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fintech Intermediate 21 lessons

Financial Modeling

Build valuation models. Master Excel and Python for Discounted Cash Flow (DCF), LBOs, and forecasting financial performance.

Financial modeling is the core skill of investment banking and corporate finance. This course teaches you to build robust, dynamic models in Excel and Python. You will learn to construct 3-Statement models (Income, Balance Sheet, Cash Flow), perform Discounted Cash Flow (DCF) valuations, and analyze Mergers & Acquisitions (M&A). We also cover automating data ingestion with Python to replace manual copy-pasting. Essential for analysts and fintech product managers.

100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Analysts
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Complete Course Syllabus

  • 1
    Accounting Review
    How the 3 statements link together.
  • 2
    Excel Modeling
    Best practices for layout, assumptions, and formulas.
  • 3
    DCF Valuation
    Projecting free cash flow and terminal value.
  • 4
    Python Automation
    Using Pandas to clean and ingest ledger data.
  • 5
    Scenario Analysis
    Building toggles for Bull, Bear, and Base cases.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$90k - $140k

Career Paths

Financial Analyst $90k-$130k
Investment Associate $120k-$180k
Strategic Finance Mgr $110k-$160k

What You Will Learn

Build dynamic 3-Statement financial models in Excel
Perform DCF valuations to determine company worth
Automate financial data analysis using Python scripts
Create sensitivity tables to test assumptions
Audit models for errors and circular references

Skills You Will Gain

Financial Modeling Excel Advanced Python for Finance Valuation Forecasting

Who Is This For

Financial Analysts
Fintech PMs
Investment Bankers

Prerequisites

Excel Basics
Accounting Basics

Financial Modeling FAQs

Accounting?

Basic understanding of financial statements needed.

Python vs Excel?

Excel for presentation; Python for data crunching.

Mac vs PC?

PC preferred for Excel shortcuts, but Mac works.

Real data?

We use public company 10-K filings.

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