About the Course
Modern organizations demand evidence-based results that can be validated through rigorous Excel data analysis. To remain relevant, you must demonstrate five core capabilities: the ability to automate data ingestion from external databases, the skill to model complex relationships between disparate tables, the proficiency to write advanced DAX (Data Analysis Expressions) formulas, the capacity to visualize multi-dimensional trends, and the discipline to maintain data governance. This course transforms scattered technical knowledge into a structured analytical system. You will learn to replace fragile, formula-heavy workbooks with robust Power Query connections that refresh at the click of a button. The curriculum distinguishes between conceptual exposure to advanced statistical functions and hands-on implementation of relational data models, ensuring you can actually build the systems you design.
This course teaches you to architect end-to-end analytical pipelines using the Excel Data Model so you can eliminate manual reporting errors and reduce processing time by up to 80%. You will gain hands-on experience in using the M language for custom data transformations, implementing XLOOKUP and dynamic arrays for flexible modeling, and utilizing the Analysis ToolPak for regression and forecasting. We acknowledge the real-world constraints you face, such as legacy data formats, limited IT support for specialized software, and the increasing demand for rapid-turnaround insights. Consequently, this program is designed for professionals who must deliver enterprise-grade analytics within the familiar, accessible framework of Excel, ensuring that your outputs are both sophisticated and shareable across the organization.
Target Audience
This program is tailored for experienced professionals who manage high volumes of data and require advanced automation and modeling capabilities to support executive-level reporting.
This course is designed for:
- Senior Financial Analysts responsible for multi-entity consolidation and variance analysis
- Supply Chain Data Coordinators managing complex inventory and logistics datasets
- Operations Managers overseeing departmental KPIs and resource allocation models
- Business Intelligence Specialists building bridge solutions between ERP systems and Excel
- Human Resources Analytics Leads tracking workforce performance and retention metrics
- Marketing Data Strategists analyzing multi-channel campaign ROI and customer attribution
- Project Management Office (PMO) Leads monitoring portfolio health and budget utilization
- Risk Compliance Officers auditing large-scale transactional data for regulatory alignment
- Sales Operations Analysts forecasting revenue trends and territory performance
- Data Governance Officers ensuring spreadsheet integrity and standardized reporting protocols
Course Objectives
This course equips you to design, execute, and report Excel Data Analysis initiatives that improve reporting accuracy, ensure data compliance, and support strategic business outcomes.
By the end of this course, you'll be able to:
- Assess data quality and integrity using the GIGO principle and automated profiling tools
- Apply Power Query to execute complex ETL processes from SQL, Web, and CSV sources
- Construct a relational Data Model in Power Pivot to manage multi-million row datasets
- Develop advanced analytical measures using DAX functions for time-intelligence and filtering
- Design dynamic executive dashboards using PivotCharts, Slicers, and Linked Data Types
- Execute predictive forecasting and trend analysis using the Excel Analysis ToolPak
- Implement automated reporting workflows using Power Automate for Excel integration
- Synthesize complex findings into structured management reports aligned with organizational KPIs
Requirements & Prerequisites
Participants should have a strong working knowledge of Excel, including proficiency with VLOOKUP/XLOOKUP, basic PivotTables, and nested IF statements. No prior experience with Power Query or DAX is required, though familiarity with basic data concepts is beneficial. A laptop with Excel 2019 or Microsoft 365 (Windows version) is required to access Power Pivot features.
Local Application and Business Return in your market
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn Excel Data Analysis aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on ETL exercise using Power Query to cleanse and transform a messy dataset
- Scenario simulation requiring the consolidation of disparate regional sales reports into one model
- Diagnostic audit of existing workbooks using the Inquire add-in to identify hidden risks
- Stakeholder reporting workshop focused on designing a dynamic CFO-level financial dashboard
- Case study analysis from the Finance, Retail, and Manufacturing sectors regarding data scalability
- Group workshop building a relational Data Model with multiple fact and dimension tables
- Reflection exercise benchmarking current reporting cycles against automated Power Pivot workflows
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Management, Manipulation & Analysis using Excel Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master Excel to elevate your data handling and boost workplace efficiency.
- Learn cutting-edge techniques for data analysis directly applicable to real-world business scenarios.
- Transform raw data into compelling insights with advanced Excel tools and functions.
Expert Delivery
- Courses led by industry experts with over 20 years of professional Excel experience.
- Benefit from personalized feedback on practical exercises from top data analysts.
- Engage in live Q&A sessions to resolve doubts and deepen your understanding instantly.
Career Advancement
- Enhance your resume with advanced Excel skills, increasing your marketability.
- Unlock new job opportunities in data analysis and management with certified Excel proficiency.
- Gain hands-on experience through project-based learning, setting you apart from the competition.
Tools and platforms relevant to this field
Examples local teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Microsoft Excel MicrosoftUsed for spreadsheet-based data cleaning, analysis, pivot reporting, and ad hoc dashboards in finance and operations workflows.
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Power Query MicrosoftUsed to import, clean, reshape, and combine data from multiple sources without repeated manual copy-paste steps.
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Power Pivot MicrosoftUsed to build relational data models and analysis layers that support larger datasets and more robust reporting.
