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

4.4
stars
2,095 ratings
249 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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51 - 75 of 248 Reviews for Data Science in Real Life

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 03, 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.

By BENSAFOUAN A

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.

By ANDREA G F

Aug 15, 2017

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

By Vijai K S

Feb 10, 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 09, 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 08, 2016

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

By Craig O

Jul 02, 2017

This emphasizes the often overlooked area of managing expectations.

By ELINGUI P U

Nov 08, 2018

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

By PRASHANT S

Mar 16, 2017

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

By Manuel E

Jul 08, 2019

Good review of everything that can go wrong… and eventually will.

By BAHAR A

Feb 24, 2019

It is a helpful course about a statistical area. I recommend it.

By Martin B

Jun 19, 2018

Enjoyed it very much. Keep it up guys ;-) Greetings from germany

By SOM D M

Mar 01, 2017

Great Course for Learning Data science practical applications.

By olive

Sep 27, 2016

Excellent experience - I cant wait for the capstone project.

By Fayez A S

Jul 07, 2019

It opened new understanding for me. Loved every bit of it.

By Tunga L

Jun 20, 2020

Excellent course. Awesome Faculty, Interesting Quizzes,

By Alessandro F

Nov 10, 2016

somewhat demanding in some of the points but effective