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Course Outline

Day 1 – Using Microsoft Copilot for Data Analysis and Commercial Operations

Module 1: Introduction to Microsoft Copilot

  • Understanding what Microsoft Copilot is and its operational principles

  • Capabilities and limitations of Copilot

  • Responsible AI usage and data considerations

  • Identifying repetitive tasks suitable for automation via Copilot

Module 2: Crafting Prompts for Optimal Results

  • Constructing effective prompts

  • Providing context to enhance output quality

  • Developing reusable prompt templates

  • Avoiding common pitfalls when interacting with Copilot

Module 3: Handling Information and Commercial Data

  • Summarising substantial volumes of information

  • Streamlining the organisation of information

  • Extracting key details from reports and documents

  • Accelerating the restructuring of information

Module 4: Microsoft Copilot for Excel and Commercial Analysis

  • Managing large exported datasets

  • Understanding and analysing extensive tables

  • Comparing spreadsheets and pinpointing discrepancies

  • Employing Copilot for formulas and calculations

  • Refining and reorganising datasets

  • Working with archive tables

  • Uncovering trends, anomalies, and commercial insights

Module 5: Reporting and Communication

  • Generating summaries from data

  • Preparing client-facing reports

  • Accelerating the creation of management reports

  • Deriving commercial insights from datasets

Day 2 – Practical Workshop Using Real Commercial Scenarios

Exercise 1: Working with Real Data Exports

Participants engage with:

  • sales exports

  • customer data

  • commercial spreadsheets

  • operational reports

Activities include:

  • cleaning datasets

  • reorganising information

  • reducing manual processing

Exercise 2: Data Comparison and Analysis

Exercises involve:

  • comparing customer performance

  • analysing different periods and datasets

  • identifying discrepancies between reports

  • detecting unusual values

Exercise 3: Building Faster Excel Workflows

Participants design workflows for:

  • Export → Cleanup → Analysis

  • Comparison → Reporting

  • Archive tables → Insights

Exercise 4: Developing Personal Productivity Workflows

Each participant constructs Copilot workflows based on:

  • repetitive tasks

  • reporting activities

  • spreadsheet-intensive processes

Final Workshop

  • Identify the most time-consuming activities

  • Map opportunities for adopting Copilot

  • Formulate personal implementation plans

Requirements

  • Basic proficiency in Excel

  • Experience with reports, spreadsheets, and commercial data

  • Familiarity with everyday commercial operations

  • Access to Microsoft Copilot during the training is advisable

 14 Hours

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Price per participant

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