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
4,979 notes
707 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.

Filtrer par :

251 - 275 sur 681 Examens pour Exploration analytique de données

par Tai C M

Sep 23, 2017

This course is quite helpful. Especially the part which we learned to use ggplot.

par Ganesh P

Nov 29, 2017

V

par Amit K R

Nov 21, 2017

ok

par Jay B

Aug 15, 2017

good

par Yusuf E

Jan 05, 2018

This course is nice but ggplot should have been given more emphasis probably. I really enjoyed the sections on SVD and PCA as these really require mathematical maturity. Other than that solid introduction to the plotting systems in R which is a must have. This course coupled with Applied Charting with Python will complete my skillset. Looking forward to the rest of the specialization.

par JEEWESH K J

Oct 09, 2017

Course is very good.

par abhishek p

Jun 29, 2018

very well explained .

par Ganapathi N K

May 01, 2018

Nice

par Sanjay L

May 22, 2018

Week 3 - clustering concepts appear hard to comprehend initially. This week should first start with a practical example/use of clustering and then move on to technical

par Djafer T

Mar 05, 2018

Excellent course!

par Andrew M T

Nov 12, 2017

Brilliant dive into the basics of exploratory data plotting. A very useful course for data science beginners.

par Nannette O S

Apr 16, 2018

Great course. The case studies are extremely helpful as well as the SWIRL exercises.

par Admetos A

May 28, 2018

Found this course very impressive and challenging. Looking forward for the next.

par T, K

Jul 01, 2018

Great Course !

par sneha

Jan 16, 2018

the best course ever to understand gg plot

par Jordi A C

Jan 24, 2017

Very interesting course on plotting with R and much more! I've enjoyed it.

par Adi T

Jan 21, 2017

It starts to get a little more technical and complicated when I reach Week 3. A lot of things about Dimension Reduction and K-means method. I would love to have some assignments or exercises on that.

Other than that, I love this module.

par Sai P G

Jun 12, 2017

excellent

par Saurabh S

Mar 11, 2018

good course of learn

par 吴昊

Apr 29, 2018

Very good course. I learn how to do the exploratory analysis

par Guillermo S R P

Sep 07, 2017

Excelente!!!

par swetha

Jul 11, 2017

Excellent Course

par Ajinkya D

Feb 02, 2017

Well Structured Course, Learnt a lot from it

par Johann R

May 28, 2017

Graphs and plotting is at the heart of data analysis and data science, and without it you would have difficulty conveying ideas, and having graphs to explain numerical/statistical data is always handy. Visual representation of a data set, and using visual cues to gain an understanding of data, can save a lot of time, and can help you gain additional insights into the data. This course teaches you key techniques on how to apply some graphing and plotting methods to visually explore data, and it does so really well and in great detail, and also provides some good demos.

par Bhagya L P R

Jul 22, 2017

Very informative