- From www.coursera.org
Social Media Data Analytics
- Self-paced
- Free Access
- Fee-based Certificate
- 4 Sequences
- Intermediate Level
Course details
Syllabus
- Week 1 - 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,... - Week 2 - 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 w... - Week 3 - 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 pl... - Week 4 - 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 b...
Prerequisite
None.
Instructors
Chirag Shah
Associate Professor
Information and Computer Science
Editor
Rutgers, The State University of New Jersey (/ˈrʌtɡərz/), commonly referred to as Rutgers University, or RU, is an American public research university in New Jersey. It is the largest institution of higher education in New Jersey.
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
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