课程信息
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中级

完成时间大约为14 小时

建议:4 weeks of study, 3-6 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Python ProgrammingStatistical AnalysisSentiment AnalysisR Programming

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为14 小时

建议:4 weeks of study, 3-6 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 3 小时

Introduction to Data Analytics

In this first unit of the course, several concepts related to social media data and data analytics are introduced. We start by first discussing two kinds of data - structured and unstructured. Then look at how structured data, the primary focus of this course, is analyzed and what one could gain by doing such analysis. Finally, we briefly cover some of the visualizations for exploring and presenting data.Make sure to go through the material for this unit in the sequence it's provided. First, watch the four short videos, then take the practice test, followed by the two quizzes. Finally, read the documents about installation and configuration of Python and R. This is very important - before proceeding to the next units, make sure you have installed necessary tools, and also learned how to install new packages/libraries for them. The course expects students to have programming experience in Python and R.

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4 个视频 (总计 33 分钟), 4 个阅读材料, 2 个测验
4 个视频
Video-4: Visualization of Data8分钟
4 个阅读材料
Anaconda Installation20分钟
Python installation, configuration, and usage30分钟
R installation30分钟
R/RStudio Setup Guide (on Windows)20分钟
2 个练习
Quiz-115分钟
Quiz-215分钟
2
完成时间为 4 小时

Collecting and Extracting Social Media Data

In this unit we will see how to collect data from Twitter and YouTube. The unit will start with an introduction to Python programming. Then we will use a Python script, with a little editing, to extract data from Twitter. A similar exercise will then be done with YouTube. In both the cases, we will also see how to create developer accounts and what information to obtain to use the data collection APIs. Once again, make sure to go item-by-item in the order provided. Before beginning this unit, ensure that you have all the right tools (Python, R, Anaconda) ready and configured. The lessons depend on them and also your ability to install required packages.

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4 个视频 (总计 47 分钟), 6 个阅读材料, 3 个测验
4 个视频
Video-4: Using Python to Extract Data from YouTube11分钟
6 个阅读材料
Errata: please read this first1分钟
Python Packages Installation5分钟
(Optional) Introduction to Python for Econometrics, Statistics and Data Analysis30分钟
Script: twitter_search.py
Twitter libraries10分钟
Script: youtube_search.py
2 个练习
Python Programming Exercise2分钟
YouTube data download using Python6分钟
3
完成时间为 4 小时

Data Analysis, Visualization, and Exploration

In this unit, we will focus on analyzing and visualizing the data from various social media services. We will first use the data collected before from YouTube to do various statistics analyses such as correlation and regression. We will then introduce R - a platform for doing statistical analysis. Using R, then we will analyze a much larger dataset obtained from Yelp. Make sure you have covered the material in the previous units before proceeding with this. That means, having all the tools (Anaconda, Python, and R) as well as various packages installed. We will also need new packages this time, so make sure you know how to install them to your Python or R. If needed, please review some basic concepts in statistics - specifically, correlation and regression - before or during working on this unit.

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4 个视频 (总计 87 分钟), 8 个阅读材料, 2 个测验
4 个视频
Video-4: Social Media Data Analysis with R32分钟
8 个阅读材料
Script: twitter_process.py
Data: iqsize.csv
R Installation Guide10分钟
Installing R Packages5分钟
Statistical Analysis with R10分钟
Read this first2分钟
Scripts for converting json to csv2分钟
Data Visualization with ggplot2 (R) - Cheat Sheet10分钟
1 个练习
Statistical Analysis with Twitter Data6分钟
4
完成时间为 3 小时

Case Studies

In the final unit of this course, we will work on two case studies - both using Twitter and focusing on unstructured data (in this case, text). The first case study will involve doing sentiment analysis with Python. The second case study will take us through basic text mining application using R. We wrap up the unit with a conclusion of what we did in this course and where to go next for further learning and exploration.

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4 个视频 (总计 47 分钟), 4 个阅读材料, 2 个测验
4 个阅读材料
Script: twitter_sentiments.py
NLTK10分钟
Script: text_mining_twitter.r
An Introduction to Network Analysis with R and statnet10分钟
1 个练习
Sentiment Analysis with Twitter6分钟
4.1
31 个审阅Chevron Right

25%

完成这些课程后已开始新的职业生涯

40%

通过此课程获得实实在在的工作福利

50%

加薪或升职

来自Social Media Data Analytics的热门评论

创建者 AMMay 10th 2018

Instructor was great, deliver lectures really nice. Looking for some more stuff from Dr. Shah

创建者 MIFeb 7th 2019

very nice couse but peer assignment is very difficult taks

讲师

Avatar

Chirag Shah

Associate Professor
Information and Computer Science

关于 新泽西州立罗格斯大学

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