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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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101 - 125 sur 657 Examens pour Exploration analytique de données

par André V d C

Feb 02, 2016

Muito bom o curso com abordagem das formas de exploração dos dados via gráficos. Não achei um curso pesado e denso mas substancial para o aprimoramento na linguagem R e na ciência de dados.

par Craig

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.

par Omar

Dec 14, 2016

One of the best parts is the introduction of Singular Value Decomposition and Principal Component Analysis. Also does K-means and other clustering.

I would recommend reading the handouts to you get the math behind the technique.

par Jose A R N

Oct 20, 2016

My name is Jose Antonio from Brazil. I am looking for a new Data Scientist career.

Please, take a look at my LinkedIn profile: https://www.linkedin.com/in/joseantonio11

I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

par Anthony S

Feb 14, 2017

I really learned a lot in this class. I plan on going over the materials as well as taking one of the next courses

par Yadder A G

Nov 12, 2017

I enjoy a lot this course, but I was waiting for more assignments with plots

par Sandhya A

Feb 25, 2018

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

par NAMAN J

Apr 15, 2016

Good Course

par Marco B

Jan 15, 2017

I love this course!

par ooi s m

Jun 10, 2017

great course for fundamental exploratory data analysis, good starting point for using R to do basic analysis

par Yang L

Apr 17, 2017

Good course.

par Viktor S

Jun 22, 2017

Excellent course!

par Nikodem L

Feb 09, 2016

This has been a great course. Accompanies by a book, it constitutes a great piece of material about exploring and visualizing data.

par Fernanda H P G

May 30, 2018

Great course!

par Billy J

Apr 07, 2016

Good course

par Jean M

Mar 21, 2016

Excellent

par Frank S

Dec 05, 2017

Well organized contents and great instructors.

par Davi L C

Feb 29, 2016

Great course!

par Tan W M

Jun 21, 2016

Good hand-on class

par Bill K

Feb 10, 2016

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

par Utku K

Mar 05, 2016

Very good. I enjoyed and learned a lot.

par Pratyush D

Feb 16, 2016

Very good course. Explains some very peculiar concepts of PCA and SVD very clearly.

par Craig S

Oct 29, 2017

Great! Really useful course!

par Katarzyna P

Jan 14, 2016

Very helpful and great lectures!

best regards,

Kasia

par SATHYANARAYANAN S

Sep 11, 2017

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