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Training on Business Analytics with Excel

Learn business analytics with Excel. Analyze data, build models, and create insights using visualization, statistics, and predictive techniques.
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Last updated Apr 2026
English
Level: Intermediate Format: In-Person & Online Duration: 5 Days Certification
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Training on Business Analytics with Excel - Course Cover Image
Next scheduled session
8 Jun 2026 - 12 Jun 2026
Mombasa, Kenya
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Course Overview

UPDATED 1 month ago

To begin with, organizations today generate large volumes of data from daily operations, customer interactions, and financial transactions. However, without the right tools and skills, this data often remains underutilized, limiting its potential to drive informed decision-making.

In this regard, Microsoft Excel remains one of the most powerful and accessible tools for business analytics. Its flexibility, combined with advanced analytical capabilities, makes it an essential platform for professionals seeking to transform raw data into meaningful insights.

This course, therefore, is designed to provide participants with a comprehensive understanding of business analytics using Excel. Over five intensive days, learners will gain practical, hands-on experience in analyzing data, building advanced models, and generating actionable insights that support strategic and operational decisions.

Moreover, participants will explore key analytical techniques such as data cleaning, transformation, and structuring to ensure accuracy and reliability. These foundational skills are critical for producing trustworthy analysis and avoiding costly errors.

In addition, the course introduces powerful Excel features including PivotTables, advanced formulas, dashboards, and data visualization tools. These features enable users to summarize complex datasets, identify trends, and communicate findings effectively.

Equally important, participants will learn statistical analysis techniques that help uncover relationships within data. This includes descriptive statistics, trend analysis, and basic inferential methods that support evidence-based decision-making.

Furthermore, the training covers predictive modeling techniques using Excel. Participants will learn how to forecast trends, perform scenario analysis, and build models that anticipate future outcomes, helping organizations plan proactively rather than reactively.

As a result, learners will be equipped with practical skills to improve reporting, optimize performance, and support data-driven strategies across various business functions.

Duration

 5 Days

Who Should Attend

• Business analysts and data analysts
• Finance and accounting professionals
• Marketing and sales professionals
• Operations and supply chain managers
• Project managers and administrators
• Entrepreneurs and business owners
• Anyone seeking to improve data analysis skills using Excel

Course Impact

Organizational Impact

  • Enhance decision-making by converting raw data into actionable insights and reports.

  • Boost operational efficiency through automated data processes and reduced manual reporting.

  • Foster a data-driven culture to uncover trends, increase profitability, and strengthen competitive position.

Personal Impact

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

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

  • Contribute to organizational success with data-driven recommendations.

  • Gain confidence to lead and champion data-driven initiatives.

Course Objectives

By the end of this course, participants will:

  • Understand the basics of epidemiological data analysis.
  • Navigate and use Stata software efficiently.
  • Manage and manipulate epidemiological data in Stata.
  • Perform descriptive and inferential statistical analyses.
  • Conduct regression analysis and interpret the results.
  • Apply epidemiological methods to real-world data.
  • Present and visualize epidemiological findings effectively.

Course Outline

Module 1: Introduction to Business Analytics and Excel

  • Overview of business analytics
  • Introduction to Excel for analytics
  • Basic data handling and management
  • Using Excel functions for data analysis

Module 2: Data Analysis and Visualization

  • Advanced data manipulation techniques
  • Creating and formatting charts and graphs
  • Using pivot tables for data summarization
  • Introduction to Excel’s data visualization tools

Module 3: Statistical Analysis with Excel

  • Descriptive statistics and data distributions
  • Hypothesis testing and confidence intervals
  • Correlation and regression analysis
  • Using Excel’s Analysis ToolPak for statistical analysis

Module 4: Predictive Modeling

  • Introduction to predictive modeling concepts
  • Building and evaluating linear regression models
  • Time series analysis and forecasting
  • Using Excel for scenario and sensitivity analysis

Module 5: Advanced Excel Tools and Real-World Applications

  • Introduction to Power Query and Power Pivot
  • Automating analysis with macros and VBA
  • Case studies and real-world applications
  • Best practices for business analytics with Excel

Prerequisites

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

Course Administration and Investment

Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.

