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

4.7
4,937 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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401 - 425 sur 675 Examens pour Exploration analytique de données

par xuanru s

Nov 28, 2016

GREAT TEACHING IN GRAPH, I LOVE THAT PART

par Balinda S

Dec 11, 2016

T

par Jishan H

Apr 04, 2017

Great course!

par Greg B G

Sep 01, 2017

great luv ggplot

par Rishabh J

Aug 22, 2017

I found Prof. Roger Peng to be the best instructor in this specialization. This course just proves my point further. He teaches different concepts in a lucid manner. These concepts were presented in a way that could be applied to real world data sets right away. Awesome course!

par Ganesh S

May 27, 2016

Awesome course.

par Javier R P

Nov 29, 2016

Excellent class!

I totally recommend it

par Yusuf S

May 20, 2016

great

par Vinicio D S

Dec 19, 2017

For plotting methods, one of the best courses out there

par NISHANT P

Oct 05, 2017

Very insightful course!!!

The swirl packages and course projects in "Exploratory Data Analysis" course have really helped me to understand the power of R in performing introductory graphical analyses towards initial inferences. It has good hands-on exercises to really put to action various sophisticated graphs and plots for boardroom conversations on how to go deeper into the data analysis in order to find meaningful business insights or build powerful predictive models. As I advance through the specialization, I am getting to realize how powerful Statistical Learning through R is for quick business action and automation.

par Na K L

Dec 05, 2016

Engaging main instructor and structured lecture notes

par Govind N

Aug 10, 2016

Good course

par Stefan P L

Feb 09, 2018

Overall good course! Though I hope there is more exercise in SVD/PCA part

par Tan S L

May 10, 2017

Useful course but it is quite intense

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!

par Satendra P S P

May 02, 2017

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

par Choo E

Jul 17, 2017

I really appreciate this course.

par Marcelo S

Dec 11, 2017

Great Course. Week 3 requires a bit of mathematical savvy (google SVD/PCA), but since there is no quiz, it won't affect your ability to finish the course, just your ability to fully understand what you are doing. The last project was a bit challenging, which is always good, but most of the information to complete it and earn full marks is in the discussion forums as usual.

par Maggie L

Aug 21, 2017

clustering and svd are quite c

par 李俊宏

Oct 04, 2017

Good lecture about R graphics!

par A. R C

Jul 03, 2017

I enjoyed it a lot. Thanks to the teachers.

par 陈颐欢

Apr 23, 2018

非常好的课程!