One of the biggest changes in the past decade is the rapid adoption of machine learning, AI, and big data in investment decision making. This course introduces learners with knowledge of the investment industry to foundational statistical concepts underpinning machine learning as well as advanced AI techniques. This course demonstrates core modeling frameworks along with carefully selected real-world investment practice examples.
The course seeks to familiarize learners with two important programming languages — Python and R (no prior knowledge of Python or R necessary). The motivation is to demonstrate the elegance — and speed — simple programming brings to the investment decision-making process. The reading material in this course offers in-practice insights curated from the blogs of CFA Institute as well as other leading publications.Read more.
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The techniques and tools covered in Statistics for Machine Learning for Investment Professionals are most similar to the requirements found in Data Scientist job advertisements.
Statistics for Machine Learning for Investment Professionals is a part of one structured learning path.
3 Courses
5 Months
Data Science for Investment Professionals
