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

4.7
4,940 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

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!

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.

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426 - 450 sur 675 Examens pour Exploration analytique de données

par Satendra P S P

May 02, 2017

its one of the most powerful and skillful course for data scientist

par Pradeep S

Jan 21, 2018

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

par Sachin R

Dec 19, 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

par Athanasios S

Jul 17, 2018

Very good class. Of the four I've taken so far, this one has given me the most confidence that I could be successful as a data scientist/analyst.

par Sandra G

Aug 01, 2018

Great course, I have improved my skill plotting in R and organizing files.

par Ajendra S

Sep 04, 2018

Short course for understanding the subject.

par Shashwat K

Sep 07, 2018

good course

par Savitri

Sep 10, 2018

Best course to move in the field of Data Science and those who are starting on this field to move towards data science and Machine Learning this is gone help them so much. As the assignment part and the lectures are guided to you this gonna make you feel like best to have this course.

par Alberto G

Sep 12, 2018

Very interesting and useful for its applicability to a lot of different professional areas.

par Kidpea L

Sep 25, 2018

it helps a lot!

par Gustavo T P

Sep 26, 2018

Good course, the subject is starting to get more interesting at this point of the specialization...

par David R

Oct 22, 2018

An extremely interesting course, with many practical applications many of which I've applied in my day to day work already.

par Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

par Marco A I E

Aug 10, 2018

Loved it! It took me longer than expected due to work and family issues, but I went so many times to the materials and even use some ggplot2 for work that ended being quite fulfilling.

par Dr. M H A J

Aug 10, 2018

Amazing!

Thanks for you efforts.

par Michael S

Aug 10, 2018

Work thru the Swirl exercises definitely helped. Great course.

par Pooia L

Aug 31, 2018

I loved it, it improved my R skills in plotting and also gave me nice insights!!!

par Qingchuan C

Nov 07, 2018

Some real stuff

par Gustavo C G

Nov 15, 2018

Great knowledge and instructor, as usual.

par Nathan H

Oct 09, 2018

All of the quizes and assignments we're able to be completed with the material provided in the course videos.

par Raunak S

Oct 11, 2018

awesome course to learn exploratory data analysis using R programming language.

par Longrio P

Aug 20, 2018

Da best

par Gaurav B

Sep 16, 2018

Loved it , the K means was pretty difficult for me but others was a breeze as i had experince in ggplots before the course

par John A R B

Sep 22, 2018

The exploratory data analysis is a very important part of the elaboration of a data product because this period helps to understand the most important variables and the elements to construct models and visualize an early result.

par Anitha K

Nov 28, 2018

Excellent and thank you very much!