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學生對 约翰霍普金斯大学 提供的 探索性数据分析 的評價和反饋

4.7
5,946 個評分
871 條評論

課程概述

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....

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Y
2017年9月23日

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
2016年7月28日

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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76 - 探索性数据分析 的 100 個評論(共 840 個)

創建者 Mathew K

2019年12月29日

Great intro to plotting and related tools in R. Will say that the coverage of heatmaps and PCA felt a little out of left field, with very little intuition. However, overall quite good.

創建者 Marco A I E

2018年8月9日

Loved it! It took me longer than expected due to work and family issues, but I went so many times to the materials and even use some ggplot2 for work that ended being quite fulfilling.

創建者 Chris B

2017年1月12日

I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.

創建者 Leonardo M d O

2017年11月6日

Excellent course. I learned more than I expected. A technique that was always at hand but never used: perform analysis through graphics exploring countless variables at a single time.

創建者 Yudhanjaya W

2017年6月6日

This was incredibly useful because it gives you a feel for the datasets and tools with which to explore them. I really wasn't aware of the base and lattice plotting systems until now.

創建者 Nino P

2019年5月24日

Amazing! Learing so much how to explore the data for the first time. This is a must do for anyone who wants to be a data scientist. Now I can use ggplot without any trouble. Thanks!

創建者 Eduardo C

2021年8月5日

good course to get started on the topic of information exploration, as they say it is basic that we understand that to carry out an analysis we must first know the information.

創建者 VÍCTOR M G P

2020年9月28日

Me encantó el curso, fue muy fluido con muy buenos ejemplos y las actividades prácticas fueron realmente un aporte y un desafío para complementar los contenidos entregados

創建者 Manuel A A T

2016年3月27日

This is a great introductory course on the topic and on R language.

You will get acquainted with basic R functions which are most useful for initial statistical analysis.

創建者 Vasco A F R B P

2020年4月5日

One of the most fulfilling courses I've taken. Already used what I've learned to analyse the COVID 19 data and get more information from it, learning at the same time.

創建者 Sanjay L

2018年5月22日

Week 3 - clustering concepts appear hard to comprehend initially. This week should first start with a practical example/use of clustering and then move on to technical

創建者 Asif M A

2016年5月4日

Its one of the most important steps in learning data science. Before even jumping into the real thing, it is worthwhile to explore a little bit the data set at hand.

創建者 Tim S

2016年4月18日

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.

創建者 Giovanna A G

2016年10月15日

Prof. Peng teaches you not only how to use the r base plotting system but also how to make wonderful graphs using the lattice and ggplot2 packages. Awesome course!

創建者 Rob S

2020年1月21日

Very good resume of the previous lessons, you lear plotting, charts, working with big matrices, create a good practical workflow to understand your first analyses

創建者 Piotr K

2016年10月23日

Material teached in this course is must have for everybody who wants to use R for Data Science. Exploratory Data Analysis is one of first steps in every project.

創建者 Araks S

2017年6月20日

Great course, an excellent instructor who makes the videos easy to watch and listen.

Assignments were very important to me, as I learned a lot while doing it.

創建者 Gary T

2019年8月20日

I learned a lot, this course more than others, really expanded my competence and appreciate for the capabilities of R, especially is visualization toolbox.

創建者 Jeffrey G

2017年7月6日

Great course. Really does a good job of describing the goal of EDA and getting people excited about what questions you might be able to answer with data.

創建者 王昊辰

2018年12月11日

The data used for training are too big to be processed on my computer....

It is a real burden for my laptop when I use Rstudio to view some big files.....

創建者 Dmytro K

2016年2月3日

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.

創建者 Deleted A

2018年7月23日

Excellent course!

Congratulations and thanks to the teachers of this course for sharing their knowledge on such an engaging subject that is Data Science.

創建者 David J G

2016年2月3日

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.

創建者 Sandeepkumar P

2016年2月2日

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

創建者 Nathan D

2016年10月18日

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.