This course teaches you how to apply machine learning and artificial intelligence techniques for the purposes of financial analysis, both in Python and R.
Who is this course for?
Anyone who wishes to learn how to apply artificial intelligence and machine learning techniques within Python and R. The course is particularly suited to those who work with financial data regularly, and wish to learn how to apply data science know-how to this field. You should have at least a basic grasp of statistics to take this course. Ideally, you will have some familiarity with Python and R. However, this is not mandatory as you will be learning how to implement the techniques step-by-step, along with a detailed overview of the applications behind the specific techniques we will cover.
What will you receive upon purchasing this course?
Upon purchasing this course, you will gain access to:
This course will cover the following areas:
Financial Analysis with R
Machine Learning with Python
R Packages and Shiny Web Apps
My name is Michael Grogan, I am a data science consultant and educator.
I have published numerous tutorials and courses on Python and R, both for external publishers and through the michaeljgrogan.com platform. As a consultant, I have been involved with numerous business intelligence projects which have involved the use of advanced machine learning techniques to generate data-driven solutions.