Live Online Data and Analytics for Digital Agritech for Smallholders Training Course
Live online, instructor-led · next cohort Oct 26, 2026 · from USD 800
Agritech start-ups, cooperatives and development projects now hold records on thousands of smallholders, from mobile money transactions to plot locations and advisory messages. Few turn that information into better services. Five days teach teams to collect, clean and analyse agricultural data so that products reach more farmers and prove their worth. You design farmer registration and data capture, set data standards, and handle consent and privacy for sensitive household information.
Analytics labs use spreadsheets and Power BI or similar tools to profile users, track engagement and measure adoption, yield and income change. Further sessions introduce satellite and weather data for crop monitoring, simple prediction of yield and risk, alternative credit scoring from transaction history, and A/B testing of advisory messages. You also build dashboards for programme managers and funders. Agritech product managers, data analysts, monitoring and evaluation officers, cooperative managers, digital extension teams and agricultural lenders will find the content practical. It is offered in the classroom, online or in-house, with a CPD-accredited certificate.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (5 Days)
- Fee
- USD 800 (KES 80,000)
- Next start dates
- Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
Digital platforms are changing how smallholder farmers buy inputs, receive advice, access finance and sell produce. Behind each platform sits a stream of data that could show who is being reached, which advice works and where farmers are slipping into risk. In many organisations that data sits unused in scattered files, or it is analysed so late that decisions have already been made.
The programme focuses on the data needs of services that serve smallholders. Participants start with data foundations: what to collect, how to capture it reliably in low-connectivity settings, and how to protect farmers' privacy. They then learn the core techniques of analysis, including cleaning, segmentation, cohort tracking and the design of indicators for reach, adoption and income. Later sessions bring in geospatial and weather information, simple forecasting, credit risk modelling and experiment design.
Sessions are lab-led, using anonymised farmer datasets typical of mobile advisory, input credit and market linkage platforms. Participants conclude with an analytics plan, a prototype dashboard and a set of recommendations for their own product or programme.
Training Objectives
On completing the course, participants will be able to:
- Design farmer data collection forms and registries that suit field conditions.
- Apply consent, privacy and data protection practices to farmer information.
- Clean and combine datasets from mobile platforms, surveys and payment systems.
- Segment farmers and analyse engagement, retention and adoption patterns.
- Build dashboards that report reach, yield and income indicators.
- Use satellite imagery and weather data to monitor crop conditions.
- Develop basic yield forecasts and risk indicators for farmer groups.
- Evaluate credit scoring approaches based on alternative data.
What you'll learn
Key Takeaways
Participants complete the programme with:
- A farmer data capture design and consent template.
- A clean, analysis-ready practice dataset and cleaning script or routine.
- A prototype dashboard of reach, adoption and income measures.
- A method for using satellite and weather data in crop monitoring.
- A scoring approach for assessing farmer creditworthiness.
- A priority analytics roadmap for their own organisation.
