Data mining is the process of digging through different data types and data sets to discover hidden connections between them. In today's world, it has become a fundamental part of data analytics and data science. The information it generates can be used in business intelligence and advanced analytics for planning business strategies and managing operations.

The concept of data mining consists of several steps, and in this crash course, we will demonstrate how data mining is used in feature selection, connecting different data attributes, data aggregation, data exploration, and data transformation. Apart from transformational attributes, we will also cover the importance of checking data quality, reducing data noise, and visualizing the data to demonstrate the importance of good data.

Table of Contents:
00:00:00 – Introduction
00:01:30 – Data and Data Types
00:23:52 – Data Quality
00:33:40 – Data Preprocessing
01:00:49 – Similarity and Dissimilarity
01:11:49 – Data Exploration & Visualization

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