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

4.4
1,560 ratings
185 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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26 - 50 of 184 Reviews for Data Science in Real Life

By Pablo A L

Feb 08, 2016

Marvelous!

By Craig O

Jul 02, 2017

This emphasizes the often overlooked area of managing expectations.

By 龚子轩

Jun 28, 2018

I really enjoy this class!

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 Moira C T

Jul 10, 2017

The course is very useful

By Ben T

Dec 28, 2016

Highly educative and recommended

By Daniel M M

Sep 10, 2017

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

By SOM D M

Mar 01, 2017

Great Course for Learning Data science practical applications.

By PRASHANT S

Mar 16, 2017

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

By humbert.sch@gmail.com

May 01, 2017

Great course, great teachers!

By Iuri V d J Q

Mar 08, 2016

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

By Ubirajara A T S

Jan 23, 2016

Very interesting course, I recommend!

By Sudheer M

Aug 24, 2017

good insights into the approach we should pursue

By Khalid M F

Mar 12, 2017

very nice course

By Reto W

Jul 03, 2016

Good Presentation; informative & engaging

By Paul F

Feb 12, 2018

Another excellent Executive Data Science course. Brian gives clear and concise explanations of the ideal versus real world of the data science workplace.

By Paul S

Jan 28, 2017

Helpful tips for handling problems during the several life cycle stages of a Data Science project.

By olive

Sep 27, 2016

Excellent experience - I cant wait for the capstone project.

By Niels v G

Feb 08, 2016

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

By vikas k

Apr 27, 2016

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

By Carlos J

Sep 20, 2017

Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel

By Sateesh K R

Mar 11, 2016

Excellent overview course on Data Science

By tommy c

May 23, 2016

great for existence human and android based life-form simulation internal lifestyle...

The course improves life within the simulation 10 fold at least(when combined with the other specialization courses) ...

Perfect learning tool for those who have worked professionally in research field sin our simulation and yet now have a touch of "the turrings" or you know : CBI...

Special thanks to the designers of the course.

Top scores for coursera.org &John Hopkins ...

By Jan R

Mar 28, 2016

Excellent course! The only thing I would say is that many managers from the corporate field simply would find it too "academic". But this was a huge plus for me - and I think the course will serve extremely well also to anyone who works in academic research and has to handle some real-life data.