Practical Financial Data Analysis With Python Data Science
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 2.61 GB | Duration: 8 section | 66 lectures | (5h 58m)

What you'll learn
LEARN To Obtain Real World Financial Data FREE From Yahoo and Quandl
BE ABLE To Read In, Pre-process & Visualize Time Series Data
IMPLEMENT Common Data Processing And Visualisation Techniques For Financial Data in Python
LEARN How To Use Different Python-based Packages For Financial Analysis
MODEL Time Series Data To Forecast Future Values With Classical Time Series Techniques
USE Machine Learning Regression For Building Predictive Models of Stock prices
LEARN How to Use Facebook's Powerful Prophet Algorithm For Modelling Financial Data
IMPLEMENT Deep learning methods such as LSTM For Forecasting Stock Data

Requirements
Prior Familiarity With The Interface Of Jupiter Notebooks and Package Installation
Prior Exposure to Basic Statistical Techniques (Such As p-Values, Mean, Variance)
Be Able To Carry Out Data Reading And Pre-Processing Tasks Such As Data Cleaning In Python
Interest In Working With Time Series Data Or Data With A Time Component To Them
Description
THIS IS YOUR COMPLETE GUIDE TO FINANCIAL DATA ANALYSIS IN PYTHON!

This course is your complete guide to analyzing real-world financial data using Python. All the main aspects of analyzing financial data- statistics, data visualization, time series analysis and machine learning will be covered in depth.

If you take this course, you can do away with taking other courses or buying books on Python-based data analysis.