Advanced Excel, AI Analytics and Strategic Sales Course

Name: Advanced Excel, AI Analytics and Strategic Sales Mastery
Availability: InStock

Transform commercial records into predictive sales models, dynamic dashboards, and strategic account plans using Excel and artificial intelligence.

Advanced Excel, AI Analytics and Strategic Sales Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Toronto, Barcelona, London, Langkawi, Rome, Abu Dhabi and more
Next session: 4 – 8 October 2026, Toronto
Average fee: 5,800 €

Home
Our Categories
Advanced Excel, AI Analytics and Strategic Sales Mastery

Download Brochure (PDF) Print PDF

Course Overview

The Advanced Excel, AI Analytics and Strategic Sales programme equips professionals with the analytical techniques required to turn commercial, customer, and financial spreadsheets into practical business decisions. Participants learn how to clean, structure, and model large datasets in Excel before connecting their calculations to artificial intelligence tools that uncover operational trends and support commercial planning. The curriculum addresses sales revenue, receivables ageing, client payment habits, and pipeline conversions to give commercial teams a complete perspective on operational performance. Instruction is delivered through practical data demonstrations and applied scenario modelling led by Agile Leaders Training Center.

Target Audience

Sales managers, supervisors, and commercial directors seeking quantitative control over revenue figures.
Key account managers and business development specialists managing complex client portfolios.
Financial analysts and accounts receivable supervisors monitoring billing cycles and credit risks.
Commercial operations analysts and business intelligence specialists building operational reports.
Revenue managers and planning professionals responsible for sales forecasting and management reporting.

Targeted Departments and Industries

This programme delivers cross-functional value to teams handling quantitative commercial records, financial reconciliations, and strategic client management across diverse sectors.

Commercial Operations and Sales Planning Divisions
Finance, Credit Control, and Accounts Receivable Teams
Business Intelligence and Revenue Operations Departments
Key Account Management and Business Development Units
Banking, Financial Services, and Insurance Institutions
Wholesale Distribution, Logistics, and Manufacturing Enterprises
Technology, Telecommunications, and Professional Services Providers

Course Objectives

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

Structure, cleanse, and validate commercial datasets using Excel data verification tools.
Apply advanced logical tests, dynamic reference lookups, and multi-condition formulas.
Conduct receivables and debt ageing analysis alongside invoice payment trend reviews.
Assemble interactive PivotTables, dynamic charts, and executive sales and receivables dashboards.
Formulate balanced key performance indicators covering sales volume, margins, and collection efficiency.
Deploy artificial intelligence prompts to evaluate operational datasets and surface underlying patterns.
Produce validated AI-assisted sales forecasting models while maintaining data confidentiality.
Formulate structured account planning frameworks based on quantitative account segmentation.

Course Agenda

Day 1: Advanced Excel for Commercial Data Preparation

Structuring business tables and enforcing structural consistency across worksheets
Cleansing raw transactional exports and handling missing or anomalous values
Applying dynamic array functions, nested logical expressions, and modern lookup formulas
Managing large data tables with automated filters, sorting indices, and conditional formatting
Auditing formula dependencies and eliminating data validation errors
Preparing clean commercial datasets for downstream analysis and reporting

Day 2: Sales, Revenue and Receivables Analysis

Evaluating sales performance across regional territories, product groups, and sales channels
Reconciling periodic performance targets against actual commercial achievements
Analyzing customer payment behaviours, outstanding balances, and collection cycles
Performing receivables and debt ageing analysis to identify working capital risks
Mapping invoice settlement timelines to isolate recurring payment bottlenecks
Synthesizing sales volumes, margins, and credit exposures into unified performance tables

Day 3: Interactive Dashboards and Management Reporting

Designing multi-source PivotTables for multidimensional commercial summaries
Building dynamic PivotCharts with slicers, timelines, and customized calculation fields
Designing commercial key performance indicators for executive management review
Structuring visual dashboard architectures for rapid operational decision-making
Automating periodic monthly and quarterly management update packages
Deploying executive sales and receivables dashboards for operational reviews

Day 4: AI-Powered Business and Sales Analytics

Integrating artificial intelligence workflows with spreadsheet-driven commercial analytics
Using natural language prompts to detect hidden anomalies and outliers in sales data
Accelerating account profiling and customer segment classification through generative tools
Generating AI-assisted sales forecasting models based on historical baseline trends
Automating narrative management summaries from complex analytical tables
Validating automated insights against source calculations to ensure factual accuracy

Day 5: Strategic Account Planning and Commercial Execution

Segmenting customer tiers by profitability, buying velocity, and account margin contribution
Evaluating pipeline conversion rates, funnel velocity, and opportunity stage leakage
Isolating growth opportunities and margin risks across established enterprise clients
Developing strategic account planning roadmaps backed by quantitative balance history
Translating analytical performance indicators into operational commercial action plans
Presenting data-supported strategic recommendations to executive leadership

Frequently Asked Questions

What qualifications or prerequisites are required?

Participants should have a foundational working knowledge of Microsoft Excel, including basic navigation, data entry, cell formatting, and fundamental mathematical formulas. Prior familiarity with commercial transactions, invoices, or customer accounts is useful, but no prior background in advanced spreadsheet modelling or artificial intelligence is required.

How long is the course?

The course runs across five consecutive days. Each day involves four to five hours of structured instructional modules, analytical exercises, and practical spreadsheet labs, totalling approximately 20 to 25 training hours.

Can AI-generated insights be used directly in management decisions?

Artificial intelligence outputs should not be used without verification against source data. All automated summaries and forecasts must be reviewed against verified spreadsheet figures and judged within the commercial context of the organization before being submitted to executive leadership.

Course Value and Distinctions

This programme delivers an end-to-end operational pathway that connects data hygiene, formula-driven modeling, visual KPI reporting, and strategic account planning. Rather than treating spreadsheets, machine intelligence, and commercial management as separate disciplines, the curriculum leads participants through a continuous workflow: from raw transaction data and debt ageing analysis to dashboard reporting, prompt-based pattern identification, and strategic execution.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Download Brochure (PDF) Print PDF

Showing 1-20 of 77 events

Location	Dates	Duration	Mode	Price
Toronto	Week 40, 2026 4 – 8 October 2026	5 Days	Onsite	€12,000
Barcelona	Week 41, 2026 5 – 9 October 2026	5 Days	Onsite	€5,700
London	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€5,700
Langkawi	Week 42, 2026 18 – 22 October 2026	5 Days	Onsite	€6,000
London	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€5,700
Rome	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€4,700
Tbilisi	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€5,000
Berlin	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€5,700
Dubai	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€4,500
Vienna	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Lisbon	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Amsterdam	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Barcelona	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€5,700
Zanzibar	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€5,500
Cairo	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€4,100
Trabzon	Week 51, 2026 20 – 24 December 2026	5 Days	Onsite	€6,800
Kuala Lumpur	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,200
London	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€5,700
Baku	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€5,000

Frequently asked questions

What does this course cover?

Course OverviewThe Advanced Excel, AI Analytics and Strategic Sales programme equips professionals with the analytical techniques required to turn commercial, customer, and financial spreadsheets into practical business decisions. Participants learn how to clean, structure, and model large datasets in Excel before connecting their calculations to artifici…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Advanced Excel, AI Analytics and Strategic Sales Course