AREC 262

Agricultural Data Analytics II

Lec 02 and Lab L01 selected

The second course in the agricultural data analytics sequence will build on the foundations developed in AREC 261. Students will deepen their proficiency in data analysis, and develop further skills in regression modeling, managing extensive datasets, machine learning techniques, forecasting, and causal evaluation. Through these topics, students will be exposed to the frontiers of agricultural data analysis.

Sections

Lecture
Lab, pick one

Syllabus

Have the syllabus for AREC 262? Share it and everyone gets the grading, textbooks and rules.