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Avis et commentaires pour d'étudiants pour Exploration analytique de données par Université Johns-Hopkins

4.7
étoiles
5,736 évaluations
829 avis

À propos du cours

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....

Meilleurs avis

Y
23 sept. 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!

CC
28 juil. 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.

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201 - 225 sur 799 Avis pour Exploration analytique de données

par k.saikiran r

30 juin 2016

This course served as a great introduction to R and helped me to get ease with R

par danxu

22 mai 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

par Gayathri N

6 juin 2020

Explained in a simple and clear way for folks like me who are new to the course

par Raunak S

11 oct. 2018

awesome course to learn exploratory data analysis using R programming language.

par Luiz A M F

26 déc. 2016

Excellent course to develop and understand the technique of data visualization.

par Angela C

9 sept. 2019

The BEST course in the series by far. You finally get your hands on some data.

par Bruno R S

14 janv. 2019

An excellent introduction to R' basic processing and graphing functionalities.

par Antonio M L

17 févr. 2018

Useful. very clear and easy to review and learn ggplot and other useful things

par antonio q

30 déc. 2017

very good course, a fast and robust was to learn data analysis using R, thanks

par Ranjith C K

1 mai 2017

good course with example and assignment, we get the real feel of doing things.

par Alberto T

15 juin 2016

Excellent course. Nice lectures to guide to graphics use in data presentation.

par Hathairat W

9 févr. 2019

The course is definitely useful for my job. I learned new skills and had fun!

par Vitalii S

20 juil. 2017

I am using exploratory data analysis almost every time when loading raw data.

par Dan K H

28 mars 2016

Excellent course, Rogers enthusiasm shows truly through to his speed-talk :-)

par Yadder A

12 nov. 2017

I enjoy a lot this course, but I was waiting for more assignments with plots

par Luong M Q

20 mars 2017

Very fruitful course on how to approach issues and use plots to deal with it

par Sachin R

19 déc. 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

par Lee Y L R

5 janv. 2018

A very good and concise course, with useful tools to explore data visually!

par Venkatesh

1 juil. 2017

Very interesting way of representing data in pictorial form using R as tool

par Sandra G

1 août 2018

Great course, I have improved my skill plotting in R and organizing files.

par SATHYANARAYANAN S

10 sept. 2017

Very good for anyone wanting to get into the field of Data Science using R

par Jordi A C

24 janv. 2017

Very interesting course on plotting with R and much more! I've enjoyed it.

par Nils N

26 sept. 2016

If you get data, take this course! You will love the course and your data!

par samuel c j

18 juil. 2020

La información que se vio en el curso es relevante y está bien explicada.

par Stefan P L

9 févr. 2018

Overall good course! Though I hope there is more exercise in SVD/PCA part