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What You'll Learn

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

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Advanced Excel Formulas and Functions for Big Data - Course Cover Image
Duration 10 Days
Level Foundation
Format In-Person

Course Overview

Featured

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

Course Impact

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.

Course Objectives

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 Outline

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

Module 2: Data Cleaning and Preparation

  • Techniques for data cleaning and validation
  • Using text functions to manipulate data
  • Handling missing data and duplicates

Module 3: Advanced Formulas and Functions

  • Nested formulas and functions
  • Array formulas and their applications
  • Using lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH)

Module 4: Data Analysis with Pivot Tables

  • Creating and customizing pivot tables
  • Using calculated fields and items
  • Advanced pivot table techniques

Module 5: Advanced Charting and Data Visualization

  • Creating dynamic and interactive charts
  • Utilizing sparklines and conditional formatting for visualization
  • Best practices for data presentation

Module 6: Working with External Data Sources

  • Importing and exporting data
  • Connecting Excel with databases and other external sources
  • Data consolidation techniques

Module 7: Automation with Macros and VBA

  • Introduction to macros and VBA
  • Recording and editing macros
  • Writing basic VBA code for automation

Module 8: Statistical Analysis and Data Modeling

  • Performing statistical analysis using Excel
  • Creating and interpreting regression models
  • Scenario analysis and forecasting

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

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

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

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.
This course focuses on using modern Excel features like Power Query, dynamic arrays, and high-performance functions to efficiently process and analyze data volumes that are too large for traditional methods.
You'll master dynamic array functions (FILTER, SORT, UNIQUE), XLOOKUP, and advanced logical functions to perform powerful, scalable data analysis and reporting.
You'll learn to use Power Query to connect to various data sources, clean and reshape messy data, and automate your data preparation process, saving you significant time.
By automating repetitive tasks, creating flexible models with dynamic arrays, and processing large datasets faster with Power Query, you'll drastically improve your analysis workflow.
Training on Advanced Excel Formulas and Functions for Big Data

Next class starts 5 Jan 2026

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