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视频来源 coursera
探索性数据分析

MP4格式的为视频，srt格式的为对应的字幕，pdf为对应的课件
Exploratory Data Analysis: Pre-Course Survey

Thanks for signing up for Exploratory Data Analysis. As you probably know, this course is part of the Data Science Specialization, a sequence of nine massive open online courses (MOOCs) plus a Capstone project. We would like to learn more about your motives for taking this course and your intentions for both this course and the overall specialization. To that end, please complete our short pre-course survey. It should only take about 3 minutes of your time.

Click here to launch the survey: https://www.surveymonkey.com/s/YH3SWGP

Thanks,

The Data Science Team

Exploratory Data Analysis: Week 1

I'm very excited to start Exploratory Data Analysis, and I hope you are too. This is the fourth course in the Data Science Specialization. Exploratory data analysis (EDA) is a key element of data science because it allows you to develop a rough idea of what your data look like and what kinds of questions might be answered by them. EDA is often the "fun part" of data analysis, where you get to play around with the data and, well, explore! As of now, the course web site on Coursera is open. You are free to start watching lecture videos, taking the quizzes, and looking at the two Course Projects.

The recommended background for this course is the course The Data Scientist's Toolbox and R Programming. It is possible to take this class concurrently with that class but you may have to read ahead in the prerequisite class to get the relevant background for this class. The good news is that we will offer all courses in the Specialization every month, so if you don't feel ready to take on Exploratory Data Analysis this month it will start again next month! For a complete set of course dependencies in the Data Science Specialization please see the course dependency chart.

As you browse the course web site, please make sure to read through the syllabus which contains important information about the grading policy for the Quizzes and Course Projects as well as the course schedule. Please note that Quiz 1 and Course Project 1 are both due BEFORE 11:30 PM UTC this coming Sunday. You can access Quizzes and Course Projects by clicking the corresponding links in the left navigation bar.

The primary way to interact with me in this course is through the discussion forums. Here, you can start new threads by asking questions or you can respond to other people's questions. If you have a question about any aspect of the course, I strongly suggest that you search through the discussion boards first to see if anyone as already asked that question. If you see something similar to what you want to ask, you should up-vote that question using the up-arrow button rather than asking your question separately. The more votes a question or comment gets, the more likely it is that I will see it and be able to respond quickly. Of course, if you don't see a question similar to the one you want to ask, then you should definitely start a new thread on the appropriate forum.

This week will cover the basics of analytic graphics and the base plotting system in R. I recommend that you watch the videos in the order that they are listed on the web page, but watching the videos out of order isn't going to ruin the story. For each lecture video you can download a separate PDF document of the slides (the demonstration videos don't have slides associated with them).

Watching the videos on the Coursera web site is the best way to watch the lectures. However, there are alternative ways to view the lectures if that suits you. You can download the lecture video MP4 files and watch them locally on your computer.

I hope you enjoy the class. I anticipate a fun four weeks!

Roger Peng and the Data Science Team

Mon 2 Jun 2014 6:20 AM PDT

Exploratory Data Analysis第一部分.zip (18.95 MB, 需要: 5 个论坛币) 本附件包括：

• 1 - 1 - Installing R on Windows.mp4
• 1 - 1 - Installing R on Windows.srt
• 1 - 2 - Installing R on a Mac.mp4
• 1 - 2 - Installing R on a Mac.srt
• 1 - 3 - Installing R Studio (Mac).mp4
• 1 - 3 - Installing R Studio (Mac).srt
• 1 - 4 - Setting Your Working Directory (Windows).mp4
• 1 - 4 - Setting Your Working Directory (Windows).srt
• 1 - 5 - Setting Your Working Directory (Mac).mp4
• 1 - 5 - Setting Your Working Directory (Mac).srt

2014-6-4 21:51:58 上传

需要: 5 个论坛币  [购买]

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关键词：Exploratory Analysis Analysi alysis Analys sequence overall MP4格式 course online

Exploratory Data Analysis第二部分-1.zip (41.43 MB, 需要: 5 个论坛币) 本附件包括：

• 2 - 1 - Introduction.mp4
• 2 - 1 - Introduction.srt
• 2 - 2 - Principles of Analytic Graphics [12-11].mp4
• 2 - 2 - Principles of Analytic Graphics [12-11].srt
• 2 - 3 - Exploratory Graphs (part 1) [9-28].mp4
• 2 - 3 - Exploratory Graphs (part 1) [9-28].srt
• 2 - 4 - Exploratory Graphs (part 2) [5-13].mp4
• 2 - 4 - Exploratory Graphs (part 2) [5-13].srt
• 2 - 5 - Plotting Systems in R [9-34].mp4
• 2 - 5 - Plotting Systems in R [9-34].srt
• 2 - 6 - Base Plotting System (part 1) [11-20].mp4
• 2 - 6 - Base Plotting System (part 1) [11-20].srt
• 2 - 7 - Base Plotting System (part 2) [6-56].mp4
• 2 - 7 - Base Plotting System (part 2) [6-56].srt

2014-6-4 22:03:30 上传

需要: 5 个论坛币  [购买]

Exploratory Data Analysis第二部分-2.zip (24.86 MB, 需要: 5 个论坛币) 本附件包括：

• 2 - 10 - Graphics Devices in R (part 2) [7-31].mp4
• 2 - 10 - Graphics Devices in R (part 2) [7-31].srt
• 2 - 8 - Base Plotting Demonstration [16-56].mp4
• 2 - 8 - Base Plotting Demonstration [16-56].srt
• 2 - 9 - Graphics Devices in R (part 1) [5-34].mp4
• 2 - 9 - Graphics Devices in R (part 1) [5-34].srt
• 2-2-Principles.pdf
• 2-3-exploratoryGraphs.pdf
• 2-5-PlottingSystems.pdf
• 2-6-PlottingBase.pdf
• 2-9-GraphicsDevices.pdf

2014-6-4 22:08:16 上传

需要: 5 个论坛币  [购买]

thanks for sharing

支持分享。

山林隐逸 发表于 2014-6-4 21:54
视频来源 coursera
探索性数据分析

在mooc上注册，报名参加课程就能免费能看到，用不着收论坛币吧

邪马 发表于 2014-6-4 23:57
在mooc上注册，报名参加课程就能免费能看到，用不着收论坛币吧

我一个个下下来很辛苦的好吧。。5个论坛币也是小意思嘛。。照顾下新人~

这都卖钱。。。。。