Manage Finance Data with Python & Pandas: Unique Masterclass online course has been taught by Alexander Hagmann on Udemy, this course is an excellent way to Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta).
Introduction to The Complete Python Developer Certification Course
This course is perfect for everyone who want to step into (Financial) Data Science. Pandas is Key to everything.
This course is for 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.
This course is perfect for (Finance) Students and Researchers who need to handle large datasets and reached the limits of Excel.
This course is for Investment & Finance Professionals who want to transition from Excel into Python to boost their careers and working efficiency.
This course is perfect for Data Scientists who want to improve their Data Handling/Manipulation skills (in particular for Time Series Data).
After completing the course, you’ll
Be able to create, analyze and optimize financial Portfolios and understand the use of the Sharpe Ratio
Be able to create Financial Indexes (price-, equal- and value- weighted) and understand the difference between Price Return and Total Return
Be able to create Interactive Price Charts with Technical Indicators (Volume, OHLC, Candlestick, SMA etc.)
Be able to easily switch between daily, weekly, monthly and annual returns and understand the benefits of log returns
Be able to 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
Be able to Intuitively understand Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Risk Diversification) with Real Data examples
Step into the Financial Analyst role and give advice on a client´s financial Portfolio (Final Project)
Start from Zero and learn all the Basics of the powerful Pandas Library
Course Name: Manage Finance Data with Python & Pandas: Unique Masterclass
Description: Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)
Author: Alexander Hagmann
Rating: As of 11/2020… 4.6 (311 ratings) and 3,519 students enrolled
Includes: 27 hours of video, 21 articles, 13 downloadable resources, and 257 lectures
Course Type: Self Paced Online Course. Lifetime Access