Full-Day Classroom Seminar
Power BI & AI: Advanced Data Visualization and Storytelling
Master Power Query, Data Modeling, DAX, and AI-Driven Analytics to Transform Raw Data into Powerful Business Insights
The Programme
Programme Overview
Introduction
Course Overview
In today’s data-driven business landscape, organizations generate massive amounts of raw information. However, without the right tools to clean, model, and visualize this data, critical business insights remain buried.
This intensive classroom workshop empowers professionals to master Dashboard, MIS, Storytelling & Report Building in PowerBI. Participants will dive deep into Data Extraction & Transformation (Power Query) to pull from diverse sources, including Connecting to Data Sources (Excel, SQL, Web, etc.). By the end of the program, you will confidently utilize AI Features in Power BI, enabling you to predict trends, generate automated narratives, and drive highly strategic decision-making.
Outcomes
What You Will Learn
- Extract and prepare datasets flawlessly using Data Cleaning & Shaping using Power Query and Handling Missing Data & Duplicates.
- Shape your information architecture by Merging & Appending Queries and Creating Custom Columns.
- Build robust frameworks by Creating Relationships Between Tables and understanding Star Schema vs. Snowflake Schema.
- Choose the Right Chart for Data Representation , distinguishing between the Types of Visuals in Power BI, including Built-in vs. Custom visuals.
- Design high-impact dashboards using a variety of charts, such as the Combo Chart (Line + Column) for Showing two different metrics on the same axis , or the Waterfall Chart for Showing cumulative impact of positive/negative values.
- Enhance interactivity by Customizing Labels & Titles , applying Conditional Formatting for Colour-coding based on values , and Using Filters, Slicers & Drill-Through.
- Leverage advanced tools like Power BI Q&A to Ask questions in natural language and Smart Narrative to Auto-generate commentary on visuals.
- Predict future business outcomes using Forecasting to Predict trends using AI-based visuals and the Key Influencers Visual to Identify drivers behind outcomes.
Methodology
How We Teach
This highly interactive workshop focuses on practical, hands-on learning. We guide participants through the entire data lifecycle, from initial Data Extraction & Transformation (Power Query) to advanced Data Modeling & Relationships. Through live exercises, you will practice Adjusting Colours & Themes using built-in themes and custom palettes and explore an Introduction to DAX (Data Analysis Expressions). We ensure you leave with the ability to confidently apply the Decomposition Tree to Drill down into root causes and use Anomaly Detection to Spot outliers in time series.
The Outcome
Impact & Audience
For the Organization
Organizational Impact
- Accelerate Decision Making: Empower leadership with real-time insights by utilizing the KPI Indicator for Tracking performance against targets and the Gauge Chart for Displaying progress towards a goal.
- Optimize Data Workflows: Reduce manual reporting hours by training your team in Merging & Appending Queries and Creating Custom Columns efficiently.
- Identify Business Risks: Use advanced tools like the Key Influencers Visual to Identify drivers behind outcomes and Anomaly Detection to Spot outliers in time series, protecting the organization from unforeseen market shifts.
- Standardize Reporting: Ensure consistent, professional reporting across departments by standardizing how teams approach Choosing the Right Chart for Data Representation.
For the Individual
Personal Impact
- Master Advanced Analytics: Move beyond basic Excel by learning Data Extraction & Transformation (Power Query) and gaining an Introduction to DAX (Data Analysis Expressions).
- Enhance Visual Storytelling: Elevate your presentations by mastering Dashboard, MIS, Storytelling & Report Building in PowerBI.
- Become an AI Data Expert: Future-proof your career by utilizing AI Features in Power BI , such as using Smart Narrative to Auto-generate commentary on visuals.
- Improve Problem Solving: Develop analytical sharpness by applying the Decomposition Tree to Drill down into root causes of complex business challenges.
Audience
Who Should Attend
- Data Analysts & MIS Executives: To master Data Modeling & Relationships and effectively navigate Star Schema vs. Snowflake Schema.
- Finance & Sales Professionals: To visualize sales pipelines and process stages using the Funnel Chart and show monthly revenue trends with the Column Chart.
- Marketing & Operations Managers: To track campaign performance using Card Visualization for Highlighting single key metrics (KPIs) and the Scatter Plot for Identifying correlations between two variables.
- Business Leaders & Strategists: To leverage Forecasting to Predict trends using AI-based visuals for long-term strategic planning.
Curriculum
Course Outline
Faculty & Inclusions
Your Trainer
Faculty
Instructor Details
This intensive program is facilitated by seasoned data architects and business intelligence consultants. With years of corporate experience in building enterprise-level data models, our trainers specialize in moving professionals beyond basic reporting. They provide practical, hands-on guidance in navigating complex DAX formulas, advanced Power Query transformations, and implementing cutting-edge AI features, ensuring you leave with highly actionable analytics skills.
What's Included
Certificates & Inclusions
- Lunch
- Tea/Coffee
- Course Material
- Certificate of Completion
Registration
Reserve Your Seat
Need Assistance?
Talk to a Programme Advisor
Have questions about your specific industry, or want to enquire about group discounts? Reach out to our programme coordinators directly.
Or register by e-mail
register@princetonacademy.co.inFor Teams
Corporate In-House Training
Have a large HR and Finance team? Standardize your compliance across all locations by training your entire team at once.
Request a Custom In-House ProposalSchedule
Upcoming Power BI & AI: Advanced Data Visualization and Storytelling Sessions
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Questions
Frequently Asked Questions
Power Query is used for Data Extraction & Transformation (Power Query) , such as Data Cleaning & Shaping. In contrast, DAX (Data Analysis Expressions) is used for advanced calculations and creating complex measures during the Data Modeling phase.
Choosing the Right Chart for Data Representation depends on your objective. For example, use a Bar Chart for Comparing categorical data, a Line Chart for Displaying trends, growth, and patterns, or Pie & Donut Charts for Showing proportions.
Yes, you can easily handle Connecting to Data Sources (Excel, SQL, Web, etc.) and use Power Query for Data Cleaning & Shaping using Power Query, which includes Handling Missing Data & Duplicates.
The platform offers robust AI Features in Power BI, including Power BI Q&A to Ask questions in natural language, Anomaly Detection to Spot outliers in time series, and Forecasting to Predict trends using AI-based visuals.
You can effectively use Maps (Filled, Bubble, Shape) for Geographic data visualization to highlight regional performance and market penetration.
