Chevron Left
Data Science in Real Life に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Data Science in Real Life の受講者のレビューおよびフィードバック



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





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.



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.


Data Science in Real Life: 51 - 75 / 280 レビュー

by Ramkumar


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

by Aedrian A


I enjoyed taking this course and I think that it delivers on what it promises on the title.

by Christos G


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

by Iuri V d J Q


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

by Ricardo G G


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

by Vikas K T


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

by Jason G


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

by Gabriela E L M


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

by Paul H


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

by Antonio P L


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

by Felix E R P


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

by Sheetal K


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

by Ashiqur R


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



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

by Ning Z L


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



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

by Vijai K S


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

by Omid F


Thank you very much for your excellent course.

Best Regards

Omid Faseli

by Deleted A


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

by Rejane R d C P


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

by Nick M


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

by Christopher S


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

by Daniel M M


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

by Niels v G


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

by Craig O


This emphasizes the often overlooked area of managing expectations.