Data Engineer: Prepare Financial Data for ML and Backtesting

4.1

Learners: 4,457

Instructor: Shaun McDonogh

Duration:

This course is perfect for anyone looking to gain an edge in the financial markets. With Data Engineer, you will learn how to structure data to make use of seemingly mundane data and turn it into useful information. You will learn how to calculate returns, add time sequences, correlation and co-integration information, technical indicators, conditions, and filters. All of this can be done without writing a single line of code. Register with Crypto Wizards to take advantage of this material and start preparing financial data for ML and backtesting. ▼▲

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Udemy

Certificate:

No Information

Language:

English

Start Date:

2022-04-03

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

This course provides an overview of how to use Data Engineer to prepare financial data for machine learning and backtesting. Students will learn how to extract financial data using Data Builder, and how to structure data in such a way that seemingly mundane data can be transferred into useful information. Students will learn how to calculate returns in terms of values, percentages, differences and absolute moves (volatility), add time sequences to 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, and prepare features for machine learning (although not required for backtesting). No coding experience is required, although registered members of Crypto Wizards will have access to additional material.

Course Syllabus

Introduction - Getting Started

Transforming Features

TA - Technical Analysis

Conditions, Filters and ML Preparation

Summary - Putting It All Together

Pros & Cons

Pros Cons

Outstanding course with great content and visuals that are easy to understand and engage with.
The instructor, Shaun, is highly praised for his teaching concept and methodology, making the course one of the best in ML in Finance.

The software used in the course is fee-based, which may not have been clearly mentioned or skipped over in the beginning, leading to unexpected costs for some learners.
No specific disadvantages were mentioned in the reviews provided.