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Вернуться к Managing Data Analysis

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

4.6
звезд
Оценки: 2,879
Рецензии: 404

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 https://flic.kr/p/4HjmvD...
Основные моменты
Helpful quizzes
(рецензий: 3)
Well-organized content
(рецензий: 24)

Лучшие рецензии

EL

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.

ST

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:

151–175 из 399 отзывов о курсе Managing Data Analysis

автор: Lorenz F

Jan 29, 2018

Great introduction to the process of data analysis!

автор: Ramkumar

Jun 29, 2017

Outstanding course. The lecturer made it very easy

автор: claudio

Sep 26, 2016

Very good balance between content and presentation

автор: Nachum S

Jul 12, 2018

Excellent content, well explained, good use cases

автор: Gayatri A

Jul 14, 2017

Amazing course . Must for all data professionals.

автор: Siddhartha S

Apr 05, 2017

Crisply covered critical aspects of Data Analysis

автор: Hyejin C

Oct 04, 2015

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

автор: RODRIGO E P M

Sep 05, 2020

An excellent course. It met all my expectations.

автор: Rhodes B

Sep 07, 2016

Best course in the specialization - thanks team!

автор: Michael F

Jan 18, 2018

excellent easy to follow explainations, thanks!

автор: Kristin C

Sep 11, 2018

Really liked Roger's enthusiasm for the topic!

автор: Ubirajara A T S

Dec 22, 2015

Very good and interesting course, I recommend!

автор: Francesco

Jul 03, 2019

A complete overview in managing data analysis

автор: David S

Nov 02, 2017

Great course about the data analysis process!

автор: RON R C

Oct 21, 2015

Great Discussions from Managing Data Analysis

автор: Juana

Jan 26, 2020

It is very clearly constructed and helpful.

автор: WILLIAM E A

Mar 05, 2019

Não encontrei onde baixar o certificado ...

автор: Ning Z L

Mar 28, 2016

Want to learn more detail of data analysis.

автор: Ahmad M

Oct 10, 2020

thank you for the data science information

автор: Amirtha v P

Apr 28, 2020

I agree that this course is more valusble

автор: Andrew R

Oct 31, 2017

Excellent course with good level of depth.

автор: alaa f a

Jun 18, 2020

very good course . I'm enjoy it thank you

автор: Kevin M

Jul 03, 2017

Great, most useful of the slew of courses

автор: aankitakaur

Aug 08, 2017

Its a great Course...Keep it up...Thanks

автор: jose c

Jun 11, 2019

Curso muy completo y ejemplos adecuados