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In person sessions on tuesdays and online synchronous on thursdays

Students will learn to access and gather information from social media using application programming interfaces (API), and to use tools and techniques to analyze large amount of text extracted from social media, internet, etc. Text analytics are performed using Python, R and other text analytics tools.

Upon completing the course, students will: 1. Summarize the current social media landscape and explain its importance to business and other organizations2. Contrast the role of different social media apps for business organizations3. Explain the concept of sentimental analysis and its importance is text analytics4. Construct an API that allow the user to acquire information from social media5. Prepare data obtained from social media for future analysis6. Compare different software applications used to analyze social media data7. Interpret results obtained from text analysis and other social media data

*The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

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