Post Graduate Certificate in Machine Learning for Finance

Course 1: Programming for AI and Data Analytics- In this course, you will build essential Python and R skills, the most important programming languages in artificial intelligence and data science. Youll gain familiarity with the coding environments, the basic syntax and semantics of the languages, and different libraries of Python and R. Youll also learn to perform data exploration tasks and interpret basic inferential statistics results using Python and R. Finally, youll be able to work on datasets and represent data using different types of charts and plots.Course 2: Corporate Finance and Risk Management - In this course, you will learn and develop the necessary knowledge and skills on the basic and advanced topics related to corporate finance and risk management. You will learn the basics of cash flow discounting and will be able to conduct the valuation of a set of given cash flows using MS Excel. You will be able to understand and apply the concept of risk in estimating the cost of capital for risky projects. You will be able to compare the profitability of different projects using criteria such as NPV, IRR, Payback period, etc. Lastly, you will gain a comprehensive understanding of the concept of market efficiency and its implications for financial markets. Course 3: Wealth Management and Portfolio Investing- In this course, you will learn the basic and advanced concepts related to wealth management and portfolio investing. Through hands-on practice, youll expand your knowledge of essential topics such as portfolio optimization, asset pricing models, and portfolio performance evaluation. You will also be able to conduct portfolio analysis and optimization using MS Excel, and compare the portfolios for their risk-adjusted performance. Course 4: Machine Learning and AI- In this course, you will learn machine learning concepts and algorithms. This course will cover applications of machine learning concepts and popular supervised and unsupervised learning techniques.Course 5: Algorithmic Portfolio Management- In this course, you will learn the basics of algorithmic portfolio management and technical trading strategies. You will be introduced to the concepts related to time-series modelling. Youll gain hands-on experience and working knowledge on topics related to security price forecasting and volatility prediction. You will be able to apply the selected ML algorithms to construct high-performance portfolios.