This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights.
This course is part of the Data Literacy Specialization
Offered By
About this Course
An interest in learning how to make sense of data
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Causal Inference
- Data Visualization (DataViz)
- Empirical Evidence
- Cross-Sectional Analysis
- Basic Descriptive Statistics
An interest in learning how to make sense of data
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Data and Theories
The Causality Framework
Descriptive Statistics
Visualizations
Reviews
- 5 stars72.32%
- 4 stars19.64%
- 3 stars5.35%
- 2 stars0.89%
- 1 star1.78%
TOP REVIEWS FROM DATA – WHAT IT IS, WHAT WE CAN DO WITH IT
Good general overview of data description, different ways of reading/presenting data sets.
The course was streamed objectively. The reading site and materials covered were broad and fulfilling the objectives.
Some of the quiz questions feel a bit unfair. Answers that are "Accurate, but..." do not feel appropriate for these kinds of lessons.
This course explains basic statistical data analysis and research methodology in a really easy, understandable, relatable, and intuitive manner.
About the Data Literacy Specialization

Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.