Chevron Left
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

4.4
1,653 个评分
189 条评论

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...
突出显示
Statistics review
(44 条评论)

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:

26 - 生活中的数据科学 的 50 个评论(共 188 个)

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 Alberto D E

May 14, 2018

A crash course on what can go wrong in real Data Science projects, and how to improve your chances of success.

创建者 Ryan M S

Nov 10, 2019

I found this course to be the most enjoyable and knowledge benefiting of all the courses I've taken thus far.

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 Matthias L

Aug 27, 2017

This is very useful and a good primer on what to look out for when working in real life. Well done!

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 Paul S

Jan 28, 2017

Helpful tips for handling problems during the several life cycle stages of a Data Science project.

创建者 Mauricio L

Jun 22, 2019

Great course. It delivers a fantastic framework to assess the process of successful Data Science.

创建者 Ayna M

Dec 13, 2017

Loved all the examples to explain the terms like confounding, blocking, surrogate variables etc.

创建者 Abid C

Jul 10, 2017

It is not easy to make experience fell like "a simple" course, congratulation and thank-you .

创建者 Ramkumar

Jul 01, 2017

This course was really good. Good articulation on randomization and why we do randomization.

创建者 Christos G

Sep 01, 2017

Smartly selected topics for an executive course. Well balanced between theory and examples.

创建者 Iuri V d J Q

Mar 08, 2016

Awesome feedback on real life situations where i managed to pass through on my current job.

创建者 vikas k

Apr 27, 2016

This is really a very nice course for learning data science in solving real life problems.

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 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 Paul H

Jan 04, 2017

Lots of useful tips. Great overview spanning data science pitfalls. Impressively concise.

创建者 Antonio P L

Dec 31, 2016

Fantastic Course for people who want to know the details to do great analysis and reports

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 周宁 N Z L

Mar 28, 2016

Practical using the data science in real life, a lot of extending learning.

创建者 ANDREA G F

Aug 15, 2017

great comparison between ideal data results and what happens in real life

创建者 Vijai K S

Feb 10, 2016

Short yet nice. Gave me a lot of insights on what can and can't be done.

创建者 Omid F

May 10, 2019

Thank you very much for your excellent course.

Best Regards

Omid Faseli

创建者 Deleted A

Jul 09, 2017

Concise preview of some of the real world applications of Data Science!

创建者 Nick M

Oct 28, 2017

Great. You guys should check for typos in the written material though