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DSTC-A45 Online (e-LMS) Advanced Postgrad

Social Media Analytics: Introduction

by - DSTC

Master Social Media Analytics: Introduction in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
β€’ Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
β€’ A laptop or desktop with a stable internet connection.
β€’ Willingness to complete assignments and the capstone project.

About This Course

The Social Media Analytics: Introduction course is a free, beginner-friendly self-paced program designed to help learners understand how data from social media platforms is analyzed to generate insights. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Social Media Analytics: Introduction course is a free, beginner-friendly self-paced program designed to help learners understand how data from social media platforms is analyzed to generate insights.

πŸ“‹ Course Objectives

1. Apply Artificial Intelligence methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.

πŸ‘₯ Who Should Enroll?

β€’ Master's and senior undergraduate students specializing in Artificial Intelligence
β€’ R&D engineers and working professionals applying Artificial Intelligence in industry
β€’ Academics and educators building research or teaching capacity in Artificial Intelligence

πŸš€ Key Learning Outcomes

β€’ A demonstrable Artificial Intelligence project for your research or industry portfolio.
β€’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

πŸ’Ž What You'll Gain

πŸŽ₯

Live & Recorded Sessions

Lifetime access to class recordings
πŸŽ“

e-Certificate on Completion

Cryptographically verified credential
πŸ’¬

Post-Programme Support

Direct access to mentors & council
πŸ’»

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to Social Media Analytics

What is Social Media Analytics? β€’ Importance of Data in Social Platforms β€’ Types of Social Media Data β€’ Applications in Marketing and Research

Module 2 Outline

Understanding Social Media Metrics

Likes, Shares, Comments, and Reach β€’ Engagement and Performance Metrics β€’ Audience Insights and Behavior β€’ Tracking Trends and Growth

Module 3 Outline

Basic Analytics Techniques

Introduction to Sentiment Analysis β€’ Trend Analysis Concepts β€’ Content Performance Evaluation β€’ Simple Data Interpretation

Module 4 Outline

Applications of Social Media Analytics

Marketing and Brand Analysis β€’ Customer Feedback and Opinion Mining β€’ Campaign Performance Tracking β€’ Social Media Strategy Basics

Module 5 Outline

Future Scope and Next Steps

Role of AI in Social Media Analytics β€’ Career Opportunities in Digital Analytics β€’ Learning Path for Marketing and Data Analytics β€’ Mini Learning Activity / Concept-Based Practice

Technical Specifications

ParameterRequirement
Covered Tool / PlatformSocial Media Analytics
Covered Tool / PlatformEngagement Metrics
Covered Tool / PlatformSentiment Analysis
Covered Tool / PlatformTrend Analysis
Covered Tool / PlatformData Insights

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

No. The course is beginner-friendly and suitable for learners from any background.

You will learn how social media data is analyzed, including engagement metrics, trends, sentiment, and performance tracking.

Students, beginners, marketers, entrepreneurs, and professionals can join.

Yes. Learners receive an e-Certification after completing the course.

Social media analytics is the process of collecting and interpreting social media data to understand audience behavior, engagement, trends, and content performance.

Yes. This course is useful for learners interested in digital marketing because it explains engagement metrics, campaign tracking, audience insights, and brand performance analysis.

The Social Media Analytics: Introduction course is designed as a 2–3 week online self-paced course.

Yes. The course introduces sentiment analysis as a basic technique for understanding customer opinions, feedback, and social media comments.

The course explains social media data, engagement metrics, trends, sentiment analysis, campaign tracking, and audience behavior in simple language without requiring prior analytics or technical knowledge. The Social Media Analytics: Introduction course provides a simple and structured foundation in analyzing social media data, understanding audience behavior, and generating insights. It is an ideal starting point for learners interested in digital marketing, analytics, and data-driven communication strategies.

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