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

4.5
stars
2,368 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 鈥減erfect鈥� 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

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.

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126 - 150 of 286 Reviews for Data Science in Real Life

By Moira C T

鈥�

Jul 11, 2017

The course is very useful

By Mohammad A A

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Nov 27, 2023

卮賰乇丕 stc 卮賰乇丕 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 12, 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

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Jun 30, 2017

Good information.

By Col S S

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May 28, 2020

excellent course

By Khalid M F

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Mar 13, 2017

very nice course

By K K

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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 5, 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 11, 2021

best teacher

By Peter F

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Jun 23, 2021

Good course

By Mario L

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May 7, 2018

Challenging

By Odemir D J

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Jul 22, 2021

very good!

By Ellen W

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Aug 7, 2017

Excellent!

By Pablo A L

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Feb 9, 2016

Marvelous!