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DataCamp

Finance Fundamentals with CFI

via DataCamp

Overview

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Co-created with Corporate Finance Institute (CFI), learn the finance and Python fundamentals you need to make data-driven financial decisions. Best of all, there’s no prior coding or finance experience needed. In this track, you’ll learn about data types, lists, arrays, and the time value of money. Throughout the track, you’ll work with popular Python packages, including pandas and NumPy. We created this track to enhance analytical skills in finance, focusing on mathematical techniques for risk management and data analysis. The program progresses into strategic corporate finance, where learners explore capital investment strategies and funding mechanisms. Finally, the track teaches learners to calculate key metrics such as Net Present Value (NPV) in both Excel and Python.

Syllabus

  • Math for Finance Professionals
    • Learn essential finance math skills with practical Excel exercises and real-world examples.
  • Introduction to Python for Finance
    • Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
  • Intermediate Python for Finance
    • Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
  • Corporate Finance Fundamentals
    • Learn key financial concepts such as capital investment, WACC, and shareholder value.
  • Introduction to Business Valuation
    • Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
  • Introduction to Financial Concepts in Python
    • Using Python and NumPy, learn the most fundamental financial concepts.

Taught by

Dakota Wixom, Adina Howe, Kennedy Behrman, Ryan Spendelow, Duncan McKeen, and Jeff Schmidt

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