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Вернуться к Managing Data Analysis

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

Оценки: 3,014
Рецензии: 424

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

Лучшие рецензии

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.

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:

76–100 из 419 отзывов о курсе Managing Data Analysis

автор: Robert W

24 нояб. 2017 г.

This course has a lot of great content. It's important to do the reading in addition to watching the videos.

автор: Nicholas A F

17 авг. 2018 г.

This was a great introduction to Data Analysis. The lectures were engaging as well as the reading material.

автор: Maheedhar B J

24 февр. 2018 г.

Ideal introductory course for experienced people before they deep dive into specific courses in analytics..

автор: S.D. V

17 янв. 2021 г.

Provides good insight into data analysis , through different models , which will help in decision making

автор: Geetha R

11 июня 2019 г.

Lot of information, helpful for each and every step of data analysis. Very well explained with examples.

автор: Claudia Z

25 июня 2017 г.

Great course and the instructor is awesome, he knows how to teach because all the quizzes made me think.

автор: Wladimir R

9 сент. 2018 г.

Teachers, Content and knowledge is amazing valuable for my professional development. Highly recommended

автор: Elton K

14 дек. 2018 г.

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

автор: Dana

25 окт. 2017 г.

I really enjoyed this course, and it helped me to understand some concepts I wasn't sure of before.

автор: Melissa L

3 окт. 2020 г.

Just the right method of presentation to succinctly educate students like me. Thank you very much!

автор: Setia B

3 дек. 2017 г.

This course is amazing. I learn a lot about exploratory data analysis and data science in general.

автор: Maria E V

27 сент. 2020 г.

Meaningful and engaging videos and information to know and learn about Managing Data Analysis. :)

автор: Marguerite P

18 июня 2016 г.

Really a very well-done course that has helped me take strides in understanding the EDA approach!

автор: Emilio G

29 окт. 2018 г.

Great content and videos, definitely worth the time and improved my knowledge in data science.

автор: Lisa K

16 мая 2016 г.

good course. starts well and is overall very informative. thank you for offering us this info!

автор: Fetty F L

20 июля 2020 г.

I love this course. It makes me gain new knowledge with simple cases that easy to understand.

автор: Ayna M

9 янв. 2018 г.

Super-fun and very practical, especially loved the companion book, the Art of Data Science.

автор: Clifton d L

4 дек. 2017 г.

I found it useful to dig in to concepts of how to ask good questions and evaluate models.

автор: Sujata R

31 окт. 2016 г.

Excellent course. Extremely useful in the workplace.A must for all Data Science managers.

автор: Christos R

10 янв. 2020 г.

Good overview with practical tips helpful in daily work for managing data science teams

автор: Gabriela E L M

24 дек. 2016 г.

Interesting content, analytic points of view that we often forget in the daily routine.

автор: Francisco

13 июня 2020 г.

Very good course with excelent reading summaries and adequate feedback in the quizzes.

автор: Gustavo V

7 апр. 2019 г.

Very usefull course to have a high level view of a data analysis assignment or project

автор: Joseph S

16 июля 2017 г.

Very detailed and extremely helpful in my current role in leading a Data Science Team.

автор: Abdul W

5 дек. 2017 г.

Thanks to worthy Instructors and teachers to taught us and for designing this course.