So you’re looking to break into the fast-paced, ever-changing world of data science. Maybe you’re an aspiring data analyst, a student, or someone keen to switch careers. Wherever you are on your journey, one thing’s for sure: you’ll need the right educational resources to guide you. Enter DataCamp—the leading online platform for learning data science. The best part? They offer some fantastic free courses to get you started. Here are the top 8 DataCamp free courses that you can start learning today, without spending a dime.

What Makes DataCamp Special?

Before diving into the list, let’s take a moment to talk about DataCamp. It’s a virtual classroom that focuses specifically on data science education. Whether you’re into Python or R, DataCamp has got you covered.

DataCamp is a data science e-learning platform for students to learn data science using Python programming or R programming.

Must-Take Python Course for Data Science Newbies

One of the first courses you’ll want to look into is DataCamp’s “Introduction to Python”. Python is becoming the go-to language for data science, and this course is tailored to teach Python for data science specifically.

“Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge.”

So what does this course cover? You’ll delve into the basics of data analysis in Python. Expect to learn about different ways to store and manipulate data, along with some helpful data science tools.

Click here to enroll in the course: Start learning Introduction to Python today!

Why R is Still a Data Science Staple

If you thought data science was all about Python, think again. The R programming language is still very much in the game. Oracle estimated over 2 million R users worldwide back in 2012, and that number has been growing rapidly.

Oracle estimated over 2 million R users worldwide in 2012, cementing R as a leading programming language in statistics and data science.

The “Introduction to R” course covers the basic constructs of this language, including factors, lists, and data frames. Once you complete this course, you’ll be prepared to carry out your first data analysis.

Click here to enroll in the course: Start learning Introduction to R today!

The SQL You Need to Know for Data Science

Imagine you’ve got access to loads of raw data. What’s the next step? You’ll need SQL to organize and make sense of that data. SQL or Structured Query Language, is essential for data manipulation and retrieval from relational databases.

“To be an effective data scientist, you must know how to wrangle and extract data from these databases using a language called SQL.”

The course not only teaches SQL but also familiarizes you with databases like PostgreSQL, MySQL, SQL Server, and Oracle.

Click here to enroll in the course: Start learning Introduction to SQL today!

A Primer on Deep Learning in Python

Ever wondered how self-driving cars, image recognition, or chatbots work? The answer is deep learning. And DataCamp’s “Introduction to Deep Learning in Python” course is your key to unlock these advanced technologies.

Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition, and artificial intelligence, including the famous AlphaGo.

Click here to enroll in the course: Start learning Introduction to Deep Learning in Python today!

Data Manipulation: The Skill Every Data Scientist Needs

Data isn’t always clean or in the right format. That’s where “Data Manipulation with pandas” comes in. It’s an essential skill, and this course teaches you how to manipulate DataFrames, extract data, and transform datasets for analysis.

Using pandas you’ll explore all the core data science concepts. Using real-world data, including Walmart sales figures and global temperature time series, you’ll learn how to import, clean, calculate statistics, and create visualizations—using pandas to add to the power of Python!

Click here to enroll in the course: Start learning Data Manipulation with pandas today!

Dive Into The Tidyverse

For those who’re more comfortable with R, the “Introduction to the Tidyverse” course is the perfect fit. It focuses on data manipulation and visualization using dplyr and ggplot2 tools.

You’ll then learn to turn this processed data into informative line plots, bar plots, histograms, and more with the ggplot2 package. You’ll get a taste of the value of exploratory data analysis and the power of Tidyverse tools.

Click here to enroll in the course: Start learning Introduction to the Tidyverse today!

Data Science Demystified: A Course For Everyone

Ever wondered what all the buzz about data science is? “Data Science for Everyone” will give you a comprehensive overview without requiring you to write a single line of code.

Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords.

Click here to enroll in the course: Start learning Data Science for Everyone today!

Visualizing Data: More Than Just Pretty Charts

Last but not least, we’ve got “Introduction to Data Visualization with Matplotlib”. This course dives deep into how to visualize data using Python’s Matplotlib library.

Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets. You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations.

Click here to enroll in the course: Start learning Introduction to Data Visualization with Matplotlib today!

So, which course caught your eye? Each one offers a unique approach to data science, and they’re all free! Get started today and set the course for your data science journey.