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 26
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:Artificial Intelligence, Animal Science, Data Processing, Data Collection, Innovation, MapReduce, Agriculture, Fertilizers, Python (Programming Language), Apache Spark, Immutability, Soil Science, Written Composition, Apache Hadoop, Precision Agriculture, Research, Scalability, Management, Computer Science, Foods, Information Technology, Data Management, Hadoop Distributed File System (HDFS), Machine Learning, Data Science, Deep Learning, Decision Making, Pesticides, Big Data
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