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

4.7
4,840 notes
685 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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151 - 175 sur 657 Examens pour Exploration analytique de données

par kathy0305

Jun 01, 2016

I enjoyed this course.

par Satya N C

Sep 16, 2016

Excellent

par Sinan J H

Feb 22, 2016

perfect

par Jorge E M O

Jul 21, 2016

A very good introduction to the exploratory analysis and the R's plotting systems. The most advanced exploratory techniques (singular values decomposition, etc.) are not explained in depth but the overall role that these kinds of statistical learning techniques plays in the exploratory analysis is firmly established.

Great work with the course!

par Denise O

Apr 04, 2016

Great practical lessons on using plotting in R to analyze the data.

par James W

Sep 07, 2016

Really nicely explained, learned so many useful methods for data analysis in R. The dimensionr reduction and principal component analyses walkthroughs were a little tricky for a newbie in those areas though.

par Tan K T

Feb 29, 2016

Muito bom,.

par Yasel G S

Aug 04, 2016

This course was very important for my work. I learned so much and I want to say thanks to the professors.

par UDBODH

May 04, 2016

Nice Course

par Yi-Yang L

Mar 17, 2017

Favorite course until now in this track. The visualization is very helpful for both academics and career.

par Predrag M

Mar 12, 2016

Great course

par Anna B R

Oct 24, 2017

Great course

par hyunwoo j

Mar 16, 2016

very very useful

par Jerry V

Nov 17, 2016

An interesting course

par Sanjeev K

Mar 14, 2018

Great Insights to graphs, plots . histograms

par antonio q

Dec 30, 2017

very good course, a fast and robust was to learn data analysis using R, thanks

par Dhananjay M

Apr 30, 2017

This course if very helpful. Lectures and assignments provide a great opportunity to gain hands on experience.

par Jhon A M L

Oct 19, 2016

Great!!

par Nishchal S

May 17, 2016

Some functions are so tough to remember but general ideas that i received is wonder full.

par Venkatesh

Jul 01, 2017

Very interesting way of representing data in pictorial form using R as tool

par Ashvath S K

Jun 13, 2016

Amazing experience. Great job Prof. Peng!

par 陈睿

Mar 03, 2016

a great course

par Caroline S

Jun 14, 2017

Nice to know more about the graphing systems.

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.