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

4.7
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5,522 évaluations
794 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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151 - 175 sur 764 Avis pour Exploration analytique de données

par Kyle H

Jan 17, 2018

Great course for plotting basics. Also really enjoyed the sections on SVD, PCA and Clustering.

par Alessandro S

Nov 23, 2017

Este é um ótimo curso, com referencias muito boas e o Swirl ajuda muito a treinar os conceitos.

par Vincent G

Jul 03, 2017

very good and insightful course delivered at the right level with good examples and excersises

par Wayne H

Mar 03, 2017

Good introduction to graphics systems and principles. Practical exercises are well conceived.

par Jamie M

Jul 28, 2018

Thoroughly enjoyable with an excellent method of measuring the learning outcomes at the end.

par Atul G

Jan 29, 2018

It helps lerner to know whether the capture data can help him to get answer to his question.

par Alberto G

Sep 12, 2018

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

par Ricardo R

Oct 24, 2016

Excelent course! Very direct and informative, leaving many doors open to individual quests.

par Ghazouan S

Oct 03, 2016

I love all those courses, I have learned so much and I'm planning to complete all 10 units.

par Pratama A A

Jul 24, 2020

I encourage to read the book ,and learn the unsupervised machine learning algortihm better

par Thiago

Aug 12, 2019

Course material and projects help a lot in learning and improving data analysis techniques

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 Damjan S

Jun 10, 2017

This was the course that I've enjoyed it the most. Especially the data visualization part

par Anusha V

May 30, 2017

Amazing course. challenging and you learn a LOT (particularly about graphics tools in R).

par Nishchal S

May 17, 2016

Some functions are so tough to remember but general ideas that i received is wonder full.

par Ray W

Feb 22, 2016

Pretty useful introduction to various plotting tools and some deep down insights as well.

par Isaac C B

Mar 12, 2018

Im really learning because of the exercises, they are very efficient!!

congratz coursera

par niki a

Mar 13, 2017

Nice course! Workload was just about right. clear lectures and well-designed projects.

par Gabriella J

Feb 26, 2017

Great course! It have been very useful for my job as data scientist! Thank u very much!

par ONG P S

Jan 16, 2020

As an auditor, this course taught me to see things more clearly from different angle.

par Сетдеков К Р

Jan 23, 2019

This is a great course on plotting data as well as finding underlying patterns in it.

par Nannette O S

Apr 16, 2018

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

par Warwick T

Jun 15, 2017

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

par Gioachino B

Jan 03, 2017

Excellent training! Lectures are easy to understand and let you focus on the subject.

par Avizit C A

Jan 31, 2019

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