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

4.7
étoiles
5,916 évaluations
862 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

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.

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!

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251 - 275 sur 833 Avis pour Exploration analytique de données

par Satendra P S P

2 mai 2017

its one of the most powerful and skillful course for data scientist

par Sebastian R

7 mars 2017

Great to understand clustering analysis and create beautiful graphs

par Denise O

4 avr. 2016

Great practical lessons on using plotting in R to analyze the data.

par Md G M

4 juin 2018

Course materials and video are really good and easy to understand.

par Lam L D

5 juil. 2020

An awesome course providing skills from basics to sophisticated.

par Vijay M

30 avr. 2018

Great course to learn the basics of exploratory analysis using R

par Hawk G

13 févr. 2017

Thank you very much. I enjoyed the course a lot. I recommend it!

par Patrícia A F

30 avr. 2019

Great course! I'm learning a lot with this course, i recommend.

par MOCHAMMAD N D

22 août 2020

basic and importan for data analyst.. just try it, it is worth

par Michael S

10 août 2018

Work thru the Swirl exercises definitely helped. Great course.

par Shashikesh M

14 juin 2017

This course is most recommended for Data science practitioner.

par Qasim Z

26 oct. 2016

Wonderful primer on how to get thinking creatively about data.

par Dennis A

10 oct. 2016

There is a lot you can learn during this course, I enjoyed it!

par Emanuele M

8 mars 2016

Very important course towards th specialization and well done!

par Robert M

2 sept. 2020

I loved the explanations and the swirl course. It was amazing

par Philippine R

22 mai 2017

This was a really useful module. I keep referring back to it.

par Carl W

26 juin 2018

Feels like things are starting to come together. Good class.

par 吴昊

29 avr. 2018

Very good course. I learn how to do the exploratory analysis

par Thomas J

17 avr. 2021

It was a great time for me to learn more about data and eda

par Rodrigo R

29 mars 2016

Very good course! It's the hardest yet on the Specalization

par Lalita M

26 juil. 2019

Good Course with proper explanations and lot of practices.

par Himanshu R

30 nov. 2017

A good, informative course, thanks a lot for the teaching.

par Fernando R A

23 oct. 2017

Great ideas around exploring data quickly and efficiently!

par Luiz C

17 sept. 2017

The graph tools presented in this course are very powerful

par Iphigenia-Danae K

29 janv. 2017

Awesome course, with a very detailed step by step approach