About This Course

Machine learning has become increasingly popular in finance due to its ability to analyze and interpret large amounts of financial data. Machine Learning Fundamentals for Finance is a course that aims to provide students with the foundational knowledge required to apply machine learning techniques to finance-related tasks such as risk management and fraud detection. This course is designed for individuals who have a basic understanding of python programming and want to learn how to apply machine learning in finance.

The course will cover the fundamental concepts of machine learning, including supervised and unsupervised learning, and classification. The course will be divided into 2 modules/sections, each covering a specific topic.

Intoruction to Machine Learning -> estimated time = 60 minutes

The first module aims to introduce students to the concept of machine learning. Students will be provided with a video-based learning experience and text material that will provide an understanding of the underlying principles, goals of machine learning, and machine learning application in businesses. Upon completion of the video, students will be evaluated on their knowledge through a quiz consisting of 10 multiple-choice questions. Here are the sections that exist in this module:

How Machine Learning Works -> estimated time = 2 hours

The second module of this course is focused on providing students with a comprehensive understanding of how machine learning works. Through a video-based learning approach and text material, students will be introduced to machine learning processes and type of machine learning. Upon completion of the video, students will be evaluated on their knowledge through a quiz consisting of 10 multiple-choice questions. In addition to the quiz, students will be given a coding assignment that will require them to use basic machine learning algorithms. This assignment will provide students with hands-on experience in implementing these techniques, and will help to reinforce their understanding of the concepts covered in the module. Here are the sections that exist in this module:

By the end of this course, students will have a solid understanding of the fundamentals of machine learning and how to apply it to finance-related tasks.