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Learner Reviews & Feedback for Data Science in Real Life by Johns Hopkins University

4.5
stars
2,379 ratings

About the Course

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...
Highlights
Statistics review

(44 Reviews)

Top reviews

CB

Jan 11, 2021

Helpful ideas to consider and use when managing a team of data scientists, especially helpful are the principles for dealing with on-the-ground data science work (vs ideal environments)

LW

Aug 21, 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.

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126 - 150 of 289 Reviews for Data Science in Real Life

By Ratnapratim C

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May 16, 2020

I enjoyed it Great course

By Gabriel U U

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May 26, 2018

Great Learning experience

By Moira C T

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Jul 10, 2017

The course is very useful

By Mohammad A A

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Nov 26, 2023

شكرا stc شكرا coursera.

By Claudia Z

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Aug 20, 2017

Was great!!! love it ;)

By Rayees A L

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Jul 17, 2020

Great fully satisfied

By John E

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Dec 11, 2017

Very helpful overview

By Jonathan B

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Nov 23, 2020

What a great course!

By MATHUSUTHASARANAM.P

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Sep 23, 2020

This subject is good

By yashwanth k A R

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Jul 11, 2020

the tutor was great

By Albino C

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May 11, 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 K K

•

Dec 23, 2018

GREAT COURSE!!!

By sagar s

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Oct 3, 2017

It's too good!.

By David G

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Dec 14, 2016

Nice course thx

By Manish K

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Jul 4, 2020

Nice course :)

By Kayal V

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Jun 8, 2020

Really Awesome

By Gerwin N B

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Aug 18, 2020

Great course!

By Ng T C

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Jan 27, 2019

Good learning

By Osmar A B V

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Oct 10, 2021

best teacher

By Peter, K M F

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Jun 23, 2021

Good course

By Mario L

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May 6, 2018

Challenging

By Odemir D J

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Jul 22, 2021

very good!