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学生对 Johns Hopkins University 提供的 Data Science in Real Life 的评价和反馈

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2,383 个评分

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 条评论）

热门审阅

LW

Aug 20, 2020

Slightly difficult for non data science background people, but is manageable to have a dip into this course and stimulate a "real life" experiences shared by course insructor.

KL

Aug 12, 2016

Is good to have some data science background to enroll in this course, overall still good to learn and get the hint of how real life data scientist life is.

筛选依据：

151 - Data Science in Real Life 的 175 个评论（共 291 个）

创建者 Odemir D J

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Jul 22, 2021

very good!

创建者 Ellen W

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Aug 6, 2017

Excellent!

创建者 Pablo A L

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Feb 8, 2016

Marvelous!

创建者 Jinky D G

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Dec 13, 2021

Thank you

创建者 Flt L G R

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Jul 22, 2020

THANKS...

创建者 DR. S T C

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Jul 14, 2020

Excellent

创建者 Mohammad S H S

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Jun 19, 2020

Thank you

创建者 wladimir r

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Sep 30, 2018

Excellent

创建者 Ahmed T

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Apr 24, 2017

Excellent

创建者 Ivini F P S

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Jul 11, 2023

so good

创建者 Reiner P

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May 30, 2020

Perfect

创建者 David C

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May 7, 2020

awesome

创建者 Chander W

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Nov 10, 2019

Amazing

创建者 Raul C C

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Mar 17, 2019

thanks!

创建者 Bauyrzhan S

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Jun 13, 2018

Perfect

创建者 hossam m

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Dec 2, 2020

Thanks

创建者 KIBSON A D ( G - O A D

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Dec 7, 2025

goood

创建者 Mathew G

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Aug 15, 2020

great

创建者 DR. M E

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Apr 27, 2020

good

创建者 ALAA A A

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Jan 11, 2018

good

创建者 Dr V G

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Jul 21, 2020

OK

创建者 Yousef N M A ( O - G A

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May 25, 2025

.

创建者 Augustina

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Dec 29, 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.

创建者 Clifton d L

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Dec 5, 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.

创建者 suman c

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Mar 4, 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.