EdX

The Essentials of Data Literacy Online Course (edX)

The Essentials of Data Literacy Online Course (edX)

Learn fundamental data skills with an online course that teaches you how to analyze, manage, and visualize data. Audit for free or obtain a certificate. Learn data literacy online using R programming. What is data literacy and why is it important? In this data literacy course, you will learn how to become data literate. This will be accomplished by performing data analysis, data visualization, and communicating with data, using real datasets and examples that are relevant to a variety of audiences and academic disciplines.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Data is part of every field, but not everyone has had the opportunity to gain the skills necessary to find the data they need and use it in ways that add to their work. Whether you are in public health, healthcare, banking, law, education, graduate school, or a variety of other fields, there is a way to understand and make use of related data.
Earn your data literacy certificate online
This free four-week course will give you the opportunity to build and leverage your data skills for upward mobility at any stage in your career. It will take you through the six steps of the data lifecycle, using different case studies and contexts, and teach you how to analyze, manage, and communicate data, working in R to achieve basic R programming competencies. R is a statistical programming language that is a great resource to analyze data, manage data, and visualize data.
No experience is required to learn this in-demand skill. By the end of this data literacy training course, you will be able to identify key principles of data analysis, use critical thinking skills, and become proficient in building powerful visuals. If you are interested in building a career in data analytics, first learning these foundational lessons is vital.
This course is part of the following programs:

What you'll learn
Develop your data analytics skills

  • The six steps of the data lifecycle
  • Use R to perform probability functions, statistical analysis, data management, and more
  • Learn how to be a critical consumer and producer of data visualizations
  • Gain a deeper understanding of your company’s data needs
  • Discover how to market your data skills to employers
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Try It: Explore Google Looker Studio (edX) EdX
edX

Try It: Explore Google Looker Studio (edX)

Google Looker - formerly Google Data Studio - gives you a shortcut to compelling and actionable dashboards that makes your data sing. If you want to learn how to visualize and analyze data, this course on Google Looker Studio is your first step. Google Looker Studio is a free program that helps users create polished and interactive charts and graphs.

Self Paced
Self-Paced
Analyzing Data with R (edX) EdX
IBM

Analyzing Data with R (edX)

R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data. The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet your objectives.

Self Paced
Self-Paced
Platform-Based Analytics (edX) EdX
Indiana University,IUx

Platform-Based Analytics (edX)

Gain hands-on experience extracting, preparing, exploring, and analyzing data statistically and visually using features and tools native to Microsoft Excel. In an ever-growing digital world, the need for strong data analysis skills is at the forefront of every business function, along with the ability to accurately describe and interpret analytical findings.

Nov 7th 2023
5-12 Weeks
Statistics and R (edX) EdX
HarvardX,Harvard University

Statistics and R (edX)

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation.

Self Paced
Self-Paced
The Analytics Edge (edX) EdX
MIT,MITx

The Analytics Edge (edX)

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

This course is archived
13-24 Weeks
Data Visualization & Cloud Technologies (edX) EdX
University of Wisconsin–Madison,WisconsinX

Data Visualization & Cloud Technologies (edX)

Learn to use data visualization and cloud technologies for business analytics. In this course, gain experience in data visualization and cloud technologies to support business analytics. In the first half of the course, create and share compelling data visualizations to enhance decision-making. In the second half of the course, use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.

Oct 26th 2026
5-12 Weeks
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

Self Paced
Self-Paced
Data Science Tools (edX) EdX
IBM

Data Science Tools (edX)

Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

Self Paced
Self-Paced