Big Data Analysis - tools and methods

Big Data is omnipresent from industries to government and is frequently considered a completely new approach to problem solving. While the possibilities are often exaggerated, Big Data does indeed introduce new opportunities and challenges. The ability to analyse and combine large data from different sources has obvious applications, nonetheless, the lack of quality in the data combined with a high variance means that conventional analysis often fails.

What you will learn

By completing the course you will be able to set up basic Big Data Analysis end-to-end; from retrieving and cleaning the data, to establishing the information level and extracting patterns and finding outliers and to curate the necessary data. You will get acquainted with a number of advanced tools like: Data cleaning, statistical methods for very large datasets, data stream analysis and finding patterns and outliers in Big Data, collecting data from instruments and devices (i.e. internet of things) and hardware systems design for efficient BDA.

Course Content

We will use a few structured datasets consistently throughout the course, which illustrate the commerce and will be used to demonstrate the different steps in Big Data Analysis.

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