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Voltar para Ciência de Dados na Vida Real

Comentários e feedback de alunos de Ciência de Dados na Vida Real da instituição Universidade Johns Hopkins

2,313 classificações
278 avaliações

Sobre o curso

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 avaliações)

Melhores avaliações


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 280 Avaliações para o Ciência de Dados na Vida Real

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 dez de 2017

Very helpful overview

por Jonathan B

22 de nov de 2020

What a great course!


23 de set 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 mai de 2020

Just excellent !!!

por Terry L J

30 de jun de 2017

Good information.

por Col S S

28 de mai de 2020

excellent course

por Khalid M F

12 de mar de 2017

very nice course

por K K

22 de dez de 2018


por sagar s

3 de out de 2017

It's too good!.

por David G

14 de dez 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 jan de 2019

Good learning

por Osmar A B V

10 de out de 2021

best teacher

por Peter F

23 de jun de 2021

Good course

por Mario L

6 de mai de 2018


por Juniior a

22 de jul de 2021

very good!

por ellen w

6 de ago de 2017


por Pablo A L

8 de fev de 2016


por Jinky D G

14 de dez de 2021

Thank you

por Flt L G R

22 de jul de 2020