Data Mining & Predictive Analytics 1 هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Why do people buy ice in winter? Why do people buy crisps and pencils together? Given enough data, any strange question can have an answer, and more importantly these observations, extracted from big data, can inform important business decisions and opportunities. This course is aimed at learners with no previous experience with data mining.

Programme Aims and Objectives

This module aims to introduce the learner to the area of data mining and predictive analytics by providing real world examples of problems that can be encountered and how they can be solved using currently available software packages.

On completion of this course, students will have acquired the skills to:

• Assess the needs of a customer’s data mining and prediction needs
• Assess available data sources to utilise
• Develop a robust process to clean data and extract quality data
• Run leading edge software on the data to identify patterns and predict outcomes
• Document and visualize the findings to inform the business.

Programme Content

The programme is delivered through tutor led classes, concentrating on labs and hands on skills.

Topics Covered:

• Introduction to data mining life cycle
• Data pre-processing & quality assessment, filtering noise and data cleansing
• Feature selection
• Integrating data sources into your data mining process
• How data mining can be applied to business scenarios
• Process modelling RapidMiner