Unique Masterclass 2019-10 – Downloadly

Description

Manage Financial Data with Python and Pandas: Unique Masterclass, a training, analysis and inventory phase using Pandas, Numpy, Seaborn and Plotly, covering construction, analysis, optimization, etc. The indicators of this asset (CAPM, Alpha, Beta) will be familiar to you. It doesn’t matter whether you want to learn machine learning or you want to improve comfort, efficiency at work, getting started with financial data, exiting Excel, and financial data management with the help of Python and Pandas period, it will be discussed.

Which course “Managing Financial Data with Python and Pandas: Unique Masterclass” to learn:

Earn the easiest possible role in economic analysis and receive suggestions on the assets and customers
Enter the data set and enormous financial and price history through web resources and analysis, stacking and image storage
Calculate return, risk, solidarity and the role of statistics for products, indices and assets
The construction, analysis and optimization of assets, finance and understanding the use of the Sharpe ratio
Intuitive understanding of the theory of asset value, modern (CAPM, Beta, Alpha, CML, SML, risk diversification) with examples from real data
Creating the chart, the price of the passive with the technical analysis indicators (volume, OHLC, candlestick, SMA, etc.)
Create financial indicators (price, equivalent and value weighted) and understand the difference between return and total return
Easily switch between returning daily, weekly, monthly and annual reports and understand the benefits of using reports
Start from scratch and learn all cases. The base library is a powerful Pandas

Specification period

Publisher: Udemy
Teacher: Alexander Hagmann
Language: English,
Education Level: Introductory to Advanced,
the number of teaching hours: 257
Duration: 26 hours and 54 minutes

This course

Manage financial data with the unique content of the Python Pandas Masterclass

Required courses:

No specific financial knowledge required! The course intuitively explains the most important fundamentals of finance and portfolio theory using data examples.

Ideally some spreadsheet/programming basics (not mandatory, the course will walk you through the basics)

A desktop computer (Windows, Mac, or Linux) that can store and run Anaconda. The course walks you through installing the necessary free software.

An internet connection that can stream videos

Some high school level math skills would be great (not essential but helpful)