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Voltar para Administração de análise de dados

Comentários e feedback de alunos de Administração de análise de dados da instituição Universidade Johns Hopkins

3,245 classificações
458 avaliações

Sobre o curso

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. 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 basic data analysis iteration 2. Identify different types of questions and translate them to specific datasets 3. Describe different types of data pulls 4. Explore datasets to determine if data are appropriate for a given question 5. Direct model building efforts in common data analyses 6. Interpret the results from common data analyses 7. Integrate statistical findings to form coherent data analysis presentations Commitment: 1 week of study, 4-6 hours Course cover image by fdecomite. Creative Commons BY
Helpful quizzes

(3 avaliações)

Well-organized content

(24 avaliações)

Melhores avaliações


28 de fev de 2017

A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.


22 de nov de 2016

The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for

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176 — 200 de 454 Avaliações para o Administração de análise de dados

por Nachum S

12 de jul de 2018

Excellent content, well explained, good use cases

por Gayatri A

14 de jul de 2017

Amazing course . Must for all data professionals.

por Siddhartha S

5 de abr de 2017

Crisply covered critical aspects of Data Analysis

por Hyejin C

3 de out de 2015

I just love JHU courses. Well-organized and made.


4 de set de 2020

An excellent course. It met all my expectations.

por Rhodes B

7 de set de 2016

Best course in the specialization - thanks team!

por Bishooka M

5 de nov de 2020

It was an amazing course. I have learned a lot.

por Michael F

18 de jan de 2018

excellent easy to follow explainations, thanks!

por Dameliya K

6 de mai de 2022

It was interesting and sometimes a bit hard :)

por Kristin C

11 de set de 2018

Really liked Roger's enthusiasm for the topic!

por Ubirajara A T S

22 de dez de 2015

Very good and interesting course, I recommend!

por Francesco

3 de jul de 2019

A complete overview in managing data analysis

por David S

1 de nov de 2017

Great course about the data analysis process!

por RON R C

20 de out de 2015

Great Discussions from Managing Data Analysis

por Juana

26 de jan de 2020

It is very clearly constructed and helpful.


5 de mar de 2019

Não encontrei onde baixar o certificado ...

por Ning Z L

28 de mar de 2016

Want to learn more detail of data analysis.

por Deleted A

10 de out de 2020

thank you for the data science information

por Amirtha v P

28 de abr de 2020

I agree that this course is more valusble

por Andrew R

30 de out de 2017

Excellent course with good level of depth.

por alaa f a

17 de jun de 2020

very good course . I'm enjoy it thank you

por Kevin M

3 de jul de 2017

Great, most useful of the slew of courses

por aankitakaur

8 de ago de 2017

Its a great Course...Keep it up...Thanks

por Deleted A

10 de jun de 2019

Curso muy completo y ejemplos adecuados

por José B A F

28 de jan de 2018