Data Analysis and Visualization Course | Power Bi Training

Unlock the power of data with the Data Analysis and Visualization with Microsoft Excel course offered by IIPD Global in Abu Dhabi. In today’s fast-paced, data-driven world, organizations rely on accurate insights to make informed decisions. Mastering Microsoft Excel for data analysis and visualization enables professionals to interpret complex datasets, create meaningful reports, and present actionable insights effectively. This intensive 3-day course is designed for beginners and professionals alike, equipping participants with practical skills to transform raw data into clear, compelling visual stories.

Who Should Attend

This course is ideal for:

• Data analysts and business analysts
• IT professionals and managers
• Finance and operations professionals
• Anyone looking to enhance data-driven decision-making skills

Course Objectives

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

• Perform fundamental and advanced data analysis in Excel
• Visualize data using dynamic charts and dashboards
• Analyze datasets with formulas, functions, and PivotTables
• Build interactive reports and dashboards
• Perform geospatial and statistical analysis
• Transform raw data into actionable insights using Power Query and Power Pivot

Course Outline

The course outline below is designed to guide participants through a practical, end-to-end data analysis workflow using Microsoft Excel. The modules progress logically from understanding analytical questions and preparing raw data to performing advanced analysis and presenting insights through effective visualizations. Each section emphasizes real-world business scenarios, ensuring learners develop the ability to transform data into meaningful insights that support decision-making, reporting, and performance analysis across different professional functions.

1. Introduction to Data Analysis

• Understanding the importance of data-driven decision-making
• Overview of tools: Microsoft Excel, Power BI, Tableau, Google Sheets
• The Data Analysis Process – Define, Collect, Clean, Analyze, Present

2. Define the Analytical Questions

• Identify key questions from one, two, or multiple columns
• Determine top/bottom performers and time-based insights
• Translate business problems into measurable metrics

3. Collect and Organize Data

• Best practices for data collection and validation
• Connect to external data sources (ERP, SQL, CSV) for live updates
• Structure data using Excel tables for easy analysis
• Apply proper formatting, naming conventions, and data validation

4. Clean the Data

• Detect and correct errors in raw datasets
• Use Power Query to remove duplicates, trim spaces, split names, and capitalize text
• Prepare clean datasets ready for analysis

5. Analyze the Data

• Create PivotTables from ranges and tables
• Apply SUMIFS, AVERAGEIFS, and COUNTIFS for multi-condition analysis
• Use VLOOKUP, HLOOKUP, MATCH, INDEX, and nested IF functions
• Connect multiple data sources using Power Pivot
• Filter data dynamically with slicers and timelines
• Automate data refresh and multi-PivotTable connections

6. Visualize Data

• Explore chart types: Column, Line, Pie, Histogram, and more
• Design interactive dashboards linked to PivotTables and filters
• Create report templates for consistent reporting
• Apply best practices for printing, scaling, and presenting dashboards 

7. Reporting and Insights

• Present clear, concise, and actionable insights
• Design geospatial visualizations in Excel
• Combine multiple data sources for advanced reporting

Training Methodology

• The course is led by a Microsoft Certified Trainer with official Microsoft practice files for hands-on exercises. The sessions are interactive, ensuring participants actively follow every step on their own Excel files.
• Pre-assessment: Evaluate participants’ skill levels to customize the training pace
• Hands-on exercises: Real datasets and business scenarios for practical learning
• Step-by-step guidance: Trainers share screens, explain actions, and ensure participant comprehension
• Continuous feedback: Questions, challenges, and live problem-solving enhance engagement