Back to Data – What It Is, What We Can Do With It
Johns Hopkins University

Data – What It Is, What We Can Do With It

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. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk about how analysts use data for descriptive, causal and predictive inference. We’ll then cover how to develop a research study for causal analysis, compute and interpret descriptive statistics and design effective visualizations. The course will help you to become a thoughtful and critical consumer of analytics. If you are in a field that increasingly relies on data-driven decision making, but you feel unequipped to interpret and evaluate data, this course will help you develop these fundamental tools of data literacy.

Status: Analytics
Status: Data Analysis
BeginnerCourse11 hours

Featured reviews

RK

4.0Reviewed Jan 18, 2022

Some of the quiz questions feel a bit unfair. Answers that are "Accurate, but..." do not feel appropriate for these kinds of lessons.

TJ

4.0Reviewed Jul 29, 2022

The course was streamed objectively. The reading site and materials covered were broad and fulfilling the objectives.

HK

5.0Reviewed Jul 9, 2023

Very nice and clearly explained the topics with practical examples.

ES

4.0Reviewed Apr 20, 2021

An excellent introductory course for data understanding and analysis, I would advice to simplify the related readings to be more clear.

MG

5.0Reviewed Jun 5, 2022

Nice and well paced review of statistical basics.

HX

4.0Reviewed Oct 6, 2023

Very useful course and clear instructions. Great doc supplementary, but it's usually a long doc which requires more time to complete.

NA

5.0Reviewed Apr 4, 2021

This course explains basic statistical data analysis and research methodology in a really easy, understandable, relatable, and intuitive manner.

LL

4.0Reviewed Jun 20, 2022

Good general overview of data description, different ways of reading/presenting data sets.

HO

4.0Reviewed Jul 29, 2023

it was very helpful as it provided me with general idea on how to analyze and interpret data

All reviews

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