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Applied Excel for AML & Financial Intelligence
Rating: 4.4 out of 5(10 ratings)
87 students

Applied Excel for AML & Financial Intelligence

Learn to apply Excel tools for AML analysis, transaction monitoring, and financial intelligence insights.
Created byNasiru Musa
Last updated 1/2026
English

What you'll learn

  • Transform and clean complex datasets efficiently using Excel and Power Query.
  • Analyze financial, risk, and operational data using PivotTables, charts, and advanced formulas.
  • Apply AI tools in Excel to automate tasks, detect anomalies, and accelerate analysis.
  • Detect patterns, trends, and insights in data to support decision-making and reporting.
  • Perform practical risk assessment and compliance analysis using Excel-based techniques.
  • Apply Excel skills to real-world scenarios across financial intelligence, risk, compliance, and other intelligence roles.

Course content

5 sections26 lectures1h 31m total length
  • Course Overview2:18

Requirements

  • No prior Excel experience required — you’ll learn everything from the basics to advanced applications.
  • Access to Microsoft Excel 2016 or later (Office 365 recommended for AI features).
  • Interest or experience in financial investigation, compliance, risk management, data analysis or intelligence work.
  • Willingness to practice with sample datasets and apply what you learn to real-world scenarios.

Description

Data drives decisions in today’s financial, risk, and intelligence sectors—but raw data is only as powerful as your ability to analyze and apply it. Applied Excel for AML & Financial Intelligence is a hands-on course designed for professionals across finance, risk management, compliance, and intelligence who want to turn data into actionable insights.

In this course, you will learn how to clean, transform, and analyze complex datasets using Excel’s most powerful tools, including Power Query, PivotTables, advanced formulas, and AI-assisted features. You will apply these tools to a variety of real-world scenarios—from AML monitoring and risk assessment to financial intelligence analysis and operational decision-making—so that the skills you gain can be applied across multiple industries.

Through practical exercises and step-by-step examples, you’ll gain confidence in uncovering patterns, identifying trends, and producing insightful reports that support strategic decisions. You’ll also explore how AI features in Excel can automate repetitive tasks, highlight anomalies, and accelerate your workflow, giving you a competitive edge in data-driven roles.

By the end of this course, you’ll be able to turn raw data into intelligence, support risk and compliance initiatives, and make informed decisions with confidence. Whether you work in financial intelligence analysis, compliance, risk, intelligence, or any similar data-driven role, this course equips you with practical Excel skills that can be applied immediately to solve real-world problems.

Who this course is for:

  • AML and compliance professionals who want to use Excel to analyze transactions, risks, and patterns more effectively.
  • Financial analysts and auditors seeking to improve their ability to uncover insights and automate data analysis tasks.
  • Risk and control professionals who need practical Excel tools for assessing and visualizing risk data.
  • Financial intelligence and investigative analysts who want to extract meaning and trends from large, unstructured datasets.
  • Business and operations professionals looking to enhance data-driven decision-making using Excel’s advanced and AI-powered features.
  • Students and entry-level professionals aiming to build strong, practical Excel skills applicable across finance, compliance, and analytics roles.
  • Financial Analysts and Data Professionals in Banking, FinTech, or Regulatory Agencies
  • Anyone interested in leveraging Excel for financial crime or intelligence analysis