1. Training Fees & Inclusions

Our fees are all inclusive during course hours.

  • Covered: High level tuition, comprehensive materials (digital + physical), mid morning and afternoon refreshments, a full executive lunch, and any scheduled study visits or site tours.
  • Not covered: Travel, visa fees, medical/travel insurance, personal expenses, and accommodation.
2. Enrolment and Onboarding

From registration to the classroom, we keep things clear and efficient.

  • Registration: Find your preferred schedule, click “Register,” complete the form, and submit. Need help? Talk to us directly.
  • Pre Course Assessment: After registering, you’ll receive a diagnostic survey to help facilitators tailor content to your needs.
  • Joining Instructions: Once fees are paid, you’ll receive a Delegate Welcome Pack at least 7 days before the start date (venue maps, virtual access links, and pre reading materials).
3. Logistics and Learning Environment

We provide premium environments optimized for adult learning and networking.

  • Physical Venues: Premium 4 star and 5 star executive boardrooms across our global host cities, with high tier catering.
  • Virtual Instructor Led Training (VILT): High definition, interactive platforms featuring breakout rooms, digital whiteboards, and live technical support.
  • NITA and Regulatory Compliance: Administrative processes align with national training authorities.
4. Materials & Technical Support

You’ll leave with tools that extend the course value far beyond the final day.

  • ForElite Learner Kit: A physical or digital course manual, proprietary templates, and a curated toolkit of industry standard SOPs.
  • On Site / In App Support: Dedicated course coordinators handle technical, dietary, or logistical inquiries in real time.
5. Certification & Assessment

We validate your commitment to excellence with internationally recognized credentials.

  • Attendance Tracking: Rigorous daily logging to meet corporate and regulatory accreditation requirements.
  • Verifiable Credentials: Upon successful completion, you receive a certificate of course completion.
6. Post Course Continuity

Our relationship with you doesn’t end when the course closes.

  • Feedback & ROI Reporting: Detailed post course evaluations to give sponsors clear insight into training impact.
  • Alumni Network Access: Every delegate joins the ForElite Alumni Network for ongoing peer to peer learning and exclusive webinars.

When is the next intake?

