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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

1,667 classificações
190 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


Aug 20, 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.


Nov 12, 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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76 — 100 de {totalReviews} Avaliações para o Ciência de Dados na Vida Real

por Silvia T

May 04, 2018

Another fantastic course in the series.

por JOSÉ B A F

Feb 12, 2018

I learned everything I hoped to learn

por Michael B

Dec 27, 2017

Great course with excellent examples.

por Ubirajara A T S

Jan 23, 2016

Very interesting course, I recommend!

por Leonardo J T G

Apr 17, 2018

very interesting, nice examples !!!!

por Jocelyn D

Sep 08, 2018

Excellent course! Very interesting!

por Asif J

Mar 27, 2017

this course gave good foundation.

por LEE S B

Mar 22, 2017

Thanks for the awesome content!!!

por Priyanka F P

Apr 14, 2019

Excellent technical information!

por Ben T

Dec 28, 2016

Highly educative and recommended

por Georgios P

May 06, 2019

Very good introductory topics!


May 01, 2017

Great course, great teachers!

por austin v v

Apr 24, 2018

Another great lesson series.

por 龚子轩

Jun 28, 2018

I really enjoy this class!

por Gabriel U U

May 26, 2018

Great Learning experience

por Moira C T

Jul 10, 2017

The course is very useful

por Claudia Z

Aug 20, 2017

Was great!!! love it ;)

por John E

Dec 11, 2017

Very helpful overview

por Terry L J

Jun 30, 2017

Good information.

por Khalid M F

Mar 12, 2017

very nice course

por Kim K R

Dec 23, 2018


por SagarSrinivas

Oct 03, 2017

It's too good!.

por David G

Dec 14, 2016

Nice course thx

por Ng T C

Jan 27, 2019

Good learning


May 06, 2018