Artificial intelligence (AI)and advanced analytics change the way financial institutions interact with their customers and run their organizations. These institutions know that advanced analytics has the potential to inform business strategy and improve operational performance. The ability to structure, manipulate, interpret, and extract insights from data is central to an organization’s survival. Data Analytics methods can be used to automate and optimize financial decisions, according to methods that are already used in the area. However, it is also possible, when using advanced analytics techniques, to incorporate machine learning and AI algorithms to develop predictions in an innovative and yet unexplored way in the market: this is what will generate a great competitive advantage for companies in the financial market.

Hence there is a growing demand for professionals specializing in data analytics in the field of financial services. The role of a data analyst is dynamic, complex, and driven by various skills. These skills range from a basic understanding of financial statement data and non-financial metrics linked to financial performance to a deeper dive into business and financial modelling.

This handbook introduces an overview of financial data analytics. You will learn why, when, and how to apply financial data analytics in real-world situations. You will explore techniques to analyse your business-derived data and evaluate the risk-reward trade-off expounded in modern theories. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leveraged in other domains. This multifaceted specialization will equip people interested in entering the dynamic world of data and business analysis and gaining more profound technical knowledge in Finance and Quantitative Modelling.

This handbook equips you with data analysis skills in short supply and can be utilized in algorithmic trading, machine learning, and AI applications. You will develop core finance, investments, and data analytics skills as you study. You will also be taught how to analyse data and get a thorough understanding of core financial theory and investment practices.