Financial analytics provides scientific support to decision-making concerning a firm’s money related matters. This course addresses the topic of Financial analytics with a practical focus, focusing especially on demystifying analytics for finance managers, from both statistical and computing point of view.
We’ll cover tools and tips to make you more efficient in excel tactics. We’ll cover problem-solving basics We’ll cover the basics of data sourcing, management, cleaning and processing. You’ll learn how to analyze and interrogate large datasets with ease, as well as how to name and reference those datasets throughout your model. You’ll learn about ways to aggregate and synthesize your data, both through formulas and pivot tables. We’ll start building your actual model, based on the issue tree, analysis plan and actual data-centered analytics required as inputs. We’ll cover approaches to handling uncertainty with scenarios and sensitivities. Finally, we’ll cover how to pull it all together to create beautiful, robust and meaningful visual output that gives you robust and consistent outputs in the face of ever-changing business and leadership requirements.