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FINANCIAL MODELING
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3 months

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COURSE DURATION: 3 MONTHS

Financial modeling professionals will remain in high demand, with finance-related roles projected to grow 15% from 2023 to 2033. Its critical role in investment analysis, corporate finance, and risk management ensures its relevance across industries. By 2034, global finance jobs are expected to increase from 8 million to 9.2 million, further solidifying financial modeling's importance. Businesses will continue to depend on financial models for strategic planning, valuations, and decision-making. Its integration with automation, AI, and data analytics makes it a cornerstone of modern financial strategy and economic forecasting.

TOP CAREERS

  • Financial Analyst Analyze company financials & investments
  • Investment Analyst Work in venture capital, private equity, or asset management
  • Corporate Finance Associate Help companies with budgeting & financial planning
  • Business Consultant Build financial models for decision-making

COURSE CURRICULUM

  • Introduction to Financial Modeling & Accounting Basics
  • Financial Ratios & Performance Analysis
  • Introduction to Excel for Financial Modeling
  • Revenue & Expense Forecasting

LEARNING OUTCOMES

  • Understand financial statements and key financial metrics
  • Use Excel to create financial models, forecasts, and budgets
  • Conduct business valuations and investment analysis
  • Build cash flow projections and startup financial models
  • Develop dynamic financial models used by analysts and investors

Testimonials

"The lecturer made the training more lively and awesome, and he made us to understand so perfectly."

- Awonorin A. Ezekiel, Data Analytics

"Before coming here to take the course, I didn’t think I’d know anything concerning Data Analytics. But after taking the first class I knew that it was going to be smooth and easy. The methodology was simple and the tutor did an amazing job with putting us the students through every step. The learning environment is also very conducive. I have had the best time learning here and it was a great experience for me."

- Aroke Oreoluwa, Data Analytics