CPD Units: 10
Content
This is a course designed for finance and accounting professionals to enhance their skills in data analytics. The programme covers financial statement analysis, audit trail analysis, and the application of key statistical techniques. Participants will learn the fundamentals of descriptive, diagnostic, predictive, and prescriptive analytics through real-world case studies, interactive workshops, and expert insights.
The course aims to equip attendees with the ability to interpret financial data, identify trends, and make informed decisions. The course starts with an overview of data analytics in financial reporting, followed by the basics of statistics, including mean, median, mode, variance, and standard deviation. It then covers linear regression analysis, teaching how to model relationships and forecast outcomes.
The final part involves a comprehensive case study that ties together all the concepts, demonstrating their practical application in business decisions, such as setting CEO remuneration. Participants will use software tools for data analysis, create visualisations, and apply analytical techniques, gaining the knowledge to drive financial initiatives in their organisations.
Learning Outcomes
Understand the Role of Data Analytics - Gain a comprehensive understanding of the significance of data analytics in financial reporting and its impact on business decision-making.
Master Statistical Techniques - Learn the fundamental statistical methods, including mean, median, mode, variance, and standard deviation, essential for analysing financial data.
Apply Linear Regression Analysis - Develop the skills to model relationships between financial variables using linear regression and utilise these models for accurate forecasting.
Conduct Descriptive Analysis - Acquire the ability to summarise financial data and identify key trends and patterns through descriptive analysis.
Perform Diagnostic Analysis - Understand the underlying reasons behind financial outcomes by applying diagnostic analysis techniques to financial data.
Implement Predictive Analytics - Use historical data to predict future financial performance, enabling informed decision-making and strategic planning.
Engage in Prescriptive Analysis - Formulate recommendations and action plans based on prescriptive analysis to optimise financial strategies and outcomes.
Utilise Data Visualisation Tools - Gain proficiency in using data visualisation tools to create clear and effective financial reports and dashboards.
Interpret Complex Financial Data - Enhance the ability to interpret and draw meaningful conclusions from complex financial datasets.
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