Data Mining Tutorial

Data Mining is a sub-field in computer science. The traditional database can query limited information from the database using SQL. At best, you can write complex queries and get results.

When the size of the database grow the traditional DBMS does not help.

The goal of data mining is to extract meaningful information from a large data set and present it in a useful and understandable manner.

Why to learn Data Mining?

Data mining has become very important in last few years because there has been an exponential increase in data from various sources and also, the data storage technology is also improving day-by-day.

Business Organizations and various institutions are interested in discovering interesting information from their huge data-sets. There is a huge demand for data mining, big data and data analytics professionals.


This tutorial is intended for learner interested in Data Mining. There are a few prerequisites before you start learning from this tutorial.

  1. Basic knowledge of DBMS and SQL
  2. Discrete Mathematics and Basic Statistics
  3. Basic knowledge of Algorithms

Learn DBMS from following link.


DBMS Exercises

The tutorial is focused on the process of discovering data patterns which includes

  1. Selection
  2. Preprocessing
  3. Transformation
  4. Data Mining
  5. Interpretation or Evaluation


Apart from our data mining tutorial, learn data mining from other resources like books, video lecture and forums like Stack exchange. Forums are good because you can ask questions to experience community members.

Book are also good resource if you are a beginner or at intermediate level learner. They are like personal guide and you can refer to them all the time. We recommend following books which you can get them from amazon. Do read the reviews before you decide to get them.


amazon dataminging1
amazon datamining2

Data Mining Topics