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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: 2,331
Рецензии: 306

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

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:

176–200 из 302 отзывов о курсе Managing Data Analysis

автор: Christopher S

Sep 18, 2017

Great course!

автор: Rupesh L

May 21, 2017

Good overview

автор: Ryan V

May 22, 2016

Great course.

автор: Parkash B

Feb 05, 2017

Good course.

автор: Pablo A L

Feb 08, 2016

Magnificent!

автор: Juan D B C

Dec 19, 2019

Excellent!

автор: Mauricio L

Jun 18, 2019

Fantastic!

автор: Hector R C C

Mar 16, 2019

thank you!

автор: frank b

Jun 05, 2017

excellent!

автор: Wallace O

Mar 27, 2017

I liked it

автор: NAVIN B

Oct 21, 2016

Excellent!

автор: Katarzyna P

Dec 08, 2015

excellent!

автор: Prasenjit P

Aug 08, 2018

Superb!!!

автор: Kim K R

Dec 07, 2018

A

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автор: Ajayi I M

Feb 27, 2019

Awesome

автор: mansi g

Oct 30, 2018

superb

автор: 龚子轩

Jul 07, 2018

课程长度适中

автор: Ghazanfar

Dec 01, 2017

Excell

автор: Federico C

May 07, 2017

Great!

автор: Bauyrzhan S

Jun 12, 2018

Good!

автор: Dhiraj K

Aug 20, 2019

g

o

o

d

автор: ALAA A A

Jan 11, 2018

good

автор: Manas K K

Dec 31, 2017

V

автор: Dristy C

Oct 07, 2017

C

автор: Kevin M

Mar 25, 2020

Solid process overview of managing a data analysis project.

Overall a straightforward course and the length/depth is appropriate for the course objectives.

Some of the material is entry level management and experienced managers can judge how best to consume the course

The course does not directly cover supervised / unsupervised learning but refers to association and prediction. There is no mention of cross-validation data sets, F1, precision, or recall as "measures" for evaluating the formal models.

The EDA section could be bolstered by mentioning feature scaling as part of the exploratory data analysis. There is no direct mention of cluster analysis, k-means, PCA, or similar tools that may be applicable to EDA.