Many organisations have invested in data teams and dashboards yet struggle to show a return. Projects stall because the question was vague, the data was poor, the model was never adopted, or nobody at the top could judge whether the results were sound. Senior leaders do not need to write code, but they do need enough fluency to ask sharp questions and make confident decisions. Over ten days you work through the data science lifecycle, data quality, statistics for decisions and exploratory analysis in Python notebooks, then the main model families: regression, classification, clustering, forecasting, deep learning and generative AI.
Later sessions cover evaluating models through precision, recall and the cost of errors, feature importance, bias and fairness, deployment and MLOps, team design, budgeting, vendor selection and responsible AI governance, ending with a project that turns an organisational problem into a funded use case. It suits directors, heads of department, chief data and information officers, senior managers in banking, telecoms, government, health and development, and analytics leads stepping into management. Delivery is in class, online or in-house with a CPD-accredited certificate. Afterwards you can prioritise a portfolio and hold your data team to account.
Machine learning has moved from research laboratories into credit scoring, customer retention, fraud detection, supply planning, public health surveillance and programme targeting. Decision makers are expected to approve budgets, sponsor projects and accept risks for systems they may only partly understand. Without a working grasp of what data science can and cannot do, they either overspend on fashionable technology or overlook sound opportunities in their own data.
The Executive Data Science & Machine Learning in Practice Training Course gives leaders a practical grounding. Participants follow a complete project from framing a business question, assembling and cleaning data and exploring patterns, to building, testing and interpreting simple models. They see how supervised and unsupervised methods work, why models fail, how to judge accuracy against business cost, and what happens when a model moves into production and drifts. Strategy sessions then address data governance, privacy, ethics, talent models, build or buy choices, value tracking and the realistic place of generative AI.
Demonstrations and guided notebooks make concepts tangible without requiring programming experience. By the end, each participant has a prioritised use case portfolio, a business case and a governance checklist ready to take back to their executive team.
By the end of the course, participants will be able to:
Participants leave the course with:
The course is designed for leaders, so concepts are shown rather than coded from scratch. Delegates experience:
Day 1: Data Science and the Decision Maker
Day 2: Framing Problems and Data Foundations
Day 3: Statistics and Exploratory Analysis
Day 4: Supervised Learning
Day 5: Evaluating Models and Business Value
Day 6: Unsupervised Learning, Forecasting and Text
Day 7: Deep Learning, Generative AI and Computer Vision
Day 8: Explainability, Ethics and Governance
Day 9: Deployment, MLOps and Operating Models
Day 10: Strategy, Business Case and Roadmap
The programme is intended for decision makers who sponsor, manage or rely on analytical work, including:
A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy is awarded to each leader who attends all ten days, takes part in the guided labs and executive role-plays, and presents a final business case.
The certificate records the course title, dates and delivery mode, while the use case portfolio, scorecard and roadmap prepared during the programme give a ready record of applied learning for board or appraisal discussions.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Executive Data Science & Machine Learning in Practice programme, you'll be able to frame business problems as data science questions with measurable success criteria, assess data readiness, quality and access constraints for a proposed project, interpret exploratory analysis, statistical tests and visualisations, and distinguish the main machine learning approaches and match them to use cases. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is intended for decision makers who sponsor, manage or rely on analytical work, including: Directors and heads of department in large organisations, Chief information, data and digital officers, Senior managers in banking, insurance and telecommunications, Government and parastatal executives, Programme directors in health, development and humanitarian bodies, Strategy, innovation and transformation leads, Analytics and BI managers moving into leadership roles, and Risk, audit and compliance executives overseeing AI use.
Executive Data Science & Machine Learning in Practice Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Executive Data Science & Machine Learning in Practice Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Executive Data Science & Machine Learning in Practice starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Executive Data Science & Machine Learning in Practice Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Executive Data Science & Machine Learning in Practice Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Executive Data Science & Machine Learning in Practice Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Executive Data Science & Machine Learning in Practice Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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