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: Complete Pandas Bootcamp in 2020: Master your Data in Python
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: The Ultimate Pandas Bootcamp: Advanced Python Data Analysis
