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Financial Analysis in Python

Finance

ISBN #978-1-959142-18-8

Financial Analysis in Python

Jim Brau, PhD, CFA, CFP
Andrew Holmes, PhD, CFA
Ben Blau, PhD
Mark Keith, PhD
Stephen Owen, PhD

Finance and technology have been interlocked for decades. With the explosion of fintech, the stakes are even higher. The finance industry has burgeoning demand for professionals equipped to handle both big data and high-performance computing. In this resource, students learn Python in a strategic manner tailored to finance and data analytics. They are introduced to key finance topics and trained to use Python skills to solve problems as they work through case studies.

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Course Objective

This resource teaches students Python skills tailored to finance and data analytics, equipping them to handle big data and high-performance computing through case studies on key finance topics.

Table of Contents

Chapter 1: Introduction to Financial Analysis in Python
Chapter 2: Python: Variables and Flow Control
Chapter 3: Python: I-P-O and Collections
Chapter 4: Python: Iterations and Packages
Chapter 5: Python: DataFrames
Chapter 6: Univariate: Statistics and Visualization
Chapter 7: Python Functions and The Time Value of Money
Chapter 8: Debt Securities–Loans & Bonds
Chapter 9: Equity Securities
Chapter 10: Bivariate: Num/Num Stats and Viz
Chapter 11: Bivariate: Cat/Num Stats and Viz
Chapter 12: Multivariate: Numeric
Chapter 13: Risk and the CAPM
Chapter 14: Cost of Capital
Chapter 15: Financial Forecasting
Chapter 16: Firm Valuation

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