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

2,269 ratings
272 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: Course cover image by Jonathan Gross. Creative Commons BY-ND
Statistics review
(44 Reviews)

Top reviews

Aug 19, 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.

Nov 11, 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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51 - 75 of 274 Reviews for Data Science in Real Life

By Christos G

Sep 1, 2017

Smartly selected topics for an executive course. Well balanced between theory and examples.

By Iuri V d J Q

Mar 7, 2016

Awesome feedback on real life situations where i managed to pass through on my current job.

By Ricardo G G

Oct 7, 2021

Excellent course! The instructors are able to teach a complex topic in an accessible way..

By vikas k

Apr 27, 2016

This is really a very nice course for learning data science in solving real life problems.

By Jason G

Mar 17, 2019

Very informative and a good introduction into the aspects faced while doing Data Science!

By Gabriela E L M

May 8, 2017

Very punctual practical and applicable information about do's and don'ts for DS projects.

By Paul H

Jan 4, 2017

Lots of useful tips. Great overview spanning data science pitfalls. Impressively concise.

By Antonio P L

Dec 31, 2016

Fantastic Course for people who want to know the details to do great analysis and reports

By Felix E R P

Jun 15, 2016

Good review on how to work and interact with the team during the data analysis pipeline!

By Sheetal K

Feb 3, 2020

The pace and the content of the course is just apt and keeps the participants engaged

By Ashiqur R

Jun 30, 2020

Very precise and constructive course. I think it will be helpful for every one.


May 26, 2020

i like this course , really help to understand many things about data science

By Ning Z L

Mar 28, 2016

Practical using the data science in real life, a lot of extending learning.


Aug 15, 2017

great comparison between ideal data results and what happens in real life

By Vijai K S

Feb 9, 2016

Short yet nice. Gave me a lot of insights on what can and can't be done.

By Omid F

May 10, 2019

Thank you very much for your excellent course.

Best Regards

Omid Faseli

By Deleted A

Jul 8, 2017

Concise preview of some of the real world applications of Data Science!

By Rejane R d C P

Oct 16, 2020

I thank the lecturer Brian for this course: your lectures are amazing!

By Nick M

Oct 28, 2017

Great. You guys should check for typos in the written material though

By Christopher S

Sep 22, 2017

Good course for understanding practicalities of DS in the real world.

By Daniel M M

Sep 10, 2017

A bit extense but very well simplified for non experts in Statistics.

By Niels v G

Feb 8, 2016

This was a great final to the Data Science Executive Specialization.

By Craig O

Jul 2, 2017

This emphasizes the often overlooked area of managing expectations.

By Pascal U E

Nov 8, 2018

Great practice example, great team at Zillow, and that to DataCamp


Mar 16, 2017

Very informative course.. ample of examples to relate with topics.