Data Mining Training in Heathrow

Who should attend this Data Mining Training?

The Data Mining Course is tailored to impart knowledge on the process of extracting patterns, correlations, and information from large amounts of data stored in databases, data warehouses, or other information repositories. This course can be beneficial for various professionals aiming to derive insights from data, including:

• Data Scientists
• Business Analysts
• Database Administrators
• Marketing Analysts
• Researchers
• Statisticians
• Machine Learning Engineers

Prerequisites of the Data Mining Training

There are no formal prerequisites required for attending this Data Mining Course. Although, a prior understanding of IT concepts can be helpful.

Data Mining Training Course Overview

Data Mining is the method of detecting patterns in large data sets by making use of statistics, Machine Learning and database systems. It includes analysing large amounts of data and converting it into useful information. The insights gained from Data Mining can be used for fraud detection, marketing, scientific discovery, etc.

This course will provide delegates with extensive knowledge on Data Mining. This course will cover the main concepts of Data Mining, including data objects, data visualisation, measuring data similarity, and data preprocessing. Delegates will also learn about data transformation and data discretisation. Data warehousing and online analytical processing will also be crucial concepts of this course, including basic data warehousing concepts, data cube, and OLAP.

In addition, this 2-day training course offered by The Knowledge Academy will cover mining frequent patterns, associations, and correlations including pattern evaluation methods. Delegates will acquire knowledge on advanced pattern mining that comprises constraint-based frequent pattern mining, mining high-dimensional data and colossal patterns, and pattern exploration and application. By the end of this course, delegates will have gained comprehensive knowledge on classification methods, cluster analysis, and outlier detection.

Course Objectives

• To comprehend Data Mining concepts and its practical applications
• To acquire data preprocessing skills for effective analysis
• To grasp data transformation and discretisation techniques
• To understand data warehousing and Online Analytical Processing (OLAP)
• To become proficient in frequent pattern mining and associations
• To develop expertise in advanced pattern mining, classification, clustering, and outlier detection

Upon completing this Data Mining Training Course, delegates will gain advanced skills in extracting valuable insights from large datasets, enhancing their ability to make informed business decisions. Additionally, the course equips them with practical knowledge of cutting-edge data mining techniques.