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

4.7
4,947 notes
704 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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376 - 400 sur 676 Examens pour Exploration analytique de données

par Anusha V

May 30, 2017

Amazing course. challenging and you learn a LOT (particularly about graphics tools in R).

par Eric T

Apr 24, 2017

Very helpful class.

par Christopher G

Aug 17, 2016

Very interesting content- going to be useful in my career

par Kevin Z

Oct 23, 2016

It's extremely useful to learn how to make plot using R

par Philippine R

May 22, 2017

This was a really useful module. I keep referring back to it.

par Saravanan

Mar 02, 2017

useful course for me . thanks to my tutor

par reem z

Jun 23, 2018

A great course I had to do research on the side to get some ideas and concepts that were presented in this course.... if this was my first course i would have found that not a good thing . However, every time i search i get better as a data science student and i know what to search for and how to find it and i think this is essential if you want to be a data scientist :)

par Karan B

Mar 04, 2018

Excellent course

Swirl lesson makes learning data science much easier

par Wayne H

Mar 03, 2017

Good introduction to graphics systems and principles. Practical exercises are well conceived.

par 刘博

Feb 03, 2017

good course!

par 刘治

Jul 18, 2016

good

par saroj r

May 14, 2016

i like it

par Albert C G

Sep 02, 2016

Great Course

par Abhishek B

Dec 21, 2017

Great work on graphing & charting

par Arnaud A

Mar 24, 2018

Clear, demanding, and sharp !

par Bharadwaj D

Jan 28, 2017

It was an amazing ride

par Vineet J

Feb 03, 2017

nice experience

par James A

Nov 28, 2016

Very excellent course structure. Gives you all the bases you need to get you started in exploring your data.

par Amanuel G

Jan 06, 2017

It was a wonderful experience to read the structure of data before delving into the advanced statistical levels of data analysis.The need for inclusion or exclusion of dependent variables or dimension reduction in regression analysis can be intuitively understood and visualized using Data Exploratory techniques and then we have the clue as what to do in the next level.It is like putting the whole characteristic of the data under full control.

par Pradeep S

Jan 21, 2018

Very useful subject on churning data to derive meaningful and actionable insights

par Ravi K

Nov 04, 2016

Excellent course but would have helped better if there would have been assignment related to clustering.

par Saurabh G

Apr 14, 2017

nice

par Chris B

Jan 12, 2017

I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.

par BAUYRJAN J

Nov 01, 2016

Great course

par Samir A G

Oct 23, 2016

Thank you very much, it was very interesting !!