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Data Science in Real Life に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Data Science in Real Life の受講者のレビューおよびフィードバック

4.4
1,823件の評価
205件のレビュー

コースについて

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...
ハイライト
Statistics review
(44件のレビュー)

人気のレビュー

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.

フィルター:

Data Science in Real Life: 101 - 125 / 205 レビュー

by Albino C

May 10, 2020

Just excellent !!!

by Terry L J

Jun 30, 2017

Good information.

by Col S S

May 28, 2020

excellent course

by Khalid M F

Mar 12, 2017

very nice course

by Kim K R

Dec 23, 2018

GREAT COURSE!!!

by SagarSrinivas

Oct 03, 2017

It's too good!.

by David G

Dec 14, 2016

Nice course thx

by Ng T C

Jan 27, 2019

Good learning

by MARIO L

May 06, 2018

Challenging

by ellen w

Aug 07, 2017

Excellent!

by Pablo A L

Feb 08, 2016

Marvelous!

by Wladimir R

Sep 30, 2018

Excellent

by Ahmed T

Apr 25, 2017

Excellent

by David C

May 07, 2020

awesome

by Chander W

Nov 10, 2019

Amazing

by Hector R C C

Mar 17, 2019

thanks!

by Bauyrzhan S

Jun 13, 2018

Perfect

by DR. M E

Apr 27, 2020

good

by ALAA A A

Jan 11, 2018

good

by Augustina R

Dec 30, 2016

Some of the material here was repeated from other courses but overall I felt this was my favorite course in the series. I particularly appreciated the real life examples of what can go wrong with data collection and suggestions/best practices for how to handle that. It gave me a lot of ideas for how to deal with some uncertainties I was facing in some of my own research.

by Clifton d L

Dec 06, 2017

Great that the messy reality is acknowledged and not only the perfect theoretical data science is explained, but also the things that usually go wrong (and how to mitigate these issues).

Some of the quiz with "check multiple answers" didn't seem clear to me / I found opinionated.

by Suman C

Mar 05, 2018

Expected few more real life examples and hope to see some basics of Formal modelling. Found myself lacking in understanding the formal modelling concepts and how to arrive at the formulas.

Other than that the course helped me to get started in Data Science.

by Keuntae K

Mar 25, 2018

This is a good course, overall. Maybe providing more general examples related to the topics of the course makes this course much more useful and helpful for people who do not have any backgrounds of brain or neural systems in medical science like me.

by Humna A

Oct 30, 2018

Awesome course! the only negative thing is that all the examples are related to biostatistics. Examples related to other fields like economics, social science, psychology etc should have been included. Besides that it was a great experience

by Juan F D T

May 11, 2020

Brian makes a terrific job trying to explain in simple terms what a real life data science effort takes. Sometimes it was a little hard to understand because of how the instructor spoke but nothign hat a rewind and replay wouldn't fix.