Excel Data Management and Analysis Course

Name: Excel Data Management and Reproducible Analysis Training Course
Availability: InStock

Build controlled, refreshable Excel workflows for cleaning, validating, transforming, reconciling, and summarizing business data.

Excel Data Management and Analysis Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Accra, Prague, Frankfurt, Paris, San Diego, Abu Dhabi and more
Next session: 18 – 22 October 2026, Accra
Average fee: 5,800 €

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Excel Data Management and Reproducible Analysis Training Course

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Overview

Excel Data Management and Reproducible Analysis Training Course is a five-day foundation course for analysts, coordinators, administrators, and operational professionals who leave with a Refreshable Excel Analysis Workbook. Participants apply Excel data management, data cleaning, data validation, Power Query transformations, formula controls, reconciliation, and PivotTable analysis to structured business data. The course turns fragile manual files into traceable preparation and refresh routines. Agile Leaders Training Center develops practical Excel data management and analysis capability.

Who Should Attend

Analysis functions responsible for preparing source data and producing recurring summaries
Administrative functions responsible for maintaining operational lists, registers, and trackers
Coordination functions responsible for consolidating files and checking submitted data
Operations functions responsible for monitoring transactions, service records, or performance data
Reporting functions responsible for refreshable tables, reconciliations, and management views

The course assumes participants can enter data and use basic worksheets, and leaves out macros, advanced financial modeling, database administration, data science, and Power BI development.

Departments and Industries

The course supports departments and industries that manage recurring structured data and need reliable analysis.

Finance, administration, procurement, human resources, and reporting departments
Manufacturing, logistics, retail, hospitality, and customer-service operations
Healthcare, education, research, and professional services
Engineering, construction, energy, and facilities operations

Learning Objectives

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

Apply table structures, field definitions, and naming controls
Use validation rules and quality checks for consistent entries
Build formulas for cleaning, matching, classification, and exception detection
Analyze and transform source data with Power Query
Evaluate reconciliations, refresh results, and PivotTable summaries
Build a Refreshable Excel Analysis Workbook with control evidence

Course Agenda

Day 1: Structure Managed Excel Data

Source and Field Inventory Worksheet
Excel Table Structure and Header Standard
Data-Type and Format Control Guide
Field Definition and Naming Dictionary
Workbook Layout and Version Register

Day 2: Clean and Validate Entries

Missing-Value and Completeness Check
Duplicate Detection and Resolution Log
Text, Date, and Number Cleaning Formula Set
Data Validation Rule and Input-Message Design
Data Quality Exception Register

Day 3: Manipulate and Reconcile Data

Lookup and Matching Formula Pattern
Conditional Classification and Flagging Logic
Multi-Sheet Consolidation Control
Source-to-Output Reconciliation Worksheet
Formula Error and Dependency Review Checklist

Day 4: Transform and Analyze Data

Power Query Source Connection Map
Power Query Applied-Steps Transformation Log
Merge, Append, Pivot, and Unpivot Method
Refresh and Schema-Change Check
PivotTable Summary and Filter Design

Day 5: Practice Reproducible Excel Analysis

Exercise: Structure and Validate a Source Table
Exercise: Clean, Match, and Reconcile Business Records
Exercise: Build and Refresh a Power Query Flow
Exercise: Evaluate PivotTable Results and Exceptions
Capstone: Refreshable Excel Analysis Workbook

Practical Exercises

The course uses suggested activities based on finance, logistics, healthcare, and service-operation datasets.

Suggested activity: restructure an inconsistent source file into a controlled Excel table with field definitions and validation rules.
Suggested activity: detect missing, duplicate, mismatched, and incorrectly formatted records and document the corrections.
Suggested activity: combine recurring files through Power Query, reconcile row and value totals, and test refresh behavior.
Suggested activity: create PivotTable summaries, trace exceptions, and package the workbook for repeatable use.

FAQs

Who suits Excel data management training, and what does it assume?

Analysts, administrators, coordinators, reporting functions, and operational teams suit the training; it assumes participants can enter data, navigate worksheets, and use basic formulas.

How does Excel data management differ from advanced Excel training?

Excel data management centers on structured data, quality controls, repeatable transformations, reconciliation, and refresh evidence, while advanced Excel training usually covers a wider range of functions, automation, and modeling features.

How does data validation improve Excel data quality?

Data validation restricts permitted entries, guides users with input messages, identifies invalid values, and supports consistent field rules before records enter later calculations and summaries.

Why use Power Query transformations for recurring Excel files?

Power Query transformations record repeatable connection and preparation steps, allowing the same logic to be refreshed when source files change while retaining a visible sequence of applied actions.

What makes Excel analysis reproducible?

Reproducible Excel analysis uses documented sources, stable table structures, controlled formulas, saved transformation steps, reconciled totals, refresh checks, exception records, and defined outputs that another authorized user can repeat.

Conclusion

Participants take back a Refreshable Excel Analysis Workbook containing data definitions, table controls, validation, cleaning formulas, Power Query steps, reconciliation, exceptions, and PivotTable summaries. It changes one-off spreadsheet handling into a repeatable analysis routine. The workbook connects source data, transformations, checks, outputs, and refresh evidence.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Bali	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€5,700
Rome	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€5,700
Cairo	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€4,100
Madrid	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Jakarta	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Seoul	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€10,000
Barcelona	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,700
Porto	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,700
Dubai	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€4,500
Berlin	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,200
New York	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€12,000
Tashkent	Week 41, 2027 17 – 21 October 2027	5 Days	Onsite	€4,500
Istanbul	Week 42, 2027 18 – 22 October 2027	5 Days	Onsite	€4,500

Frequently asked questions

What does this course cover?

OverviewExcel Data Management and Reproducible Analysis Training Course is a five-day foundation course for analysts, coordinators, administrators, and operational professionals who leave with a Refreshable Excel Analysis Workbook. Participants apply Excel data management, data cleaning, data validation, Power Query transformations, formula controls, reco…

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.

Excel Data Management and Analysis Course