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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

2,314 个评分


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.


101 - 生活中的数据科学 的 125 个评论(共 280 个)

创建者 Silvia T

May 3, 2018

Another fantastic course in the series.

创建者 Dr N B T

May 20, 2020

Very interesting and informative class

创建者 José B A F

Feb 12, 2018

I learned everything I hoped to learn

创建者 Michael B

Dec 27, 2017

Great course with excellent examples.

创建者 Ubirajara A T S

Jan 23, 2016

Very interesting course, I recommend!

创建者 Leonardo J T G

Apr 17, 2018

very interesting, nice examples !!!!

创建者 Mohammed I M

Nov 23, 2021

Excellent presentation by Brian. <3

创建者 wonjai c

Aug 24, 2020

Very good for my project management

创建者 Ashish P

Jul 9, 2020

Amazing and very practical course..

创建者 Jocelyn D

Sep 8, 2018

Excellent course! Very interesting!

创建者 Asif J

Mar 27, 2017

this course gave good foundation.

创建者 LEE S B

Mar 22, 2017

Thanks for the awesome content!!!

创建者 Priyanka F P

Apr 14, 2019

Excellent technical information!

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 6, 2019

Very good introductory topics!

创建者 Humbert S

May 1, 2017

Great course, great teachers!

创建者 Anna C C

Mar 7, 2021

Very useful and interesting!

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


May 25, 2018

Great Learning experience

创建者 Moira C T

Jul 10, 2017

The course is very useful