📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI in Social Media Analysis Course, from foundations to a certified capstone project.
Outline
Social media ecosystems and platform dynamics • Key performance indicators and engagement metrics • Audience behavior and content interaction basics • Introduction to data-driven social media strategy
Outline
Customer behavior analysis through AI • Segmentation and audience profiling • Sentiment and response interpretation • Identifying user needs and preferences from social data
Outline
AI in campaign performance evaluation • Predicting engagement and reach patterns • Content recommendation and targeting strategies • Measuring effectiveness across marketing objectives
Outline
Supervised and unsupervised learning concepts • Classification and clustering for audience analysis • Trend detection and anomaly recognition • Forecasting engagement and campaign outcomes
Outline
Personalization and automated marketing intelligence • Social listening and competitive monitoring • Brand perception and market response analysis • AI-assisted decision-making for digital campaigns
Outline
Tools for scheduling, monitoring, and analytics • Dashboards and reporting platforms • AI-assisted content analysis workflows • Automation for performance tracking and insights
Outline
Responsible use of AI in social media • Bias, privacy, and platform-related concerns • Interpreting data in context • Turning analytics into strategy and action
Outline
Social media campaign analysis projects • Customer insight and segmentation exercises • Sentiment and trend detection case studies • Final project on AI-driven social media strategy
Earn government-registered certification in AI in Social Media Analysis Course
e-Certificate and e-Marksheet issued on successful completion.
