Training on Introduction to IBM SPSS Statistics
Build practical SPSS data analysis skills to make informed, data-driven business decisions and improve organizational performance.
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
In a competitive business environment, data-driven decision-making is no longer optional it’s essential. This course equips professionals with the skills to confidently use IBM SPSS Statistics for efficient data management, analysis, and reporting. Participants will learn how to organize and interpret data to uncover trends, support strategic planning, and improve operational outcomes. Through practical, hands-on exercises, the course bridges analytical theory with real-world business application, ensuring participants can transform complex data into clear, actionable insights. By the end of the training, attendees will be equipped to make informed, evidence-based decisions that enhance organizational performance and impact.
Duration
5 Days
Who Should Attend
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Business analysts and data professionals
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Monitoring and evaluation officers
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Finance, research, and strategy professionals
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Managers seeking data-driven decision-making skills
What you'll walk away with
By the end of this course, participants will be able to:
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Confidently navigate and utilize IBM SPSS Statistics for data analysis
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Manage, clean, and transform datasets effectively
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Perform key statistical tests to generate actionable insights
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Create compelling charts and reports for business presentations
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Apply analytical outcomes to support strategic business decisions
What we cover, module by module
Module 1: Getting Started with SPSS
- Overview of SPSS interface and data management tools
- Importing, entering, and cleaning datasets
- Variable setup, labeling, and data integrity checks
- Case study: Structuring organizational data for analysis
Module 2: Descriptive Statistics and Data Visualization
- Generating descriptive statistics and frequency tables
- Visualizing data through charts and graphs
- Identifying patterns and key insights
- Case study: Analyzing customer satisfaction survey results
Module 3: Data Transformation and Preparation
- Recoding, computing, and merging variables
- Managing missing data and outliers
- Preparing data for advanced analysis
- Case study: Preparing operational data for trend analysis
Module 4: Inferential and Predictive Analysis
- Applying correlation, regression, and ANOVA tests
- Building and interpreting predictive models
- Testing assumptions and ensuring model validity
- Case study: Forecasting business performance using regression models
Module 5: Reporting and Presenting Analytical Results
- Customizing tables, charts, and analytical reports
- Exporting results to Word, Excel, and PowerPoint
- Interpreting statistical findings for decision-makers
- Case study: Developing a data-driven business performance report
Where the change lands
Organizational Impact:
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Enhanced data-driven decision-making across departments
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Improved accuracy and consistency in reporting and analysis
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Stronger alignment between analytics and business strategy
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Increased operational efficiency through data automation
Individual Impact:
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Strengthened analytical and reporting capabilities
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Improved confidence in data interpretation and presentation
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Enhanced problem-solving and decision-support skills
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Career advancement in data-driven professional roles
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 Introduction to IBM SPSS Statistics 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.