Updated
June 2026
8 Jun - 12 Jun 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
Enroll Now
8 Jun - 12 Jun 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
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8 Jun - 12 Jun 2026
Pretoria, South Africa
5 days
USD 2,899
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8 Jun - 12 Jun 2026
Abuja, Nigeria
5 days
USD 3,799
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15 Jun - 19 Jun 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
Enroll Now
15 Jun - 19 Jun 2026
Arusha, Tanzania
5 days
USD 1,999
Enroll Now
15 Jun - 19 Jun 2026
Cape Town, South Africa
5 days
USD 3,299
Enroll Now
22 Jun - 26 Jun 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
22 Jun - 26 Jun 2026
Zanzibar, Tanzania
5 days
USD 2,199
Enroll Now
22 Jun - 26 Jun 2026
Kigali, Rwanda
5 days
USD 1,799
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29 Jun - 3 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
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29 Jun - 3 Jul 2026
Accra, Ghana
5 days
USD 5,999
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29 Jun - 3 Jul 2026
Dakar, Senegal
5 days
USD 3,999
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July 2026
6 Jul - 10 Jul 2026
Nairobi, Kenya
5 days
KES 99,999
USD 1,399
Enroll Now
6 Jul - 10 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
Enroll Now
6 Jul - 10 Jul 2026
Zanzibar, Tanzania
5 days
USD 2,199
Enroll Now
6 Jul - 10 Jul 2026
Cape Town, South Africa
5 days
USD 3,299
Enroll Now
6 Jul - 10 Jul 2026
Abuja, Nigeria
5 days
USD 3,799
Enroll Now
13 Jul - 17 Jul 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
Enroll Now
13 Jul - 17 Jul 2026
Kampala, Uganda
5 days
USD 1,999
Enroll Now
13 Jul - 17 Jul 2026
Accra, Ghana
5 days
USD 5,999
Enroll Now
13 Jul - 17 Jul 2026
Kigali, Rwanda
5 days
USD 1,799
Enroll Now
20 Jul - 24 Jul 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
Enroll Now
20 Jul - 24 Jul 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
Enroll Now
20 Jul - 24 Jul 2026
Johannesburg, South Africa
5 days
USD 2,899
Enroll Now
20 Jul - 24 Jul 2026
Dakar, Senegal
5 days
USD 3,999
Enroll Now
27 Jul - 31 Jul 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
27 Jul - 31 Jul 2026
Arusha, Tanzania
5 days
USD 1,999
Enroll Now
27 Jul - 31 Jul 2026
Pretoria, South Africa
5 days
USD 2,899
Enroll Now
27 Jul - 31 Jul 2026
Cairo, Egypt
5 days
USD 4,499
Enroll Now
August 2026
3 Aug - 7 Aug 2026
Nairobi, Kenya
5 days
Enroll Now
3 Aug - 7 Aug 2026
Kampala, Uganda
5 days
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3 Aug - 7 Aug 2026
Johannesburg, South Africa
5 days
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3 Aug - 7 Aug 2026
Cairo, Egypt
5 days
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10 Aug - 14 Aug 2026
Mombasa, Kenya
5 days
Enroll Now
10 Aug - 14 Aug 2026
Dar es Salaam, Tanzania
5 days
Enroll Now
10 Aug - 14 Aug 2026
Pretoria, South Africa
5 days
Enroll Now
10 Aug - 14 Aug 2026
Abuja, Nigeria
5 days
Enroll Now
17 Aug - 21 Aug 2026
Nakuru, Kenya
5 days
Enroll Now
17 Aug - 21 Aug 2026
Arusha, Tanzania
5 days
Enroll Now
17 Aug - 21 Aug 2026
Cape Town, South Africa
5 days
Enroll Now
24 Aug - 28 Aug 2026
Kisumu, Kenya
5 days
Enroll Now
24 Aug - 28 Aug 2026
Zanzibar, Tanzania
5 days
Enroll Now
24 Aug - 28 Aug 2026
Kigali, Rwanda
5 days
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31 Aug - 4 Sep 2026
Dubai, United Arabs Emirates
5 days
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31 Aug - 4 Sep 2026
Accra, Ghana
5 days
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31 Aug - 4 Sep 2026
Dakar, Senegal
5 days
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September 2026
7 Sep - 11 Sep 2026
Nairobi, Kenya
5 days
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7 Sep - 11 Sep 2026
Dubai, United Arabs Emirates
5 days
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7 Sep - 11 Sep 2026
Zanzibar, Tanzania
5 days
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7 Sep - 11 Sep 2026
Cape Town, South Africa
5 days
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7 Sep - 11 Sep 2026
Abuja, Nigeria
5 days
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14 Sep - 18 Sep 2026
Mombasa, Kenya
5 days
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14 Sep - 18 Sep 2026
Kampala, Uganda
5 days
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14 Sep - 18 Sep 2026
Accra, Ghana
5 days
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14 Sep - 18 Sep 2026
Kigali, Rwanda
5 days
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21 Sep - 25 Sep 2026
Nakuru, Kenya
5 days
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21 Sep - 25 Sep 2026
Dar es Salaam, Tanzania
5 days
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21 Sep - 25 Sep 2026
Johannesburg, South Africa
5 days
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21 Sep - 25 Sep 2026
Dakar, Senegal
5 days
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28 Sep - 2 Oct 2026
Kisumu, Kenya
5 days
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28 Sep - 2 Oct 2026
Arusha, Tanzania
5 days
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28 Sep - 2 Oct 2026
Pretoria, South Africa
5 days
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28 Sep - 2 Oct 2026
Cairo, Egypt
5 days
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October 2026
5 Oct - 9 Oct 2026
Nairobi, Kenya
5 days
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5 Oct - 9 Oct 2026
Dubai, United Arabs Emirates
5 days
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5 Oct - 9 Oct 2026
Zanzibar, Tanzania
5 days
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5 Oct - 9 Oct 2026
