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Bewertung und Feedback des Lernenden für Data Science in Real Life von Johns Hopkins University

2,288 Bewertungen
277 Bewertungen

Über den Kurs

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 Bewertungen)


19. Aug. 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.

11. Nov. 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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126 - 150 von 279 Bewertungen für Data Science in Real Life

von Claudia Z

20. Aug. 2017

Was great!!! love it ;)

von Rayees A L

16. Juli 2020

Great fully satisfied

von John E

11. Dez. 2017

Very helpful overview

von Jonathan B

22. Nov. 2020

What a great course!


23. Sep. 2020

This subject is good

von yashwanth k A R

11. Juli 2020

the tutor was great

von Albino C

10. Mai 2020

Just excellent !!!

von Terry L J

30. Juni 2017

Good information.

von Col S S

28. Mai 2020

excellent course

von Khalid M F

12. März 2017

very nice course

von Kim K

22. Dez. 2018


von sagar s

3. Okt. 2017

It's too good!.

von David G

14. Dez. 2016

Nice course thx

von Manish K

4. Juli 2020

Nice course :)

von Kayal V

8. Juni 2020

Really Awesome

von Gerwin N B

18. Aug. 2020

Great course!

von Ng T C

27. Jan. 2019

Good learning

von Osmar A B V

10. Okt. 2021

best teacher

von Peter F

23. Juni 2021

Good course

von Mario L

6. Mai 2018


von Juniior a

22. Juli 2021

very good!

von ellen w

6. Aug. 2017


von Pablo A L

8. Feb. 2016


von Flt L G R

22. Juli 2020


von DR. S T C

14. Juli 2020