financial data analytics
Use the power of analytics to get the most out of your financial data
Financial Analytics explores how financial statement data and non-financial metrics can be linked to improve the performance of the company. The role of a Financial Analyst is driven by a combination of methods and techniques that make this role extremely important for the financial health of any organization. This special combination of knowledges ranges from a basic understanding of financial statement data and financial performance, to a deeper dive into financial modelling and forecasting.
Specialized business training
Financial Data Analytics
This course provides an introduction to financial data analytics for all business professionals, including those with no prior analytics or financial experience. In this program you will learn how to use spreadsheet models, modelling techniques, and common investment analysis application as part of a powerful toolkit to make informed financial decisions and investments.
What aspects will we cover?
The participants will learn how data analysts describe, predict, and inform business decisions in the specific areas of finance and operations. The content of the program has an eminently practical approach, using examples and exercises based on real business cases, which are developed through small work teams, with presentation of results and class discussions.
Here you will develop basic data literacy and an analytic mindset that will help you make better strategic analyses based on data.
This module provides a brief introduction to the fundamentals of finance, emphasizing key concepts and their application to a wide variety of real-world situations.
This module combines both financial and analytical concepts to import, pre-process, analyse and visualize financial data using spreadsheets.
Through a mini project we will put into practice everything learned in this course, emphasizing financial decisions and investments.
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Decision Making Process
Decision to make - What is the question?
A clear statement of objectives allows you to optimize the resources used in the analysis.
Identify data sources, quality, and availability.
Depending on the data and the complexity of the problem, the type of tool and methodology to be applied is established.
Decision models allow a clearer evaluation of the different alternatives derived from the data analysis, thus facilitating decision-making.