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

4.7
4,891 notes
696 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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26 - 50 sur 668 Examens pour Exploration analytique de données

par Rizwan M

Mar 01, 2019

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

par Hathairat W

Feb 09, 2019

The course is definitely useful for my job. I learned new skills and had fun!

par Gat T

Jan 27, 2019

I really liked this course. I felt like a learnt a lot especially with all of the projects

par Aman U

Jan 30, 2019

Fabulous

par James E H J

Jan 30, 2019

Great course to learn how to play with data - a good intro to things like Kmeans and hierarchical clustering, as well.

par Avizit C A

Jan 31, 2019

A very good course describing commonly used graphical techniques with good examples.

par Charbel L

Jan 19, 2019

Excellent course. Love the case studies

par Scott A

Apr 01, 2019

Excellent course!

par Crystal

Apr 02, 2019

Fun, and I enjoyed what I learned, which was a lot.

par carlos j m

Apr 05, 2019

I am truly enjoying this course and the process.

par Tae W O

Apr 06, 2019

It was a good and a useful lecture for R beginner !

par Vishal K K

Apr 06, 2019

amazing course

par Manuel E

Apr 09, 2019

Good practice.

par Janet A R

Mar 14, 2019

thank you

par Parker O

Feb 05, 2019

This has been very exciting!

par Justin A B

Feb 14, 2019

Thank you for this course. I really learn a lot!

par Qaiser i

Jul 15, 2018

Best Course i have taken ... THANKS Roger

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 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 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 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 Alberto G

Sep 12, 2018

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

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 Dr. M H A J

Aug 10, 2018

Amazing!

Thanks for you efforts.