Python Track of the Season: Python for Data Science

The New Year is upon us. You may have already broken some New Year's resolutions… Well, we have also! However, there is one resolution worth keeping – learn Python at last. Make a change in January! I will tell you why you should learn Python and take our Python Track of the Season, Python for Data Science!  In this article, we’ll answer common questions about this track.

Everyone loves gifts, and the best you can give yourself is a new skill. This can not only give you an advantage on the job market, but it can also help you carry out everyday tasks more efficiently. Even if you’re just doing it to broaden your horizons, learning is a great investment.

Each season, the LearnPython.com team chooses a track to become our Track of the Season. This time, we have chosen Python for Data Science. It’s an awesome set of Python interactive courses!

Data science is hot; knowing it well almost guarantees a good job. Do you want to know exactly what it means to be a data scientist? Read the article Who Are Data Scientists and What Do They Use Python For?

If you've never dealt with Python and are still afraid to invest the time and money to learn it, try our Python Basics. Part 1 course. At the time of writing this article, it is completely free. Just log in and start coding!

Let's go back to our Python track.

A Python Track? What Is That?

Now that you're reading, you've probably already made up your mind to learn Python! Congratulations – this is one of those decisions that can change your whole life. It's best to learn Python in interactive online courses like the ones at LearnPython.com.

So, where should you start your learning journey? And how do you know what to learn? Our tracks solve these problems for you. These are specially designed learning paths that contain Python courses geared to specific goals and proficiency levels.

Of course, you can take each Python course separately. However, it’s much better to do them in a specific order so that you will quickly progress and learn new skills. Plus, you don’t have to think about the next steps; our experts have made sure you’ll receive the information you need to know.

Would you like to become a Python developer or data scientist? Or maybe you want to know the basics of data processing with Python? Whichever path you choose, we've got you covered.

Why Should You Learn Python for Data Science?

Let’s start with why you should learn Python: it’s undeniably one of the best programming languages. It has tons of uses, from web development to data analysis. In the Stack Overflow Survey 2022, Python is the fourth most popular programming language, ahead of Java, C, and PHP. For a more detailed answer to this question, see the article Why Learn Python.

Now, why should you learn Python if you’re interested in data science? Python is one of the basic tools of data science; this industry is largely responsible for Python’s popularity. You can read more about the advantages of using Python for data science here.

Finally, what if you’re looking to switch careers? Maybe you’ve read that learning programming is only for young people or only for people who already know IT. The truth is that anyone can learn Python (and data science) at any age. You’re never too old to learn programming!

What’s in the Python for Data Science Track?

This Python Track consists of 5 interactive Python courses. It includes over 320 exercises that cover all the necessary skills to start using Python in data science.

The 5 Python courses in this track are:

• Introduction to Python for Data Science –This is your first step into data science. Learn the world’s most popular data analysis language so you can mine data faster and more effectively. No IT background is needed
• Working with Strings in Python – In this course, you’ll become fluent in string operations, a must-have for anyone working with Python.
• How to Read and Write JSON Files in Python - In this course, you’ll learn about JSON, why some compare it to XML, and how to read and write JSON files in Python.
• How to Read and Write CSV Files in Python - Data is commonly stored in CSV files; this course will show you how to work with the Python CSV module and automate simple tasks.
• How to Read and Write Excel Files in Python - Find out how to open, read, and write an Excel file in Python.

This track is the Python foundation you need to get started in the field of data science. After completing it, you will be able to write data processing scripts and understand the fundamentals of data science. But this is not the end of your journey! You will be prepared for further education in Python programming and data science.

The best way to learn any skill is through practice, which is why all Python courses at LearnPython.com are interactive. As you do the exercises, you will write real code in our online console and see it working in practice.

We estimate that it should take you around 40 hours to complete everything in this Python track. Of course, you shouldn’t even try to do everything at once. Spread your learning over time, learn, and practice coding. You’ll start building your skills in no time!

Who Should Take This Track?

We have created this track for beginners who want to learn data science and Python, but those with experience in this field will also find something for themselves. Have you programmed in Java? See how much easier it is to work with Python. Are you a student preparing for computer science exams? You can also use the knowledge collected in Python for Data Science!

Ready to Get Started with Python in Data Science?

After reading this article, you know why learning Python for data science is a good decision.

If you’re still not convinced, check out what kind of job offers knowing Python can bring. Python is futureproof and will give you a chance to change your job, increase your salary, and grow your professional satisfaction!

What should you do now? Create a free account on LearnPython com and check if our platform suits you. You're not risking anything. If you like how the exercises look, buy the Python for Data Science track and start being awesome!