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  • Fundamentals of Microsoft Excel in Finance
  • Basic to Advance Financial Functions in Excel
  • Financial Analysis & Interactive Dashboards
  • Forecasting
  • Financial Statements
  • Financial Modeling

To be alive, every business organization needs the service of a Financial Analyst to help glean insight from the company’s financial information and to make profitable result-driven decisions. 

Similarly, companies seek Financial Modelers whose jobs are to design financial models that describe the performance of an investment like a financial asset, which in turn helps the organization find new market opportunities, forecast, and quantify risk. 

Understanding the dynamics and knowledge of the skills needed to prepare and interpret financial records like balance sheets, cash flow statements, income statements, statements of shareholder’s equity, and designed interactive financial models is of tremendous value to anyone seeking a space in the financial and business environment.

This course Financial Analysis & Modelling is therefore structured to equip you with the analytical and practical skills needed to become a competent financial analyst and a financial modeler. 

  • A laptop with Ms Excel
  • Financial Analyst
  • Financial Managers
  • Sales Managers
  • Accountants
  • Business Managers
  • Data Analysts
  • Finance Specialist
  • Financial Modeler
  • Data Analysts
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  • Section 1 : Financial Analysis & Modeling I - MS Excel Fundamentals 15 Lectures 00:48:06

    • Lecture 1 :
    • 1.1 Introduction to Excel Preview
    • Lecture 2 :
    • 1.2 Formatting
    • Lecture 3 :
    • 1.3 Percentage Calculation
    • Lecture 4 :
    • 1.4 Basic Calculation
    • Lecture 5 :
    • 1.5 Data Validation
    • Lecture 6 :
    • 1.6 IF Statement
    • Lecture 7 :
    • 1.7 SUM
    • Lecture 8 :
    • 1.8 SUMIF
    • Lecture 9 :
    • 1.9 SUMIFS
    • Lecture 10 :
    • 1.10 COUNT
    • Lecture 11 :
    • 1.11 COUNTIF
    • Lecture 12 :
    • 1.12 COUNTIFS
    • Lecture 13 :
    • 1.13 AVERAGE
    • Lecture 14 :
    • 1.14 AVERAGEIF
    • Lecture 15 :
    • 1.15 AVERAGEIFS
  • Section 2 : Financial Analysis & Modeling II - Advance Excel Functions 6 Lectures 00:48:03

    • Lecture 1 :
    • 2.16 HlookUp
    • Lecture 2 :
    • 2.17 VlookUp
    • Lecture 3 :
    • 2.18 XlookUp
    • Lecture 4 :
    • 2.19 Pivot Table
    • Lecture 5 :
    • 2.20 Power Query (Transforming 1)
    • Lecture 6 :
    • 2.21 Power Query (Transforming 2)
  • Section 3 : Financial Analysis & Modeling III - Financial Functions & Analysis 5 Lectures 00:28:00

    • Lecture 1 :
    • 3.26 Internal Rate of Return
    • Lecture 2 :
    • 3.25 Amortization Table
    • Lecture 3 :
    • 3.24 PMT (Loan Monthly Payment)
    • Lecture 4 :
    • 3.23 Future Value (Compounding Frequencies)
    • Lecture 5 :
    • 3.22 Present Value (PV)
  • Section 4 : Financial Analysis & Modeling IV - Financial Statements & Models 7 Lectures 01:42:00

    • Lecture 1 :
    • 4.27 Profit Loss Statement Pt 1
    • Lecture 2 :
    • 4.28 Profit Loss Statement Pt 2
    • Lecture 3 :
    • 4.29 Profit Loss Statement Pt 3
    • Lecture 4 :
    • 4.30 Balance Sheet
    • Lecture 5 :
    • 4.31 Three Statement Financial Model Pt 1
    • Lecture 6 :
    • 4.32 Three Statement Financial Model Pt 2
    • Lecture 7 :
    • 4.33 Financial Ratios
  • Section 5 : Financial Analysis & Modeling V - Sales Reporting & Financial Dashboards 3 Lectures 01:07:16

    • Lecture 1 :
    • 5.34 Sales Reporting (Dashboard) Pt 1
    • Lecture 2 :
    • 5.35 Sales Reporting (Dashboard) Pt 2
    • Lecture 3 :
    • 5.36 Sales Reporting (Dashboard) Pt 3
  • Section 6 : Financial Analysis & Modeling VI - Financial Analysis & Forecasting 8 Lectures 01:12:24

    • Lecture 1 :
    • 6.37 Trend Analysis
    • Lecture 2 :
    • 6.38 Comparative Analysis
    • Lecture 3 :
    • 6.39 Regression Analysis Pt 1 (Relationship)
    • Lecture 4 :
    • 6.40 Regression Analysis Pt 2 (Forecasting)
    • Lecture 5 :
    • 6.41 What If Analysis (Data Table) Pt 1
    • Lecture 6 :
    • 6.42 What If Analysis (Data Table) Pt 2
    • Lecture 7 :
    • 6.43 What If Analysis (Scenario Manager & Goal Seek) Pt 3
    • Lecture 8 :
    • 6.44 Forecasting
  • Section 7 : Financial Analysis & Modeling VII - Financial Modeling 13 Lectures 02:41:02

    • Lecture 1 :
    • 7.45 Financial Modelling pt1 (Facts & Findings)
    • Lecture 2 :
    • 7.46 Financial Modelling pt2 (Monthly Revenue 1)
    • Lecture 3 :
    • 7.47 Financial Modelling pt3 (Monthly Revenue 2)
    • Lecture 4 :
    • 7.48 Financial Modelling pt4 (Monthly Revenue 3)
    • Lecture 5 :
    • 7.49 Financial Modelling pt5 (Monthly Revenue 4)
    • Lecture 6 :
    • 7.50 Financial Modelling pt6 (Monthly P&L 1)
    • Lecture 7 :
    • 7.51 Financial Modelling pt7 (Monthly P&L 2)
    • Lecture 8 :
    • 7.52 Financial Modelling pt8 (Capital Structure)
    • Lecture 9 :
    • 7.53 Financial Modelling pt9 (Fixed Asset Schedules)
    • Lecture 10 :
    • 7.54 Financial Modelling pt10 (Working Capital)
    • Lecture 11 :
    • 7.55 Financial Modelling pt11 (Annual P&L)
    • Lecture 12 :
    • 7.56 Financial Modelling pt12 (Cash Flow Statement)
    • Lecture 13 :
    • 7.57 Financial Modelling pt13 (Balance Sheet)
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My name is Awesome Emmanuel. I'm a British Council certified instructor based in Lagos, Nigeria. A data analyst/database administrator with over 6 years of active industrial work experience. A seasoned and resourceful ICT Tech-skill instructor, Data analyst consultant, Edu-Tech consultant and a web developer with great flair for providing soft and digital ICT skills.
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