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

4.7
4,837 notes
685 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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226 - 250 sur 657 Examens pour Exploration analytique de données

par Vijay M

Apr 30, 2018

Great course to learn the basics of exploratory analysis using R

par Charles K

Feb 06, 2016

Covers all the basics of visualization in R. Well structured and there is plenty of opportunity to practice your newly acquired skills.

par Glenn M

Sep 24, 2016

I really enjoyed all of the data visualization techniques and packages that were covered in this course.

par Nitesh K S

Aug 31, 2016

Excellent course with in depth analysis. A must for anyone who sees his/her future in data analysis.

par Rodrigo d C

Jun 29, 2016

Great!! I highly recommend this course.

par Light0617

Aug 07, 2016

It is powerful and useful, In particularly for students!

par Qasim Z

Oct 26, 2016

Wonderful primer on how to get thinking creatively about data.

par Linwood C I

Mar 07, 2016

I loved this course!! All of the classes taken in the specialization all come together for practical use. Course 2 is where it really kicked in. Students will learn how to use R to explore data sets that send you down interesting paths.

par Travis M

Jan 25, 2016

A worthwhile course that breaks down methods for doing initial data analysis to get a rough feel of the data. It provides enough useful information about the 3 plotting systems in R and how they differ to allow the student to do sufficient exploration on his or her own.

par Juan P S

Jan 12, 2016

Practical, applicable, best instructors

par Nikodem L

Feb 09, 2016

This has been a great course. Accompanies by a book, it constitutes a great piece of material about exploring and visualizing data.

par Fernanda H P G

May 30, 2018

Great course!

par Billy J

Apr 07, 2016

Good course

par Pratyush D

Feb 16, 2016

Very good course. Explains some very peculiar concepts of PCA and SVD very clearly.

par Craig S

Oct 29, 2017

Great! Really useful course!

par SATHYANARAYANAN S

Sep 11, 2017

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

par Melissa H

Mar 07, 2016

Kick-started me into using graphs in R!

par Katarzyna P

Jan 14, 2016

Very helpful and great lectures!

best regards,

Kasia

par Sylvio C N

Oct 03, 2016

Great course

par Jonathan S

Oct 11, 2016

Great Course, Swirl is really where the value comes from

par Tad S

Feb 01, 2016

If you know some R programming and want to learn how to generate plots for your data analysis, this course will give you a good start. I highly suggest doing swirl exercises after watching the lecture videos to reinforce your understanding of the course materials.

par David J G

Feb 03, 2016

I think this is a great course. I learned a lot about data plotting and some multivariate techniques for understanding underlaying patterns of the data.

par Nikolai K

Nov 06, 2017

It helped me a lot!

par Dorian P

Jun 06, 2017

very nice course

par Camilo A A

Mar 01, 2017

Excellent course!