College Disha

Data mining course 2024

Update on 17 Jul, 2024


5 min read

Data mining course 2024-here

Data Mining Course: Data mining is a field of computer science that is finding patterns in huge sets of data and extracting information from that data to predict business outcomes. Data mining is of prime importance in today’s technological world where any business record consists of large-scale data that must be analyzed for gaining more visibility and understanding future business patterns.

Data Mining Courses in India:

Data mining course in India has gained huge importance as it helps in increasing revenue and improving the productivity of a company. Data mining also cuts down business risks and reduces time-consuming tasks by using automated analysis to generate informed decisions.

Why are data mining courses is important in India?

Data mining has proved useful in all domains of industry like manufacturing, finance, telecommunications, Real Estate, Media, Healthcare, Retail, Supply chain, Hospitality, Information Technology, and Higher Education. Besides, Data mining courses in India encompass the important areas of data science that include Artificial Intelligence, Machine learning, Statistics, and Database knowledge discovery.

Given below are the importance of Data mining courses in India:

  • Data mining helps in analyzing unstructured data to create more visibility.
  • Data mining helps in predicting business outcomes and future business patterns.
  • Data mining helps in detecting anomalies in data and removing bad data to reduce business frauds.
  • Data mining helps companies to identify their prospective customers and determine their buying trends.
  • Data mining saves time and ensures long-term success for businesses.

Data mining courses in India involve interdisciplinary topics like Artificial Intelligence, Machine Learning, Business Intelligence, and Statistical algorithms. A Data mining specialist in India understands the patterns within large sets of data and gains actionable insights to predict future business insights.

Eligibility Criteria for Data Mining Course:

Data mining courses can be pursued at both the Undergraduate and Postgraduate levels. Candidates having specialization in the field of  Computer Science and Engineering mostly prefer this course. Other than this Data mining courses can also be pursued by candidates having a non-programming background.

Check out the eligibility criteria for the data mining course:

Level of the Candidate
Eligibility Requirements


Qualified Class 12 exam from a recognized Board with 50% marks.


Candidates having Maths as a subject in Class 12 Boards will be preferred.


Bachelor’s Degree from a recognized College or University with 50% marks.


Candidates having Maths as a subject in Graduation will be preferred.

Data Mining Course Syllabus:

The data mining course syllabus has been formulated in such a way that it will teach the students the basic concepts of data mining. Students also gain expertise in solving business-related problems by using data mining software. The data mining course syllabus includes data pattern discovery, data analytics, data cleaning, and data visualization. The data mining course syllabus also includes practical applications of the concepts and methodologies of data mining. This course equips the students with the different aspects of pattern discovery in large numbers of transactional data.

Along with the theoretical subject matter, the course matter also includes quizzes and assignments for students that will help them become specialized in the field of data mining.

A detailed view of the data mining course syllabus:

Topic- Introduction to data mining and data analytics

  • Goals of data mining
  • Stages of data mining
  • Applications of data mining
  • Techniques of data mining
  • Learning-related technologies in data mining- OLAP, Machine Learning and Statistics

Topic- Data preprocessing

  • Data transformation
  • Data cleaning
  • Data reduction
  • Weka 3 data mining system

Topic- Data warehouse and OLAP

  • Data warehousing
  • Multidimensional data models and OLAP operations

Topic- Algorithms of data mining

  • Analysis of correlations
  • Motivations and terminology of data mining
  • Item sets and rules in data mining
  • Experiments with Weka 3 data mining rules and association

Topic- Classification of data mining algorithms

  • Basic data mining tasks
  • Decision trees and covering rules
  • Experiments with Weka mining rules

Topic- Prediction of data mining algorithms

  • Statistical classification of data mining
  • Linear models
  • Bayesian networks
  • Statistical classification of Bayesian networks

Topic- Knowledge representation of data mining

  • Background knowledge of data mining
  • Representation of Input data and Output knowledge
  • Visualization techniques of data mining
  • Weka visualization- experiments

