AI AND ANALYTICS IN BUSINESS VALUATION

An Online Certificate Course by ICMAI Registered Valuers Organisation (RVOICMAI) Recognised under IBBI | Promoted by The Institute of Cost Accountants of India

07th Advance AI and Analytics In Business Valuation

07thOnline Batch of Advance AI and Analytics In Business Valuation starting from11th Oct 2025 From 10.00 am to 12.30 pm (Sat-Sun)
Starts From:	Sat 11 October 2025
Ends on:	Sun 26 October 2025
Location:	Online

14th Batch of AI and Analytics of Business Valuation

14th Batch of AI and Analytics of Business Valuation 25th-26th Oct & 01st-02nd-08th-09th Nov 2025 From 10.00 am to 12.30 pm CPE/CEP: 15 hrs. for RVs/ 5 hrs. for IPs / 10 Hrs. for CMA Members
Starts From:	Sat 25 October 2025
Ends on:	Sun 26 October 2025
Location:	Online

Course Overview

This online certificate course explores how Artificial Intelligence (AI) and advanced analytics are transforming business valuation practices. Participants will learn how to integrate predictive modelling, data mining, machine learning, and real-time analytics into valuation workflows—enabling more accurate forecasts, better risk assessment, and enhanced decision support.

The course is structured for finance professionals, valuation practitioners, data scientists, insolvency professionals, and anyone interested in applying analytics and AI tools to valuation in practice.

Other Valuation Course

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AI & Analytics In Business Valuation

What You Will Learn

Understand the role of data analytics and AI in modern valuation processes.
Identify relevant data sources—including structured and unstructured data—to support valuation models.
Apply predictive analytics and machine learning techniques to forecast financial metrics and growth drivers.
Use AI-driven tools for scenario analysis, sensitivity testing, anomaly detection, and real-time monitoring
Integrate analytics outputs into traditional valuation approaches (income, market, cost) for more robust insights.
Recognise and mitigate valuation risk using analytics-based risk indicators and data‐driven environmental scanning.
Prepare data-driven valuation reports with clear analytics-based assumptions, model outputs, and dashboards.
Appreciate ethical, privacy, and bias-mitigation issues in using AI models for valuation.

Who Should Attend

Registered Valuers and valuation professionals who want to upgrade their toolkit with AI and analytics.
Insolvency professionals, financial analysts, and consultants.
Data scientists and analysts seeking to apply their skills to business valuation.
Finance professionals, M&A teams, and valuation modelers aiming to incorporate data-driven forecasting and risk analytics.
Anyone interested in bridging the gap between traditional valuation methods and modern analytics/AI tools.

Course Fees, Certification & Benefits

Participants receive a Certificate of Completion from RVOICMAI.
Opportunity to earn Continuing Education Credits (CEP/CPE) depending on professional affiliation.
Access to analytics templates, machine learning model examples, and demo dashboards.
Hands-on exposure to data-driven valuation modelling.
Practical case studies illustrating real-life applications of AI and analytics in valuation.

Frequently Asked Questions (FAQs)

Q.1 Will the live sessions be recorded and available later?

A. Yes, recording facilities will be provided. Registered participants will have access to session recordings for a limited period after course completion.

Q.2 Will there be hands-on assignments or analytics case studies?

A. Absolutely. Participants will receive practical assignments—including data preprocessing and predictive modelling exercises—with trainer feedback and discussion.

Q.3 Do I need to be a data scientist or coder to attend?

A. Not necessarily. Basic familiarity with data handling (e.g. working with Excel, CSV data, or Google Sheets) is helpful, and prior exposure to statistical concepts is beneficial. Advanced programming skills (like Python/R) are a plus but not mandatory. The course will include demonstrations and templates that can be used with minimal coding.

Q.4 What technology/tools will we use in the course?

A. We’ll use a mix of tools and techniques. Participants will see examples in Excel, Python or R, and AI-enabled analytics dashboards (BI tools, automated feature engineers, etc.). But the course is structured to be tool-agnostic, with a focus on underlying techniques and business-driven analytics design.

Q.5 Is this course suitable for valuation professionals unfamiliar with AI?

A. Yes. The course is designed to ease valuation professionals into AI/analytics by starting with practical data-integration workflows, intuitive modelling methods, and building up to more advanced uses. You’ll learn how to apply analytics strategically—rather than coding from scratch.