Session Overview

Participants begin with mastering Excel for statistical analysis and dashboards, then advance to building powerful visualizations using Power BI. Topics range from data cleaning and transformation to statistical modeling, regression, and dashboard interactivity. Real datasets and exercises ensure learning is immediately applicable.

Learning Objectives

By the end of the course, participants will be able to:

• Master core Excel functions for data analysis

• Create and format PivotTables, charts, and dashboards in Excel

• Apply statistical techniques like regression and descriptive analysis

• Normalize and model data for deeper insights

• Build dynamic dashboards using Power BI

• Use filters, slicers, and interactivity in reports

• Communicate insights effectively using visuals and analytics

• Support data-driven decision-making across business functions

Training Methodology

• Hands-On Learning: Real-world datasets and simulations

• Live Demonstrations: Step-by-step instructor walkthroughs

• Interactive Discussions: Q&A, feedback, and collaboration

• Mini Projects: Short exercises to reinforce each concept

• Templates Provided: Excel dashboards, DAX cheat sheets, Power BI examples

• Continuous Feedback: Trainer support throughout sessions

Importance of the Training Programme

• Bridges the Digital Skill Gap: Enables non-technical users to become data-capable

• Enhances Employability: Excel and Power BI are top tools in analytics roles

• Supports Business Transformation: Encourages data-driven culture

• Improves Cross-Functional Efficiency: Applicable across HR, finance, sales, operations

• Drives Better Decisions: Empowers teams to translate data into insight