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NITA AccreditedAdvancedPhysical + Virtual10 daysTOBD739

Training on Big Data Fundamentals & Business Intelligence

Build practical skills in big data and business intelligence. This intensive course covers analytics, visualization, governance, and BI use cases.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Advanced

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This intensive training provides participants with a practical understanding of big data concepts, analytics, and business intelligence (BI) for informed decision-making. Participants will learn how large and complex datasets are collected, managed, analyzed, and transformed into actionable insights using modern BI approaches. The course emphasizes real-world applications, data-driven strategy, visualization, and governance to support organizational performance and digital transformation.

Duration

10 Days

Who Should Attend

  • Business intelligence and data analytics professionals

  • Monitoring, Evaluation, and Learning (MEL) officers

  • Managers, planners, and decision-makers

  • ICT, digital transformation, and innovation teams

  • Finance, operations, HR, and program staff

  • Government, NGO, and development sector professionals

Learning outcomes

What you'll walk away with

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

  • Explain big data concepts and analytics workflows

  • Understand data sources, data quality, and data management

  • Apply BI concepts to analyze and visualize data

  • Interpret dashboards and performance indicators

  • Support evidence-based decision-making and strategy

  • Apply ethical and governance principles in data use

Course modules

What we cover, module by module

Module 1: Introduction to Big Data & Business Intelligence

  • What is big data? Key concepts and characteristics
  • Difference between traditional data and big data
  • Overview of business intelligence and analytics
  • Role of data in organizational performance
  • Case Study:Using big data to improve organizational efficiency

Module 2: Data Sources, Types & Collection

  • Structured, semi-structured, and unstructured data
  • Internal and external data sources
  • Data collection methods and tools
  • Data quality, accuracy, and reliability
  • Practical Session:Identifying data sources for BI use cases

Module 3: Big Data Architecture & Processing Concepts

  • Overview of big data ecosystems (conceptual)
  • Data storage and processing models
  • Data pipelines and workflows
  • Cloud-based data platforms (overview)
  • Case Study:Designing a basic big data architecture

Module 4: Data Management, Governance & Security

  • Data management principles
  • Data governance frameworks and policies
  • Data privacy, protection, and compliance
  • Ethical use of data
  • Practical Session:Developing a basic data governance checklist

Module 5: Introduction to Data Analytics

  • Types of analytics: descriptive, diagnostic, predictive
  • Key metrics and performance indicators
  • Trend and comparative analysis
  • Interpreting analytical results
  • Case Study:Analyzing performance data for decision-making

Module 6: Business Intelligence Tools & Dashboards

  • Overview of BI tools and platforms
  • Designing effective dashboards
  • KPIs, scorecards, and reporting structures
  • Automating reports and updates
  • Practical Session:Designing a BI dashboard concept

Module 7: Data Visualization & Storytelling

  • Principles of effective data visualization
  • Choosing the right charts and visuals
  • Data storytelling for non-technical audiences
  • Communicating insights to leadership
  • Practical Session:Creating a data-driven story from insights

Module 8: Advanced BI & Big Data Use Cases

  • BI applications in business, government, and development
  • Real-time analytics and performance monitoring
  • Integrating multiple data sources
  • Sector-specific use cases
  • Case Study:Applying BI to improve service delivery

Module 9: Analytics-Driven Strategy & Decision-Making

  • Linking analytics to strategy and planning
  • Scenario analysis and forecasting (conceptual)
  • Measuring impact and performance
  • Building analytics maturity in organizations
  • Practical Session:Developing an analytics-driven decision framework

Module 10: Capstone Project & Future Trends

  • Group capstone: BI and big data use-case design
  • Presentations and peer feedback
  • Emerging trends in big data and BI
  • Course evaluation and action planning
Impact

Where the change lands

Personal Impact

  • Strong understanding of big data and BI concepts

  • Improved ability to interpret data and analytics outputs

  • Enhanced skills in reporting and insight generation

  • Increased confidence in data-driven decision-making

Organizational Impact

  • Improved strategic planning and performance management

  • Faster, more accurate reporting and dashboards

  • Better use of organizational data assets

  • Stronger data governance and accountability

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. The course is conceptual and practical, suitable for non-technical professionals.

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 Big Data Fundamentals & Business Intelligence 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.