Chevron Left
Back to Managing Data Analysis

Learner Reviews & Feedback for Managing Data Analysis by Johns Hopkins University

2,345 ratings
309 reviews

About the Course

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know how to…. 1. Describe the basic data analysis iteration 2. Identify different types of questions and translate them to specific datasets 3. Describe different types of data pulls 4. Explore datasets to determine if data are appropriate for a given question 5. Direct model building efforts in common data analyses 6. Interpret the results from common data analyses 7. Integrate statistical findings to form coherent data analysis presentations Commitment: 1 week of study, 4-6 hours Course cover image by fdecomite. Creative Commons BY
Helpful quizzes
(3 Reviews)
Well-organized content
(24 Reviews)

Top reviews


Mar 01, 2017

A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.


Nov 23, 2016

The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for

Filter by:

101 - 125 of 304 Reviews for Managing Data Analysis

By Jasdeep S W

Jun 14, 2018

The course helps understand the fundamentals of Data Analysis

By Sergey V

Feb 14, 2018

I'm feeling the I need some practice to acquire the knowledge

By Chris B

Apr 22, 2017

Great overview of the issues we face on analytic projects.

By Manjunatha V M

Dec 31, 2016

Very nice flow of concepts, good explanation and examples.

By 朱艳梅

Dec 04, 2015

For learn method and idea about data analysis ,it is good.

By Kalvin L

Dec 06, 2018

Very good online learning course regarding Data Analysis

By austin v v

Apr 24, 2018

Another fantastic leg of this course. Clear and precise.


Mar 04, 2018

Best explanation methodology followed. Best Experience !

By Muhire I

Sep 30, 2018

Great course and the materials and the tutors are great

By Miaojun Z

Oct 20, 2015

Great instructor and helpful course materials! 5 stars!

By Alberto D E

May 14, 2018

Just the right depth for a Data Science team manager.

By Liz A d S B

Jan 04, 2017

My favorite course from the Specialization until now.

By Jennifer L D

Sep 27, 2015

A brisk and effective introduction to data analysis!

By Lorenz F

Jan 29, 2018

Great introduction to the process of data analysis!

By Ramkumar

Jun 29, 2017

Outstanding course. The lecturer made it very easy

By claudio

Sep 26, 2016

Very good balance between content and presentation

By Nachum S

Jul 12, 2018

Excellent content, well explained, good use cases

By Gayatri A

Jul 14, 2017

Amazing course . Must for all data professionals.

By Siddhartha S

Apr 05, 2017

Crisply covered critical aspects of Data Analysis

By Hyejin C

Oct 04, 2015

I just love JHU courses. Well-organized and made.

By Rhodes B

Sep 07, 2016

Best course in the specialization - thanks team!

By Michael F

Jan 18, 2018

excellent easy to follow explainations, thanks!

By Kristin C

Sep 11, 2018

Really liked Roger's enthusiasm for the topic!

By Ubirajara A T S

Dec 22, 2015

Very good and interesting course, I recommend!

By Francesco

Jul 03, 2019

A complete overview in managing data analysis