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Power BI for Financial Analytics

Power BI for Financial Analytics is a practical, finance-focused training course designed to help finance professionals transform financial data into interactive reports, dashboards, financial statements, and analytical insights using Microsoft Power BI. The course covers Power BI fundamentals, data import and transformation, financial data modeling, DAX calculations, financial statement preparation, financial ratios, time-based analysis, variance analysis, and interactive financial dashboards. Learners work with financial data to analyze profitability, liquidity, risk, operational efficiency, and business performance. These topics are reflected across the supplied finance-focused Power BI training references.
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Course Description

Key Takeaways
  • Import and transform financial data in Power BI.
  • Build data models for financial analysis.
  • Create DAX measures for financial calculations.
  • Prepare Profit & Loss statements.
  • Prepare Balance Sheet reports.
  • Prepare Cash Flow reports.
  • Analyze financial performance using KPIs and ratios.
  • Perform profitability and liquidity analysis.
  • Perform Actual vs Budget and variance analysis.
  • Analyze financial data over time.
  • Create interactive financial dashboards.
  • Use filters, slicers, drill-downs, and interactive visuals.
  • Present financial information through Power BI reports.
  • Apply Power BI and DAX to practical financial reporting scenarios.
Course Outline

Module 1: Introduction to Power BI for Financial Analytics

  • Introduction to Power BI
  • Power BI Desktop and Power BI Service
  • Power BI interface and navigation
  • Importing financial data
  • Understanding financial datasets
  • Working with Excel financial data
  • Connecting multiple data sources
  • Overview of financial reporting with Power BI

Module 2: Financial Data Preparation and Transformation

  • Import financial data into Power BI
  • Power Query fundamentals
  • Cleaning financial data
  • Transforming financial datasets
  • Changing data types
  • Removing errors and unwanted data
  • Combining multiple financial tables
  • Preparing General Ledger data
  • Preparing Chart of Accounts data
  • Preparing Calendar and financial dimension tables

Module 3: Financial Data Modeling

  • Financial data-modeling concepts
  • Fact and dimension tables
  • Creating relationships
  • Building a financial data model
  • Chart of Accounts structure
  • Calendar tables
  • Snowflake schema
  • Financial hierarchies
  • Account and category dimensions
  • Data-model best practices

Module 4: DAX for Financial Analysis

  • Introduction to DAX
  • Measures and calculated columns
  • Basic DAX calculations
  • Aggregation functions
  • CALCULATE
  • Filter context
  • Row context
  • Variables
  • Table functions
  • Financial calculations using DAX
  • Staging DAX measures
  • Creating dynamic financial measures

Module 5: Profit & Loss Statement Analysis

  • Understanding the Profit & Loss Statement
  • Importing P&L data
  • Creating P&L data models
  • Sales Revenue
  • Cost of Sales
  • Gross Profit
  • Operating Expenses
  • EBITDA
  • Operating Profit
  • PBIT
  • Net Profit
  • P&L subtotals
  • P&L hierarchy
  • P&L visualization
  • Drill-down analysis

Module 6: Balance Sheet Analysis

  • Understanding Balance Sheet structure
  • Assets
  • Liabilities
  • Equity
  • Current assets
  • Non-current assets
  • Current liabilities
  • Long-term liabilities
  • Equity analysis
  • Balance Sheet visualization
  • Financial position analysis

Module 7: Cash Flow Analysis

  • Understanding Cash Flow Statements
  • Operating activities
  • Investing activities
  • Financing activities
  • Cash flow analysis
  • Free Cash Flow
  • Cash flow trends
  • Cash flow dashboards
  • DAX calculations for cash flow reporting

Module 8: Financial Ratios and Performance Analysis

  • Financial ratio analysis
  • Profitability ratios
  • Gross Profit Margin
  • Net Profit Margin
  • Liquidity ratios
  • Current Ratio
  • Quick Ratio
  • Financial risk analysis
  • Debt-related metrics
  • Operational efficiency
  • Return on Investment
  • Return on Capital Employed
  • Ratio visualization

