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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:

101 - 生活中的数据科学 的 125 個評論(共 279 個)

創建者 Silvia T

2018年5月3日

Another fantastic course in the series.

創建者 Dr N B T

2020年5月20日

Very interesting and informative class

創建者 José B A F

2018年2月12日

I learned everything I hoped to learn

創建者 Mike B

2017年12月27日

Great course with excellent examples.

創建者 Ubirajara A T S

2016年1月23日

Very interesting course, I recommend!

創建者 Leonardo J T G

2018年4月17日

very interesting, nice examples !!!!

創建者 Mohammed I M

2021年11月23日

Excellent presentation by Brian. <3

創建者 wonjai c

2020年8月24日

Very good for my project management

創建者 Ashish P

2020年7月9日

Amazing and very practical course..

創建者 Jocelyn D

2018年9月8日

Excellent course! Very interesting!

創建者 Asif J

2017年3月27日

this course gave good foundation.

創建者 LEE S B

2017年3月22日

Thanks for the awesome content!!!

創建者 Priyanka F P

2019年4月14日

Excellent technical information!

創建者 Ben T

2016年12月28日

Highly educative and recommended

創建者 MAYETTE A S

2020年9月27日

Good explanations on the topics

創建者 Georgios P

2019年5月6日

Very good introductory topics!

創建者 Humbert S

2017年5月1日

Great course, great teachers!

創建者 Anna C C

2021年3月7日

Very useful and interesting!

創建者 Timothy D

2020年9月18日

Interesting and informitive/

創建者 Maximilian L

2020年5月24日

Very good & hands-on course!

創建者 austin v v

2018年4月24日

Another great lesson series.

創建者 龚子轩

2018年6月28日

I really enjoy this class!

創建者 Ratnapratim C

2020年5月16日

I enjoyed it Great course

創建者 Gabriel U U

2018年5月25日

Great Learning experience

創建者 Moira C T

2017年7月10日

The course is very useful