This ten-day program teaches agriculture professionals to collect, clean, and interpret farm and market data using spreadsheets, dashboards, and forecasting tools, turning routine records into decisions on planting, inputs, and pricing.
Farming decisions were once made mostly on instinct and experience, but rising input costs, unpredictable weather, and tighter margins now reward operations that can read their own numbers. This ten-day course introduces agriculture and agribusiness professionals to practical data analytics: organizing farm and market records, cleaning yield and cost data, building simple dashboards, and applying forecasting techniques to anticipate harvest volumes, input requirements, and price movements. Participants work with real datasets drawn from crop production, livestock records, and market price trends, using tools ranging from spreadsheet-based analysis to introductory visualization methods suited to a farm or cooperative's actual data environment.
Through hands-on exercises, participants design data collection systems that smallholder and commercial operations can sustain, interpret trends without needing a data science background, and communicate findings to farm managers, cooperative boards, or donor partners. By the end of the course, participants leave with a working analytics framework, a dashboard template, and the confidence to turn routine farm records into evidence for better planting, pricing, and investment decisions.
By the end of this course, participants will be able to:
Day 1: Farm Data Landscape and Analytical Questions
Day 2: Designing Field-Ready Data Collection Routines
Day 3: Structuring and Cleaning Farm Datasets
Day 4: Spreadsheet Analysis for Yield and Production
Day 5: Cost, Margin, and Input Efficiency Analysis
Day 6: Market and Price Data Analysis
Day 7: Dashboards for Yield, Cost, and Revenue
Day 8: Forecasting Harvests, Inputs, and Prices
Day 9: Benchmarking Farms, Plots, and Seasons
Day 10: Communicating Findings and Sustaining the System
Data Analytics for Agriculture and Farming serves people who already hold farm production, input, and market records and now need to turn them into planting, pricing, and procurement decisions. It suits:
Participants who complete all ten days are awarded a Certificate of Completion from Vision Reach Global Consultancy, confirming they can build clean farm and market datasets, construct yield, cost, and revenue dashboards, apply basic forecasting, and convert analysis into practical recommendations for farm managers and cooperative leaders.
Everything you need to know about this course before you register.
By the end of the Data Analytics for Agriculture and Farming Training programme, you'll be able to build and maintain clean, structured datasets from farm production and market records, design dashboards that track yield, cost, and revenue trends over time, apply basic forecasting techniques to anticipate harvests, input needs, and price shifts, and use spreadsheet and visualization tools to communicate data-driven recommendations. The full breakdown of topics is covered session by session in the Course Outline tab above.
Data Analytics for Agriculture and Farming serves people who already hold farm production, input, and market records and now need to turn them into planting, pricing, and procurement decisions. It suits: Farm managers and estate production supervisors accountable for yield and cost per hectare, Agricultural cooperative officers handling member delivery, grading, and payment records, Agronomists and extension officers advising growers on inputs and seasonal planning, Agribusiness M&E and data officers maintaining production and market datasets, Commodity buyers, aggregators, and market information officers tracking price movements, Value chain and food security programme staff reporting on farmer performance, and Irrigation scheme and outgrower programme coordinators comparing plots and seasons.
Data Analytics for Agriculture and Farming 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.
Data Analytics for Agriculture and Farming Training is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, 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.
Data Analytics for Agriculture and Farming Training runs on a rolling cohort basis, so a new intake is always coming up. Pick your preferred format and location in the schedule panel above, then click "Register for the Course" to reserve your seat — confirmation follows once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Data Analytics for Agriculture and Farming Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data Analytics for Agriculture and Farming 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.
Fees for Data Analytics for Agriculture and Farming Training 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 Analytics for Agriculture and Farming Training 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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