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About This Course

This course introduces learners to foundational statistical concepts underpinning machine learning as well as advanced AI techniques used in the investment profession. Demonstrating 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.

What You’ll Learn

  • Describe the importance of identifying information patterns for building models
  • Explain probability concepts for solving investing problems
  • Explain the use of linear regression and interpret related Python and R code
  • Describe gradient descent, explain logistic regression, and interpret Python and R code
  • Describe the characteristics and uses of time-series models

Skills Gained

Learn to explain use of linear regression, interpret Python and R code and describe gradient descent, logistic regression and the uses of time-series models.

Topics –°overed

  • Fintech

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