EVENT DESCRIPTION

NOTE: This is an on demand learning bundle. This course suite is available 24 hours a day, 7 days a week. Once registered, you can access the material at any time. However, you will only have access to the course for 30 days AFTER REGISTRATION closes.

Invest in machine learning skills and keep up with the changing world of finance.

This bundle includes two online courses:

1. Machine Learning for Finance – Python Fundamentals (3 hours)

As the skillsets of investment bankers, asset managers, sales and trading professionals continue to rapidly evolve, developing a skillset in Python fundamentals is essential if you want to progress. Utilize your Excel knowledge to learn Python in an intuitive and easy way. Learn to write and execute basic Python code to perform advanced calculations, generate outputs, create variables, and abstract from data. Build custom functions and learn how to filter, segment, and summarize data.

Click to see the full course description for Machine Learning for Finance – Python Fundamentals.

2. Applied Machine Learning Algorithms for Finance Professionals (7 hours)

This is an advanced course for finance professionals with a foundational knowledge of Python and machine learning. Participants will use the skills learned in the first course of this bundle, Machine Learning for Finance - Python Fundamentals, to build machine learning investor classifiers and construct training data sets, testing data sets, and model pipelines. Explore case studies from investment banking and capital markets applications that are being used today to advise Fortune 500 companies all over the world.

Click to see the full course description for Applied Machine Learning Algorithms for Finance Professionals.

KEY TAKEAWAYS

  • How to set-up Anaconda and Jupyter Notebooks for Python
  • Understand Python Native Data Types (Strings, Booleans, Integers, Lists, Tuples, and Sets)
  • Create and manipulate important data structures such as lists, tuples, sets, and dictionaries
  • Perform advanced data cleaning, exploration, and visualization
  • Engineer features based on conditional relationships between existing features
  • Build and finalize a machine learning classifier

WHO WILL BENEFIT

Finance professionals who are new to programming and want to learn the foundations of Python and learn how to apply that knowledge to build machine learning investor classifiers, construct training data sets, testing data sets, and model pipelines. The course is suitable for CPAs who work in sales and trading, investment banking, capital markets, asset management, treasury management, corporate development, Financial Planning & Analysis (FP&A), or students working towards a career in these areas.