Topic- Attribute oriented analysis of data mining

  • Generalization and relevance of attributes
  • Statistical measures of attributes
  • Class comparison of attributes
  • Experiments with Weka filters and statistics

Topic- Association rules of data mining algorithms

  • Generating itemsets and rules
  • The basic idea of item sets
  • Correlation analysis
  • Experiments with Weka data mining- Association rules

Topic- Mining and clustering of real data

  • Basic problems in clustering and conceptual clustering 
  • Partitioning methods of data mining-  Maximization, expectation, and K rules
  • Applying data mining techniques  to create accurate models of data
  • Conceptual clustering and experiments with Weka- Cobweb, Em, and K means
  • Hierarchical methods and divisible clustering

Topic- Evaluation of data mining course

  • Combining multiple models in data mining- bagging, boosting, and tracking
  • Data mining- training and testing
  • Estimation and validation of classifier accuracy
  • Basic issues of data mining
  • Minimum description length principle

Topic- Advanced techniques and applications of data mining software

  • Classification and extracting knowledge from data mining
  • Data mining software and applications
  • Structural approaches to text mining
  • Classification of text based on Bayesian approach
  • Classification of web pages and extraction of knowledge from the web

The Data mining course syllabus has been designed in such a way that the students learn the basic concepts of data mining that will help them to solve industry-based problems.

Data Mining Course Duration:

The data mining course duration varies for online and offline courses. Normally the online courses are self-paced and the duration of the course is from 4 months to 6 months.

The online data mining course duration depends on the course modules and the Institutions that offer the course.

Let us now check the different data mining courses and their duration:

Name of the course
Conducting authority

Mining massive datasets

Stanford University

7 weeks

Cluster analysis in Data mining

University of Illinois- Urbana Champaign

4 weeks

Pattern Discovery in Data mining

University of Illinois- Urbana Champaign

4 weeks

Foundations of mining nonstructured Medical data

EIT Digital 

5 weeks

Text mining and analytics

University of Illinois- Urbana Champaign

6 weeks

Introduction to analytic thinking, data science, and data mining

University of California, Irvine

4 weeks

Mining quality prediction using Machine and Deep learning


1 week

Advanced-Data mining with Weka

University of Waikato

5 weeks

Business analytics and data mining modeling using R

Indian Institute of Technology, Roorkee

12 weeks

Data Mining 


4 weeks

From the above table, we see that the data mining course duration depends on the Universities and Institutes that offer the course. The course duration also depends on the subject matter and the modules of the course.

Data Mining Course Fees:

The data mining course fees are different for online and offline courses. Usually, the data mining course fees for the Online courses are much less than that of the offline courses. The course fees also depend on the Institutes offering the course, the modules of the course, and the duration of the course.

Let us now check the course fees for the top Data mining colleges in India:

Name of the College
Location of the College
Data Mining Course Fees

Vellore Institute of Technology


INR 1.6 Lac

361 Degree Minds


INR 59,800

IMS Institute of Management


INR 1.75 Lac

Indian Statistical Institute


INR 35,400

Medicaps University


INR 1.25 Lac

University of Technology


INR 2.2 Lac

Faculty of Engineering and Technology


INR 3.78 Lac

Online Data Mining Courses:

Online data learning courses are extremely popular as these courses are affordable and can be taken in a self-paced mode. The modules of these courses are well planned and help the students to gain knowledge and hands-on skills in Data mining.

The online data mining courses have a short duration and this helps the candidate to finish the course quickly and get ready for well-paid career prospects.

Online data mining courses equip a student with the tools and techniques in data mining that will help them to gain expertise in data analysis and understanding the patterns of large scale data. Normally the online data mining courses are self-paced and will teach the candidates to extract valuable insights from the data.

