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中級レベル

約14時間で修了

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

英語

字幕:英語

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Python ProgrammingStatistical AnalysisSentiment AnalysisR Programming

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約14時間で修了

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

英語

字幕:英語

シラバス - 本コースの学習内容

1
3時間で修了

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件のビデオ (合計33分), 4 readings, 2 quizzes
4件のビデオ
Video-4: Visualization of Data8 分
4件の学習用教材
Anaconda Installation20 分
Python installation, configuration, and usage30 分
R installation30 分
R/RStudio Setup Guide (on Windows)20 分
2の練習問題
Quiz-115 分
Quiz-215 分
2
4時間で修了

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件のビデオ (合計47分), 6 readings, 3 quizzes
4件のビデオ
Video-4: Using Python to Extract Data from YouTube11 分
6件の学習用教材
Errata: please read this first1 分
Python Packages Installation5 分
(Optional) Introduction to Python for Econometrics, Statistics and Data Analysis30 分
Script: twitter_search.py
Twitter libraries10 分
Script: youtube_search.py
2の練習問題
Python Programming Exercise2 分
YouTube data download using Python6 分
3
4時間で修了

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件のビデオ (合計87分), 8 readings, 2 quizzes
4件のビデオ
Video-4: Social Media Data Analysis with R32 分
8件の学習用教材
Script: twitter_process.py
Data: iqsize.csv
R Installation Guide10 分
Installing R Packages5 分
Statistical Analysis with R10 分
Read this first2 分
Scripts for converting json to csv2 分
Data Visualization with ggplot2 (R) - Cheat Sheet10 分
1の練習問題
Statistical Analysis with Twitter Data6 分
4
3時間で修了

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件のビデオ (合計47分), 4 readings, 2 quizzes
4件の学習用教材
Script: twitter_sentiments.py
NLTK10 分
Script: text_mining_twitter.r
An Introduction to Network Analysis with R and statnet10 分
1の練習問題
Sentiment Analysis with Twitter6 分
4.1
31件のレビューChevron Right

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Social Media Data Analytics からの人気レビュー

by AMMay 10th 2018

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

by MIFeb 7th 2019

very nice couse but peer assignment is very difficult taks

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Chirag Shah

Associate Professor
Information and Computer Science

ラトガース大学(Rutgers the State University of New Jersey)について

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