Training Methodology
Delivery follows a lab-first approach. Participants experience:
- Guided exercises on anonymised smallholder datasets
- Dashboard-building clinics with step-by-step support
- Case studies from mobile advisory and input finance services
- Group design tasks for data capture and experiment plans
- One-to-one feedback on each participant's analytics roadmap
Day 1: Smallholder Data Landscape
- Types of data in agritech: registry, transaction, advisory and sensor
- Data flows in mobile advisory, input credit and market platforms
- Questions that analytics should answer for farmers and funders
- Data quality challenges in rural settings
- Choosing indicators for reach, adoption and income
- Exercise: mapping a data value chain
Day 2: Data Collection, Privacy and Preparation
- Designing mobile forms and farmer registries
- Offline capture and synchronisation
- Consent, privacy and ethical data use
- Importing, cleaning and merging datasets
- Handling duplicates, gaps and outliers
- Lab: preparing a farmer dataset
Day 3: Descriptive Analytics and Dashboards
- Farmer segmentation and personas
- Engagement, retention and cohort analysis
- Measuring adoption of practices and inputs
- Building dashboards in Power BI or equivalent tools
- Reporting to funders and management
- Lab: building a reach and adoption dashboard
Day 4: Geospatial, Weather and Predictive Analysis
- Plot mapping and boundary data
- Satellite vegetation indices for crop monitoring
- Rainfall and weather data for advisory and insurance
- Simple yield forecasting and risk flags
- Limits and bias in predictive models
- Lab: reading vegetation index trends for a farm cluster
Day 5: Credit Scoring, Experiments and Planning
- Alternative data credit scoring for smallholders
- Assessing repayment and default patterns
- Testing advisory messages with A/B experiments
- Measuring impact on yield and income
- Governance of algorithms and farmer protection
- Analytics roadmap and course review
The programme is aimed at those who build, manage or fund digital services for farmers, including:
- Agritech product and operations managers
- Data analysts and data officers in agricultural programmes
- Monitoring, evaluation and learning officers
- Digital extension and advisory service coordinators
- Cooperative, SACCO and farmer organisation managers
- Agricultural lenders and insurers
- Input suppliers and offtakers running outgrower schemes
- Donor and development agency programme staff
Vision Reach Global Consultancy issues a CPD-accredited Certificate of Completion to participants who attend all sessions and finish the analytics labs and roadmap.
Choose Where You Want to Learn
Data and Analytics for Digital Agritech for Smallholders Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$1,500- KenyaMombasaNext Oct 26· 13 dates$1,600
- KenyaNaivashaNext Nov 2· 13 dates$1,500
- KenyaKisumuNext Oct 26· 13 dates$1,500
- KenyaMachakosNext Nov 2· 13 dates$1,600
UgandaKampalaNext Nov 2· 13 dates$1,900
RwandaKigaliNext Oct 26· 13 dates$1,900
TanzaniaArushaNext Nov 9· 13 dates$1,900- TanzaniaDodomaNext Oct 26· 13 dates$1,800
- TanzaniaDar es SalaamNext Oct 26· 13 dates$2,000
- TanzaniaZanzibarNext Nov 16· 13 dates$2,600
NigeriaLagosNext Nov 16· 13 dates$2,800- NigeriaAbujaNext Nov 9· 13 dates$2,800
South AfricaPretoriaNext Nov 2· 13 dates$3,200- South AfricaJohannesburgNext Nov 2· 13 dates$3,400
- South AfricaCape TownNext Oct 26· 13 dates$3,800
UAEDubaiNext Oct 26· 13 dates$3,800
GhanaAccraNext Nov 16· 13 dates$4,500
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Data and Analytics for Digital Agritech for Smallholders Training Course
Everything you need to know about this course before you register.
By the end of the Data and Analytics for Digital Agritech for Smallholders programme, you'll be able to design farmer data collection forms and registries that suit field conditions, apply consent, privacy and data protection practices to farmer information, clean and combine datasets from mobile platforms, surveys and payment systems, and segment farmers and analyse engagement, retention and adoption patterns. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is aimed at those who build, manage or fund digital services for farmers, including: Agritech product and operations managers, Data analysts and data officers in agricultural programmes, Monitoring, evaluation and learning officers, Digital extension and advisory service coordinators, Cooperative, SACCO and farmer organisation managers, Agricultural lenders and insurers, Input suppliers and offtakers running outgrower schemes, and Donor and development agency programme staff.
Data and Analytics for Digital Agritech for Smallholders Training Course typically runs as 5 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 and Analytics for Digital Agritech for Smallholders 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 and Analytics for Digital Agritech for Smallholders starts October 26, 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 and Analytics for Digital Agritech for Smallholders Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Digital Agritech for Smallholders 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 and Analytics for Digital Agritech for Smallholders 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 and Analytics for Digital Agritech for Smallholders 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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VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.
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