Course of the Month – Intro to Python for Data Science

If you dream of a career in data science – or if you just want to work with data more efficiently – learn Python. It's the world's most popular language for data analytics. Our Introduction to Python for Data Science is the Python Course of the Month for January 2024!

You do not need any IT experience to start this interactive Python course. It’s a great first step towards data science and Python expertise.

At LearnPython.com, we feature one of our courses every month. By doing so, we showcase a learning path for our users to follow. In the previous months, we’ve featured the beginner-level courses found in the Python Basics track. One of the most popular has been  Python Basics: Practice. It’s a great choice for those who already know Python’s foundations and need more practice. You can read about our Python practice course here.

But back to Python for data science. What is it, and why should you learn it?

What Is Python?

You’ve probably heard of Python and its popularity. This programming language is used in many areas, including web development, Artificial Intelligence and deep learning, automation, and data science.

Python is a general-purpose, high-level programming language. One of its great advantages are its many libraries, which are developed by the members of Python’s active open-source community. These extend Python’s already great capabilities and make building new Python programs easier and faster.

The history of Python is not long. It began in the early ’90s, when Dutch programmer Guido van Rossum decided to create a simple and easy-to-learn programming language.

Writing code in Python is not supposed to be associated with agony. Rather, it’s supposed to be fun and enjoyable. At LearnPython.com, we really like Python. And we say: “Mr. Rossum, you’ve succeeded!”

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

Why Should You Learn Python?

There are many reasons why you should learn Python.

There's the financial aspect: you can earn more money. Python is a sought-after skill that employers gladly reward. Even if you’re not looking to change careers, your boss will 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, check out what some global corporations use Python to do. If it’s useful to Netflix and Uber (among others), it can help your company too.

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 how Python and Java compare if you want more details. And for more inspiration, read 5 Reasons to Learn Python in 2023.

Why should you use LearnPython.com? Because our online Python courses are the best way to learn programming. Instead of struggling with boring theory, you'll be writing real code and solving coding challenges based on real-life scenarios.

Plus, we make it easy. Everything happens inside your web browser. You don't need to install anything on your computer or set up anything. Just enter your code into our online console and our platform takes care of the rest.

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!

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

Our January Python Course of the Month is the first course in our Python for Data Science track. It contains 141 interactive exercises that should not take 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 that 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 using the Python data visualization library Matplotlib.
• Use the popular Python library pandas to do some data analysis.
• 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. But if you are completely new to Python or coding, consider starting with our Python Basics track and then coming back to this one.

Who Should Take This Course?

You probably know data science is currently a hot job. And it looks like it will stay that way for a long time. Our course is a great first step to capitalizing on this trend. You're going to need Python if you want to work with data.

We 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! You can find out if Python is for you by creating a free account at LearnPython.com and doing a few free trial exercises.

Try Our Python Course of the Month!

Data science is a great career idea. With Python knowledge, you can start your path to a data science career – or spread your wings in your current position.

You can do it even if you've never had IT experience! Get hooked on programming with this course and expand your skillset. The world is waiting for you!

What to do:

• Create a free LearnPython.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 the complete course.

Start learning Python for data science today!