Coursera

Data Literacy Essentials (Coursera)

Offered by SAS,
Data Literacy Essentials (Coursera)

In this course, you learn the foundational knowledge and skills you need to engage with data in meaningful ways. This is an introductory data literacy course, starting with the basics: what is data, what does it mean to be data literate, and why is it important in today’s world.

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

You will build data skills by following the journeys of a concerned parent, a small business owner, and a public health expert, all of whom rely on data to navigate the COVID-19 pandemic. By the end of this course, you will be able to see the utility and interrogate the reliability of data, discover meaning in data by looking for patterns and trends, use data insights to make informed decisions, communicate data insights to others, and understand how bias impacts your work with data. If you are new to analyzing data, this course is for you. The focus in this course is on practical understanding while avoiding complicated statistical terminology to help you feel supported and encouraged throughout the process. Anybody can be successful in this course regardless or background.
This course is part of the Data Literacy: Exploring and Visualizing Data Specialization.

Syllabus

Welcome to the Data Literacy: Exploring and Visualizing Data Specialization
In this module you learn about the scope and structure of the courses in this Data Literacy: Exploring and Visualizing Data Specialization.

Data Literacy Essentials
In this course, you learn the foundational knowledge and skills you need to engage with data in meaningful ways. This is an introductory data literacy course, starting with the basics: what is data, what does it mean to be data literate, and why is it important in today’s world. You will build data skills by following the journeys of a concerned parent, a small business owner, and a public health expert, all of whom rely on data to navigate the COVID-19 pandemic. By the end of this course, you will be able to see the utility and interrogate the reliability of data, discover meaning in data by looking for patterns and trends, use data insights to make informed decisions, communicate data insights to others, and understand how bias impacts your work with data. If you are new to analyzing data, this course is for you. The focus in this course is on practical understanding while avoiding complicated statistical terminology to help you feel supported and encouraged throughout the process. Anybody can be successful in this course regardless or background.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data intelligence for businesses and managers (Coursera) Coursera
Institut Mines-Telecom

Data intelligence for businesses and managers (Coursera)

Statistics & Data Analysis Data Science

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

Sep 7th 2026
5-12 Weeks
Artificial Intelligence Data Management Business Strategy
Details
Data to Advance Population Health: Global Perspectives (Coursera) Coursera
Johns Hopkins University

Data to Advance Population Health: Global Perspectives (Coursera)

Health & Society

In this course, you will learn about methodologies that support the successful data use to strengthen public health programs and policies. Experts from around the world will define and explain what population-level data is, introduce the data-generation-to-use cycle, and explain other considerations for successful data use for population health. You will also learn about how health services data can be used to inform population-level decision-making, and the application of a gender and equity lens towards these data systems to ensure they are responsive to the needs of populations. Our overarching goal for this course is to support and improve the use of data to inform policy.

Sep 14th 2026
4 Weeks
Data Public Health Population Health
Details
Data and Health Indicators in Public Health Practice (Coursera) Coursera
Johns Hopkins University

Data and Health Indicators in Public Health Practice (Coursera)

Health & Society Medicine & Pharmacology

Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions.

Sep 7th 2026
4 Weeks
Health Data Disease
Details
Data for Business Analysts Using Microsoft Excel (Coursera) Coursera
Microsoft

Data for Business Analysts Using Microsoft Excel (Coursera)

Business

In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis.  Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel and take you one step closer to becoming a Business Analyst. 

Aug 31st 2026
5-12 Weeks
Data Excel Data Analysis
Details
Fundamentals of Social Media Advertising (Coursera) Coursera
Facebook

Fundamentals of Social Media Advertising (Coursera)

Business

This course takes a deep dive into paid advertising on social media. Learn how to start advertising on platforms like Facebook and Instagram by developing effective ads. Learn how to work with design teams by capturing the essence of your ad campaign in a creative brief, and understand how privacy policies may affect your ads. Complete the course with a project where you will produce a creative brief with assets you would deliver to a design team for your ad campaign. You’ll also create your first social media ad.

Sep 14th 2026
5-12 Weeks
Business Data Marketing
Details
Use Tableau for your Data Science Workflow (Coursera) Coursera
Edureka

Use Tableau for your Data Science Workflow (Coursera)

Statistics & Data Analysis Data Science

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

Sep 7th 2026
1 Week
Data Science Business Intelligence Data Visualization
Details
The Data Scientist's Toolbox (Coursera) Coursera
Johns Hopkins University

The Data Scientist's Toolbox (Coursera)

Statistics & Data Analysis Data Science

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

Aug 24th 2026
4 Weeks
Data Github Data Analysis
Details
Calculus through Data & Modelling: Techniques of Integration (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Techniques of Integration (Coursera)

Sci: Mathematics

In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally, we will introduce techniques to approximate definite integrals when working with discrete data and through a peer reviewed project on, apply these techniques real world problems.

Aug 31st 2026
4 Weeks
Calculus Data Integration
Details