Chevron Left
Retour à Exploration analytique de données

Avis et commentaires pour d'étudiants pour Exploration analytique de données par Université Johns-Hopkins

5,922 évaluations
865 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

23 sept. 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!

28 juil. 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.

Filtrer par :

151 - 175 sur 834 Avis pour Exploration analytique de données

par Yi-Yang L

17 mars 2017

Favorite course until now in this track. The visualization is very helpful for both academics and career.

par Yasel G S

4 août 2016

This course was very important for my work. I learned so much and I want to say thanks to the professors.

par Johan V M

8 juin 2020

The skills I acquired thanks to this course are really useful. I'm eager to dive deep into Data Science.

par Ravi K

4 nov. 2016

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

par Glenn M

23 sept. 2016

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

par Paul A

22 mai 2016

Excellent course. Very accessible yet an extensive overview of techniques in exploratory data analysis.

par Rahul P

17 janv. 2018

Good Course!!! Didn't know anything about R Exploratory Data Analysis before but now it seems easy..

par George G A

20 août 2017

Probably one of the most fun courses I have taken so far. It is an important step in every analysis.

par Vijay P S

30 janv. 2017

Able to learn and understand the way of doing exploratory analysis.

the way of teaching is very good.

par Nitesh K S

31 août 2016

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

par Gustavo T P

26 sept. 2018

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

par Kristin A

31 oct. 2017

Learning how to make plots and play with the data is where data science finally started to get fun!

par Rizwan M

1 mars 2019

please provide some practical problems with answers to practise before attempting the assignments


29 août 2017

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

par Kristin K

9 août 2017

Very helpful course. It is the type of class that gets you excited for the new things you can do.

par Nikhil J

17 oct. 2019

Very useful class, I have already started using the learnings. Its easy and quick to understand.

par Marco M

23 oct. 2020

An excellent course, with a well-balanced mix of videolectures, labs, quizzes, and assignments.

par Kyle H

17 janv. 2018

Great course for plotting basics. Also really enjoyed the sections on SVD, PCA and Clustering.

par Alessandro S

23 nov. 2017

Este é um ótimo curso, com referencias muito boas e o Swirl ajuda muito a treinar os conceitos.

par Vincent G

3 juil. 2017

very good and insightful course delivered at the right level with good examples and excersises

par Wayne H

3 mars 2017

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

par Jose L S V

16 mars 2021

Muy buen curso para comenzar a utilizar las herramientas de R para explorar y analizar datos.

par Jamie M

28 juil. 2018

Thoroughly enjoyable with an excellent method of measuring the learning outcomes at the end.

par Atul G

29 janv. 2018

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

par Alberto G

12 sept. 2018

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