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

4.7
4,828 notes
•
684 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

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.

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!

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76 - 100 sur 657 Examens pour Exploration analytique de données

par Saqib A

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Mar 25, 2018

recommended course

par Tanuj S

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Feb 20, 2018

Amazing course content & assignments! Thanks.

par Dimitrios G

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Mar 21, 2017

Great course, really gives an insight on how you can get a set of data and actually make some sense from it.

par Tim S

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Apr 19, 2016

For someone new to data analytics, this was another great, rewarding course. But as with the others, it demands exploration beyond the lectures and course materials.

par Emmet C

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Jan 09, 2017

Excellent introduction to various graphics packages in R. I've already been able to apply these skills in my job.

par k.saikiran r

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Jun 30, 2016

This course served as a great introduction to R and helped me to get ease with R

par Ivan G

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Nov 15, 2016

Fun and good approach on exploratory data analysis

par Carl W

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Jun 26, 2018

Feels like things are starting to come together. Good class.

par Diana S

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Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par William G C

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Jan 20, 2017

This is a great course! I really enjoy the pace. Plus, the real world application isn't a bad thing at all either!

par Kristin A

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Oct 31, 2017

Learning how to make plots and play with the data is where data science finally started to get fun!

par Prasad V S

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Jan 31, 2017

Able to learn and understand the way of doing exploratory analysis.

the way of teaching is very good.

par Lluis G

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Nov 28, 2016

Very good course that provides handy tools for data manipulation and representation

par KK Y

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Feb 13, 2016

Extremely practical, yet challenging for a R starter.

par Carlos M B B

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Sep 08, 2017

A very challenging experience!

par Michel P N

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Mar 24, 2017

Really good.

par pranshu s

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Nov 19, 2017

This course along with swirl exercise is really helpful.

par Jacques d P

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Feb 04, 2018

Enjoyed this course. The course content and projects are very relevant to the field.

par Martin M

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Mar 30, 2016

Great fun class I would highly recommend it.

par Nathan D

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Oct 19, 2016

Very solid class in terms of R's base plotting system. I wish Coursera offered an advanced class focusing on ggplot2 and the wider world of dat viz.

par Dmytro K

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Feb 04, 2016

pretty good starter course. I liked 40 min Case Study video at the end. It was very helpful to watch the instructor do the analysis from start to finish.

par Marco A P N

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Jun 02, 2016

Great

par Xiaozhou S

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Nov 01, 2017

Very helpful!

par Luiz A M F

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Dec 26, 2016

Excellent course to develop and understand the technique of data visualization.

par Juliana C

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Sep 25, 2017

Great course to learn how to build nice graphics and do exploratory data analysis