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

4.7
4,950 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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401 - 425 sur 676 Examens pour Exploration analytique de données

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 Guillermo S R P

Sep 07, 2017

Excelente!!!

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 Karan B

Mar 04, 2018

Excellent course

Swirl lesson makes learning data science much easier

par Balinda S

Dec 11, 2016

T

par Christopher B

Jan 03, 2017

A nice overview of data exploration techniques.

par Aleksander Z

Feb 13, 2017

Thank you very much. I enjoyed the course a lot. I recommend it!

par Kumaraguru

Nov 30, 2016

Good course worth taking

par Atul G

Jan 29, 2018

It helps lerner to know whether the capture data can help him to get answer to his question.

par Marat K

Dec 02, 2017

Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful

par Samir A G

Oct 23, 2016

Thank you very much, it was very interesting !!

par xuanru s

Nov 28, 2016

GREAT TEACHING IN GRAPH, I LOVE THAT PART

par Ajinkya D

Feb 02, 2017

Well Structured Course, Learnt a lot from it

par Johann R

May 28, 2017

Graphs and plotting is at the heart of data analysis and data science, and without it you would have difficulty conveying ideas, and having graphs to explain numerical/statistical data is always handy. Visual representation of a data set, and using visual cues to gain an understanding of data, can save a lot of time, and can help you gain additional insights into the data. This course teaches you key techniques on how to apply some graphing and plotting methods to visually explore data, and it does so really well and in great detail, and also provides some good demos.

par Muzaffar H

Aug 29, 2017

Extremely useful for me when doing my analytic works and few workaround on the programming level.

par Sherrod B

Aug 11, 2017

Peer reviews of other people's work extremely helpful. Learned more from that than any other part of the course. Thanks.

par Nataliia M

Jul 14, 2017

Nice course

par Berthold J

Apr 25, 2017

Very instructive!

par Khairul I K

Feb 09, 2017

2 thumbs up

par 赵东昱

Dec 04, 2016

Excellent course, I really enjoy it

par Mauricio C

Nov 19, 2016

Fenomenal

par Amelia L

Nov 01, 2016

Great intro to R plotting

par Erik P

Sep 28, 2016

Excellent Course!

par Delfin J M S I

Jun 26, 2017

Great course! I learned a lot!