Data Engineering Course for Financial Data, ML, and Backtesting

Data Engineer: Prepare Financial Data for ML and Backtesting

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What Will You Learn?

After learning how to extract financial data using Data Builder, you will naturally be wondering how to make use of all the standard data you have pulled. In this course, you will learn how to structure data in such a way that seemingly mundane data can be transferred into useful information that can give you an edge in the financial markets.

About This Course

About This Course
Provider: Udemy
Format: Online
Duration:1hr 24min to complete [Approx]
Target Audience: Intermediate
Learning Objectives: After Completing this free course you will learn how to extract information from standard financial data without writing any code using Crypto Wizards software.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Shaun McDonogh
Key Topics: you will learn The Power of Data Engineering, Data Extraction - Downloading and Viewing Data, Table Stats - Data Statistical Overview. 
Topic Covered: 
- Introduction
- Calculate returns in terms of values, percentages, differences, and absolute moves (volatility)
- Add time sequences to your data for predictions in machine learning
- Add correlation and co-integration information comparing any columns/features for any assets
- Add technical indicators
- Add conditions for making predictions about the future
- Add filters for removing unnecessary data
- Prepare your features for machine learning (although not required for backtesting

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