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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

2,238 个评分
269 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 19, 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 11, 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.


126 - 生活中的数据科学 的 150 个评论(共 268 个)

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

Dec 22, 2018


创建者 sagar s

Oct 3, 2017

It's too good!.

创建者 David G

Dec 14, 2016

Nice course thx

创建者 Manish K

Jul 4, 2020

Nice course :)

创建者 Kayal V

Jun 8, 2020

Really Awesome

创建者 Gerwin N B

Aug 18, 2020

Great course!

创建者 Ng T C

Jan 27, 2019

Good learning

创建者 Mario L

May 6, 2018


创建者 ellen w

Aug 6, 2017


创建者 Pablo A L

Feb 8, 2016


创建者 Flt L G R

Jul 22, 2020


创建者 DR. S T C

Jul 14, 2020


创建者 Mohammad S H S

Jun 19, 2020

Thank you

创建者 Wladimir R

Sep 30, 2018


创建者 Ahmed T

Apr 24, 2017


创建者 Reiner P

May 30, 2020


创建者 David C

May 7, 2020


创建者 Chander W

Nov 10, 2019


创建者 Hector R C C

Mar 17, 2019


创建者 Bauyrzhan S

Jun 13, 2018



Dec 2, 2020