Agricultural Data Analysis

Analyse trial and farm data to a standard others will trust.

What the course covers

8 modules, 32 topics. Open any one to see what sits inside it.

1. 1.1 The data a farm and a trial actually generate
2. 1.2 Questions data can answer, and questions it cannot
3. 1.3 Units, scales and the problem of aggregation
4. 1.4 A reproducible workflow
1. 2.1 Importing from machines, sensors and trials
2. 2.2 Cleaning yield and sensor data
3. 2.3 Outliers, gaps and sensor failure
4. 2.4 Joining data across sources and seasons
1. 3.1 Summarising trial and field data
2. 3.2 Visualising variation inside a field
3. 3.3 Time series across a season
4. 3.4 Comparing sites and years
1. 4.1 The designs used in agriculture
2. 4.2 Analysis of variance for field trials
3. 4.3 Blocking, replication and error
4. 4.4 Reporting a trial result properly
1. 5.1 Yield response curves
2. 5.2 Multiple regression with agronomic data
3. 5.3 Non-linear responses and optima
4. 5.4 Interpreting a coefficient agronomically
1. 6.1 Why field data is spatially correlated
2. 6.2 Mixed models for multi-site trials
3. 6.3 Spatial analysis of yield maps
4. 6.4 Combining seasons and locations
1. 7.1 Forecasting yield
2. 7.2 Machine learning on farm data
3. 7.3 Validation and overfitting when the dataset is small
4. 7.4 Communicating a prediction with its uncertainty
1. 8.1 Turning a result into a recommendation
2. 8.2 The economics behind an agronomic result
3. 8.3 Presenting to farmers, and to industry
4. 8.4 Data ethics and farmer confidentiality

By the end of this course you will be able to explain and apply:

Two hours, not two months Eight short modules. Finish in a day, or do one module a night for a week.

Depth beyond your coursework Pitched above taught content, for research, leadership and the work that follows the degree.

Built for a phone Watch on the bus, pause mid-module, pick up where you stopped. No download, no lab.

A certificate that can be checked Every certificate carries an ID your college or an employer can verify on our site.

Master's Degree students in India
Studying: M.Sc. Agriculture, M.Tech Food Technology, M.Sc. Environmental Science
Recent graduates strengthening a CV
Anyone working in this field without a formal qualification

About two hours in total — eight modules of roughly fifteen minutes. You can do it in one sitting or spread it across a week. Your place is saved either way.
No. There is no prerequisite course and no software to install. A phone, tablet or computer with an internet connection is enough.
Yes. This course is placed at Master's Degree for India, and the content is written for that level. If you are at a different stage, change your level at the top of the page and the courses will change with it.
A certificate for the course, carrying an ID that your college or an employer can check on our verification page. You keep access to the material afterwards.
Yes — ₹450 for this course on its own, or ₹1,450 for all five in this set, which works out cheaper if you want more than one.
There is a short quiz at the end of each module so you can check what stuck. It is not timed and you can retake it.
Change your country using the picker at the top. Level names, degree names and prices all switch to that country, and the courses adjust to its education system.

Wording shown for India. Pick a different country at the top and the terms, currency and programme names change with it.