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Opiniones y comentarios de aprendices correspondientes a Data Science in Real Life por parte de Universidad Johns Hopkins

2,330 calificaciones

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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
Aspectos destacados
Statistics review

(44 reseñas)

Principales reseñas


19 de ago. de 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 de nov. de 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 de 281 revisiones para Data Science in Real Life

por Moira C T

10 de jul. de 2017

The course is very useful

por Claudia Z

20 de ago. de 2017

Was great!!! love it ;)

por Rayees A L

16 de jul. de 2020

Great fully satisfied

por John E

11 de dic. de 2017

Very helpful overview

por Jonathan B

22 de nov. de 2020

What a great course!


23 de sep. de 2020

This subject is good

por yashwanth k A R

11 de jul. de 2020

the tutor was great

por Albino C

10 de may. de 2020

Just excellent !!!

por Terry L J

30 de jun. de 2017

Good information.

por Col S S

28 de may. de 2020

excellent course

por Khalid M F

12 de mar. de 2017

very nice course

por K K

22 de dic. de 2018


por sagar s

3 de oct. de 2017

It's too good!.

por David G

14 de dic. de 2016

Nice course thx

por Manish K

4 de jul. de 2020

Nice course :)

por Kayal V

8 de jun. de 2020

Really Awesome

por Gerwin N B

18 de ago. de 2020

Great course!

por Ng T C

27 de ene. de 2019

Good learning

por Osmar A B V

10 de oct. de 2021

best teacher

por Peter F

23 de jun. de 2021

Good course

por Mario L

6 de may. de 2018


por Odemir D J

22 de jul. de 2021

very good!

por ellen w

6 de ago. de 2017


por Pablo A L

8 de feb. de 2016


por Jinky D G

14 de dic. de 2021

Thank you