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

4.7
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5,691 évaluations
822 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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226 - 250 sur 792 Avis pour Exploration analytique de données

par NEVIN T K

25 juin 2020

Great course! The swirl courses in particular helped me to learn more

par Elaine E

8 déc. 2019

I think this was a great intro course to graphing and exploring data!

par Natalie R

25 janv. 2019

Fantastic way to learn graphing systems in R and exploratory analysis

par Karan B

4 mars 2018

Excellent course

Swirl lesson makes learning data science much easier

par Sandhya A

25 févr. 2018

I learnt a lot about plotting system and about exploratory research.

par PEIPEI Q

24 déc. 2016

This course is very helpful. Thanks for the teachers of this course.

par Bill K

10 févr. 2016

Really great class that teaches tools you can put to use right away.

par YUCHEN Z

9 avr. 2020

very rice content! I like it. help me understand PCA SVD throughly.

par Bojan B

14 oct. 2018

Great course with great materials. Easy to understand and to learn.

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 Alex Z

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.