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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:

251 - 生活中的数据科学 的 275 個評論(共 279 個)

創建者 Amal L C

2017年3月16日

It was quite hard with all the statistical jargon. Too much theory.

創建者 Victor M R G

2021年11月1日

C​urso entretenido, aunque algo ligero en la parte conceptual.

創建者 Poon F

2018年1月30日

This class has more useful materials than previous ones.

創建者 Manas B

2016年5月10日

Relevant materials, but lecture delivery is rather dry,

創建者 Matej K

2018年5月1日

Sometimes it was hard to understand what's going on.

創建者 Angelina

2019年4月2日

The material is too long and boring.

創建者 Weihua W

2016年1月18日

Too short, too expensive.

創建者 Tamara G

2020年6月7日

Technical vocabulary

創建者 Yuvaraj B

2017年12月26日

Very Good Content

創建者 Mohammed R

2020年8月5日

Good

創建者 Francisco

2020年6月21日

The lecturer seems afraid of the camera and the feedback on the quizzes should be better. Also, the summary readings should have all the information in the presentations, so you can check up everything more easily in one place.

創建者 Aline O

2019年7月17日

This course for me was the most difficult to understand. Using as example situations with health area was hard to understand how I can apply in my case. But in general, the other courses were very nice for me.

創建者 Jean-Gabriel P

2017年8月10日

OK content but delivery could be better. Also poor value for money (you pay 49$ for a course you can finish in a few days) versus other Coursera courses that get you much more bang for your buck.

創建者 UMUT R A

2020年6月20日

worst course in executive data science specialization, hard to understand concept. specific examples on health researchs are not common to understand

創建者 Karun T

2017年2月28日

The content was redundant at times, at other the dots that were trying to be connected were to wide apart on the spectrum

創建者 Massimiliano T A

2020年12月31日

I expected this course to be more practical and with more business example

創建者 Marcelo H G

2017年7月29日

It is good but demands statistics and some knowledge in research area.

創建者 Julià D A

2017年6月13日

Too qualitative, I would had liked some hands-on examples.

創建者 Shafeeq I

2019年1月8日

Not that engaging content.Too much theoretical approach.

創建者 Peter P

2016年6月20日

Too much focus on technicalities - not management based.

創建者 Hiteshwar G

2018年1月5日

The content and examples seem irrelevant.

創建者 Varun M

2016年9月19日

very boring videos.

創建者 GIacomo V

2016年2月28日

The course tests are at times partially unrelated to the content of the lessons. In the test of Lesson 7 we are asked if removing jargon from an analysis makes the analysis clearer. This is never mentioned in the course.

The question does not have a unique yes/no solution. It depends on the context, in particular on the audience of the analysis and report. If I'm talking to technical people who knows a lot about the topic jargon can be useful, on the other hand if jargon is not documented it can be confusing.

How are we supposed to know this?

This is just one example, but all the courses of the EDS specialisation had these issues. I don't know if it is a language barrier or what but I feel that I didn't have a chance to study more to get a better score. You either happen to have the same idea of the teacher or you don't, and this is not professional.

創建者 Kevin K

2020年6月12日

The course content is good, but there were no instructions how to complete the capstone in order to obtain a certifiate. This was really disappointing after completing the course work. Eventually, I just stopped my subscription.

創建者 Deleted A

2016年8月10日

Was expecting soo much more from the entire courses. Not a single practical part, soo much talk and write.

Sorry would not share the course with friends, 190€ is too much for what I have just learned.