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

4.7
4,828 notes
684 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!

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201 - 225 sur 657 Examens pour Exploration analytique de données

par Roland P

Nov 25, 2017

Superb!

par Runhao Z

Oct 17, 2017

The peer review takes so long..................................................................................... which costs me extra money even though I have finished all the stuff 1.5days before the last day.

par Yusuf E

Jan 05, 2018

This course is nice but ggplot should have been given more emphasis probably. I really enjoyed the sections on SVD and PCA as these really require mathematical maturity. Other than that solid introduction to the plotting systems in R which is a must have. This course coupled with Applied Charting with Python will complete my skillset. Looking forward to the rest of the specialization.

par JEEWESH K J

Oct 09, 2017

Course is very good.

par Djafer T

Mar 05, 2018

Excellent course!

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 Md G M

Jun 04, 2018

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

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 Damjan S

Jun 10, 2017

This was the course that I've enjoyed it the most. Especially the data visualization part

par Yang F (

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!

par George G A

Aug 20, 2017

Probably one of the most fun courses I have taken so far. It is an important step in every analysis.

par Michael M

Sep 04, 2017

The project was fun!

par Sumeet M

Nov 06, 2017

Good Course

par Sam M

Jul 09, 2018

Very good course!

par WANG H

Oct 31, 2017

Very useful !

par Tim D

Apr 12, 2017

Great course!

par Raja J

Aug 15, 2017

Awesome and very tough course

par Mohamed A E M

Sep 18, 2017

Perfect

par Wei W

Sep 11, 2017

C

par Admetos A

May 28, 2018

Found this course very impressive and challenging. Looking forward for the next.

par Ganapathi N K

May 01, 2018

Nice

par Sanjay L

May 22, 2018

Week 3 - clustering concepts appear hard to comprehend initially. This week should first start with a practical example/use of clustering and then move on to technical

par T, K

Jul 01, 2018

Great Course !

par Vincent G

Jul 03, 2017

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