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

4.7
étoiles
5,921 évaluations
864 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
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!

CC
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.

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226 - 250 sur 833 Avis pour Exploration analytique de données

par Luong M Q

20 mars 2017

Very fruitful course on how to approach issues and use plots to deal with it

par Sachin R

19 déc. 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

par Lee Y L R

5 janv. 2018

A very good and concise course, with useful tools to explore data visually!

par Venkatesh

1 juil. 2017

Very interesting way of representing data in pictorial form using R as tool

par Sandra G

1 août 2018

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

par SATHYANARAYANAN S

10 sept. 2017

Very good for anyone wanting to get into the field of Data Science using R

par Jordi A C

24 janv. 2017

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

par Nils N

26 sept. 2016

If you get data, take this course! You will love the course and your data!

par samuel c j

18 juil. 2020

La información que se vio en el curso es relevante y está bien explicada.

par Stefan P L

9 févr. 2018

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

par Ahmed M K

8 janv. 2017

What a wonderful course to undertake. On my way to take all 10 courses :D

par Thiago Y

7 nov. 2020

Excelente, here i learned how explore and extract insights from my data.

par Diana S

11 févr. 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par manuel s g

24 avr. 2020

Very useful course conceptually as well as with excercises and projects

par Laura B

7 juil. 2017

Good info. But I would like to have reminder emails for the due dates.

par Erika G

6 févr. 2016

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

par NEVIN T K

25 juin 2020

Great course! The swirl courses in particular helped me to learn more

par Elaine E

8 déc. 2019

I think this was a great intro course to graphing and exploring data!

par Natalie R

25 janv. 2019

Fantastic way to learn graphing systems in R and exploratory analysis

par Karan B

4 mars 2018

Excellent course

Swirl lesson makes learning data science much easier

par Sandhya A

25 févr. 2018

I learnt a lot about plotting system and about exploratory research.

par PEIPEI Q

24 déc. 2016

This course is very helpful. Thanks for the teachers of this course.

par Bill K

10 févr. 2016

Really great class that teaches tools you can put to use right away.

par YUCHEN Z

9 avr. 2020

very rice content! I like it. help me understand PCA SVD throughly.

par Bojan B

14 oct. 2018

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