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NITA AccreditedIntermediatePhysical + Virtual5 daysDSBDC

Training on Data Science for Business Decision Making

Master data science for business decision making and drive data-driven innovation. Learn to apply data science techniques to solve real-world business problems, improve decision-making, and gain a competitive edge.

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 today's data-driven world, business decisions are increasingly guided by analytics. Whether you are a business manager, entrepreneur, or consultant, mastering data science techniques empowers you to make more informed decisions, enhance operational efficiency, and drive business success. This course is designed to demystify data science for professionals and provide practical skills to analyze data, uncover insights, and apply them to real-world business challenges.

This course will provides participants with the knowledge and skills necessary to understand and apply data science in business contexts. The course introduces foundational data science concepts, tools, and methodologies for collecting, analyzing, and interpreting data to make evidence-based decisions. Participants will work with real-world business data, exploring data visualization, predictive modeling, machine learning techniques, and statistical analysis to solve common business problems. By the end of the course, participants will be equipped to integrate data-driven insights into strategic and operational decisions.

Duration

5 Days

Who Should Attend

  • Business managers and executives seeking to incorporate data science into decision-making processes
  • Professionals in marketing, finance, operations, or HR who want to utilize data for better business outcomes
  • Entrepreneurs and business owners aiming to leverage data to improve performance and strategy
  • Analysts and consultants seeking to enhance their data science knowledge for business applications
  • Anyone with an interest in using data to inform business decisions, regardless of prior technical expertise
Learning outcomes

What you'll walk away with

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

  • Understand key concepts in data science and how they apply to business decision-making.
  • Analyze and interpret business data to draw actionable insights.
  • Utilize data visualization techniques to communicate findings effectively.
  • Apply predictive modeling and machine learning techniques to forecast business trends.
  • Leverage data science tools (such as Excel, Python, or R) for business analytics.
  • Incorporate data-driven strategies into business planning and decision-making.
  • Identify and solve common business challenges using data-driven approaches.
Course modules

What we cover, module by module

Module 1: Introduction to Data Science for Business

  • Overview of data science concepts and their importance in business
  • Data-driven decision making: An introduction
  • Understanding data types and sources in a business context
  • Key tools and software for data science

Module 2: Data Collection and Analysis Techniques

  • Data cleaning and preparation: Ensuring data quality
  • Exploratory data analysis (EDA) for business insights
  • Hands-on session: Working with real-world business datasets

Module 3: Data Visualization and Communication

  • Principles of data visualization for decision-making
  • Introduction to popular visualization tools (Tableau, Power BI)
  • Best practices for presenting data-driven insights to stakeholders
  • Hands-on session: Visualizing business data

Module 4: Predictive Modeling and Machine Learning for Business

  • Fundamentals of predictive analytics and machine learning
  • Techniques for forecasting business trends
  • Case studies: Applying machine learning models to solve business problems
  • Hands-on session: Building and applying predictive models

Module 5: Implementing Data-Driven Strategies

  • Integrating data science into business operations
  • Measuring business performance through analytics
  • Crafting data-driven strategies for business growth
  • Solving a real business case using data science
Impact

Where the change lands

Organizational Impact

  • Improve decision-making by using clear, data-driven insights instead of intuition.

  • Increase operational efficiency and competitiveness by identifying trends and opportunities.

  • Enhance collaboration between business and technical teams for faster project implementation.

  • Reduce risks and costs through a data-driven culture.

Personal Impact

  • Gain a highly valuable and in-demand skill in data-driven decision-making.

  • Advance into senior leadership, strategic planning, or business development roles.

  • Contribute to profitability and innovation by applying data science strategically.

  • Build confidence to lead and advise on data initiatives with authority.

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.

The goal is to equip business leaders and managers with the skills to use data science to make evidence-based decisions that improve performance, innovation, and strategic outcomes.

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 Data Science for Business Decision Making 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.