OVERVIEW
The Data Analysis & Visualization with Microsoft Power BI program equips participants with in-demand skills in data pre-processing, analysis, and visualization using Microsoft Power BI as the primary analytics tool. This program is designed for professionals who want to transform raw data into meaningful insights that support informed, data-driven decision-making.
Participants will learn how to connect Power BI to multiple data sources, clean and transform datasets, and build interactive visualizations and dashboards that communicate clear and impactful business stories. The program also emphasizes best practices in data visualization design and analytical thinking, enabling participants to interpret trends, uncover insights, and present findings effectively to stakeholders.
By the end of this program, participants will be able to:
- Understand the fundamentals of data analytics and Microsoft Power BI
- Connect to, clean, and transform data from multiple data sources
- Create dynamic visualizations and interactive dashboards
- Analyze data to uncover trends, patterns, and business insights
- Share, publish, and collaborate on Power BI reports effectively
Program duration can be customized based on client requirements, such as:
- 1-day executive overview
- 2-day hands-on workshop
- Extended practical or project-based sessions
- Professionals involved in data analysis and reporting
- Business Analysts
- Executives and Managers who use data for decision-making
- Operations, Finance, HR, and Sales professionals
- Individuals interested in developing Power BI and data analytics skills
PROPOSED OUTLINE/ AGENDA
- Overview of Power BI architecture and key components
- Understanding data visualization concepts and business relevance
- Exploring Power BI Desktop, Power BI Service, and mobile applications
- Connecting to various data sources (Excel, CSV, databases, etc.)
- Managing data models and relationships
- Cleaning and preparing data using Power Query
- Using Power Query Editor for data transformation
- Performing data shaping tasks such as filtering, splitting, and grouping
- Creating calculated columns and custom measures
- Building bar charts, line charts, pie charts, and tables
- Customizing visuals (themes, colors, labels)
- Using slicers and filters for interactivity
- Creating advanced visuals such as maps, scatter plots, and KPI indicators
- Using hierarchies and drill-through features for deeper analysis
- Designing visuals for storytelling and executive presentations
- Combining multiple visuals into a single dashboard
- Using bookmarks, buttons, and tooltips
- Applying best practices for dashboard usability and layout design
- Introduction to DAX and its role in Power BI
- Writing basic DAX formulas for calculations and measures
- Using common functions such as SUM, AVERAGE, IF, and COUNT
PROGRAM METHODOLOGY
- Interactive Lectures – Clear explanation of Power BI concepts and analytics principles
- Hands-On Exercises – Practical data transformation and visualization activities
- Guided Demonstrations – Step-by-step walkthroughs in Power BI
- Case-Based Learning – Applying analytics to real business scenarios
- Practice Datasets – Working with realistic datasets
- Reflection & Q&A Sessions – Reinforcing understanding and resolving challenges
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