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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：

126 - Data Science in Real Life 的 150 个评论（共 291 个）

创建者 Hussain K ( G - O K

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Nov 12, 2025

Data Science in Real Life

创建者 Ratnapratim C

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May 16, 2020

I enjoyed it Great course

创建者 Gabriel U U

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May 25, 2018

Great Learning experience

创建者 Moira C T

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Jul 10, 2017

The course is very useful

创建者 Mohammad A A

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Nov 26, 2023

شكرا stc شكرا coursera.

创建者 Claudia Z

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Aug 20, 2017

Was great!!! love it ;)

创建者 Rayees A L

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Jul 16, 2020

Great fully satisfied

创建者 John E

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Dec 11, 2017

Very helpful overview

创建者 Jonathan B

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Nov 22, 2020

What a great course!

创建者 MATHUSUTHASARANAM.P

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Sep 22, 2020

This subject is good

创建者 yashwanth k A R

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Jul 11, 2020

the tutor was great

创建者 Albino C

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May 10, 2020

Just excellent !!!

创建者 Terry L J

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Jun 29, 2017

Good information.

创建者 Col S S

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May 28, 2020

excellent course

创建者 Khalid M F

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Mar 12, 2017

very nice course

创建者 K K

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Dec 22, 2018

GREAT COURSE!!!

创建者 sagar s

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Oct 3, 2017

It's too good!.

创建者 David G

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Dec 14, 2016

Nice course thx

创建者 Manish K

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Jul 4, 2020

Nice course :)

创建者 Kayal V

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Jun 7, 2020

Really Awesome

创建者 Gerwin N B

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Aug 17, 2020

Great course!

创建者 Ng T C

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Jan 27, 2019

Good learning

创建者 Osmar A B V

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Oct 10, 2021

best teacher

创建者 Peter, K M F

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Jun 22, 2021

Good course

创建者 Mario L

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May 6, 2018

Challenging