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
Progress at your own speed
Free
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Starts May 2
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:Computer Science, Soil Science, Foods, Apache Hadoop, Hadoop Distributed File System (HDFS), Python (Programming Language), Data Processing, Written Composition, Innovation, Management, Information Technology, Animal Science, Data Collection, Precision Agriculture, Big Data, Artificial Intelligence, Machine Learning, Deep Learning, Pesticides, Data Management, Apache Spark, Research, MapReduce, Immutability, Fertilizers, Decision Making, Data Science, Agriculture, Scalability
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