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返回到 生活中的数据科学

学生对 约翰霍普金斯大学 提供的 生活中的数据科学 的评价和反馈

2,082 个评分
249 条评论


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: Course cover image by Jonathan Gross. Creative Commons BY-ND
Statistics review
(44 条评论)



Aug 20, 2017

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.


Nov 12, 2017

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.


101 - 生活中的数据科学 的 125 个评论(共 248 个)

创建者 Ben T

Dec 28, 2016

Highly educative and recommended


Sep 27, 2020

Good explanations on the topics

创建者 Georgios P

May 06, 2019

Very good introductory topics!


May 01, 2017

Great course, great teachers!

创建者 Timothy D

Sep 18, 2020

Interesting and informitive/

创建者 Maximilian L

May 24, 2020

Very good & hands-on course!

创建者 austin v v

Apr 24, 2018

Another great lesson series.

创建者 龚子轩

Jun 28, 2018

I really enjoy this class!

创建者 Ratnapratim C

May 16, 2020

I enjoyed it Great course

创建者 Gabriel U U

May 26, 2018

Great Learning experience

创建者 Moira C T

Jul 10, 2017

The course is very useful

创建者 Claudia Z

Aug 20, 2017

Was great!!! love it ;)

创建者 Rayees A L

Jul 17, 2020

Great fully satisfied

创建者 John E

Dec 11, 2017

Very helpful overview


Sep 23, 2020

This subject is good

创建者 yashwanth k A R

Jul 11, 2020

the tutor was great

创建者 Albino C

May 10, 2020

Just excellent !!!

创建者 Terry L J

Jun 30, 2017

Good information.

创建者 Col S S

May 28, 2020

excellent course

创建者 Khalid M F

Mar 12, 2017

very nice course

创建者 Kim K R

Dec 23, 2018


创建者 sagar s

Oct 03, 2017

It's too good!.

创建者 David G

Dec 14, 2016

Nice course thx

创建者 Manish K

Jul 04, 2020

Nice course :)

创建者 Kayal V

Jun 08, 2020

Really Awesome