Data Science courses
Learn Data Science with the following free courses and tutorials. Chosen and upvoted by our community. Do you know other free Data Science courses that should be listed here? Add them to Coursearena and help others who search for it.
Free Data Science courses and tutorials
Data Science: Visualization[www.edx.org]
Learn basic data visualization principles and how to apply them using ggplot2.
Introduction to R for Data Science[www.futurelearn.com]
Discover big data: work with airline data to learn the fundamentals of the R platform.
Introduction to Genomic Data Science[www.edx.org]
Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat.
Data Science: Linear Regression[www.edx.org]
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches used in data science.
Data Science: Machine Learning[www.edx.org]
Learn the basics of machine learning, the science behind the most popular and successful data science techniques, to build a movie recommendation system.
Statistical Thinking for Data Science and Analytics[www.edx.org]
Learn how statistics plays a central role in the data science approach.
Learn how to use inferential thinking to make conclusions about unknowns based on data in random samples.
Data Science Interview Prep[www.udacity.com]
Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions.
Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions.
Data to Insight: An Introduction to Data Analysis and Visualisation[www.futurelearn.com]
A hands-on introduction emphasizing key ideas, computer software and statistical thinking.
Data Science: Wrangling[www.edx.org]
Learn an indispensable part of data science known as data wrangling, a process that involves converting raw data to formats needed for further analysis.
Data Science: R Basics[www.edx.org]
Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course covers common programming commands, how to operate on vectors, and when to use advanced functions such as sorting.
Data Science: Productivity Tools[www.edx.org]
Data science projects involve keeping track of many data files and analysis scripts. Learn GitHub, git, Unix/Linux and RStudio to keep your projects organized and produce reproducible reports.
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
Data Science: Inference and Modeling[www.edx.org]
Learn inference and modeling: two of the most widely used statistical tools in data analysis.
Ethics and Law in Data and Analytics[www.edx.org]
Analytics and AI are powerful tools that have real-word outcomes. Learn how to apply practical, ethical, and legal constructs and scenarios so that you can be an effective analytics professional.
Data Science for Environmental Modelling and Renewables[www.futurelearn.com]
Learn how data science can help us understand our environment and try the tools used by statisticians and data scientists.
Introduction to Data Science[www.edx.org]
Get started on your Data Science journey.
Data Science in the Games Industry[www.futurelearn.com]
Learn how the games industry can use big data to enhance the gaming experience and increase profits.
Data Science Research Methods: Python Edition[www.edx.org]
Get hands-on experience with the science and research aspects of data science work, from setting up a proper data study to making valid claims and inferences from data experiments.
Analytics for Decision Making[www.edx.org]
Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions.
Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python.
Intro to Data Science[www.udacity.com]
What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!
Programming for Data Science[www.edx.org]
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
Data Analysis with R[www.udacity.com]
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
Data Science Research Methods: R Edition[www.edx.org]
Get hands-on experience with the science and research aspects of data science work, from setting up a proper data study to making valid claims and inferences from data experiments.
Data Science for Healthcare: Using Real World Evidence[www.futurelearn.com]
Discover the importance of real world evidence (RWE) and learn how it can be used in healthcare.
First Steps in Data Science with Google Analytics: Bridging Business to Technical Experts[www.futurelearn.com]
Get started in data science by learning how to use Google Analytics to analyse user behaviour and website performance.
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