Description

Data Mining is defined as the procedure of extracting information from huge sets of data. In other words, we can say that data mining is mining knowledge from data. The tutorial starts off with a basic overview and the terminologies involved in data mining and then gradually moves on to cover topics such as knowledge discovery, query language, classification and prediction, decision tree induction, cluster analysis, and how to mine the Web.

This tutorial has been prepared for computer science graduates to help them understand the basic-to-advanced concepts related to data mining.

Before proceeding with this tutorial, you should have an understanding of the basic database concepts such as schema, ER model, Structured Query language and a basic knowledge of Data Warehousing concepts.

What you'll learn

Become a UX designer.

You will be able to add UX designer to your CV

Become a UI designer.

Build & test a full website design.

Create your first UX brief & persona.

How to use premade UI kits.

Create quick wireframes.

Downloadable exercise files

Build a UX project from beginning to end.

Learn to design websites & mobile phone apps.

All the techniques used by UX professionals

You will be able to talk correctly with other UX design.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

Data Mining Tutorial
Data Mining Overview
Data Mining Tasks
Data Mining Issues
Data Mining Evaluation
Data Mining Terminologies
Data Mining Knowledge Discovery
Data Mining Systems
Data Mining Query Language
Data Mining Decision Tree Induction
Data Mining Bayesian Classification
Data Mining Cluster Analysis
Data Mining Mining Text Data
Data Mining Applications & Trends
Data Mining Themes
DM Useful Resources
Data Mining Quick Guide
Data Mining Useful Resources

Instructor

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W3edify Infotech

President of Sales

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