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

4.4
stars
1,692 ratings
191 reviews

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

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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76 - 100 of 190 Reviews for Data Science in Real Life

By Silvia T

May 04, 2018

Another fantastic course in the series.

By JOSÉ B A F

Feb 12, 2018

I learned everything I hoped to learn

By Michael B

Dec 27, 2017

Great course with excellent examples.

By Ubirajara A T S

Jan 23, 2016

Very interesting course, I recommend!

By Leonardo J T G

Apr 17, 2018

very interesting, nice examples !!!!

By Jocelyn D

Sep 08, 2018

Excellent course! Very interesting!

By Asif J

Mar 27, 2017

this course gave good foundation.

By LEE S B

Mar 22, 2017

Thanks for the awesome content!!!

By Priyanka F P

Apr 14, 2019

Excellent technical information!

By Ben T

Dec 28, 2016

Highly educative and recommended

By Georgios P

May 06, 2019

Very good introductory topics!

By humbert.sch@gmail.com

May 01, 2017

Great course, great teachers!

By austin v v

Apr 24, 2018

Another great lesson series.

By 龚子轩

Jun 28, 2018

I really enjoy this class!

By Gabriel U U

May 26, 2018

Great Learning experience

By Moira C T

Jul 10, 2017

The course is very useful

By Claudia Z

Aug 20, 2017

Was great!!! love it ;)

By John E

Dec 11, 2017

Very helpful overview

By Terry L J

Jun 30, 2017

Good information.

By Khalid M F

Mar 12, 2017

very nice course

By Kim K R

Dec 23, 2018

GREAT COURSE!!!

By SagarSrinivas

Oct 03, 2017

It's too good!.

By David G

Dec 14, 2016

Nice course thx

By Ng T C

Jan 27, 2019

Good learning

By MARIO L

May 06, 2018

Challenging