About this Course
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Flexible deadlines

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Intermediate Level

Approx. 14 hours to complete

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

English

Subtitles: English

Skills you will gain

Python ProgrammingStatistical AnalysisSentiment AnalysisR Programming

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 14 hours to complete

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

English

Subtitles: English

Learners taking this Course are

  • Community Managers
  • Marketing Specialists
  • Risk Managers
  • Data Analysts
  • Public Relations Specialists

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Introduction to Data Analytics

4 videos (Total 33 min), 4 readings, 2 quizzes
4 videos
Video-2: Structured vs. Unstructured Data10m
Video-3: Analyzing Structured Data10m
Video-4: Visualization of Data8m
4 readings
Anaconda Installation20m
Python installation, configuration, and usage30m
R installation30m
R/RStudio Setup Guide (on Windows)20m
2 practice exercises
Quiz-115m
Quiz-215m
Week
2
4 hours to complete

Collecting and Extracting Social Media Data

4 videos (Total 47 min), 6 readings, 3 quizzes
4 videos
Video-2: Introduction to Python Programming16m
Video-3: Using Python to Extract Data from Twitter15m
Video-4: Using Python to Extract Data from YouTube11m
6 readings
Errata: please read this first1m
Python Packages Installation5m
(Optional) Introduction to Python for Econometrics, Statistics and Data Analysis30m
Script: twitter_search.py
Twitter libraries10m
Script: youtube_search.py
2 practice exercises
Python Programming Exercise2m
YouTube data download using Python6m
Week
3
4 hours to complete

Data Analysis, Visualization, and Exploration

4 videos (Total 87 min), 8 readings, 2 quizzes
4 videos
Video-2: Analyzing Social Media Data Using Python26m
Video-3: Introduction to R26m
Video-4: Social Media Data Analysis with R32m
8 readings
Script: twitter_process.py
Data: iqsize.csv
R Installation Guide10m
Installing R Packages5m
Statistical Analysis with R10m
Read this first2m
Scripts for converting json to csv2m
Data Visualization with ggplot2 (R) - Cheat Sheet10m
1 practice exercise
Statistical Analysis with Twitter Data6m
Week
4
3 hours to complete

Case Studies

4 videos (Total 47 min), 4 readings, 2 quizzes
4 videos
Video-2: Sentiment Analysis with Twitter Data21m
Video-3: Text Mining of Twitter Data15m
Video-4: Conclusion6m
4 readings
Script: twitter_sentiments.py
NLTK10m
Script: text_mining_twitter.r
An Introduction to Network Analysis with R and statnet10m
1 practice exercise
Sentiment Analysis with Twitter6m
4.1
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Top reviews from Social Media Data Analytics

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

Instructor

Avatar

Chirag Shah

Associate Professor
Information and Computer Science

About Rutgers the State University of New Jersey

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.