A Highly Interactive Training Course On

Data Analytics for Accounting and Finance Professionals

Data-Driven Insights for Strategic Decision-Making in Finance and Accounting

Data Analytics for Accounting and Finance Professionals
Course Schedule

CLASSROOM

09-13 Jun 2025
Dubai
$5,950
15-19 Sep 2025
London
$5,950
15-19 Dec 2025
Amsterdam
$5,950
Certificate
  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course

Training Overview

Training Overview

In today’s rapidly evolving financial environment, data analytics has become an indispensable tool for accounting and finance professionals. Organizations are increasingly harnessing data to drive better decision-making, optimize financial outcomes, and maintain regulatory compliance. Traditional accounting and financial practices are undergoing significant transformation through the application of advanced analytics, enabling professionals to identify trends, predict financial results, and manage risks more effectively.

This Data Analytics for Accounting and Finance Professionals training course is specifically designed to equip finance and accounting experts with the skills and knowledge needed to integrate data analytics into their daily operations. Participants will explore essential concepts in analytics, such as descriptive, diagnostic, predictive, and prescriptive analysis, while gaining hands-on experience with tools like Excel, Power BI, Python, and AI-powered financial analytics platforms. The course also covers key topics like data visualization, automation, and strategies for making data-driven decisions in finance.

Upon completion of the course, participants will have a solid foundation in financial data analytics, empowering them to enhance financial reporting, improve forecasting precision, detect fraud, and drive strategic growth within their organization.

What are the goals?

By the end of this training course, participants will be able to:

  • Understand the fundamentals of data analytics and its applications in finance and accounting
  • Apply descriptive, diagnostic, predictive, and prescriptive analytics for financial insights
  • Utilize data visualization tools such as Power BI and Excel to improve financial reporting
  • Conduct financial forecasting and risk analysis using data analytics techniques
  • Identify and prevent financial fraud through data-driven detection methods
  • Automate repetitive financial tasks using analytics and AI-driven tools
  • Implement data governance and compliance best practices in financial data management

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Accountants and financial analysts
  • Chief Financial Officers (CFOs) and finance managers
  • Internal and external auditors
  • Risk and compliance professionals
  • Business intelligence and data analysts in finance
  • Professionals involved in financial planning, forecasting, and budgeting
  • Anyone looking to enhance financial decision-making using data analytics

How will this Training Course be Presented?

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

The Course Content

Day One: Foundations of Data Analytics in Finance and Accounting
  • Introduction to financial data analytics
  • Key data analytics techniques: descriptive, diagnostic, predictive, and prescriptive
  • The role of big data, AI, and machine learning in finance
  • Financial data sources and data governance principles
  • Case studies: How leading organizations use financial analytics
Day Two: Data Collection, Processing, and Cleaning
  • Data collection methods for accounting and finance
  • Data quality and integrity: Ensuring accuracy and completeness
  • Handling missing data and outliers in financial datasets
  • Introduction to data preprocessing using Excel and Python
  • Hands-on session: Cleaning and preparing financial data
Day Three: Financial Data Visualization and Reporting
  • The importance of data visualization in finance
  • Introduction to Power BI, Excel, and Tableau for financial dashboards
  • Building interactive financial reports and dashboards
  • Storytelling with financial data: Presenting insights effectively
  • Hands-on session: Creating financial dashboards in Power BI
Day Four: Financial Forecasting and Risk Management Using Analytics
  • Introduction to predictive analytics in finance
  • Forecasting financial trends and cash flow projections
  • Risk assessment and management using analytics
  • Scenario analysis and Monte Carlo simulations
  • Case study: Applying predictive models in financial decision-making
Day Five: Advanced Analytics, Automation, and Fraud Detection
  • AI and automation in financial analytics
  • Using machine learning for financial fraud detection
  • Automating financial processes using analytics tools
  • Implementing data-driven strategies for financial decision-making
  • Final project: Applying financial analytics to real-world business scenarios

Providers and Associations

Anderson
Anderson
Aztech Training
Aztech Training