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

Fitting Statistical Models to Data with Python (Coursera) Coursera
University of Michigan

Fitting Statistical Models to Data with Python (Coursera)

In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.

Jun 22nd 2026
4 Weeks
Analyze Data to Answer Questions (Coursera) Coursera
Google

Analyze Data to Answer Questions (Coursera)

This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives.

Jun 16th 2026
4 Weeks
Introduction to Business Analytics: Communicating with Data (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Business Analytics: Communicating with Data (Coursera)

This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.

Jun 15th 2026
4 Weeks
Applied Analytics and Data for Decision Making (Coursera) Coursera
University at Buffalo,The State University of New York

Applied Analytics and Data for Decision Making (Coursera)

By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards. Hospitality, manufacturing and e-commerce case studies help illustrate how to build data literacy while ensuring privacy and data ethics measures are in place.

Jun 22nd 2026
4 Weeks
Introduction to Machine Learning in Production (Coursera) Coursera
DeepLearning.AI

Introduction to Machine Learning in Production (Coursera)

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.

Jun 22nd 2026
3 Weeks
Calculus through Data & Modelling: Integration Applications (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Integration Applications (Coursera)

This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values.

Jun 22nd 2026
4 Weeks
Web of Data (Coursera) Coursera
EIT Digital

Web of Data (Coursera)

This MOOC – a joint initiative between EIT Digital, Université de Nice Sophia-Antipolis / Université Côte d'Azur and INRIA - introduces the Linked Data standards and principles that provide the foundation of the Semantic web. You will learn how to publish, obtain and use structured data directly from the Web. Learning the principles, languages and standards to exchange Data on the Web will enable you to design and produce new applications, products and services that leverage the volume and variety of data the Web holds.

Jun 22nd 2026
4 Weeks
Customer Analytics (Coursera) Coursera
University of Pennsylvania

Customer Analytics (Coursera)

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few.

Jun 22nd 2026
5-12 Weeks