Manage Finance Data with Python & Pandas: Unique Masterclass

Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)

The Finance and Investment Industry is experiencing a dramatic change driven by ever increasing processing power & connectivity and the introduction of powerful Machine Learning tools. The Finance and Investment Industry more and more shifts from a math/formula-based business to a data-driven business.MANAGE FINANCE DATA WITH PYTHON & PANDAS best prepares you to master the new challenges and to stay ahead of your peers, fellows and competitors! Coding with Python/Pandas is one of the most in-Demand skills in Finance.

Best Seller Course: Python Data Science with Pandas: Master 12 Advanced Projects

What you’ll learn

• Step into the 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, analyze and optimize financial Portfolios and understand the use of the Sharpe Ratio
• Intuitively understand Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Risk Diversification) with Real Data examples
• 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
• Easily switch between daily, weekly, monthly and annual returns and understand the benefits of log returns
• Start from Zero and learn all the Basics of the powerful Pandas Library

You May Also Need This Course: Python for Excel: Use xlwings for Data Science and Finance

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