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Machine Learning in Financial Services using Python and Excel

Enrollment in this course is by invitation only

About This Course

Machine learning algorithms are used to spot fraud, automate trading activities, and give advisory services (financial & risk) to investors. Machine learning automatically examines millions of data sets instantly to improve the results without being explicitly programmed, saving you time and human errors.

The workshop is practical and focused, with each module presented, clarified with step-by step explanations and hands-on examples. There will be simulation exercises with practical exercises focusing on unique financial modelling scenarios.

Requirements

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Course Staff

Eugene Gerber

MBA (Wits), M.Sc (RAU With over 20 years’ experience using Excel in the fields of corporate finance, data analysis, financial modelling, management reporting, budgeting and forecasting, he is considered by many to be one of the leading Excel users in South Africa. His experience in summarizing and visually presenting large datasets in the industry, combined with his ability to easily convey complex topics, ensures that delegates receive maximum benefit from the course. He honed his Excel skills whilst being involved in projects across various industries in Belgium, Benin, Cote d’Ivoire, France, Ghana, Kenya, Lesotho, Mauritius, Mozambique, Namibia, Rwanda, Swaziland, Tanzania, Uganda, the United Kingdom, the USA and Zambia. He is currently a director at a niche project and corporate advisory, capital raising and business development firm.

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