Chevron Left
Retour à Exploration analytique de données

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

4.7
4,938 notes
703 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!

Filtrer par :

351 - 375 sur 675 Examens pour Exploration analytique de données

par Jacques d P

Feb 04, 2018

Enjoyed this course. The course content and projects are very relevant to the field.

par Carl W

Jun 26, 2018

Feels like things are starting to come together. Good class.

par Karel Š

Feb 03, 2017

Nice but basic course.

par Pablo M

Mar 07, 2017

Excellent Course, really enjoyed it and learnt a lot!!!

par Anya M

Jan 08, 2016

Great knowledge!

par Jeronimo B d C J

Apr 27, 2016

Very well explained and didatical! Thanks for the course!

par Tan K T

Feb 29, 2016

Muito bom,.

par Piotr K

Oct 23, 2016

Material teached in this course is must have for everybody who wants to use R for Data Science. Exploratory Data Analysis is one of first steps in every project.

par kathy0305

Jun 01, 2016

I enjoyed this course.

par Linwood C I

Mar 07, 2016

I loved this course!! All of the classes taken in the specialization all come together for practical use. Course 2 is where it really kicked in. Students will learn how to use R to explore data sets that send you down interesting paths.

par Travis M

Jan 25, 2016

A worthwhile course that breaks down methods for doing initial data analysis to get a rough feel of the data. It provides enough useful information about the 3 plotting systems in R and how they differ to allow the student to do sufficient exploration on his or her own.

par Erika G

Feb 06, 2016

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

par Pramod N

Jan 15, 2016

much better presentation

par Edgar H R L

Jun 07, 2016

Excelent course.

par Nathan M

Jun 11, 2016

Nice introduction to graphics in R!

par Sinan J H

Feb 22, 2016

perfect

par Denise O

Apr 04, 2016

Great practical lessons on using plotting in R to analyze the data.

par Glenn M

Sep 24, 2016

I really enjoyed all of the data visualization techniques and packages that were covered in this course.

par Nitesh K S

Aug 31, 2016

Excellent course with in depth analysis. A must for anyone who sees his/her future in data analysis.

par Emanuele M

Mar 08, 2016

Very important course towards th specialization and well done!

par Mehrdad T

Sep 09, 2017

EDA is essential part of data analysis and in this course the concept is well covered especially through the assignements.

par UDBODH

May 04, 2016

Nice Course

par Predrag M

Mar 12, 2016

Great course

par Vivekananda R C

Feb 08, 2016

So nice

par Sourav B

Jul 12, 2017

Great first step towards data science