Managers are told to be data driven, yet most analysis still stops at a spreadsheet and a hunch. Teams that can clean their own data, test an idea statistically and build a predictive model move faster than those waiting for a specialist queue. Ten days take working professionals from first lines of Python to a deployed analysis. Early sessions teach Python, Jupyter notebooks, pandas, SQL queries, data cleaning and visualisation with matplotlib and seaborn. You then learn descriptive statistics, hypothesis testing, correlation and the habit of asking a sharp business question.
The second week brings modelling: linear and logistic regression, decision trees, random forests, clustering for customer segments, time series forecasting, model validation with scikit-learn and the ethics of automated decisions. Labs use sales, customer, finance and operations datasets, and the final days are given to an integrated project and a presentation to a mock leadership team. The programme is meant for analysts, marketing, finance, operations and HR managers, consultants and entrepreneurs with some spreadsheet experience but little coding. It is offered in classroom, online and in-house formats, with a CPD-accredited certificate. You return able to frame a question, build a model and explain the result.
Every organisation now produces data from sales systems, mobile money, customer service, supply chains and websites, yet only a fraction of it informs decisions. Competitors that use analytics well price more precisely, spot churn earlier and forecast demand with fewer surprises. The barrier is rarely access to data. It is the lack of professionals who understand both the business problem and the techniques needed to answer it.
The Data Science for Business Professionals Training Course is built for that audience. It starts by framing business questions as analytical problems, then introduces Python and the notebook workflow. Participants learn to load data from files and databases, clean and reshape it with pandas, summarise it, and communicate patterns through charts. A solid statistics block follows, covering distributions, sampling, confidence intervals, A/B testing and correlation. The second half of the programme covers predictive and descriptive modelling with scikit-learn: regression, classification, tree-based methods, clustering and forecasting, together with feature preparation, cross-validation, evaluation metrics, bias and interpretability. Final sessions deal with deployment options, dashboards, documentation and responsible use of data.
Every day combines explanation with a guided computer lab on business datasets. Participants complete a capstone project and present recommendations in plain business language.
By the end of the course, participants will be able to:
Participants leave with:
Most of each day is spent at the keyboard, supported by:
Day 1: Data Science and the Business Question
Day 2: Working with Data in pandas
Day 3: Cleaning and Preparing Data
Day 4: SQL and Data Sources
Day 5: Visualisation and Storytelling
Day 6: Statistics for Decision Making
Day 7: Regression and Forecasting Basics
Day 8: Classification Models
Day 9: Clustering, Segmentation and Responsible Data Science
Day 10: Capstone Project and Deployment
The course is aimed at professionals who want to use data science in their own work, including:
Participants who attend all ten days, complete the labs and present the capstone project are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
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 Data Science for Business Professionals programme, you'll be able to translate business questions into analytical tasks with measurable success criteria, write python code in jupyter notebooks to load, clean and transform data with pandas, query relational data using sql and combine it with other sources, and create clear exploratory charts with matplotlib and seaborn. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is aimed at professionals who want to use data science in their own work, including: Business, financial and marketing analysts, Operations and supply chain managers, Finance and planning officers, Human resource and people analytics staff, Product managers and entrepreneurs, Monitoring and research officers moving into analytics, Management consultants and advisers, Bankers, insurers and telecom professionals who work with customer data, and Graduates seeking practical data skills for their first analytics role.
Data Science for Business Professionals 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.
Data Science for Business Professionals 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 Data Science for Business Professionals starts October 12, 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 Data Science for Business Professionals Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data Science for Business Professionals 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 Data Science for Business Professionals 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 — Data Science for Business Professionals 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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