Training on Business Analytics with Excel
Master business analytics with Excel. Learn to analyze data, create insightful visualizations, and make data-driven decisions.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This intensive five-day course is designed to provide participants with a comprehensive understanding of business analytics using Microsoft Excel. Participants will learn to harness the power of Excel to analyze data, create advanced models, and generate actionable business insights. The course covers a range of analytical techniques and tools, including data visualization, statistical analysis, and predictive modeling.
Course Duration
5 Days
Who Should Attend
- Business analysts and data analysts looking to enhance their Excel skills.
- Managers and decision-makers who need to understand data analysis for strategic planning.
- Financial analysts and accountants who want to improve their analytical capabilities.
- Marketing professionals seeking to leverage data for better marketing strategies.
- Anyone interested in learning how to use Excel for advanced business analytics.
What you'll walk away with
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.
What we cover, module by module
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
- Case Study: Sales reporting errors caused by poor spreadsheet practices
- Practical: Organizing business data and applying basic Excel formulas
Module 2: Data Analysis and Visualization
- Advanced data manipulation techniques
- Creating and formatting charts and graphs
- Using PivotTables for data summarization
- Introduction to Excel data visualization tools
- Case Study: Management dashboard improving monthly performance reviews
- Practical: Building PivotTables, charts, and interactive summaries
Module 3: Statistical Analysis with Excel
- Descriptive statistics and data distributions
- Hypothesis testing and confidence intervals
- Correlation and regression analysis
- Using Excel Analysis ToolPak for statistical analysis
- Case Study: Customer satisfaction survey analysis guiding service improvements
- Practical: Running statistical tests and interpreting outputs in Excel
Module 4: Predictive Modeling
- Introduction to predictive modeling concepts
- Building and evaluating linear regression models
- Time series analysis and forecasting
- Scenario and sensitivity analysis in Excel
- Case Study: Demand forecasting reducing stock shortages and excess inventory
- Practical: Building forecasts and scenario models using business data
Module 5: Advanced Excel Tools and Real-World Applications
- Introduction to Power Query and Power Pivot
- Automating analysis with macros and VBA
- Integrating multiple data sources
- Best practices for business analytics with Excel
- Case Study: Automating monthly finance reports to save time and improve accuracy
- Practical: Creating an automated analytics dashboard using advanced Excel tools
Where the change lands
Organizational Impact
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Enhance decision-making by converting raw data into actionable insights and reports.
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Boost operational efficiency through automated data processes and reduced manual reporting.
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Foster a data-driven culture to uncover trends, increase profitability, and strengthen competitive position.
Personal Impact
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Acquire in-demand skills essential for modern business careers.
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Advance toward leadership, business intelligence, or strategic planning roles.
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Contribute to organizational success with data-driven recommendations.
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Gain confidence to lead and champion data-driven initiatives.
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.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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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 Business Analytics with Excel 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.