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Agriculture and Agribusiness Sustainability

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.

Upcoming live online sessions

Live Online

Nov 9 – 20, 2026

$1,700

Register

Live Online

Dec 7 – 18, 2026

$1,700

Register

Live Online

Jan 4 – 15, 2027

$1,700

Register

Live Online

Feb 1 – 12, 2027

$1,700

Register

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.

More about live online training →
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
Read the full programme: outline, methodology, who should attend and certification →

Who It Suits

  • Teams spread across several countries
  • Participants who cannot travel
  • Organisations training staff in several offices at once
FAQ

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.

Still have questions about Live Online Data Analytics for Agriculture and Farming Training? Chat with an advisor·Visit the full FAQ

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