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Ideal Workplace Solutions
NITA AccreditedIntermediatePhysical + Virtual5 daysTOFO617

Training on Foundations of Data Science for Non-Technical Staff and Managers

Empower managers to make data-driven decisions with our practical Data Science Foundations course designed for non-technical professionals.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 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

In an era where data informs every strategic decision, managers and professionals must understand how to interpret and act on insights derived from data. This course introduces non-technical participants to the principles of data science and analytics in a business context. It bridges the gap between technical experts and decision-makers, equipping leaders to identify opportunities, evaluate insights critically, and embed data-driven thinking into organizational strategy.

Duration

5 Days

Who Should Attend

  • Departmental Managers and Supervisors

  • Strategy and Operations Officers

  • Policy Makers and Project Managers

  • Business Development and Marketing Executives

  • Professionals seeking to understand data in decision-making contexts

Learning outcomes

What you'll walk away with

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

  • Understand the core concepts and workflow of data science.

  • Identify reliable data sources and evaluate data quality.

  • Interpret analytical outputs and dashboards confidently.

  • Integrate data-driven reasoning in decision-making processes.

  • Communicate effectively with data and analytics professionals.

  • Appreciate ethical and governance considerations in data use.

Course modules

What we cover, module by module

Module 1: Understanding Data Science in Business

  • Overview of data science, analytics, and the data lifecycle.

  • Key data concepts: structured vs unstructured, descriptive vs predictive.

  • The role of data in corporate strategy and digital transformation.

  • Real-world examples of data-driven business success.
    Case Study: How organizations use analytics to enhance strategic planning.

Module 2: Data Collection, Quality, and Interpretation

  • Identifying reliable data sources and managing data quality.

  • Basics of data cleaning and preprocessing.

  • Reading and interpreting charts, dashboards, and summaries.

  • Recognizing errors, bias, and misinterpretation in analysis.
    Case Study: Evaluating customer data to improve operational efficiency.

Module 3: Data-Driven Decision-Making for Managers

  • Translating business challenges into analytical questions.

  • Linking insights to KPIs and performance metrics.

  • Reviewing and assessing analytical reports for business value.

  • Communicating findings to non-technical stakeholders.
    Case Study: Using analytics to guide resource allocation and performance improvement.

Module 4: Business Intelligence Tools and Data Visualization

  • Introduction to key BI tools: Power BI, Tableau, and Looker Studio.

  • Essentials of dashboard interpretation and data storytelling.

  • Best practices in visualization for executive communication.

  • Overview of automation in reporting and trend analysis.
    Practical Session: Reviewing dashboards to extract actionable insights.

Module 5: Data Ethics, Governance, and Future Trends

  • Ethical and responsible use of data in organizations.

  • Data privacy, compliance, and governance frameworks.

  • Building a data-driven culture and institutionalizing analytics.

  • Emerging trends: AI, machine learning, and predictive analytics for managers.
    Capstone Case Study: Designing a simple data-informed strategy for your organization.

Impact

Where the change lands

Organization Impact:

  • Promotes evidence-based management and accountability.

  • Strengthens collaboration between business units and data teams.

  • Improves decision-making accuracy and strategic agility.

  • Enhances organizational data governance and compliance.

Individual Impact:

  • Builds confidence in using and interpreting data effectively.

  • Improves communication with analysts and technical teams.

  • Enables smarter, data-informed leadership and planning.

  • Expands professional value and analytical literacy.

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 is designed for non-technical professionals and focuses on practical understanding rather than coding.

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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 Foundations of Data Science for Non-Technical Staff and Managers 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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