Retour à Exploration analytique de données

4.7

4,984 notes

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709 avis

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....

Jul 29, 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.

Sep 24, 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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par Wei W

•Sep 11, 2017

C

par Rahul P

•Jan 17, 2018

Good Course!!! Didn't know anything about R Exploratory Data Analysis before but now it seems easy..

par 李俊宏

•Oct 04, 2017

Good lecture about R graphics!

par Ismelda M

•Feb 07, 2017

Excellent course

par 邱培培

•Dec 24, 2016

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

par Zhang M

•Apr 25, 2017

Very helpful!

par Mingming Q

•Feb 23, 2017

very good

par Lloyd N

•Dec 20, 2016

This course is excellent in that it gave a great introduction to the plotting functions in R. They also introduced singular value decomposition, which is a concept that is interested but wish the course went deeper into.

par Ryan C Y H

•Jul 02, 2017

Taught useful things!

par Shreya S

•Apr 21, 2017

A good one

par Adán H

•Oct 05, 2017

Good!

par Tejus M

•May 25, 2018

This course is the first real step from using R for basic data manipulation/stats, to using it for advanced stats. However, the videos on PCA (principal component analysis) and SVD (singular value decomposition) were difficult to understand, and I had to view several videos on YouTube (e.g., StateQuest or Standord U) that do a far better job of explaining. Once I did that, the course videos seemed to make more sense.

par Marcelo S

•Dec 11, 2017

Great Course. Week 3 requires a bit of mathematical savvy (google SVD/PCA), but since there is no quiz, it won't affect your ability to finish the course, just your ability to fully understand what you are doing. The last project was a bit challenging, which is always good, but most of the information to complete it and earn full marks is in the discussion forums as usual.

par João F

•Nov 21, 2017

Excelent course! I learned to make plots with the base plotting system and with the lattice and ggplot2 packages. Challenging assignments. It was great to learn about clustering, dimensionality reduction, SVD and PCA since they play a very important role in Data Science.

par Apoorva S

•Oct 07, 2017

IN depth Explanation

par Marat K

•Dec 02, 2017

Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful

par Kathleen

•Apr 20, 2018

Great!

par Vincent G

•Jul 03, 2017

very good and insightful course delivered at the right level with good examples and excersises

par Changkeun K

•Jul 18, 2017

the basic class of data analysis.

par Tim D

•Apr 12, 2017

Great course!

par Raja J

•Aug 15, 2017

Awesome and very tough course

par Vitalii S

•Jul 20, 2017

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

par Michael M

•Sep 04, 2017

The project was fun!

par 杜冈桃

•Sep 27, 2017

非常好. 学到很多实用东西

par Anil G

•May 14, 2018

Very informative course, enhance dat

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