Course Content
Pre requisite: Basic knowledge of Excel; No License required
Power BI Desktop Interface
- Basic navigation: understanding where things are, like ribbons, fields, and panels—the tools to build a fully interactive report that updates itself.
Importing Data from Various Sources
- Learn how to bring in data from different places, such as SQL databases, cloud services, and online sources.
Data Transformation Using Power Query
- Cleaning and preparing data to make it usable.
- Using Power Query to automate data preparation steps.
Data Modeling Fundamentals
Understanding Relationships
- Linking different tables together to form a cohesive model.
Creating Calculated Columns and Measures
- Using calculations to create deeper insights.
- For example, calculating financial metrics like ‘Net Present Value’ (NPV) using multiple datasets (such as revenue streams and co-st data) and advanced DAX formulas, providing insights
- Introduction to DAX (Data Analysis Expressions) to build measures that allow you to calculate metrics like total prof it margin or year-over-year growth.
Visualizing Data Effectively
- Creating powerful visuals like clustered bar charts, line graphs, and interactive maps.
- Creating an interactive map to visualize financial data by region, such as income, expenses, or tax liabilities, helps to identify geographic areas with the highest profitability or cost challenges.
Advanced Visuals:
- Creating visuals like waterfall charts to analyze the impact of different factors on profit, decomposition trees to break down complex metrics like revenue by different dimensions, and gauge charts to display key performance indicators (KPIs) at a glance.
- Create a waterfall chart to understand the breakdown of annual profit, including revenue, expenses, and taxes.
Storyboards
- Develop storyboards to narrate a compelling story using multiple report pages.
- Exercise : Creating a storyboard that shows the monthly financial performance, highlighting revenue trends, expense breakdowns, and profi t margins, to help stakeholders understand the financial health of the company and areas that need cos t optimization.
Best Practices for Data Visualization
- Choosing the right visual to tell your story clearly.
- Creating heat maps to highlight areas with the highest expenses or using funnel charts to analyze the cash flow process, to help quickly identify financial bottlenecks or inefficiencies.
- Ensuring that visuals are easily understandable by stakeholders through smart use of colours, labels, and tooltips.
Interactive Visuals
- Adding filters, slicers, and drill-through options to explore the data.
- Creating slicers to filter financial data by different time periods, centres, or departments, providing instant insights on expenditure patterns, profitability, and budget utilization without modifying the entire report.
- exercise: Drill-down features to analyze data at multiple levels, such as viewing overall financial performance and then drilling down to department-level expenses or individual cost centres, to help the finance team identify areas where spending can be optimized.
Building Dynamic and Real-time Dashboards
- Setting up dashboards that update automatically when new data is added.
- Creating a real-time finance dashboard that tracks key metrics like cash flow, budget utilization, and expense tracking from various financial systems, providing instant visibility into financial health without the need for manual updates.
- Using streaming data to create dashboards that update in real-time, such as monitoring website traffic or live sales data.
Advanced Features
- Utilizing Power BI Service
- Advanced DAX for Complex Calculations
AI Integration with Power BI
- Using AI to Enhance Insights
- Automating Data Analysis with AI