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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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351 - 375 sur 668 Examens pour Exploration analytique de données

par Ishwar N

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Feb 18, 2018

Highly recommended course for budding data scientist. I loved the John Hopkins univ pedagogy and peer review system. The content is great.

par Yergali B

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Mar 16, 2016

I strongly suggest for future Data scientist, if you know R language with making Plots, you can be a good analytic

par Jean P L

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Feb 03, 2017

I love these courses

par Wassim K

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May 25, 2017

very nice

par Alfredo A

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Feb 06, 2018

This was a great course. I learned how to use several graphic systems within R, and to imagine how to make clear answers to questions using plots.

par Robert M M

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Dec 08, 2017

Examples and lectures were excellent.

par Anne M

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Jan 24, 2016

Excellent class with easy-to-understand videos. The quizzes and homework really help me master the topics.

par Francisco G

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Feb 01, 2016

Swirl is really great!

par Maurice E

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Sep 27, 2017

Very fun and challenging course.

par Warwick T

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Jun 15, 2017

Very enjoyable course although I think the workload could be more evenly distributed.

par Dandy M H

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Apr 17, 2016

Really useful and easy to understand

par Kristin K

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Aug 10, 2017

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

par Jorge B

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Feb 13, 2017

Great Course, that require to use all the topics you have learned in the previous courses of the specialization.

par George O O

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Apr 24, 2018

Great!

par GERALDO A

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Oct 25, 2017

Curso excelente

par Sandeepkumar P

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Feb 02, 2016

Wonderful course with lot of graphical representation of the data. Dimensional reduction and Clustering analysis needs a bit more detailed explanation.

par Mengyin B

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Sep 07, 2016

helpful.

par José G Z r

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Oct 23, 2016

Very interesting course. the week 3 is the most challenging and the practical case of week 4 is quite cool also !

par Francisco J P P

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Aug 10, 2017

Excelente curso, gran aprendizaje!!!

par Ned C

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Jul 06, 2017

Extremely useful

par Edith

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Feb 02, 2016

Great course!

par Larry G

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Feb 07, 2017

Nice

par Benedict R R

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Nov 04, 2016

Interesting. endless plotting possibilities

par Mikit K

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Oct 22, 2016

Graphical Methods are taught in a very good way.

par Iphigenia-Danae K

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Jan 30, 2017

Awesome course, with a very detailed step by step approach