TCS iON Industry Honour Course - Social Media and Text Analytics

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Course Details

Course Commencement
August 2023 (Tentative)
Course Completion
January 2024 (Tentative)
Language
English
Exam Dates
Multiple slots in January 2024 (Tentative)
Credits & LTP
Each course offers 5 credit points.
Lecture
3
Tutorial
1
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - B.E./B.Tech
Branch - Computer Science Engineering and Information Technology
Semester -
5 th,   6 th,   7 th and   8 th

Course Summary

Social Media and Text Analytics is a course that aims to provide a fundamental training on modern text processing technologies such as topic modeling and clustering and its real-world application. The course maintains a perfect balance of theory and practical examples with real-life problems and data. The global text analytics market was valued at US$4.65 billion in 2018 and is expected to reach a value of US$12.65 billion by 2024 at a Compound Annual Growth rate (CAGR) of 17.35% over the forecast period (2019-2024). North America is the largest market for social media and text analytics, while Asia Pacific is the fastest growing market in this field.

This course is carefully crafted to meet contemporary industry and research needs. This course demonstrates how to use text and analytics on social media data, where text analytics will be applied on social data from different sources to get interesting results.

Hands-On

A virtual hands-on environment is integrated within the course.

Students will have to leverage this environment to complete the industry assignment as well as to complete the Part B section of the summative assessment.

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RECOMMENDED PRIOR KNOWLEDGE
1. Basic knowledge of Programming, Python, Artificial Intelligence (AI), basic Machine Learning, Database, Linear Algebra, SQL and basic Statistics


2. The following Industry Honour Course (IHC) courses are recommended for taking up this course:

  1. TCS iON Industry Honour Course - Practical Approach to Data Mining and Analytics
  2. TCS iON Industry Honour Course - Machine Learning for Real-World Application

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
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RELATED COURSES
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Course Components

Digital Learning
Resources
Courses to consist of enriching eLearning resources View Sample
Digital
Lectures
Multiple digital lectures delivered by a renowned academician and an industry expert, through the entire duration of a course View Sample
Academic Connect
Community
Moderated by an academic expert with a focus on building conceptual clarity View Sample
Industry Connect
Community
Moderated by an industry expert with a focus on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to industry related mini projects to enable practical exposure for candidates View Sample
Periodic Formative
Assessment
Access to three periodic formative assessments during the course View Sample
Summative Assessment
/TCS NQT
Candidates to appear for either summative assessments consisting of two parts - Test of Knowledge and Test of Application or TCS NQT View Sample
Verifiable Digital
Certificate
Successful candidates to receive a digital certificate, verifiable through online platforms View Sample
Internship
Opportunity
Internship opportunity for toppers in the respective courses, subject to vacancies in corporates and their hiring policies View Sample
Job
Visibility
Get visibility to job vacancies with leading corporate recruiters that recognise the TCS NQT certification, subject to vacancies in corporates and their hiring policies View Sample

Testimonials

!~Testimonials~!