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Avis et commentaires pour d'étudiants pour Exploration analytique de données par Université Johns-Hopkins

4.7
étoiles
5,399 évaluations
780 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

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!

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.

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201 - 225 sur 750 Avis pour Exploration analytique de données

par Luong M Q

Mar 20, 2017

Very fruitful course on how to approach issues and use plots to deal with it

par Sachin R

Dec 19, 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

par Lee Y L R

Jan 05, 2018

A very good and concise course, with useful tools to explore data visually!

par Venkatesh

Jul 01, 2017

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

par Sandra G

Aug 01, 2018

Great course, I have improved my skill plotting in R and organizing files.

par SATHYANARAYANAN S

Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

par Jordi A C

Jan 24, 2017

Very interesting course on plotting with R and much more! I've enjoyed it.

par Nils N

Sep 26, 2016

If you get data, take this course! You will love the course and your data!

par Stefan P L

Feb 09, 2018

Overall good course! Though I hope there is more exercise in SVD/PCA part

par Ahmed M K

Jan 08, 2017

What a wonderful course to undertake. On my way to take all 10 courses :D

par Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par manuel s g

Apr 24, 2020

Very useful course conceptually as well as with excercises and projects

par Laura B

Jul 07, 2017

Good info. But I would like to have reminder emails for the due dates.

par Erika G

Feb 06, 2016

I learned a lot and the assignments were the right kind of challenging.

par NEVIN T K

Jun 25, 2020

Great course! The swirl courses in particular helped me to learn more

par Elaine E

Dec 08, 2019

I think this was a great intro course to graphing and exploring data!

par Natalie R

Jan 25, 2019

Fantastic way to learn graphing systems in R and exploratory analysis

par Karan B

Mar 04, 2018

Excellent course

Swirl lesson makes learning data science much easier

par Sandhya A

Feb 25, 2018

I learnt a lot about plotting system and about exploratory research.

par 邱培培

Dec 24, 2016

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

par Bill K

Feb 10, 2016

Really great class that teaches tools you can put to use right away.

par YUCHEN Z

Apr 09, 2020

very rice content! I like it. help me understand PCA SVD throughly.

par Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

par Satendra P S P

May 02, 2017

its one of the most powerful and skillful course for data scientist

par Sebastian R

Mar 07, 2017

Great to understand clustering analysis and create beautiful graphs