PROFICIENCY CERTIFICATE IN FINANCIAL ANALYSIS

PROFICIENCY CERTIFICATE IN FINANCIAL ANALYSIS

Course Duration: 8 to 12 weeks (2 to 3 months)
Course Fee: 15,000 Kenyan Shillings
Weekly Commitment: Minimum of 2 hours per day
Course Overview:
This course provides foundational knowledge and practical skills in financial analysis, enabling students to interpret financial statements, evaluate financial performance, and make data-driven business decisions.

Week 1-2: Introduction to Financial Analysis

  • Understanding Financial Analysis
    • Definition and Importance of Financial Analysis
    • Overview of Key Financial Statements (Income Statement, Balance Sheet, Cash Flow Statement)
    • The Role of Financial Analysis in Business Decision-Making
  • Fundamental Accounting Concepts
    • Understanding Debits and Credits
    • The Accounting Cycle
    • Basic Financial Ratios
  • Practical Exercises: Analyzing sample financial statements

Week 3-4: Financial Statement Analysis

  • Income Statement Analysis
    • Revenue, Expenses, and Profitability Metrics
    • Trend Analysis and Comparative Analysis
    • Gross Margin, Operating Margin, and Net Margin Calculations
  • Balance Sheet Analysis
    • Assets, Liabilities, and Equity Components
    • Liquidity and Solvency Ratios
    • Analyzing a Company’s Financial Position
  • Cash Flow Statement Analysis
    • Operating, Investing, and Financing Cash Flows
    • Understanding Cash Flow Ratios
    • Evaluating a Company’s Cash Flow Health
  • Practical Exercises: Performing detailed analysis of financial statements

Week 5-6: Ratio Analysis and Interpretation

  • Financial Ratio Categories
    • Profitability Ratios (e.g., ROA, ROE)
    • Liquidity Ratios (e.g., Current Ratio, Quick Ratio)
    • Efficiency Ratios (e.g., Inventory Turnover, Receivables Turnover)
    • Solvency Ratios (e.g., Debt to Equity, Interest Coverage)
  • Interpreting Financial Ratios
    • Comparing Ratios Across Industries
    • Benchmarking Against Competitors
    • Using Ratios for Investment and Business Decisions
  • Practical Exercises: Calculating and interpreting key financial ratios

Week 7-8: Advanced Financial Analysis Techniques

  • Horizontal and Vertical Analysis
    • Comparative Analysis of Financial Statements Over Time
    • Common-Size Financial Statements
    • Identifying Trends and Patterns in Financial Data
  • Break-Even and Cost-Volume-Profit (CVP) Analysis
    • Calculating Break-Even Points
    • Understanding the Impact of Costs and Sales Volume on Profitability
    • Sensitivity Analysis and Scenario Planning
  • Practical Exercises: Conducting advanced financial analysis using real or simulated data

Week 9-10: Financial Modeling and Forecasting

  • Introduction to Financial Modeling
    • Building Financial Models Using Spreadsheets
    • Creating Pro Forma Financial Statements
    • Scenario and Sensitivity Analysis in Financial Models
  • Forecasting Techniques
    • Time Series Analysis and Trend Forecasting
    • Regression Analysis
    • Cash Flow and Revenue Projections
  • Practical Exercises: Developing basic financial models and forecasts

Week 11-12: Capstone Project and Professional Development

  • Capstone Project
    • Conduct a Comprehensive Financial Analysis of a Real or Simulated Company
    • Prepare a Detailed Financial Report with Insights and Recommendations
    • Present and Defend Your Analysis
  • Career Pathways in Financial Analysis
    • Building a Portfolio of Financial Analysis Work
    • Networking and Job Search Strategies in Finance
    • Continuing Education and Certification Opportunities (e.g., CFA, CPA)
  • Practical Exercises: Final project development and career planning

Final Week: Course Review and Assessment

  • Comprehensive Review of Key Concepts
  • Final Assessment: Written and practical evaluation based on the capstone project and course content

Certification
Upon successful completion of the course, students will receive a "Proficiency Certificate in Financial Analysis," demonstrating their ability to analyze financial data, interpret financial statements, and support strategic decision-making in a business environment.

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