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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: 2,930
Рецензии: 411

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:

151–175 из 406 отзывов о курсе Managing Data Analysis

автор: Liz A d S B

4 янв. 2017 г.

My favorite course from the Specialization until now.

автор: Masixole B M

26 окт. 2020 г.

It has the best content and the quiz aren’t that bad

автор: Jennifer L D

27 сент. 2015 г.

A brisk and effective introduction to data analysis!

автор: Lorenz F

29 янв. 2018 г.

Great introduction to the process of data analysis!

автор: Ramkumar

29 июня 2017 г.

Outstanding course. The lecturer made it very easy

автор: claudio

26 сент. 2016 г.

Very good balance between content and presentation

автор: Nachum S

12 июля 2018 г.

Excellent content, well explained, good use cases

автор: Gayatri A

14 июля 2017 г.

Amazing course . Must for all data professionals.

автор: Siddhartha S

5 апр. 2017 г.

Crisply covered critical aspects of Data Analysis

автор: Hyejin C

3 окт. 2015 г.

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

автор: RODRIGO E P M

4 сент. 2020 г.

An excellent course. It met all my expectations.

автор: Rhodes B

7 сент. 2016 г.

Best course in the specialization - thanks team!

автор: Bishooka M

5 нояб. 2020 г.

It was an amazing course. I have learned a lot.

автор: Michael F

18 янв. 2018 г.

excellent easy to follow explainations, thanks!

автор: Kristin C

11 сент. 2018 г.

Really liked Roger's enthusiasm for the topic!

автор: Ubirajara A T S

22 дек. 2015 г.

Very good and interesting course, I recommend!

автор: Francesco

3 июля 2019 г.

A complete overview in managing data analysis

автор: David S

1 нояб. 2017 г.

Great course about the data analysis process!

автор: RON R C

20 окт. 2015 г.

Great Discussions from Managing Data Analysis

автор: Juana

26 янв. 2020 г.

It is very clearly constructed and helpful.

автор: WILLIAM E A

5 мар. 2019 г.

Não encontrei onde baixar o certificado ...

автор: Ning Z L

28 мар. 2016 г.

Want to learn more detail of data analysis.

автор: Ahmad M

10 окт. 2020 г.

thank you for the data science information

автор: Amirtha v P

27 апр. 2020 г.

I agree that this course is more valusble

автор: Andrew R

30 окт. 2017 г.

Excellent course with good level of depth.