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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

2,095 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.


76 - 生活中的数据科学 的 100 个评论(共 248 个)

创建者 Joseph S

Aug 01, 2017

Excellent presentation. Very practical and relevant.

创建者 Chris S

Jul 18, 2016

Like this one as well as the others in the series

创建者 Ajay P

Feb 21, 2016

Excellent course, material and superior teaching.

创建者 Sudheer M

Aug 24, 2017

good insights into the approach we should pursue

创建者 SJ H

Jun 14, 2020

Brian Caffo is somebody who knows how to teach.

创建者 Alzum S M

Jan 20, 2019

It's an excellent course. I have learnt a lot.

创建者 Sanketh G

Aug 02, 2017

Detailed view on how to look at real life data

创建者 Ghada

Feb 14, 2016

wonderful in all ways, I really enjoyed it!

创建者 jose c

Jun 11, 2019

Claridad del contenido entregado del curso

创建者 Yonathan M P

Jun 08, 2019

Great course!!!!! Tons of useful insights!

创建者 Reto W

Jul 03, 2016

Good Presentation; informative & engaging

创建者 Sateesh K R

Mar 11, 2016

Excellent overview course on Data Science

创建者 Cheleen

Jul 09, 2020

Its very easy and useful to oru studies

创建者 Silvia T

May 04, 2018

Another fantastic course in the series.

创建者 Dr N B T

May 21, 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 wonjai c

Aug 24, 2020

Very good for my project management

创建者 Ashish P

Jul 09, 2020

Amazing and very practical course..

创建者 Jocelyn D

Sep 08, 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!