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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

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2,328 classificações

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: https://www.youtube.com/watch?v=9BIYmw5wnBI Course cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb...
Destaques
Statistics review

(44 avaliações)

Melhores avaliações

SM

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.

ES

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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1 — 25 de 281 Avaliações para o Ciência de Dados na Vida Real

por Peter E

12 de mar de 2017

por Paul F

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por Liping L

29 de jan de 2019

por Sohail B

23 de set de 2017

por Sandip M

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por Elliot S

12 de nov de 2017

por Robert A

4 de fev de 2016

por Jason C

6 de nov de 2018

por tommy c

23 de mai de 2016

por José A R N

30 de set de 2016

por Punam P

16 de abr de 2020

por Scott R H

5 de jun de 2016

por Rumanti D P

2 de nov de 2020

por Martín A M A

6 de nov de 2021

por Jan R

28 de mar de 2016

por Fuzzy C

13 de mar de 2017

por Mats S P

21 de nov de 2022

por Bose M

11 de dez de 2020

por Marzia N

12 de ago de 2020

por Joseph G

28 de dez de 2016

por David G V

2 de nov de 2020

por Julien N

20 de fev de 2018

por Allen J M A

19 de out de 2017

por bojana m

26 de jun de 2016

por pamandeep s g

17 de nov de 2015