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Ideal Workplace Solutions
NITA AccreditedIntermediatePhysical + Virtual10 daysTODM596

Training on Data Manipulation with SPSS and Visualization with Power BI

Learn to analyze, visualize, and communicate data insights using SPSS and Power BI for smarter decisions.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This intensive 10 day course provides participants with practical skills in data management, statistical analysis, and business intelligence using SPSS and Power BI. The training covers the complete data analysis cycle, from data collection, cleaning, and transformation to statistical analysis, visualization, and reporting, enabling participants to convert raw data into meaningful insights.

Participants will learn how to analyze complex datasets using SPSS, create interactive dashboards and reports in Power BI, and communicate findings effectively to support evidence based decision making. Through hands on exercises, case studies, and real world datasets, the course strengthens participants’ ability to generate actionable insights, improve reporting quality, and enhance organizational performance across research, development, public sector, and business environments.

Duration

10 Days

Who Should Attend

  • Monitoring and Evaluation (M&E) professionals

  • Data analysts, researchers, and statisticians

  • Program managers and reporting officers

  • Business intelligence and performance management teams

  • Anyone responsible for data-driven reporting and decision-making

Learning outcomes

What you'll walk away with

By the end of the course, participants will be able to:

  • Collect, clean, and manage data using SPSS efficiently.

  • Conduct descriptive and inferential statistical analyses.

  • Integrate and visualize SPSS data using Power BI.

  • Design interactive dashboards and automate reporting.

  • Present data findings effectively for strategic decisions.

Course modules

What we cover, module by module

Module 1: Introduction to Data Management and SPSS Environment

  • Understanding data management concepts and workflows

  • Navigating the SPSS interface and defining data structures

  • Importing, exporting, and organizing datasets from multiple sources

  • Case Study: Setting up an SPSS database for a multi-country project

Module 2: Data Cleaning and Transformation Techniques

  • Detecting and managing missing, duplicate, or inconsistent data

  • Data transformation: recoding, computing, and labeling variables

  • Ensuring data accuracy and validity for analysis

  • Case Study: Cleaning a survey dataset for accurate reporting

Module 3: Descriptive and Inferential Data Analysis in SPSS

  • Generating descriptive statistics and frequency distributions

  • Conducting cross-tabulations, correlations, and regression analysis

  • Interpreting and summarizing analytical outputs

  • Case Study: Statistical analysis of program outcomes

Module 4: Advanced Statistical Techniques and Outputs

  • Using factor analysis, ANOVA, and chi-square tests

  • Creating tables, charts, and syntax automation in SPSS

  • Exporting results for visualization and presentation

  • Case Study: Evaluating program impact using inferential methods

Module 5: Introduction to Power BI for Data Visualization

  • Overview of Power BI architecture and capabilities

  • Connecting Power BI to SPSS outputs and other data sources

  • Data modeling, cleaning, and transformations in Power Query

  • Case Study: Linking SPSS datasets to Power BI for real-time insights

Module 6: Building Interactive Dashboards in Power BI

  • Designing visualizations: charts, maps, KPIs, and cards

  • Building drill-down dashboards for detailed analysis

  • Best practices for dashboard design and usability

  • Case Study: Creating a performance dashboard for donor reporting

Module 7: Using DAX and Advanced Analytics in Power BI

  • Introduction to DAX functions and calculated measures

  • Applying filters, relationships, and dynamic metrics

  • Performing trend and comparative analyses

  • Case Study: Developing dynamic indicators for M&E dashboards

Module 8: Integrating SPSS and Power BI for Automated Reporting

  • Exporting analyzed SPSS data into Power BI for visualization

  • Creating automated pipelines for data updates

  • Generating real-time reports and alerts

  • Case Study: Streamlining project monitoring with automated updates

Module 9: Data Governance and Reporting Standards

  • Ensuring data accuracy, consistency, and confidentiality

  • Reporting ethics and compliance with data standards

  • Communicating insights effectively to decision-makers

  • Case Study: Applying data governance best practices in reporting

Module 10: Capstone Project and Presentation

  • Developing an end-to-end project using SPSS and Power BI

  • Presenting findings through visual storytelling

  • Peer review and group feedback session

  • Case Study: Designing a full reporting dashboard for a field dataset

Impact

Where the change lands

Organizational Impact

  • Enhanced capacity for accurate and timely data reporting

  • Data-driven culture promoting evidence-based decision-making

  • Improved efficiency in data processing and visualization

  • Stronger communication of program and business performance metrics

Individual Impact

  • Advanced data handling and statistical analysis proficiency

  • Ability to design insightful dashboards for reporting

  • Confidence in using SPSS and Power BI for integrated data workflows

  • Improved storytelling and presentation of analytical insights

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.

No, this course starts with foundational concepts and builds to advanced techniques.

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For corporate teams

Training 10+ professionals?

We deliver Training on Data Manipulation with SPSS and Visualization with Power BI 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.

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