Module 9: Time Intelligence for Financial Analytics

  • Date and time intelligence
  • Financial year analysis
  • Month and quarter analysis
  • Year-to-date calculations
  • Month-to-date calculations
  • Previous-period analysis
  • Year-over-year analysis
  • Period comparisons
  • Financial trends
  • Growth analysis

Module 10: Budget, Forecast and Variance Analysis

  • Actual vs Budget
  • Actual vs Forecast
  • Actual vs Previous Year
  • Variance calculations
  • Percentage variance
  • Favorable and unfavorable variance
  • Financial performance comparison
  • Budget monitoring
  • Forecast analysis
  • Management reporting

Module 11: Financial Dashboards and Visualization

  • Financial KPI cards
  • Financial charts
  • Matrix visuals
  • Tables
  • Line charts
  • Bar and column charts
  • KPI visuals
  • Slicers
  • Filters
  • Drill-down
  • Drill-through
  • Cross-filtering
  • Interactive financial dashboards
  • Executive financial reporting

Module 12: Financial Reporting and Management Dashboards

  • Designing management reports
  • Executive financial dashboards
  • Financial KPI reporting
  • P&L dashboard
  • Balance Sheet dashboard
  • Cash Flow dashboard
  • Financial performance dashboard
  • Country and business-unit comparison
  • Interactive reporting
  • Financial insights and storytelling
  • Publishing and sharing Power BI reports
Duration

5 Days

Exam Details

Course Completion Certificate by Network Binary

Lab Outline
  • Import financial data from Excel into Power BI.
  • Transform General Ledger and Chart of Accounts data using Power Query.
  • Build a financial data model.
  • Create relationships between financial tables.
  • Create a financial Calendar table.
  • Build a Chart of Accounts hierarchy.
  • Create DAX measures for financial reporting.
  • Build a Profit & Loss statement.
  • Calculate Gross Profit, EBITDA, Operating Profit, PBIT, and Net Profit.
  • Build a Balance Sheet report.
  • Build a Cash Flow Statement.
  • Create financial KPI cards.
  • Calculate profitability ratios.
  • Calculate liquidity ratios.
  • Analyze financial risk and operational efficiency.
  • Create Year-to-Date and prior-period calculations.
  • Build Actual vs Budget analysis.
  • Build Actual vs Forecast analysis.
  • Create variance reports.
  • Create financial trend dashboards.
  • Build an executive financial dashboard.
  • Apply slicers, filters, drill-down, and cross-filtering.
  • Complete a financial statement reporting case study.
Who should attend
  • Finance Managers
  • Financial Controllers
  • Finance Directors
  • Accountants
  • Bookkeepers
  • Financial Analysts
  • FP&A professionals
  • Business intelligence professionals working with finance teams
  • Finance and accounting students
  • Professionals involved in financial reporting and analysis
Prerequisites

No prerequisites

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Mohammad Gufran Network Binary

MOHAMMED GUFRAN

17 years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation

AKMAL YAZDANI

18+ years of Experience
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MUHAMMAD MUSAB

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RANIA GABRIEL GEORGE HAKIM

25+ years of Experience
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MOHD FARAZ HARMIS

25+ years of Experience
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SHAHEEN AKHTAR

17 years of Experience
TCP | and UDP protocols, along | with expertise in firewalls such as Palo Alto

KUDDOOS ALI

14+ years of Experience
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AAMIR MASOOD

6 years of Experience
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FAIZAN AHMAD

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FAQs

What is Power BI for Financial Analytics?

Power BI for Financial Analytics is a finance-focused Power BI training course that teaches participants how to transform financial data into financial statements, analytical reports, KPIs, ratios, and interactive dashboards.

Can beginners learn Power BI for Financial Analytics?

Yes. The supplied financial Power BI training reference states that no previous Power BI knowledge is required, although basic knowledge of financial statements is recommended.

What financial reports can be created using Power BI?

The course covers the creation and analysis of Profit & Loss statements, Balance Sheets, Cash Flow Statements, financial KPI reports, and management dashboards.

Does the course cover DAX?

Yes. DAX is used to create financial measures, ratios, time-intelligence calculations, and other analytical calculations. Microsoft's current Power BI curriculum identifies DAX as a core skill for creating model calculations.

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