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Learner Reviews & Feedback for Data – What It Is, What We Can Do With It by Johns Hopkins University

4.6
stars
151 ratings

About the Course

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....

Top reviews

NA

Apr 4, 2021

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

HK

Jul 9, 2023

Very nice and clearly explained the topics with practical examples.

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26 - 43 of 43 Reviews for Data – What It Is, What We Can Do With It

By Renee

May 25, 2021

A nice introduction. The use of the Introductory Statistics textbook was good and I've earmarked it for future reference; a couple of the blog reading choices about graph types could be updated. Looking forward to the next course in this specialization.

By Aimee K

Jun 18, 2023

A great intro to the foundations of data analysis and visualization. I wish there were some more practice problems to work through but I really enjoyed the course and am looking forward to the next in the specialization.

By Eman S

Apr 21, 2021

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

By huanru x

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.

By Rob K

Jan 19, 2022

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

By Titir D S J

Jul 30, 2022

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

By Danyi W

Feb 16, 2023

professor has clarified all the contents, but those graphs are hard to remember when not using them.

By Hadeel O

Jul 30, 2023

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

By Lisa L

Jun 20, 2022

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

By Rikiraj M

Apr 20, 2023

Good lesion

By Bhavesh M R

Oct 2, 2023

good

By Sujit K N

Apr 22, 2023

Good

By Maria S

Mar 29, 2021

This is a very clearly presented and well-prepared course. Some of the readings are much too advanced compared to the content of the videos and the quizzes. The course could use a little character.

By Ketul S

Aug 11, 2021

i am not able to unenroll this course, so how can i do unenroll ?

By Mervat M

Feb 27, 2021

Topics covered not properly integrated. Course seems a collection of topics from other courses, Highly dissatisfied.

Readings of week one was not very helpful.

By Nicole C

Sep 18, 2023

The course was quite hard to understand. But the reading material was good.

By Chandrakant B

Mar 7, 2021

Without my permission money has been deducted, looters

By mohammad

Jan 31, 2021

boring and like a machine recorded text to speech