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返回到 生活中的数据科学

學生對 约翰霍普金斯大学 提供的 生活中的数据科学 的評價和反饋

4.4
2,288 個評分
277 條評論

課程概述

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses. This is a focused course designed to rapidly get you up to speed on doing data science in real life. 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 “perfect” data science experience 2. Identify strengths and weaknesses in experimental designs 3. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. 4. Challenge statistical modeling assumptions and drive feedback to data analysts 5. Describe common pitfalls in communicating data analyses 6. Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians. Some key concepts being discussed include: 1. Experimental design, randomization, A/B testing 2. Causal inference, counterfactuals, 3. Strategies for managing data quality. 4. Bias and confounding 5. Contrasting machine learning versus classical statistical inference Course promo: https://www.youtube.com/watch?v=9BIYmw5wnBI Course cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb...
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Statistics review
(44 條評論)

熱門審閱

SM
2017年8月19日

A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.

ES
2017年11月11日

Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.

篩選依據:

126 - 生活中的数据科学 的 150 個評論(共 279 個)

創建者 Claudia Z

2017年8月20日

Was great!!! love it ;)

創建者 Rayees A L

2020年7月16日

Great fully satisfied

創建者 John E

2017年12月11日

Very helpful overview

創建者 Jonathan B

2020年11月22日

What a great course!

創建者 MATHUSUTHASARANAM.P

2020年9月23日

This subject is good

創建者 yashwanth k A R

2020年7月11日

the tutor was great

創建者 Albino C

2020年5月10日

Just excellent !!!

創建者 Terry L J

2017年6月30日

Good information.

創建者 Col S S

2020年5月28日

excellent course

創建者 Khalid M F

2017年3月12日

very nice course

創建者 Kim K

2018年12月22日

GREAT COURSE!!!

創建者 sagar s

2017年10月3日

It's too good!.

創建者 David G

2016年12月14日

Nice course thx

創建者 Manish K

2020年7月4日

Nice course :)

創建者 Kayal V

2020年6月8日

Really Awesome

創建者 Gerwin N B

2020年8月18日

Great course!

創建者 Ng T C

2019年1月27日

Good learning

創建者 Osmar A B V

2021年10月10日

best teacher

創建者 Peter F

2021年6月23日

Good course

創建者 Mario L

2018年5月6日

Challenging

創建者 Juniior a

2021年7月22日

very good!

創建者 ellen w

2017年8月6日

Excellent!

創建者 Pablo A L

2016年2月8日

Marvelous!

創建者 Flt L G R

2020年7月22日

THANKS...

創建者 DR. S T C

2020年7月14日

Excellent