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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

4.4
1,620 个评分
187 个审阅

课程概述

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 个审阅)

热门审阅

SM

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.

ES

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.

筛选依据:

1 - 生活中的数据科学 的 25 个评论(共 186 个)

创建者 Liping L

Jan 29, 2019

This is a recommended course where you understand what are the requirements for a data engineer, data manager and data scientis

创建者 Ng T C

Jan 27, 2019

Good learning

创建者 Alzum S M

Jan 20, 2019

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

创建者 Elton K

Dec 14, 2018

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

创建者 BAHAR A

Feb 24, 2019

It is a helpful course about a statistical area. I recommend it.

创建者 Hector R C C

Mar 17, 2019

thanks!

创建者 Jason G

Mar 18, 2019

Very informative and a good introduction into the aspects faced while doing Data Science!

创建者 Kim K R

Dec 23, 2018

GREAT COURSE!!!

创建者 pietbartolo

Apr 12, 2019

Very useful course! I really enjoyed the technical not so much the statistical part of the course.

创建者 Ubirajara A T S

Jan 23, 2016

Very interesting course, I recommend!

创建者 Sudheer M

Aug 24, 2017

good insights into the approach we should pursue

创建者 Khalid M F

Mar 12, 2017

very nice course

创建者 Reto W

Jul 03, 2016

Good Presentation; informative & engaging

创建者 olive

Sep 27, 2016

Excellent experience - I cant wait for the capstone project.

创建者 Sateesh K R

Mar 11, 2016

Excellent overview course on Data Science

创建者 tommy c

May 23, 2016

great for existence human and android based life-form simulation internal lifestyle...

The course improves life within the simulation 10 fold at least(when combined with the other specialization courses) ...

Perfect learning tool for those who have worked professionally in research field sin our simulation and yet now have a touch of "the turrings" or you know : CBI...

Special thanks to the designers of the course.

Top scores for coursera.org &John Hopkins ...

创建者 Jan R

Mar 28, 2016

Excellent course! The only thing I would say is that many managers from the corporate field simply would find it too "academic". But this was a huge plus for me - and I think the course will serve extremely well also to anyone who works in academic research and has to handle some real-life data.

创建者 HYUN K

Mar 13, 2017

This class was bit more difficult than the previous ones and it requires really focused attention on understanding the subject matter. The course is intended to improve your understanding in subjects of surrogate variables, and how to become a better database manager. Excellent course!

创建者 Joseph G

Dec 29, 2016

The other courses in the exec series are a little simple. This started to address some core analysis issues and how to address them in a real life situation. A good reminder and thought provoker on what should be trying to do within the enterprise

创建者 Gabriela E L M

May 08, 2017

Very punctual practical and applicable information about do's and don'ts for DS projects.

创建者 william K

Jan 04, 2017

Excellent course. The material is good enough that will help me where to look for information, considerations, a

创建者 Joseph S

Aug 01, 2017

Excellent presentation. Very practical and relevant.

创建者 Felix E R P

Jun 15, 2016

Good review on how to work and interact with the team during the data analysis pipeline!

创建者 Michael A L

Mar 31, 2018

An excellent overview of the topic material without a lot of unnecessary clutter. Well-organized and -communicated. Kudos.

创建者 Peter E

Mar 12, 2017

Brian Caffo does a terrific job teaching some of more advanced material, I very much appreciate his jokes and humor, as well as his helpful explanations of the material.