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

4,985 notes
709 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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451 - 475 sur 681 Examens pour Exploration analytique de données

par Vishal K K

Apr 06, 2019

amazing course

par Faylene T G

Mar 24, 2019

Very good content !

par Manuel E

Apr 09, 2019

Good practice.


May 13, 2019

great cousre

par Nino P

May 24, 2019

Amazing! Learing so much how to explore the data for the first time. This is a must do for anyone who wants to be a data scientist. Now I can use ggplot without any trouble. Thanks!

par Jorge B S

May 28, 2019

Very useful course with interesting contents.

par Santi M

Jun 12, 2019

Good course

par Diego A Q

Jun 18, 2019

Great course, it teaches you a lot about how to create plots, charts and other tools using R code. This course is focused on "get to know your data" by using all this tools during a research process. It is like the previous step you have to do before going into any analytics.

par Amy B P

Jun 18, 2019

Very well formed course. Enjoyed the course and projects.

par Maria A P d S

Jun 24, 2019

Great content!

par Marta R

Jun 28, 2019

Really good course, with amazing videos and examples. I have learned a lot and I think the projects were really interesting.

par Elimane N

Jul 03, 2019

That's a great and very usefull course!

par José S C S

Jul 07, 2019

This course teaches how to use three different plotting systems in R. Given the dominance of the tidyverse/ggplot2 paradigm, I really appreciate the opportunity to learn the base plotting system and the lattice plot system.

par Alex B

Jul 13, 2019

This series has been life changing for me. Thank you.

par Ishwarya M

Jul 22, 2019

I liked both the course content as well as the assignments. Great course to learn exploratory analysis in R.

par Robert J C

Jul 25, 2019


par Mohapatra L

Jul 26, 2019

Good Course with proper explanations and lot of practices.

par Felix E

Jul 29, 2019

Good Course. Would've like a bit more about more advanced plotting and less about clustering techniques but that is probably mainly down to what data each is intending on handling after this course.

par Thiago

Aug 12, 2019

Course material and projects help a lot in learning and improving data analysis techniques

par amir s

Aug 13, 2019

very good course

par William B B

Jun 12, 2019

Excellent course and applicable in my work right now

par Gary T

Aug 20, 2019

I learned a lot, this course more than others, really expanded my competence and appreciate for the capabilities of R, especially is visualization toolbox.

par Henrique R G

Aug 21, 2019

Thank you for opportunity to improve each day.

par Angela C

Sep 10, 2019

The BEST course in the series by far. You finally get your hands on some data.

par Jakub K

Sep 10, 2019

Perfect and thank you