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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 10, 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 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.

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101 - 125 of 289 Reviews for Data Science in Real Life

By Sateesh K R

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Mar 10, 2016

Excellent overview course on Data Science

By R. K R

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Jun 13, 2025

It was Good for beginner of DS Students

By Cheleen

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Jul 9, 2020

Its very easy and useful to oru studies

By Silvia T

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May 3, 2018

Another fantastic course in the series.

By Dr N B T

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May 20, 2020

Very interesting and informative class

By José B A F

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Feb 12, 2018

I learned everything I hoped to learn

By Mike B

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Dec 27, 2017

Great course with excellent examples.

By Ubirajara A T S

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Jan 23, 2016

Very interesting course, I recommend!

By Leonardo J T G

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Apr 17, 2018

very interesting, nice examples !!!!

By Mohammed I M

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Nov 23, 2021

Excellent presentation by Brian. <3

By wonjai c

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Aug 24, 2020

Very good for my project management

By Ashish P

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Jul 9, 2020

Amazing and very practical course..

By Jocelyn D

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Sep 8, 2018

Excellent course! Very interesting!

By Asif J

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Mar 27, 2017

this course gave good foundation.

By LEE S B

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Mar 22, 2017

Thanks for the awesome content!!!

By Priyanka F P

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Apr 14, 2019

Excellent technical information!

By Ben T

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Dec 28, 2016

Highly educative and recommended

By MAYETTE A S

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Sep 27, 2020

Good explanations on the topics

By George P

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May 6, 2019

Very good introductory topics!

By Humbert S

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May 1, 2017

Great course, great teachers!

By Anna C C

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Mar 7, 2021

Very useful and interesting!

By Timothy D

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Sep 18, 2020

Interesting and informitive/

By Maximilian L

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May 24, 2020

Very good & hands-on course!

By austin v v

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Apr 24, 2018

Another great lesson series.

By 龚子轩

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Jun 28, 2018

I really enjoy this class!