Data Private

Analytics for Finance Professionals (FIN400)

5 days
Data

Develop practical skills in extracting, transforming, and analyzing financial data. Covers statistical modeling, risk analysis, and reporting in finance context

Request Private Class

Register or Request Training

  • Private class for your team
  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal turnaround within 1–2 business days
Request Proposal

Course Overview

Develop practical skills in extracting, transforming, and analyzing financial data. This course covers statistical modeling, risk analysis, and reporting for accounting, auditing, and finance contexts. Students will develop the computational skills to extract, transform, and load (ETL) financial data from diverse sources, apply statistical and machine learning techniques, and translate complex data into actionable insights.

Course Benefits

  • Identify opportunities to apply data analytics within financial and accounting workflows, from budgeting and forecasting to audit and compliance.
  • Extract, transform, and load (ETL) financial data from databases, spreadsheets, ERP systems, and external sources using SQL, Python, or R.
  • Apply statistical methods and machine learning techniques, including regression, classification, and time series forecasting, to analyze financial data and generate predictive insights.
  • Design and build interactive dashboards and automated reports in Power BI or Excel for both technical and non-technical audiences.
  • Interpret analytical outputs and translate them into recommendations that support financial management, risk mitigation, and compliance objectives.
  • Navigate data governance requirements and regulatory considerations specific to financial analytics environments.

Delivery Methods

Private Class
Delivered for your team at your site or online.

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this Data class:

Familiarity with financial concepts (financial statements, budgeting, or accounting basics). Some experience with Excel or SQL is helpful.

Have questions about this course?

We can help with curriculum details, delivery options, pricing, or anything else. Reach out and we’ll point you in the right direction.

Contact us
}