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

5,922 évaluations
865 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

23 sept. 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!

28 juil. 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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126 - 150 sur 834 Avis pour Exploration analytique de données

par Herson P C d M

4 janv. 2017

Excelente curso, requer bastante empenho, mas para quem é entusiasta do assunto como eu é um excelente ponto de partida.

par Amanyiraho R

13 janv. 2020

Very exciting, Did you Know that just by exploring your data can help you reduce the list of models you want to try out

par Erdem Y

13 juin 2017

There should be more content devoted to SVD . more theory and quiz questions and workouts to emphasize the methodology.

par James E H J

30 janv. 2019

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

par Avinash A

30 août 2017

Nice content. Make sure to take the SWIRL course offered. That really helps to get a hold on the course. Recommended!

par Do H L

18 mai 2016

This course is really awesome!

Highly recommend. You'll learn all the data visualization techniques in this course.

par Anthony S

14 févr. 2017

I really learned a lot in this class. I plan on going over the materials as well as taking one of the next courses

par William G C

20 janv. 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 Yergali B

16 mars 2016

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

par Emmet C

9 janv. 2017

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

par José G Z r

23 oct. 2016

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

par Mauricio C

27 janv. 2018

Great tools and insight to start exploring Data. Also great stuff to practice previous training on Data Science.

par Jorge B

13 févr. 2017

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

par Dhananjay M

30 avr. 2017

This course if very helpful. Lectures and assignments provide a great opportunity to gain hands on experience.

par James A

4 mai 2020

Very excellent course structure. Gives you all the bases you need to get you started in exploring your data.

par Ishwarya M

22 juil. 2019

I liked both the course content as well as the assignments. Great course to learn exploratory analysis in R.

par Nathan H

8 oct. 2018

All of the quizes and assignments we're able to be completed with the material provided in the course videos.

par Andrew M T

12 nov. 2017

Brilliant dive into the basics of exploratory data plotting. A very useful course for data science beginners.

par Youcef M

9 août 2021

G​reat course that unpackes difficulties in learning data analysis with R. The Swirl system is just "Great".

par ooi s m

10 juin 2017

great course for fundamental exploratory data analysis, good starting point for using R to do basic analysis

par Dimitrios G

21 mars 2017

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

par Ramesh G

3 juin 2020

Great introduction to exploratory data analysis. Would've been great if more advanced material was covered.

par Nicholas P

30 juil. 2020

Would have preferred a more technical explanation of the dimension reduction techniques, but great overall

par Anne M

24 janv. 2016

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

par Jeff D

19 oct. 2020

The course content is hard but the lecture provides complete concept for this course. Thank you very much