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

4.6
stars
3,364 ratings

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 https://flic.kr/p/4HjmvD...
Highlights
Helpful quizzes

(3 Reviews)

Well-organized content

(24 Reviews)

Top reviews

MA

Jul 20, 2017

Excellent course! Highly recommend it.Dr. Peng covers the essentials of Managing Data Analysis in a balanced way, and empowers the data science manager/executive to be able to apply these right away.

EL

Feb 28, 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.

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151 - 175 of 473 Reviews for Managing Data Analysis

By Bernhard S

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Oct 6, 2017

It is a great intro into data analysis that is not too technical.

By david g

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Nov 27, 2015

Fantastic opportunity to learn from the best.

thank you kindly!

DGH

By Peter E

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Mar 12, 2017

My favorite course in the Executive Data Science series, so far.

By Foo Y Y

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Jun 22, 2020

Very in-depth on every aspects in the process of Data Analysis.

By Dago

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Mar 9, 2019

this is a very deep reflection in Data Managing. Amazing course

By sapna a

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Oct 3, 2020

Challenging and informational. I learned a lot on this course.

By Paul F

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Jan 5, 2018

Excellent content and extraordinary presentation/communication

By SAI A R K

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Jun 9, 2020

THANK YOU FOR YOUR LECTURES AND MAKE MYSELF UPGRADE MY SKILLS

By James L

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Jun 16, 2019

The feedback in the test questions was exceptionally helpful.

By Jasdeep S W

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Jun 14, 2018

The course helps understand the fundamentals of Data Analysis

By Sergey V

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Feb 14, 2018

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

By Fong B

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Jun 30, 2025

Great Beginner Course For Understanding Data Analysis Basics

By NIKOLAI D

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Oct 19, 2024

Amazing course! Suggest to pass to all Marketing managers!

By Chris B

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Apr 22, 2017

Great overview of the issues we face on analytic projects.

By Manjunatha V M

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Dec 31, 2016

Very nice flow of concepts, good explanation and examples.

By 朱艳梅

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Dec 3, 2015

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

By Kalvin L

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Dec 5, 2018

Very good online learning course regarding Data Analysis

By austin v v

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Apr 24, 2018

Another fantastic leg of this course. Clear and precise.

By Tosif M

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Mar 4, 2018

Best explanation methodology followed. Best Experience !

By Rogelio C G

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Jul 19, 2020

Great job! the best course of the specialization so far

By Yilmaz M

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Jun 6, 2020

If you read this review. you should joined this course.

By Muhire I

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Sep 30, 2018

Great course and the materials and the tutors are great

By Miaojun Z

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Oct 20, 2015

Great instructor and helpful course materials! 5 stars!

By Alex S

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Apr 20, 2021

The examples are saviors here! Nicely done, thank you!

By Alberto D E

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May 14, 2018

Just the right depth for a Data Science team manager.