Manage Finance Data with Python & Pandas: Unique Masterclass
Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)
Created by Alexander Hagmann | 26 hours on-demand video course
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. This course is one of the most practical courses on Udemy with 200 Coding Exercises and a Final Project. You are free to select your individual level of difficulty. Leave Excel behind and manage your Financial Data with Python and Pandas! Pandas is the Excel for Python and learning Pandas from scratch is almost as easy as learning Excel.
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
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