Manage Finance Data with Python & Pandas: Unique Masterclass

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Manage Finance Data with Python & Pandas: Unique Masterclass Udemy coupons

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 | 29.5 hours on-demand video course

Update - 2023**Fully Updated (Pandas 2.1) in November 2023**
**Now with ChatGPT for Pandas & Data Analytics and Online Coding Exercises!**

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 is more and more shifting from a math/formula-based business to a data-driven business.

Pandas is the Excel for Python and learning Pandas from scratch is almost as easy as learning Excel. Pandas seems to be more complex at a first glance, as it simply offers so much more functionalities. The workflows you are used to do with Excel can be done with Pandas more efficiently. Pandas is a high-level coding library where all the hardcore coding stuff with dozens of coding lines are running automatically in the background. Pandas operations are typically done in one line of code!

MANAGE FINANCE DATA WITH PYTHON & PANDAS best prepares you to master 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.

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What you’ll learn in Manage Finance Data with Python & Pandas Course

  • 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

Who this Manage Finance Data with Python & Pandas 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.
Josh Smith
Josh Smith

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