List of Online Data Mining Courses and their Fee Structure 2024-23:

Name of the course
Fee structure

Regression, Data mining, Text mining, and Forecasting using R

INR 6400

Data mining with R Beginner to advanced

INR 8640

Data mining with Rattle

INR 8640

Data mining

INR 3200

Information retrieval and mining massive data sets

INR 1280

Machine learning and data mining with Weka for Beginners

INR 2240

Data mining, clustering, and segmentation using R, Tableau

INR 3200

From the above table, it is clear that the online data mining courses have an affordable fee structure. Besides, these courses are self-paced and have well-designed learning modules. All these factors help the candidates finish the course easily and gain the required skills and expertise in Data mining.

Data Mining Course for Beginners:

These courses are meant for students who want to enhance their knowledge and skills in data mining. The data mining course for beginners is useful for both Graduate and Undergraduate students. The Data mining courses for beginners are mostly offered in the online mode and are either free of cost or affordable.

The Beginner course in data mining equips the aspirants with the required knowledge and skills of finding patterns in data, data exploration, analysis of unstructured data, and predictive data mining techniques. Besides the course modules consist of industry-based case studies that help the students with easy-to-follow course modules.

The data mining course for beginners helps to increase the knowledge and skills of the students who want to set up a professional career in data analysis and mining. The advantage of the data mining course for beginners is that most of these courses are delivered in the online mode and are self-paced. This flexibility helps the students to complete the course at their own pace and expand their data mining knowledge.

Salary after Data Mining Course :

Data mining has lucrative career prospects both in India and abroad. Data mining salary for freshers with little or no experience is an average amount of INR 3 Lac per annum.

Professionals with experience of 2 to 4 years will get an amount of INR 5Lac to INR 7 Lac per annum. Candidates with more than 10 years of experience will get an average salary of INR 12 Lac per annum.

The data mining salary depends on the skills and expertise of the candidate. Individuals with a Data mining Certification and hands-on experience will have better salary prospects than others.

Check out the Data mining salary of different companies:

Job Profile
Data Mining Salary

Data Mining Intern

Peacock Solar 

INR 10K to INR 12K per month

Data mining executive


INR 20K to INR 22K per month

Data mining Engineer 

Blitz Jobs

INR 15K to INR 16 K per month

Data Mining 

U Certify

INR 22K to INR 25 K per month

Data mining analyst 

Beyond Codes

INR 21K to INR 23 K per annum

Data mining analyst 

RBL Bank

INR 20K to INR 22K per month

Data Mining Executive


INR 18K to INR 20K per month

Data Mining Executive

Tech Manos

INR 12K to INR 15K

Data Mining job profile:

Data Mining professionals are in huge demand in recent times as they help in problem-solving and creating actionable insights for business. Data-driven decisions help in minimizing business risks by accurate prediction of customer behavior. This in turn adds to the increase in revenue and adding to the company’s profit.

Given below are some of the top job roles of a Data Mining Executive:

Data Engineers: They acquire and transform data build prototypes guided by Data Architects. They provide valuable business data for analysis.

Data Analyst:  A data analyst analyzes business data to deliver actionable insights. They build predictive business models on the basis of the data collected by them.

Database Administrator: A database administrator stores the company’s useful data so that it can be used by analysts for offering business solutions. The work responsibilities also involve debugging the data, recovering lost data, and continuous monitoring of the database for its error-free functioning.

Machine Learning Specialist: The job role of a Machine Learning specialist is to develop Machine learning applications, run Machine learning tests and experiments, design and include Machine Learning libraries and frameworks.

The job roles of a Data Mining specialist are many depending upon the needs of the business and develop efficient solutions. The main role of a data mining specialist is to analyze the organization’s business data and provide insights that will help in predicting and forecasting sales to obtain future goals.


In today’s data-rich world the role of a Data Mining specialist in business is varied. A Data Mining specialist will analyze and mine an organization’s business data to provide actionable insights. The requirements of a Data Mining specialist are the skills to find patterns in business data to design and develop Dashboards and Reports. The career prospects of a Data Mining specialist are many as the main responsibility is to analyze a company’s unstructured data to minimize error and increase revenue.

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