Chevron Left
Retour à Exploration analytique de données

Avis et commentaires pour l'étudiant pour Exploration analytique de données par Université Johns-Hopkins

4.7
4,950 notes
704 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

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.

Y

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!

Filtrer par :

101 - 125 sur 676 Examens pour Exploration analytique de données

par Jacques d P

Feb 04, 2018

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

par Carl W

Jun 26, 2018

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

par Karel Š

Feb 03, 2017

Nice but basic course.

par Pablo M

Mar 07, 2017

Excellent Course, really enjoyed it and learnt a lot!!!

par Anya M

Jan 08, 2016

Great knowledge!

par Jeronimo B d C J

Apr 27, 2016

Very well explained and didatical! Thanks for the course!

par 陈颐欢

Apr 23, 2018

非常好的课程!

par Mohamed A E M

Sep 18, 2017

Perfect

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 Tim D

Apr 12, 2017

Great course!

par Raja J

Aug 15, 2017

Awesome and very tough course

par 李俊宏

Oct 04, 2017

Good lecture about R graphics!

par Shashikesh M

Jun 14, 2017

This course is most recommended for Data science practitioner.

par Ravi S R

Sep 11, 2017

This course is very important for beginners and it is also simple to understand.

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 Michael M

Sep 04, 2017

The project was fun!

par Kathleen

Apr 20, 2018

Great!

par Bhagya L P R

Jul 22, 2017

Very informative

par Mohammad S

Jul 26, 2017

Awesome !!!

par WANG H

Oct 31, 2017

Very useful !

par Choo E

Jul 17, 2017

I really appreciate this course.

par Vitalii S

Jul 20, 2017

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