Want to become a data scientist but don’t know Python? Don’t worry; we’ve got your back. With our free online Python course for beginners, you can learn Python online free and kickstart your data science journey. You don’t have to spend a dime to enroll in this program. The only investment you’d have to make is 30 minutes a day for a few weeks, and by the end, you’d know how to use Python for data science.

To enroll in our Python course free, head to our upStart page, select the “Python for Data Science” course, and register. This article will discuss why you should study Python for data science, our course contents, and what its advantages are. Let’s get started.

Why Learn Python for Data Science?

Python is among the most popular programming languages on the planet. According to a survey from RedMonk, a prominent analyst firm, Python ranked 2nd in their ranking of programming languages by popularity.

Python became the first language other than Java or and JavaScript to enter the top two spots. You can see how relevant Python is in the current market. It’s a general-purpose programming language, which means you can use it for many tasks. Apart from data science, Python has applications in web development, machine learning, etc.

In data science, Python has many applications. It has multiple libraries that simplify various data operations. For example, Pandas is a Python library for data analysis and manipulation. It offers numerous functions to manipulate vast quantities of structured data.

This way, it makes data analysis much more straightforward. Another primary Python library in data science is matplotlib, which helps you with data visualization. Python is one of the core skills of data science professionals. Learning it will undoubtedly help you in entering this field.

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