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
Lec 02
Mon, Wed, Fri 11:30-12:20
Lab, pick one
Lab L01
Wed 13:30-15:20
Lab L02
Wed 15:30-17:20
Syllabus
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