Live Online Data Analytics for Agriculture and Farming Training
Live online, instructor-led · next cohort Nov 9, 2026 · from USD 1,700
Farms and agribusinesses generate records on planting, inputs, yields, labour and sales, but most of that information never informs the next season's decisions. The ten days start by mapping the farm data landscape and the questions that matter, such as which fields, crops or herds actually make money. You then design field-ready collection routines using paper forms, mobile tools and simple record templates that workers will keep up. Cleaning sessions show how to structure, validate and combine production and market records into reliable datasets.
Spreadsheet analysis covers yield per hectare, production trends, cost of production, gross margins and input efficiency. Market and price modules examine seasonal price patterns, buyer data and timing of sales. Later work applies basic forecasting to anticipate harvests, input needs and price shifts, and builds dashboards that track yield, cost and revenue over time. Farm managers, agronomists, extension officers, cooperative staff, agribusiness analysts and agricultural lenders will find the exercises grounded in real farming situations. You leave able to turn routine farm records into clear recommendations for owners, boards and financiers.
At a Glance
How Live Online Training Works
Every course in the catalogue can be taken as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, with discussion, exercises and group work, and a certificate on completion. There is no travel or accommodation to arrange, so it suits individuals and teams spread across countries.
Online cohorts follow the same Monday-to-Friday format as classroom courses, at lower fees. An organisation can also book any course as a private online programme for its own team.
- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Nov 9, 2026, Dec 7, 2026, Jan 4, 2027
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
The Programme
What the Course Covers
- 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
- Use spreadsheet and visualization tools to communicate data-driven recommendations
- Identify data quality issues and correct them before they distort analysis
- Compare performance across farms, plots, or seasons using structured metrics
- Translate analytical findings into practical recommendations for farm managers and cooperative leaders
- Establish a sustainable, low-cost data collection routine suited to field conditions
Day by Day
- 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
Who It Suits
- Teams spread across several countries
- Participants who cannot travel
- Organisations training staff in several offices at once
Choose Where You Want to Learn
Data Analytics for Agriculture and Farming Training Venues
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Frequently Asked Questions About Live Online Data Analytics for Agriculture and Farming Training
Everything you need to know about this course before you register.
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.
Yes — delegates who meet the attendance requirement receive a 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.
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