Cape Town, South Africa
5 days
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5 Oct - 9 Oct 2026
Abuja, Nigeria
5 days
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12 Oct - 16 Oct 2026
Mombasa, Kenya
5 days
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12 Oct - 16 Oct 2026
Kampala, Uganda
5 days
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12 Oct - 16 Oct 2026
Accra, Ghana
5 days
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12 Oct - 16 Oct 2026
Kigali, Rwanda
5 days
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19 Oct - 23 Oct 2026
Nakuru, Kenya
5 days
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19 Oct - 23 Oct 2026
Dar es Salaam, Tanzania
5 days
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19 Oct - 23 Oct 2026
Johannesburg, South Africa
5 days
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19 Oct - 23 Oct 2026
Dakar, Senegal
5 days
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26 Oct - 30 Oct 2026
Kisumu, Kenya
5 days
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26 Oct - 30 Oct 2026
Arusha, Tanzania
5 days
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26 Oct - 30 Oct 2026
Pretoria, South Africa
5 days
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26 Oct - 30 Oct 2026
Cairo, Egypt
5 days
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November 2026
2 Nov - 6 Nov 2026
Nairobi, Kenya
5 days
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2 Nov - 6 Nov 2026
Kampala, Uganda
5 days
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2 Nov - 6 Nov 2026
Johannesburg, South Africa
5 days
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2 Nov - 6 Nov 2026
Cairo, Egypt
5 days
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9 Nov - 13 Nov 2026
Mombasa, Kenya
5 days
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9 Nov - 13 Nov 2026
Dar es Salaam, Tanzania
5 days
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9 Nov - 13 Nov 2026
Pretoria, South Africa
5 days
Enroll Now
9 Nov - 13 Nov 2026
Abuja, Nigeria
5 days
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16 Nov - 20 Nov 2026
Nakuru, Kenya
5 days
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16 Nov - 20 Nov 2026
Arusha, Tanzania
5 days
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16 Nov - 20 Nov 2026
Cape Town, South Africa
5 days
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23 Nov - 27 Nov 2026
Kisumu, Kenya
5 days
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23 Nov - 27 Nov 2026
Zanzibar, Tanzania
5 days
Enroll Now
23 Nov - 27 Nov 2026
Kigali, Rwanda
5 days
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30 Nov - 4 Dec 2026
Dubai, United Arabs Emirates
5 days
Enroll Now
30 Nov - 4 Dec 2026
Accra, Ghana
5 days
Enroll Now
30 Nov - 4 Dec 2026
Dakar, Senegal
5 days
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December 2026
7 Dec - 11 Dec 2026
Nairobi, Kenya
5 days
Enroll Now
7 Dec - 11 Dec 2026
Dubai, United Arabs Emirates
5 days
Enroll Now
7 Dec - 11 Dec 2026
Zanzibar, Tanzania
5 days
Enroll Now
7 Dec - 11 Dec 2026
Cape Town, South Africa
5 days
Enroll Now
7 Dec - 11 Dec 2026
Abuja, Nigeria
5 days
Enroll Now
14 Dec - 18 Dec 2026
Mombasa, Kenya
5 days
Enroll Now
14 Dec - 18 Dec 2026
Kampala, Uganda
5 days
Enroll Now
14 Dec - 18 Dec 2026
Accra, Ghana
5 days
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14 Dec - 18 Dec 2026
Kigali, Rwanda
5 days
Enroll Now
21 Dec - 25 Dec 2026
Nakuru, Kenya
5 days
Enroll Now
21 Dec - 25 Dec 2026
Dar es Salaam, Tanzania
5 days
Enroll Now
21 Dec - 25 Dec 2026
Johannesburg, South Africa
5 days
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21 Dec - 25 Dec 2026
Dakar, Senegal
5 days
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28 Dec - 1 Jan 2027
Kisumu, Kenya
5 days
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28 Dec - 1 Jan 2027
Arusha, Tanzania
5 days
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28 Dec - 1 Jan 2027
Pretoria, South Africa
5 days
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28 Dec - 1 Jan 2027
Cairo, Egypt
5 days
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June 2026
8 Jun - 12 Jun 2026
Zoom
5 days
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15 Jun - 19 Jun 2026
Zoom
5 days
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July 2026
6 Jul - 10 Jul 2026
Zoom
5 days
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13 Jul - 17 Jul 2026
Zoom
5 days
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20 Jul - 24 Jul 2026
Zoom
5 days
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August 2026
10 Aug - 14 Aug 2026
Zoom
5 days
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17 Aug - 21 Aug 2026
Zoom
5 days
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24 Aug - 28 Aug 2026
Zoom
5 days
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September 2026
14 Sep - 18 Sep 2026
Zoom
5 days
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21 Sep - 25 Sep 2026
Zoom
5 days
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28 Sep - 2 Oct 2026
Zoom
5 days
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October 2026
19 Oct - 23 Oct 2026
Zoom
5 days
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26 Oct - 30 Oct 2026
Zoom
5 days
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November 2026
2 Nov - 6 Nov 2026
Zoom
5 days
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23 Nov - 27 Nov 2026
Zoom
5 days
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30 Nov - 4 Dec 2026
Zoom
5 days
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December 2026
7 Dec - 11 Dec 2026
Zoom
5 days
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We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.

