Data Mining Course: Fees, College, Training, Course Details, Duration & Scope
College Disha

Data mining course

19 Apr,2021


5 min read read

Introduction to data mining course


Data mining is a field of computer science which 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 courses in India have 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 in India important?


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 includes 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 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.


Post graduate

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 the data mining software.


The data mining course syllabus includes data pattern discovery, data analytics, data cleaning and data visualization. Data mining course syllabus also includes practical application 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

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 non structured 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,Roorke

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 at 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


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 are 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.


Data mining salary 


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 an 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 helps 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 Engineer- 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 the 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 framework.


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 prediction and forecasting the 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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