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Voltar para Análise Exploratória de Dados

Comentários e feedback de alunos de Análise Exploratória de Dados da instituição Universidade Johns Hopkins

5,946 classificações
871 avaliações

Sobre o curso

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data....

Melhores avaliações

28 de Jul de 2016

This is the second course I have taken from Roger Peng and both were outstanding. I have a strong math background, but not much of a background in stats, but this course was very approachable for me.

23 de Set de 2017

Very good course! It provide me the foundation in learning how to plot and interpret data. This will definitely strengthen my "R programming" to generate publication type figure for my genomics data!

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176 — 200 de 840 Avaliações para o Análise Exploratória de Dados

por Alberto G

12 de Set de 2018

Very interesting and useful for its applicability to a lot of different professional areas.

por Ricardo R

24 de Out de 2016

Excelent course! Very direct and informative, leaving many doors open to individual quests.

por Ghazouan S

2 de Out de 2016

I love all those courses, I have learned so much and I'm planning to complete all 10 units.

por Pratama A A

24 de Jul de 2020

I encourage to read the book ,and learn the unsupervised machine learning algortihm better

por Thiago M

12 de Ago de 2019

Course material and projects help a lot in learning and improving data analysis techniques

por Gat T

27 de Jan de 2019

I really liked this course. I felt like a learnt a lot especially with all of the projects

por Damian

10 de Jun de 2017

This was the course that I've enjoyed it the most. Especially the data visualization part


22 de Abr de 2021

Great course with important lessons. Thanks for the lessons and the information provided.

por Anusha V

30 de Mai de 2017

Amazing course. challenging and you learn a LOT (particularly about graphics tools in R).

por Nishchal S

17 de Mai de 2016

Some functions are so tough to remember but general ideas that i received is wonder full.

por Ray W

22 de Fev de 2016

Pretty useful introduction to various plotting tools and some deep down insights as well.

por Isaac C

12 de Mar de 2018

Im really learning because of the exercises, they are very efficient!!

congratz coursera

por niki a

13 de Mar de 2017

Nice course! Workload was just about right. clear lectures and well-designed projects.

por Gabriella J

26 de Fev de 2017

Great course! It have been very useful for my job as data scientist! Thank u very much!

por Andrés D C

27 de Mai de 2021

This is essential for every posterior course, take care of understanding the concepts.

por ONG P S

15 de Jan de 2020

As an auditor, this course taught me to see things more clearly from different angle.

por Сетдеков К Р

23 de Jan de 2019

This is a great course on plotting data as well as finding underlying patterns in it.

por Nannette S

16 de Abr de 2018

Great course. The case studies are extremely helpful as well as the SWIRL exercises.

por Warwick T

15 de Jun de 2017

Very enjoyable course although I think the workload could be more evenly distributed.

por Gioachino B

2 de Jan de 2017

Excellent training! Lectures are easy to understand and let you focus on the subject.

por Avizit C A

30 de Jan de 2019

A very good course describing commonly used graphical techniques with good examples.

por Jacques d P

4 de Fev de 2018

Enjoyed this course. The course content and projects are very relevant to the field.

por Sean N

14 de Fev de 2017

A nice introduction to operating on Data sets. Clear examples, interesting projects.

por Lluís G

28 de Nov de 2016

Very good course that provides handy tools for data manipulation and representation

por Pratyush D

16 de Fev de 2016

Very good course. Explains some very peculiar concepts of PCA and SVD very clearly.