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In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.

P.E.A.K Framework
Prepare: Set the context and outcomes.
Engage: Keep sessions interactive and relevant.
Apply: Practice with real scenarios and tools.
Know: Validate understanding and next steps.
Key Learning Methods
Experiential "Sandbox" Workshops
Practice real scenarios in a safe, hands-on environment.
Global & Regional Case Studies
Learn from organizations like Apple and Safaricom to uncover diverse strategies.
Interactive Peer-to-Peer Labs
Collaborate, share insights, and solve problems alongside fellow professionals.
Practical Strategy Audits
Receive expert feedback to improve your current projects.
Simulation & Role-Playing
Build confidence handling leadership, communication, and crisis situations.
Professional Toolkit
Access ready-to-use templates, SOPs, and frameworks for immediate application.
90-Day Implementation Plan
Leave with a clear, actionable roadmap for your workplace.
Post-Training Support
Up to 6 months of support, including up to three virtual follow-up sessions as needed.

The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.

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Off-the-shelf solutions rarely fit perfectly. At ForElite Training Institute, we built our Tailor-Made Training (TMT) service to embed our expertise directly into your unique strategy, culture, and operations.

Industry Specific Case Studies

We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).

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Choose a format that fits your operations: intensive 3 day bootcamps or weekly sessions that minimize work disruption.

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We teach directly from your actual templates, brand guidelines, or financial reports.

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Host your bespoke training in any of our 21+ global cities, or we'll send facilitators to your office anywhere in the world.

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Training on Business Analytics with Excel FAQs

Quick answers to common questions about this course

To start with, business analytics in Excel refers to the process of using Excel tools and functions to analyze data, identify patterns, and generate insights that support decision-making. It typically involves data cleaning, calculations, visualization, and modeling within spreadsheets. Ultimately, it enables organizations to make informed, data-driven decisions without requiring complex software.
In practice, several Excel tools are widely used for analytics, including: • PivotTables and PivotCharts for data summarization • Advanced formulas such as VLOOKUP, INDEX-MATCH, and IF functions • Data visualization tools like charts and dashboards • Data Analysis ToolPak for statistical analysis • Power Query for data transformation • Power Pivot for data modeling Together, these tools allow users to perform comprehensive analysis efficiently.
First, Excel helps organize and structure raw data into meaningful formats. Next, it enables analysis through formulas, charts, and statistical tools to uncover trends and relationships. Finally, Excel allows users to present insights clearly through dashboards and reports, making it easier for decision-makers to act on the findings.
Yes, Excel can be used for basic predictive analytics. For example, users can apply forecasting functions, trend analysis, and regression techniques to predict future outcomes. Additionally, scenario analysis tools such as What-If Analysis and Solver help evaluate different business scenarios and outcomes. While not as advanced as specialized tools, Excel provides a strong foundation for predictive modeling.
By the end of the training, participants will gain practical skills such as: • Data cleaning and preparation • Advanced Excel formulas and functions • Data visualization and dashboard creation • Statistical analysis and interpretation • Predictive modeling and forecasting • Building dynamic and interactive reports Most importantly, participants will learn how to convert data into actionable insights that drive business performance.

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