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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: 2,328
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:

251–275 из 301 отзывов о курсе Managing Data Analysis

автор: SANTOSH K R

Jan 07, 2017

Need more examples and real world scenarios

автор: bruce b

Dec 29, 2016

good insights and foundation for a manager

автор: Marek N

Sep 07, 2016

Good learning of data analysis principles.

автор: ELINGUI P U

Nov 04, 2018

Very informative, but not easy to follow.

автор: Terry L

Oct 25, 2016

Good overview of the steps and processes

автор: Niels v G

Feb 08, 2016

Nice course on what the most important

автор: Ye M Z

Oct 25, 2019

This course is interesting and good.

автор: Clara A R

Dec 26, 2018

I really liked the course structure

автор: Md. R K

Dec 21, 2018

A bit clumsy at inference chapter.

автор: Jocelyn D

Sep 08, 2018

Interesting and very informative!

автор: Baris T

Oct 21, 2016

well-defined process overview

автор: Marcelo B

Mar 05, 2017

Great course, thanks Roger

автор: Alok B

Aug 05, 2018

Need some project work

автор: Amit J

May 14, 2019

Good communication

автор: Angel S

Jan 13, 2016

Interesting course

автор: Acini G T

Nov 16, 2015

wonderful course

автор: Rudy d P

Oct 14, 2018

very insightful

автор: Kalpana I

Oct 31, 2016

Excellent!

автор: SATISH R

Jun 02, 2017

excellent

автор: Lacour

Mar 03, 2017

clear an

автор: tan

Nov 09, 2016

good

автор: Nidhi G

Jan 06, 2016

C

автор: Siddharth M

Mar 26, 2017

The course was very informative but the slides were a little boring. The content could have been more engaging. Sometimes the supplementary reading contained examples that could have been better explained in a video. I would have appreciate a more comprehensive explanation of content on slides using markers or pointers. Sometimes I did not know where I needed to focus. I hope the instructors create more videos for the same content. This is may be because I am more of a visual or an engaged learner.

автор: Hana P

Jul 21, 2019

If only the course lasted a little bit longer... for those who wish to complete the course as soon as possible, this is the course you should take otherwise i personally find it hard to get the idea of what really "managing data analysis" means other than its basic concepts and models/ trends etc.

автор: Augustina R

Dec 29, 2016

Content could have been boiled down to about 3 lectures. Most of it was common sense. The high level over view of the life cycle of data analysis projects was interesting and overall this was a good introduction to the field.