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  • IABAC®  Global Certification
  • 3-Month Course
  • 5 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IBM® & IABAC® Certification
  • 1 Year Access To Elearning
  • 5 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support


In - Person Classroom Training


  • IABAC®  Global Certification
  • 3-Month Course
  • 5 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance


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Why DataMites Infographic


Introduction to R:

  • Installing R
  • Installing R Studio
  • Creating Objects in R
  • Creating Arrays
  • Creating Data frames
  • Use of Structure
  • Dimensions
  • Loading CSv files, Foreign packages into R

Data Manipulation with R:

  • Loading vectors in R
  • Combining to vectors in R
  • Cleaning Data with R, Swapping Data, Sorting Data, Converting unstructured to structured data, usage of sub, gsub, regexpr, gregexpr, apply, lapply, sapply

Data Visualization with R:

  • Usage of Plot, lines, boxplot, stars, barplot, pie, hist, rug, sunflowerplot, various color of histograms, tabplot, ggplot2, maptools and extracting data from URLs

The following topics are covered in "Machine Leaning"


Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies


Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies

The topic covered in "Text Mining" are

Text Mining:

  • Introduction to Text Mining concepts
  • Sentiment Analysis with R/li>
  • Positive and Negative Word Cloud
  • Case study on Sentiment analysis

Advanced Regression

  • Theory Behind Advanced Regression
  • Advanced Regression with R
  • Working on Case Study

Web Analytics:

  • Theory behind Web Analytics
  • Working on Case Study




A data mining course in India opens doors to lucrative career opportunities in fields such as data analysis, business intelligence, and machine learning, meeting the growing demand for skilled professionals adept at extracting valuable insights from vast datasets. The 2022 global data mining tools market reached $900.7 million, and it is anticipated to expand from $1,005.9 million in 2023 to $2,400 million by 2030, demonstrating a compound annual growth rate (CAGR) of 13.2% throughout the forecast period according to a Fortune Business Insight report. Moreover, the salary of a data mining in India ranges from INR 44,324 per year according to a Glassdoor report.

DataMites stands as a globally recognized training institute, distinguished for its all-encompassing Data Mining course in India. This comprehensive program, spanning three months, integrates specialized modules in Python Programming, Data Science Packages, and Data Mining Techniques. Students benefit from a year of Elearning materials access and the option to engage in either five capstone projects or one client project. Accredited by esteemed organizations like IABAC, FutureSkills, and NASSCOM, the course guarantees internship and placement assistance, ensuring students stay abreast of industry trends.

DataMites highlights essential components of its Data Mining Course in India, encompassing key features such as:

  1. Ashok Veda and Faculty: Guided by Ashok Veda, founder of Rubixe AI startup, DataMites boasts a faculty comprising seasoned professionals with a collective mentorship experience exceeding 20,000 students. Their extensive industry knowledge and active involvement in research enrich the learning experience.
  2. Course Curriculum: Datamites crafts a thorough curriculum underpinned by fundamental concepts, techniques, and tools in data mining. This encompasses essential topics like data preprocessing, exploration, classification, clustering, association rule mining, and evaluation techniques
  3. Online or Classroom Training: Datamites provides flexibility in training with options for both online and classroom data mining training in India formats. Online courses offer accessibility from anywhere, while classroom sessions offer a more interactive, face-to-face learning experience with instructors.
  4. Accreditation and Recognition: Datamites Data Mining courses in India hold accreditation and recognition from esteemed organizations in the field, including IABAC, FutureSkills, and NASSCOM.
  5. Internship and Placement Assistance: Datamites offers a comprehensive Data Mining course in India, inclusive of internships and placement support for practical industry exposure, enabling students to apply their knowledge in real-world scenarios.
  6. Affordable Price: Datamites ensures affordability with its data mining course fee in India of INR 21,000 for live virtual training and INR 13,000 for blended learning in the Data Mining course. Classroom training is also available starting from INR 26,000.
  7. Hands-on Projects: Datamites integrates hands-on projects into the course, enabling students to apply data mining techniques to real-world datasets, solving practical problems and gaining valuable experience.
  8. Certification: Upon course completion, Datamites issues a Data Mining Certification in India, serving as evidence of students' proficiency in data mining and enhancing their prospects for career advancement and job opportunities.

