Analytics & Optimization Workshop (LinkedIn Focus)

Overview

In this workshop-style course, you’ll learn how to use AI tools to analyze social media performance and turn raw metrics into clear optimization actions, with LinkedIn as your primary platform. You’ll start by collecting clean data, including exported LinkedIn Analytics (impressions, likes, comments, shares) and recent comments, then organizing it into a simple spreadsheet workflow so your analysis is consistent and reusable.

Next, you’ll run sentiment analysis on real audience comments to understand how people are reacting to your content. You’ll use the sentiment breakdown (positive, neutral, negative) to adjust tone, messaging, and calls to action, so you can improve trust and engagement without guessing.

You’ll then forecast performance for the next 30 days by prompting an LLM to estimate impressions, engagements, and engagement rate, and you’ll test “what-if” scenarios like posting more often or shifting content types. You’ll also explore cross-platform reporting by comparing at least two channels (such as LinkedIn and Instagram) to identify strengths, weaknesses, and where your audience responds best.

Finally, you’ll create an optimization plan grounded in your own data, recommendations to improve engagement rate, boost impressions, and increase positive sentiment, while balancing AI suggestions with an authentic brand voice.

Syllabus

• Getting Started
In this module, you’ll get an introduction to using AI to analyze social media performance and improve future content decisions. You’ll preview how AI can support sentiment analysis, performance forecasting, cross-platform reporting, and data-driven optimization, with a primary focus on LinkedIn analytics.
• Analytics & Optimization Workshop (LinkedIn Focus)
In this module, you’ll use AI to analyze social media performance data and turn insights into action. You’ll work with LinkedIn analytics and audience comments to assess sentiment, forecast future performance, and explore how reporting can extend across multiple platforms. You’ll also use AI-generated recommendations to identify data-driven strategies for improving engagement, reach, and audience response.
• Apply What You've Learned
In this module, you’ll reflect on how AI can support social media analysis, forecasting, and optimization through a guided dialogue and graded assignment. You’ll apply course concepts to interpret campaign data and develop a data-driven approach to improving future performance.

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Taught by

Andrew Brooks

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Subjects

Artificial Intelligence