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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom, Campus Based/Physical Classroom	Video and Text Based

Course Overview

This certification course is designed to help working professionals acquire the skills and knowledge to become SMI experts. The Post Graduate Certification program in Social Media Analytics and Intelligence by Talentsprint covers topics such as social network analysis, security and privacy on social media, ethics and more.

The programme also provides hands-on experience with real data, hackathons, capstone projects and industry mentorship. The programme is taught by top faculty from IIIT Hyderabad, who are renowned for their research and innovation in the field of social computing. The programme also gives the participants an opportunity to visit the prestigious IIIT Hyderabad campus and become alumni of the institute.

The Highlights

Certificate of completion IIIT - Hyderabad
Interactive Live Sessions
Expert Faculty
6 Months Course

Programme Offerings

video lecture
Certification
Get Alumni Status
Hands-On Lab
Capstone Project

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIIT Hyderabad

The Post Graduate Certification program in Social Media Analytics and Intelligence fees amount to Rs. 2,00,000 for Indian candidates. The application fee is Rs. 1,000. EMI payment option is also available.

Post Graduate Certification program in Social Media Analytics and Intelligence fee structure

Details	Amount
Application Fee	Rs. 1,000
Course Fee	Rs. 2,00,000

Eligibility Criteria

Academic Qualifications

Bachelor’s degree with a minimum of 50% marks.

Work Experience

A minimum of 1 year of professional experience is required for admission.

What you will learn

Upon completion of the Post Graduate Certification program in Social Media Analytics and Intelligence classes, participants will:

Learn how to collect, handle, and analyse social media data from platforms such as Twitter, Facebook, Instagram, Reddit, LinkedIn, YouTube, and Moj.
Derive actionable insights from social media data to use AI and cutting-edge tools to analyse conversations, respond to social signals, synthesise social data, and identify influencer
Understand the challenges related to trust, credibility, fake news, spam, phishing, fraud, hate crimes, and privacy issues on social media platforms.
Learn how to conduct social science research using social media data, and apply sociological and psychological theories.

Who it is for

Social Media ManagerJournalistMarket Research AnalystSocial Media Specialist

The Post Graduate Certification program in Social Media Analytics and Intelligence syllabus is designed for professionals who are interested in building expertise in Social Media Intelligence. It is particularly beneficial for individuals working in roles such as:

Admission Details

Carefully follow the instructions to get enrolled in the Post Graduate Certification program in Social Media Analytics and Intelligence online course. Browse the URL: https://iiit-h.talentsprint.com/social-media-analytics/

Step 1- Apply for the programme

Step 2- Submit Documents

Step 3- Selection by IIIT-H Committee

Step 4- Join the Programme

The programme selection process will be conducted by IIIT-H, focusing exclusively on the participants' education, work experience, and motivation.

Please submit scanned copies of the following documents within 7 days of application:

Education Certificate
Experience Letter/Latest Pay Slip

Application Details

The website asks for personal details and then begins the enrolment process by sending the participant an email.

The Syllabus

Course outcomes
Course logistics
Brief theory and examples about Social media analysis and CSS

Introduction to data collection from social media

APIs - Twitter, Reddit (Pushshift.io)
Web Crawling
- BeautifulSoup
- Selenium
- Legality and Ethics of crawling
Data Handling practices - DBs
Continuous, and Realtime collection
Twitter, Facebook, Instagram, Reddit, LinkedIn, YouTube, Moj

Data attributes (Twitter and Reddit)

Quantitative distributions

Finding influencers using follower/following counts
Time series distributions
Detecting anomalies (Virality detection)

Language Analysis

Pre-processing: Tokenization, Stop words (Custom stop words using tf-idf), Stemming and Lemmatization
Word Clouds and Chatter Plots
Topic modeling
Introduction to Code switch and Code mix data

Network Analysis

Building Network (Nodes, edges, edge properties)
Visualizing Networks
Network topology and what they can mean in social networks
Centrality metrics and inference with respect to social networks: Page Rank - Popularity, Betweenness - Community Gatekeepers, Degree - Reach
Community detection

Social Media Marketing 101

Tools for social media analysis: TweetDeck, Bufferly and other listening tools

Trust, credibility, & fake news on social media

Evolution of the term fake news (Eg. Credibility-Hoax-Rumor-Fake News-Misinformation-Disinformation)
Defining different terminology mentioned above
Types of fake news
Different ways by which problem is tacked
- Detection (Content and context based)
- Propagation
- Intervention

Spam, phishing, frauds, hate crime, abuse, extremism via online social media

Information privacy disclosure, revelation, and its effects in online social media
Privacy on social media: challenges, implication, opportunities
Collateral damage due to information leakage
Consumer behavior, analytics & applications
Effective and usable privacy setting and policies on online social media

Tracking social footprint/identities across different social network

Attribute based - Matching is done based on metadata like username, photo, DOB, check-ins, etc.
Language based - Language models are used to identify users based on writing styles
Network based - Network features of two networks are compared to identify node representing the same user.

Broader definition of Ethics & Bias in technology space
Ethics & Bias related to online social media
Studies (online social and otherwise) that had questionable ethical methodologies

Computer Science and Social media as a tool to conduct social science research

New data collection frontiers: Online user studies, historic social media data
Mass collaborations
Large scale (potentially global) experiments

Examples of using Sociology and Psychological theories to decide research directions

Multimodal Classification of social media data (taught via use cases of CSS)

NLP + large language models
Computer vision and CNNs
Graph Neural Network

Causal Experiment design

Causation vs Correlation
Basics of causal inference
- Treatment and control
- Effect
- Confounders and Covariates

Randomized control trials

Methods

Propensity score
Regression discontinuity
Difference in Difference
Survival analysis and CoX regression
Double ML

Challenges while using social media data

Text as a confounder
Platform dynamics as a confounder
Accounting of unavailable data

Hybrid methods - User studies + Computational analysis

Instructors

IIIT Hyderabad Frequently Asked Questions (FAQ's)

1: What is the duration of the online Post Graduate Certification program in Social Media Analytics and Intelligence?

The program is six months long.

2: Is there an age limit for enrollment in this programme?

There is no specific age limit for enrollment.

3: Will I receive a certificate upon completion of the Post Graduate Certification program in Social Media Analytics and Intelligence online course?

Yes, upon successful completion of the program, participants will receive a Post Graduate Certification in Social Media Analytics and Intelligence.

4: How will the programme enhance my career prospects?

The program equips participants with in-demand skills in social media analytics and intelligence, opening up opportunities in roles such as OSINT Analysts, Social Media Analysts, and more.

5: Can I pursue this programme while working full-time?

Yes, the program is designed to accommodate working professionals with flexible learning options.