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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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101 — 125 de 280 Avaliações para o Ciência de Dados na Vida Real

por Silvia T

3 de mai de 2018

Another fantastic course in the series.

por Dr N B T

20 de mai de 2020

Very interesting and informative class

por José B A F

12 de fev de 2018

I learned everything I hoped to learn

por Michael B

27 de dez de 2017

Great course with excellent examples.

por Ubirajara A T S

23 de jan de 2016

Very interesting course, I recommend!

por Leonardo J T G

17 de abr de 2018

very interesting, nice examples !!!!

por Mohammed I M

23 de nov de 2021

Excellent presentation by Brian. <3

por wonjai c

24 de ago de 2020

Very good for my project management

por Ashish P

9 de jul de 2020

Amazing and very practical course..

por Jocelyn D

8 de set de 2018

Excellent course! Very interesting!

por Asif J

27 de mar de 2017

this course gave good foundation.

por LEE S B

22 de mar de 2017

Thanks for the awesome content!!!

por Priyanka F P

14 de abr de 2019

Excellent technical information!

por Ben T

28 de dez de 2016

Highly educative and recommended


27 de set de 2020

Good explanations on the topics

por Georgios P

6 de mai de 2019

Very good introductory topics!

por Humbert S

1 de mai de 2017

Great course, great teachers!

por Anna C C

7 de mar de 2021

Very useful and interesting!

por Timothy D

18 de set de 2020

Interesting and informitive/

por Maximilian L

24 de mai de 2020

Very good & hands-on course!

por austin v v

24 de abr de 2018

Another great lesson series.

por 龚子轩

28 de jun de 2018

I really enjoy this class!

por Ratnapratim C

16 de mai de 2020

I enjoyed it Great course


25 de mai de 2018

Great Learning experience

por Moira C T

10 de jul de 2017

The course is very useful