Manage Finance Data with Python & Pandas: Unique Masterclass . Step into Financial Analyst role and give advice on a client´s financial Portfolio (Final Project) Import large Financial Datasets / historical Prices from Web Sources and analyze, aggregate and visualize them . Calculate Return, Risk, Correlation and Rolling Statistics for Stocks, Indexes and Portfolios . Create Interactive Price Charts with Technical Indicators (Volume, OHLC, Candlestick, SMA etc.) Create Financial Indexes (price-, equal- and value-weighted) and understand the difference between Price Return and Total Return . Intuitively understand Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Risk Diversification)Authentication failed. Unique API key is not valid for this user.
Who this course is for:
Investment & Finance Professionals who want to transition from Excel into Python to boost their careers and working efficiency.
(Finance) Students and Researchers who need to handle large datasets and reached the limits of Excel.
Data Scientists who want to improve their Data Handling/Manipulation skills (in particular for Time Series Data)
Everyone who want to step into (Financial) Data Science. Pandas is Key to everything.
Everyone curious about how Financial Performance is measured and how (Stock) Indexes and Portfolios are created, analyzed, visualized and optimized. It´s the easiest way to understand the concepts with data examples rather than theories and formulas.
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Manage Finance Data with Python & Pandas: Unique Masterclass free download