Unique Masterclass 2019-10 – Download

explanation

Managing Financial Data with Python & Pandas: A unique masterclass on organizing, analyzing, and optimizing inventory storage periods using Pandas, Numpy, Seaborn, and Plotly. The metrics for this asset (CAPM, alpha, beta) will be familiar to you. It doesn’t matter if you want to learn machine learning, want comfort and efficiency in your work, take your first steps in financial data, quit Excel and do financial data management with the help of Python and Pandas. The time frame will be discussed.

Managing Financial Data Using Python and Pandas: What is a Unique Masterclass Course?

Get a role in assets, easy offers to customers and economic analysis.
Input data sets and massive financial and price history through web resources and analytics, stacking, and image storage.
Calculate the role of returns, risk, solidarity and statistics for commodities, indices and assets.
Understanding the composition, analysis and optimization of assets, finance and the use of the Sharpe ratio.
Intuitive understanding of modern asset (CAPM, Beta, Alpha, CML, SML, Risk Diversification) theory through examples of real data
Charting, passive pricing using technical analysis indicators (volume, OHLC, candlestick, SMA, etc.)
Create financial metrics (price, parity, value) and understand the difference between rate of return and total return.
Easily switch between daily, weekly, monthly, and annual returns and understand the benefits of using reports.
Start from 0 and learn all cases. The default library is the powerful Pandas.

Specification period

Publisher: Udemy
Teachers: Alexander Hagmann
Language: English,
Education level: Beginner to advanced;
Number of classes: 257
Time: 26 hours 54 minutes

this process

Manage financial data with Python Pandas’ unique masterclass content

precondition:

No specific financial knowledge required! The main principles of financial theory and portfolio theory are explained intuitively based on data examples.

Ideally spreadsheet basics/programming basics (not required, this course will walk you through the basics).

A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. This course guides you through installing the free software you need.

Internet connection capable of streaming video

Some high school level math skills would be great (not required, but helpful).