Classroom cohorts in Cape Town, Pretoria, Johannesburg · live online · in-house anywhere in South Africa
Customer records hold answers to questions every marketing and sales team asks: who is likely to leave, who is worth keeping and which offers will land. Python makes those answers repeatable at scale. Working in Jupyter notebooks, you first clean, merge and reshape transactional and CRM data with pandas, handling duplicates, missing values and date fields. Segmentation follows, using recency, frequency and monetary scoring alongside k-means clustering to group customers by behaviour and value, then profiling each segment for action.
The second week moves to prediction. You build and validate churn models with scikit-learn, comparing logistic regression and tree-based methods, tuning thresholds and reading precision, recall and lift in business terms. Customer lifetime value is estimated from historical purchases, linking segments and churn risk to revenue. Charts in matplotlib and seaborn help present findings to non-technical colleagues. Marketing analysts, CRM managers, data analysts and business intelligence staff with basic Python or strong Excel skills are the natural audience. You finish with a reusable notebook that segments a customer base, scores churn risk and estimates value per customer.
Most customer databases hold more insight than any team can extract by hand, which is why this course centres on Python as the working tool rather than a theoretical add-on. Participants build cleaning, segmentation and cohort-analysis pipelines in pandas, then apply scikit-learn to predict churn and estimate customer lifetime value using anonymised retail and telecom-style datasets.
The second half shifts from modelling to communication: translating a churn score or an RFM segment into a campaign brief a marketing manager can run with. Sessions close with dashboarding in Python so results reach stakeholders without a data-science translator in the room.
Throughout the programme, participants work through realistic scenarios drawn from public sector institutions, private enterprises, development organizations, and regulated professional environments, examining how customer analytics using python is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for predictive CLV modelling, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
By the end of this course, participants will be able to:
By the end of the Customer Analytics Using Python Training, participants will leave with:
This training course adopts a practical, participant-centered learning approach that builds customer analytics using python expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
This course is designed for professionals who work with customer data and need practical Python skills to act on it, including:
Participants who complete the course receive a Certificate of Completion from Vision Reach Global Consultancy. The training fee includes access to Python lab environments and sample customer datasets, printed and digital course materials, and daily refreshments. Sessions are facilitated by practitioners experienced in applied customer analytics, and certificates are issued at the close of the programme.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Choose Where You Want to Learn
South AfricaCape TownNext Oct 26· 13 dates$7,600South AfricaPretoriaNext Nov 2· 13 dates$6,400South AfricaJohannesburgNext Nov 2· 13 dates$6,800
KenyaMombasaNext Oct 26· 13 dates$3,200KenyaNaivashaNext Nov 2· 13 dates$3,000KenyaNairobiNext Nov 9· 13 dates$3,000KenyaKisumuNext Oct 26· 13 dates$3,000KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaZanzibarNext Nov 16· 13 dates$5,200
UAEDubaiNext Oct 26· 13 dates$7,600TanzaniaDodomaNext Oct 26· 13 dates$3,600TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000TanzaniaArushaNext Nov 9· 13 dates$3,800
NigeriaAbujaNext Nov 9· 13 dates$5,600NigeriaLagosNext Nov 16· 13 dates$5,600
GhanaAccraNext Nov 16· 13 dates$9,000Scroll sideways to see all 18 cities →
Everything you need to know about this course before you register.
Customer Analytics Using Python Training runs as classroom training in Cape Town, Pretoria, and Johannesburg, South Africa, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in South Africa, or book it in-house at your organisation's own premises.
The next classroom cohort in South Africa starts on October 26, 2026 in Cape Town, and a new intake follows every four weeks in each city. Pick a city and date in the schedule panel above, then click "Register for the Course" — your seat is confirmed once payment or a signed purchase order is received.
Classroom fees for Customer Analytics Using Python Training in South Africa run from USD 6,400 per delegate in Pretoria to USD 7,600. The fee covers tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes — Customer Analytics Using Python Training can be delivered at your offices anywhere in South Africa, or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Switch to the "In-House" tab in the schedule panel above to request a proposal.
Yes. Customer Analytics Using Python Training also runs as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, so you can join from anywhere in South Africa without travelling. Choose "Virtual Live" in the schedule panel above to see the online dates and fee.
By the end of the Customer Analytics Using Python Training programme, you'll be able to clean, merge and reshape transactional and crm data using pandas, segment customers with rfm analysis and clustering techniques, build and validate churn-prediction models using scikit-learn, and estimate customer lifetime value from historical purchase data. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is designed for professionals who work with customer data and need practical Python skills to act on it, including: CRM and customer insight analysts, Marketing analysts and campaign managers, Sales operations and revenue analysts, Business intelligence and reporting professionals, Product managers who rely on usage and retention data, Data analysts transitioning into customer-facing analytics roles, and IT Managers and Systems Administrators.
Customer Analytics Using Python Training typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Customer Analytics Using Python Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Customer Analytics Using Python Training is pitched at intermediate to advanced 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.
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