Chevron Left
Вернуться к Managing Data Analysis

Отзывы учащихся о курсе Managing Data Analysis от партнера Университет Джонса Хопкинса

Оценки: 2,198
Рецензии: 292

О курсе

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
Основные моменты
Well-organized content
(рецензий: 24)
Helpful quizzes
(рецензий: 3)

Лучшие рецензии


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

Фильтр по:

201–225 из 287 отзывов о курсе Managing Data Analysis

автор: Scott K

Oct 11, 2015

Good course for the fundamentals of making sure data analysis is done correctly. These are good things to keep in mind when you are managing a data science team.

автор: Nidhi G

Jan 06, 2016


автор: chenyu L

Dec 01, 2015

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

автор: Kalpana I

Oct 31, 2016


автор: Kian G L

Aug 12, 2016

Comprehensive overview to understand activities involved in the iterations and epicycles of Data Analysis and to manage it with correct expectation.

автор: Rorie D

Apr 18, 2016

Liked how a lot of content was covered in a small amount of time. Thought the instructor was effective in presenting the important elements of the lectures. Only issue is some typos in the quizzes that were a bit distracting.

автор: Angel S

Jan 13, 2016

Interesting course

автор: Paul H

Jan 04, 2017

Useful overview for managers with helpful tips.

автор: Sandro A

Nov 08, 2017

Great course with short digestible lessons, great lecturer with an ability to communicate technical details in a very engaging manner, and my appreciation of data analysis is better. Am glad I took this course.

автор: Luciano C

Jul 28, 2017

great course. i just thin there should be more real examples to help us to understand (for exemple types of questions), etc

автор: Vipul G

Jul 26, 2017

Good overview of the process. Helped me in bridging data analysis processes with things that I already do as part of project management or business analytics/decision support projects.

автор: Marcelo B

Mar 05, 2017

Great course, thanks Roger

автор: prasanna v

Feb 01, 2017

EDA approach and steps to analyse is excellently taught. The formal modelling take the course to a lot of depth.

автор: Acini G T

Nov 16, 2015

wonderful course

автор: Niels v G

Feb 08, 2016

Nice course on what the most important

автор: Aninda C

Apr 08, 2017

Very Good.

Faculty's speed of presentation is too fast

автор: Baris T

Oct 21, 2016

well-defined process overview

автор: Siddharth T

Apr 03, 2016

The content is covered in great depth in this course but pre-reads may help as the course moves up a few notches in technical content.

автор: tan

Nov 09, 2016


автор: Anqi Z

Aug 14, 2017

Very practical lecture. Ideal for pre-project preparation and progress control.

автор: Abhi k

Dec 08, 2015

If you can make the assignments nearer to the real world scenario and a little more detailed explanations for some parts, it would be great!


Jan 06, 2018

Super and Really very Technical. It is One of the most important with this Specialization. I give the effect 87%

автор: SANTOSH K R

Jan 07, 2017

Need more examples and real world scenarios

автор: Triste R S

Feb 08, 2017

It was very informative. The instructor needs to slow down just a little though, I could tell he's a little nervous speaking to "large groups". Otherwise, it was great. I'm from BAWA and I am familiar with and love JHU, so I support any great course coming from there.

автор: Jason C

Jul 10, 2016

I would have preferred that the course and/or accompanying textbook contain examples of templates used to manage data analysis.