Fraud Analyst

SQL Course

The **SQL Course** covers basic to advanced concepts for Fraud Analysts in the BFSI industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, fraud data extraction, suspicious transaction analysis, customer risk profiling, AML reporting, anomaly detection, data validation, audit reporting, and large dataset management to retrieve, transform, and analyze financial data for fraud detection, risk assessment, compliance, and informed investigative decision-making.

Excel Course

The **Excel Course** covers basic to advanced concepts for Fraud Analysts in the BFSI industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, fraud trend analysis, transaction reconciliation, exception reporting, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, risk analysis, audit documentation, suspicious transaction tracking, compliance reporting, and interactive dashboards to identify anomalies, monitor fraud patterns, improve investigation efficiency, and support data-driven fraud prevention.

Case Management Tools Course

The **Case Management Tools Course** covers basic to advanced concepts for Fraud Analysts in the BFSI industry, including case creation, alert management, workflow management, investigation lifecycle, incident tracking, evidence collection, customer due diligence, Know Your Customer (KYC) verification, Anti-Money Laundering (AML) workflows, Suspicious Activity Report (SAR) management, sanctions screening, document management, escalation procedures, audit trails, collaboration tools, task assignment, compliance monitoring, reporting, regulatory documentation, and system integration to streamline fraud investigations, improve case resolution, and strengthen regulatory compliance.

Power BI/Tableau Course

The **Power BI/Tableau Course** covers basic to advanced business intelligence concepts for Fraud Analysts in the BFSI industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, fraud detection dashboards, suspicious transaction monitoring, customer risk analysis, AML reporting, anomaly detection, predictive analytics, DAX or calculated fields, drill-through reports, automated reporting, executive dashboards, compliance reporting, performance monitoring, forecasting visualization, and business intelligence techniques to transform financial and fraud data into actionable insights for proactive fraud prevention and strategic risk management.

Python Course

The **Python Course** covers basic to advanced concepts for Fraud Analysts in the BFSI industry, including Python fundamentals, variables, data types, control statements, functions, object-oriented programming, file handling, exception handling, NumPy, Pandas, Matplotlib, data preprocessing, statistical analysis, fraud detection models, anomaly detection, machine learning fundamentals, automation scripting, API integration, text processing, reporting automation, predictive analytics, data visualization, and model evaluation to analyze financial transactions, detect fraudulent activities, automate investigations, and support intelligent risk management and regulatory compliance.