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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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201 — 225 de 280 Avaliações para o Ciência de Dados na Vida Real


19 de out de 2016

good course, but focus more on inferential analysis than predictive analysis

por Gustavo V

13 de abr de 2019

Help me understand what can I expect from a real data science project.

por Deepak G

28 de jun de 2016

Quality of this course is better than the rest of the specialization.

por Sangeeta N

21 de fev de 2021

This gives the basics of Data Science that one needs to lead a team

por Chris C

22 de nov de 2017

A little difficult overall but had some key points to take away.

por Jomo C

28 de jan de 2018

Good course, Longer than expected. Very satisfying at the end

por Rorie D

20 de abr de 2016

great approach, thanks. A few typos, but otherwise great.

por Navneet W

10 de set de 2020

On of the best courses of Data science on Coursera.

por Brian N

10 de abr de 2018

Good for introduction in Data Science Process

por Paul C

4 de nov de 2016

A solid course with lots of practical advice.

por Paulose B

31 de out de 2016

Short session need more handson excercise


22 de jan de 2020

Good course with vibrant instructors.


7 de jan de 2017

More real world examples are required

por Hubertus H

27 de jan de 2017

Good summary on experimental design.

por Nachum S

13 de jul de 2018

Good, a bit long for the material.

por Setia B

6 de dez de 2017

I really enjoyed the course :)

por Jeffery T

30 de nov de 2017

Good course for managers

por Angel S

17 de jan de 2016

Pretty useful course

por Venuprasad R

5 de jan de 2016

Very practical views

por Rui R

18 de jun de 2017

Too much theory ...


20 de jun de 2020

Nice course 👍

por Deepa F P

5 de set de 2017

Good content


5 de ago de 2020

Nice course

por R.K.Suriyakumar

7 de jun de 2020

its good

por ECE- R G

13 de jul de 2020