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

4.4
1,620 ratings
187 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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1 - 25 of 186 Reviews for Data Science in Real Life

By Liping L

Jan 29, 2019

This is a recommended course where you understand what are the requirements for a data engineer, data manager and data scientis

By Kim K R

Dec 23, 2018

GREAT COURSE!!!

By Ng T C

Jan 27, 2019

Good learning

By ELINGUI P U

Nov 08, 2018

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

By Alzum S M

Jan 20, 2019

It's an excellent course. I have learnt a lot.

By BAHAR A

Feb 24, 2019

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

By Hector R C C

Mar 17, 2019

thanks!

By Jason G

Mar 18, 2019

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

By Elton K

Dec 14, 2018

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

By Jocelyn D

Sep 08, 2018

Excellent course! Very interesting!

By Emmanuelle M

Oct 10, 2018

Great course, although, if you are not already working or have knowledge in this particular filed/topic, it is challenging.

By Roque A

Sep 24, 2018

Very easy to follow with good examples. The focus on this course was on practicality and I really appreciated that

By Wladimir R

Sep 30, 2018

Excellent

By Gabriela E L M

May 08, 2017

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

By william K

Jan 04, 2017

Excellent course. The material is good enough that will help me where to look for information, considerations, a

By Joseph S

Aug 01, 2017

Excellent presentation. Very practical and relevant.

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 Michael A L

Mar 31, 2018

An excellent overview of the topic material without a lot of unnecessary clutter. Well-organized and -communicated. Kudos.

By Edgar A C V

May 15, 2018

I just finished this course but I cant enroll to the last one (I have 4/5 course in this moment). Can you please help me?? thanks!!!

By Ajay P

Feb 21, 2016

Excellent course, material and superior teaching.

By Ramkumar

Jul 01, 2017

This course was really good. Good articulation on randomization and why we do randomization.

By Sanketh G

Aug 02, 2017

Detailed view on how to look at real life data

By Claudia Z

Aug 20, 2017

Was great!!! love it ;)

By Manjunatha V M

Jan 07, 2017

Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!

By pamandeep s g

Nov 17, 2015

The course is a good compilation of essential concepts to avoid pitfalls during analysis. Most material is given a short intro only, so a good data science background is needed to appreciate the material presented here.