one of the courses from our offerings every month. By doing so, we showcase a learning path to follow for our users. In the previous months, these courses have been beginner courses found in the Python Basics track.

Last month, we chose “Python Basics. Practice.” It is a great course for those who already know the Python foundations and need more hands-on practice. You can read about this online course in this article.

What Is Python?

In all likelihood, you have heard of Python, and you know it's a popular programming language. It is used in many areas from web development, deep learning, and automation, to data science. As you see, the possibilities are endless.

Python is a general-purpose, high-level programming language. It has a great advantage in the vast libraries and the scripts, created and developed by the members of an active online community. They extend the already great capabilities of Python applications.

The history of Python is not long. It begins in the early ’90s when a gifted Dutch programmer, Guido van Rossum, decided to create a programming language that, unlike others, would be simple and easy to learn.

Writing code was not supposed to be associated with agony. Rather, it was supposed to be fun and enjoyable. At LearnPython.com, we really like Python. And we boldly say: “Mr. Rossum, you made it!”

Python commands are based on plain English and are logical and easy to remember. No need to worry about writing code consisting of strange characters and strings of random numbers. Everything is really simple here.

Why Should You Learn Python?

If you are still hesitant or not convinced, I can tell you many reasons why you should learn Python.

There's the financial aspect. You earn more money. Python is a sought-after skill your potential future employers gladly reward. You don't want to change jobs? Your current boss will also appreciate that you have learned something new and that you can, for example, improve the processes at your company.

If you don't know what Python can do for you, see what some global corporations use it for. If it’s useful to Netflix and Uber, it helps your business, also.

Introduction to Python for Data Science

Perhaps someone suggested you learn Java instead of Python. Java is a great language, but it may not be the best idea in many cases. See why.

If you're looking for more reasons to learn Python, read this: Why Learn Python in 2022.

What You'll Find in the “Introduction to Python for Data Science” Course

Our May Python Course of the Month is the third and final course in our Python for Data Science track.

Introduction to Python for Data Science

This awesome Python online course contains 141 interactive exercises. They should not take you more than 12 hours to complete.

You could try to do all the exercises at once. From my own experience, however, I can tell you planning your learning process and extending it over time is much better. You can find some good tips on how to approach learning Python here.

This course teaches you how to:

  • Import CSV files into Python.
  • Create simple data visualizations with Python’s visualization library, matplotlib.
  • Use Python’s data analysis library, pandas.
  • Perform simple analyses on data using Python.
  • Use Python to do basic calculations.
  • Work with missing values.
  • Create variables in Python.
  • Use and create data frames in Python.
  • Filter data frames in Python.
  • Add new columns to existing data frames.

All exercises in this online Python course are interactive and suitable for Python beginners. If you are completely green on the subject, consider starting with the Python Basics track.

Our online Python courses are the best way to learn Python. Instead of struggling with boring theory, you'll be writing real code and solving coding challenges based on real-life scenarios. It can't be better.

Everything happens inside our platform via your web browser. You don't need to install anything on your computer or set up anything. Just enter the code and see how it works. Our console takes care of everything. You make progress and move quickly to the next levels of Python.

It is never too late to start learning Python. Anyone can learn and become successful at any age. You’re never too old to learn programming!

Who Should Take This Python Basics Course?

If you are here, you probably know data science is currently a hot trend on the market. And it looks like it will be for a long time. Our course is a great first step to jumping on this trend. You're going to have to learn Python sooner or later if you want to work with data.

We have created our Python course for all those who need to learn to create meaningful and compelling charts and data presentations. Are you a data and business analyst, a newbie data scientist, or a student needing to learn Python? You've come to the right place!

Check if Python is right for you by creating a free account at LearnPython.com and doing a few free trial exercises.

Introduction to Python for Data Science

Try Our Python Course of the Month!

Data science is a great career idea. You too can be successful. With Python, you can change jobs or spread your wings in your current position.

You can do it even if you've never had IT experience! Fall in love with programming with this course. Expand your skillset and let yourself be persuaded to change for the better. The world is waiting for you!

What to do:

  • Create a free com account or log in if you already have one.
  • Start the course. You'll have free access to the first few exercises. See if it is for you before you buy full access to it.

Start learning Python for data science today!