Data is everywhere and can be obtained from many different sources. Digital data can be obtained from social media, images, audio recordings and sensors, and electronic data is quite often available as real-time data streams.
Many of these datasets have the potential to provide solutions to important problems, and advice in making decisions in health, science, sociology, engineering, business, information technology, and government.
However, the size, complexity, quality and diversity of these datasets often make them difficult to process and analyse using standard statistical methods, software or equipment.
Take a unique, multi-faceted approach to big data
For this reason, we use new technological or methodological solutions. Join us for this free online course and we’ll share these with you using our unique, multi-faceted approach to big data. We’ll show you how you can meet the demand for analytics in your field.
After a brief introduction to big data and an overview of some of the statistical and mathematical approaches for analysing it, we’ll explore real-world case studies. These will demonstrate the power of big data and, most importantly, the process of getting from data to decisions.
Then we’ll give you an overview of some of the tools you can use for storing and managing large datasets.
More courses in the Big Data series
This is the first in a series of four short courses from the ARC Centre of Excellence for Mathematical and Statistical Frontiers at Queensland University of Technology (QUT).
REQUIREMENTS
This course is open to anyone with an interest in big data and is essential if you’re looking to add big data analytics to your skill set. A basic knowledge of software engineering, statistics and mathematics will help you gain the most from this learning experience.
In this course, you will be using Cloudera CDH, an open source platform for data management and analytics. Visit the Cloudera CDH download page for information on system requirements.
——————来源于FutureLearn
