Trainings

This course equips participants with practical approaches to collect, clean, analyze, and communicate data effectively.By focusing on real-world examples (e.g., Facebook Analytics, Excel-based datasets), participants will develop the skills to convert raw data into actionable insights, culminating in effective storytelling and reporting for data-driven decision-making within their organizations.

LEARNING OBJECTIVES:

Participants will learn to:

• Identify best practices in collecting and monitoring data.

• Apply efficient techniques for uncovering insights from descriptive, predictive, and prescriptive analytics.

• Communicate results persuasively through compelling visuals and data narratives.

Training and Workshop Outline

Module 1: The Data Analytics Value Chain

• Data in the Real World and Why Analytics Matters

• Overview of Descriptive, Predictive, and Prescriptive Analytics

• Information-Action Value Chain Framework

Module 2: Data Preprocessing and Cleanup

• Preparing and Importing Data (Facebook Insights, Excel)

• Data Cleaning and Transformation (Handling Missing Values, Outliers)

• Structuring Data for Analysis

Module 3: Common Graphs and Analytical Techniques

• Charting Categorical Data (Bar, Pie, Pareto)

• Charting Quantitative Data (Histograms, Boxplots, Time-Series/Line Charts)

• Examining Relationships (Scatter Plots, Correlation, Basic Regression)

Module 4: Designing Effective Data Visualizations

• Principles of Graphical Design (Lessons from Edward Tufte and Stephen Few)

• Choosing the Right Medium (Tables vs. Charts vs. Dashboards)

• Techniques for Displaying Multiple Variables

• Examples of Graphical Excellence

Module 5: Case Study — Descriptive Data Analytics

• Setting Objectives and Identifying Key Metrics

• Hands-On Simulation: Analyzing Facebook and Excel Data

• Generating Insights on Trends and Top Performers

Module 6: Case Study — Descriptive & Predictive Data Analytics

• Introducing Simple Forecasting Tools (Excel Forecasts, Basic Regression)

• Hands-On Simulation: Predicting Future Engagement or Performance

• Applying Forecast Results to Real-World Decisions

Module 7: Case Study — Descriptive, Predictive & Prescriptive Data Analytics

• Basics of Prescriptive Analytics (Optimal Schedules, Budget Allocations)

• Integrating All Three Analytics Approaches in a Scenario

• Formulating Actionable Recommendations

Module 8: Communicating Data Analytics Results

• Knowing Your Audience and Tailoring Your Message

• Principles of Effective Data Storytelling (Interpreting, Telling, Selling)

• Presentation and Reporting Formats (PowerPoint, Written Reports)

Additional Resources: To complement the training program, participants will also receive references and supplementary resources

to reinforce post-training application.

Certification: Participants who successfully complete the training will be awarded a certificate of completion.