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NITA AccreditedFoundationPhysical + Virtual10 daysAEFBC

Training on Advanced Excel Formulas and Functions for Big Data

Master advanced Excel formulas and functions for big data. Learn to analyze large datasets, create complex models, and improve your data analysis skills.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Foundation

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This course is designed to equip participants with advanced Excel skills necessary for handling, analyzing, and visualizing large datasets. By delving into complex formulas, functions, and data manipulation techniques, participants will learn to leverage Excel's capabilities for big data analysis, enabling them to make data-driven decisions efficiently.

Course Duration

10 Days

Who Should Attend

  • Data analysts and data scientists
  • Business intelligence professionals
  • Financial analysts
  • Managers and decision-makers who handle large datasets
  • Professionals in any field looking to enhance their Excel skills for big data applications
Learning outcomes

What you'll walk away with

By the end of this course, participants will:

  • Understand and apply advanced Excel formulas and functions for big data analysis.
  • Efficiently manipulate and clean large datasets using Excel.
  • Perform complex data analysis using pivot tables, advanced charts, and conditional formatting.
  • Integrate Excel with other tools and software for enhanced data analysis capabilities.
  • Develop skills to automate repetitive tasks using macros and VBA.
  • Learn best practices for data visualization and presentation.
Course modules

What we cover, module by module

Module 1: Introduction to Big Data and Advanced Excel Functions

  • Overview of big data concepts
  • Introduction to advanced Excel functions
  • Understanding data types and structures in Excel
  • Case Study: Managing large sales datasets using Excel tools

Module 2: Data Cleaning and Preparation

  • Techniques for data cleaning and validation
  • Using text functions to manipulate data
  • Handling missing data and duplicates
  • Case Study: Cleaning customer databases to improve reporting accuracy

Module 3: Advanced Formulas and Functions

  • Nested formulas and functions
  • Array formulas and their applications
  • Using lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
  • Case Study: Automating financial reconciliations with advanced formulas

Module 4: Data Analysis with Pivot Tables

  • Creating and customizing pivot tables
  • Using calculated fields and items
  • Advanced pivot table techniques
  • Case Study: Regional sales performance analysis using PivotTables

Module 5: Advanced Charting and Data Visualization

  • Creating dynamic and interactive charts
  • Utilizing sparklines and conditional formatting for visualization
  • Best practices for data presentation
  • Case Study: Executive dashboard redesign for faster decision-making

Module 6: Working with External Data Sources

  • Importing and exporting data
  • Connecting Excel with databases and other external sources
  • Data consolidation techniques
  • Case Study: Combining branch data from multiple systems into one report

Module 7: Automation with Macros and VBA

  • Introduction to macros and VBA
  • Recording and editing macros
  • Writing basic VBA code for automation
  • Case Study: Automating monthly management reports to save time

Module 8: Statistical Analysis and Data Modeling

  • Performing statistical analysis using Excel
  • Creating and interpreting regression models
  • Scenario analysis and forecasting
  • Case Study: Forecasting inventory demand using regression analysis

Module 9: Excel Integration with Other Tools

  • Integrating Excel with Power BI for advanced analytics
  • Using Excel with Python/R for enhanced data processing
  • Collaboration and data sharing using Excel Online
  • Case Study: Integrating Excel and Power BI for executive reporting

Module 10: Best Practices and Case Studies

  • Review of best practices for big data analysis in Excel
  • Hands-on case studies and real-world examples
  • Q&A and wrap-up session
  • Case Study: End-to-end analytics project from raw data to insights
Impact

Where the change lands

Organizational Impact

  • Enhance decision-making agility and accuracy through in-depth analysis of large datasets.

  • Increase operational efficiency by automating data processes and reducing manual reporting.

  • Foster a data-driven culture to uncover trends, improve profitability, and reduce costs.

  • Standardize advanced Excel techniques to ensure consistent, reliable business intelligence.

Personal Impact

  • Gain in-demand skills essential for modern business careers.

  • Advance toward senior leadership, business intelligence, or strategic planning roles.

  • Contribute to organizational success with data-driven insights and recommendations.

  • Build confidence and authority to lead data-driven initiatives and become a vital team asset.

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

The goal is to equip you with advanced Excel skills to efficiently handle, analyze, and report on big data, using powerful formulas and functions designed for large datasets.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on Advanced Excel Formulas and Functions for Big Data in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.