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
Optional upgrade available
There is one session available:
After a course session ends, it will be archivedOpens in a new tab.
Starts May 1
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:Scalability, Data Processing, Data Science, Apache Hadoop, Fertilizers, Precision Agriculture, Written Composition, Decision Making, Research, Deep Learning, Management, Data Management, Information Technology, Apache Spark, Big Data, Artificial Intelligence, Hadoop Distributed File System (HDFS), Data Collection, Python (Programming Language), Machine Learning, Agriculture, MapReduce, Innovation, Animal Science, Immutability, Pesticides, Foods, Computer Science, Soil Science
Interested in this course for your business or team?
Train your employees in the most in-demand topics, with edX For Business.