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

4.6
stars
3,330 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

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.

ST

Nov 22, 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

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376 - 400 of 468 Reviews for Managing Data Analysis

By Michel G

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Jan 6, 2019

Would be great to have a little more time on how to interpret the charts.

By Ricardo W

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Jun 24, 2020

Buen curso, explicito y directo en la parte blanda del manejo de datos.

By Andrea T

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Sep 7, 2021

The course was easy to follow and the concepts were clearly presented.

By Chenyu L

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Nov 30, 2015

very informative in general framework of data analysis, very helpful!

By Jeffrey G

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Jan 7, 2021

Excellent presentation and examples for novices to this discipline.

By VAIBHAV A J

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Jun 7, 2020

The course is very well managed and paced over the entire duration.

By Mohammad H

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Nov 21, 2015

Everything is good except the duration. It could be of three weeks.

By Carolina D

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Jan 5, 2021

A good high level but would have liked to go deeper on some topics

By Seyey C

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Sep 10, 2016

Very good... very important...

Maybe too fast for a single week...

By SARMAD H

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Aug 1, 2020

Nice course to understand basics of managing data analysis

By Vedat G

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Jun 11, 2020

There may be more visual content to explain the process

By Aninda C

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Apr 8, 2017

Very Good.

Faculty's speed of presentation is too fast

By rafael b c

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Dec 17, 2015

Very good start to my carrer in the data science field!

By Rajeev R

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Jan 7, 2021

The questions were easier than the course content.

By Ashutosh k

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Jul 30, 2020

This is wonderfull course and very helpful ,Thanks

By Hemchand H

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Nov 6, 2020

Great information and knowledge building capacity

By hoovenpa

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Jan 4, 2017

Useful overview for managers with helpful tips.

By Brenden M

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Apr 21, 2019

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By Brian N

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Apr 10, 2018

Good for introduction in Data Science Process

By Muhd A

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Oct 28, 2018

Thnak you very much for such a good content.

By Frederic B

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Aug 29, 2017

Very good as going deeper into the details.

By SANTOSH K R

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Jan 7, 2017

Need more examples and real world scenarios

By bruce b

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Dec 29, 2016

good insights and foundation for a manager

By Marek N

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Sep 7, 2016

Good learning of data analysis principles.

By Abdullah G A

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Jul 12, 2020

very long course need to revisit timeline