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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: 3,001
Рецензии: 421

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
28 февр. 2017 г.

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
22 нояб. 2016 г.

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:

351–375 из 418 отзывов о курсе Managing Data Analysis

автор: Brenden M

21 апр. 2019 г.

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автор: Brian N

10 апр. 2018 г.

Good for introduction in Data Science Process

автор: Muhd A

28 окт. 2018 г.

Thnak you very much for such a good content.

автор: Frederic B

29 авг. 2017 г.

Very good as going deeper into the details.

автор: SANTOSH K R

7 янв. 2017 г.

Need more examples and real world scenarios

автор: bruce b

29 дек. 2016 г.

good insights and foundation for a manager

автор: Marek N

7 сент. 2016 г.

Good learning of data analysis principles.

автор: Abdullah G A

12 июля 2020 г.

very long course need to revisit timeline

автор: ELINGUI P U

4 нояб. 2018 г.

Very informative, but not easy to follow.

автор: Terry L

24 окт. 2016 г.

Good overview of the steps and processes

автор: Niels v G

8 февр. 2016 г.

Nice course on what the most important

автор: Ye M Z

25 окт. 2019 г.

This course is interesting and good.

автор: Clara A R

26 дек. 2018 г.

I really liked the course structure

автор: Md. R K

21 дек. 2018 г.

A bit clumsy at inference chapter.

автор: Jocelyn D

8 сент. 2018 г.

Interesting and very informative!

автор: Justice K M E

8 авг. 2020 г.

Very insightful presentations

автор: Baris T

21 окт. 2016 г.

well-defined process overview

автор: Simran

28 апр. 2020 г.

so far informational subject

автор: Marcelo B

5 мар. 2017 г.

Great course, thanks Roger

автор: Alok B

5 авг. 2018 г.

Need some project work

автор: Amit J

14 мая 2019 г.

Good communication

автор: Angel S

13 янв. 2016 г.

Interesting course

автор: Shriniwas S U

19 мая 2020 г.

Basic course.Good

автор: Acini G T

16 нояб. 2015 г.

wonderful course

автор: Rudy d P

14 окт. 2018 г.

very insightful