Data-Driven Investing with Python Financial Data Science

Become a Data Driven Investor. Take the guesswork out of your investing forever. Leverage the power of Financial Data Science, Financial Analysis, Python, and Quantitative Finance to make robust investment decisions (and generate Alpha).

Discover how to use rigorous statistical techniques on Python to guide your investment decisions (even if you don't know statistics or your math is weak). Say hello to the most comprehensive Data Driven Investing course on the internet. Featuring:# =============================# 2 PARTS, 8 SECTIONS TO MASTERY # =============================(plus, all future updates included.

)Structured learning path, Designed for Distinction™ including:12. 5 hours of engaging, practical, on-demand HD video lessonsReal-world applications throughout the course200+ quiz questions with impeccably detailed solutions to help you stay on track and retain your knowledgeAssignments that take you outside your comfort zone and empower you to apply everything you learnA Practice Test to hone in and gain confidence in the core evergreen fundamentalsPython code (built from scratch) to help you build a replicable system for investingMathematical proofs for the mathematically curiousAn instructor who's insanely passionate about Finance, Investing, Python, and Financial Data SciencePART I: INVESTMENT ANALYSIS FUNDAMENTALSStart by gaining a solid command of the core fundamentals that drive the entire investment analysis / financial analysis process. Explore Investment Security Relationships & Estimate ReturnsDiscover powerful relationships between Price, Risk, and ReturnsIntuitively explore the baseline fundamental law of Financial Analysis - The Law of One Price.

Learn what "Shorting" a stock actually means and how it worksLearn how to calculate stock returns and portfolio returns from scratchWork with real-world data on Python and know exactly what your code does and why it worksEstimate Expected Returns of Financial SecuritiesExplore what "expected returns" are and how to estimate them starting with the simple meanDive deeper with "state contingent" expected returns that synthesize your opinions with the dataLearn how to calculate expected returns using Asset Pricing Models like the CAPM (Capital Asset Pricing Model)Discover Multi-Factor Asset Pricing Models including the "Fama French 3 Factor Model", Carhart 4 ("Momentum"), and moreMaster the theoretical foundation and apply what you learn using real-world data on Python your own. Quantify Stock Risk and Estimate Portfolio RiskExamine the risk of a stock and learn how to quantify total risk from scratchApply your knowledge to any stock you want to explore and work withDiscover the 3 factors that influence portfolio risk (1 of which is more important than the other two combined)Explore how to estimate portfolio risk for 'simple' 2-asset portfoliosLearn how to measure portfolio risk of multiple stocks (including working with real-world data on Python. )Check your MasterySo.