CS X201.2 - Data Analytics Technologies

Course Description

This module covers the basic concepts of statistics needed to understand the critical concepts of data mining, machine learning, and predictive analytics used in the visualization of analysis of data, particularly Big Data. Big Data is the term used for a collection of structured and unstructured data sets so large and complex that it is difficult to process using the commonly available relational database management systems and statistical software packages. Data mining is the process of discovering useful patterns and trends in large data sets. Predictive analytics is the process of extracting information from large data sets in order to make predictions and estimates about future outcomes. You will gain an understanding of:

• data preparation
• process models used in analytics
• algorithms and their requirements
• the implementation of algorithms using current technologies
• their applicability to different types of scenarios

You will also gain advanced practical skills in the design, implementation, and evaluation of analytical solutions to problems involving Big Data.

Applies Towards the Following Certificates

• Big Data Technologies : Required