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

4,974 notes
707 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


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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201 - 225 sur 679 Examens pour Exploration analytique de données

par Gabriella J

Feb 26, 2017

Great course! It have been very useful for my job as data scientist! Thank u very much!

par Samuel C

Feb 02, 2016

Very good course. Clear instructions.

par Rajlakshmi P

Apr 23, 2017

Excellent course, extremely practical and useful

par Roman O B

Sep 10, 2017

Great overview on explonatory data analysis and preparing graphs in R. I could apply the now knowledge directly to my current work.

par Araks S

Jun 20, 2017

Great course, an excellent instructor who makes the videos easy to watch and listen.

Assignments were very important to me, as I learned a lot while doing it.

par Xiao W

Oct 27, 2016


par Maggie L

Aug 21, 2017

clustering and svd are quite c

par Jeffrey G

Jul 06, 2017

Great course. Really does a good job of describing the goal of EDA and getting people excited about what questions you might be able to answer with data.

par Keidzh S

Apr 04, 2018

Effective and very different.

par WANG H

Oct 31, 2017

Very useful !

par Mohamed A E M

Sep 18, 2017


par A. R C

Jul 03, 2017

I enjoyed it a lot. Thanks to the teachers.

par Md G M

Jun 04, 2018

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

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 Nicholas A

Oct 03, 2017

I had a lot of experience with graphing data before this class in Mathematica and Excell, however, graphing in R seems so much easier and a lot more fun. This class did a great job of explaining the process, and the assignments felt more like games than homework.

par Erich F G

Nov 26, 2017

I learned a Lot over the last several weeks.

par Chandrakanth C

Jun 18, 2018

Well organised course for Exploratory Data Analysis. After this course you will be thorough with the basics of the Exploratory Data Analysis. The peer graded assignment is one level higher than the concepts thought in the lectures is what I felt. Overall, it is worth taking this course. Thanks a lot, Coursera.

par SagarSrinivas

Sep 11, 2017

Quite Happy! for Crediting the Course

par Marildo G F

Aug 27, 2017

Excellent course. The teachers are great.

par Alzum S M

Jul 06, 2018

It's a great course. Thanks to mentors for their efforts.

par Sachin R

Dec 19, 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

par Silvia Y B V

Jul 04, 2017

Good course!

par Aboobacker

Jun 14, 2017

good learning experience

par 陈颐欢

Apr 23, 2018