WageningenX: Big Data for Agri-Food: Principles and Tools
As the big data era unfolds, developments in sensor and information technologies are evolving quickly. As a result, science and businesses are yielding enormous amounts of data. Ideally this data provides valuable insights for decision-making in real time. But processing data the traditional way is no longer possible. Join Wageningen University & Research, #1 university Animal Sciences and Agriculture, and learn how to best handle big data sets. Enrol now.
6 weeks
6–10 hours per week
Self-paced
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Starts Apr 23
Big Data for Agri-Food: Principles and Tools
At a glance
- Institution: WageningenX
- Subject: Data Analysis & Statistics
- Level: Intermediate
- Prerequisites:
A university education and/or working knowledge of math and science and, of course, being a computer science enthusiast will help a lot!
- Language: English
- Video Transcript: English
- Associated skills:Decision Making, Apache Hadoop, Data Collection, Research, Python (Programming Language), Data Processing, Information Technology, Hadoop Distributed File System (HDFS), Precision Agriculture, Fertilizers, Scalability, MapReduce, Foods, Written Composition, Computer Science, Data Management, Data Science, Innovation, Machine Learning, Animal Science, Soil Science, Agriculture, Immutability, Big Data, Apache Spark, Management, Pesticides, Deep Learning, Artificial Intelligence
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