University of Illinois at Urbana-Champaign via Coursera
Many datasets can provide solutions to important problems and inform decisions. However, the size, complexity, quality and diversity of these datasets make them difficult to process and analyse. Join us and we’ll share new technological or methodological solutions you can use to meet the demand for analytics in your field.
We will introduce big data and some of the statistical and mathematical approaches for analysing it. Then we explore the power of big data and the process of getting from data to decisions before you use some of the tools available for storing and managing large datasets.
Our 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.
The course includes optional, practical exercises designed to help you become familiar with some of the current tools used in big data analytics. If you would like to try the exercises you will need to install Cloudera, an open source platform for data management and analytics. We will email you detailed instructions explaining how to access a trial version and set up a virtual machine before the course starts.
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.