February 2019
Intermediate to advanced
2h 19m
English
Overview
In this 2 hr course, you'll learn how to apply advanced Machine Learning techniques to financial data analysis and prediction. Discover hands-on techniques to structure, analyze, and predict financial trends using tools like pandas, Scikit-Learn, and TensorFlow.
What I will be able to do after this course
- Gain practical skills in financial forecasting using Machine Learning models.
- Learn data preparation techniques for improved financial data analysis.
- Understand how to implement and compare multiple Machine Learning models for predictive tasks.
- Get introduced to tools like pandas, Scikit-Learn, and TensorFlow for data analysis and modeling.
- Master the process of applying ML to predict currency exchange rates and other financial trends.
Course Instructor(s)
Jakub Konczyk is an experienced software engineer and AI researcher with a focus on applications in finance. With years of experience in teaching technical topics, he combines his real-world expertise with an approachable teaching style. Jakub is dedicated to demystifying complex ML concepts for learners of varying backgrounds.
Who is it for?
This course is perfect for aspiring data scientists and ML enthusiasts who wish to pivot into the finance sector. It's also great for financial professionals such as investment analysts and portfolio managers looking to enhance their technical skillsets. Prior basic knowledge of Python programming is recommended but no prior experience in financial data analysis is necessary.
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