The scope of data mining in India is expanding rapidly, with increasing demand across industries for skilled professionals who can leverage data analytics to extract valuable insights and drive informed decision-making, making it a promising field for career growth. Enroll in the DataMites data mining training institute in India to acquire comprehensive expertise in the field.

Datamites provides offline data analytics courses across multiple cities, including Bangalore, Nagpur, Ahmedabad, Pune, Mumbai, Hyderabad, Delhi, Kolkata, Chennai, Bhubaneswar, Kochi, and Vijayawada.


Data mining involves the exploration and analysis of extensive raw data to uncover patterns and extract valuable insights. Businesses leverage data mining software to gain deeper insights into their customer base, aiding in the development of more efficient marketing strategies, boosting sales, and reducing costs.

Data mining involves uncovering anomalies, patterns, and correlations within extensive datasets to anticipate outcomes. Employing a diverse array of techniques, this information can be harnessed to enhance revenues, reduce costs, cultivate customer relationships, mitigate risks, and achieve various other benefits

STATISTICA Data Miner organizes the modeling screen into four primary stages of data mining: (1) acquiring data; (2) cleaning, preparing, and transforming data; (3) analyzing, modeling, classifying, and forecasting data; and (4) generating reports.

To be eligible for admission to the Postgraduate Program in Data Mining, candidates must possess a bachelor's degree from a recognized university in science, computer engineering, or a BTech degree.

Data mining specialists represent a specific expertise within the expansive realm of data science careers, which is currently one of the fastest-growing fields worldwide. According to the U.S. Bureau of Labor Statistics, there is a projected 36% growth in data science occupations anticipated through the year 2031.

Understanding data mining is commonly seen as a complex endeavor. Nevertheless, acquiring proficiency in this crucial field of data science is more manageable than it may initially seem.

Data specialists need statistical knowledge and some programming language knowledge to complete data mining techniques accurately. For instance, here are some examples of how companies have used R to answer their data questions.

Consequently, SQL Server is currently employed for conducting Data Mining tasks as it incorporates data necessary for making predictions. Nowadays, rather than relying on programming languages such as Python and R, you can utilize SQL for the collection, filtering, and analysis of data, fostering business growth.

In essence, the practice of data mining necessitates the amalgamation of methodologies from various fields, encompassing statistics, mathematics, machine learning, database technology, data visualization, pattern recognition, signal processing, information retrieval, and high-performance computing.

The collaboration between data mining and AI is pivotal in driving positive impacts on your data-related initiatives, consequently benefiting your organization as a whole.

Tools for data mining encompass robust statistical, mathematical, and analytic functionalities designed to sift through extensive datasets, aiming to discern trends, patterns, and relationships. Their core objective is to facilitate informed decision-making and strategic planning.

Python stands out as an exceptional option for data mining owing to its qualities as a general-purpose, high-level, and dynamic programming language that accommodates various paradigms, including object-oriented, functional, and procedural programming.

The salary of a data mining in India ranges from INR 44,324 per year according to a Glassdoor report.

Essentially, machine learning (ML), artificial intelligence (AI), statistical analysis, and data management represent essential components of data mining, vital for the examination, categorization, and preparation of data for analysis.

Gregory Piatetsky-Shapiro introduced the term "knowledge discovery in databases" during the inaugural workshop on the subject (KDD-1989), gaining traction in AI and machine learning circles. Nevertheless, the term "data mining" gained more prominence within business and press communities.

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DataMites is a reputable training institute specializing in comprehensive Data Mining courses in India, providing industry-relevant training and practical exposure for individuals to develop skills in data analysis, mining, and extraction.

Instructors at DataMites are highly experienced professionals with expertise in Data Mining and related fields, possessing extensive industry knowledge and adept teaching methodologies for high-quality training.

Basic knowledge of statistics, a fundamental understanding of programming concepts, and familiarity with databases and data handling are recommended prerequisites for enrolling in Data Mining courses in India at DataMites.

DataMites' Data Mining course in India is meticulously structured to provide a step-by-step learning experience, covering theoretical concepts and practical applications of Data Mining techniques for a holistic understanding of the subject.

The Data Mining course curriculum at DataMites encompasses various topics, including data preprocessing, exploration, association rule mining, classification, clustering, regression, text mining, and may include advanced concepts such as ensemble learning and deep learning.

Certainly, DataMites places a strong emphasis on hands-on learning by integrating practical exercises and projects into their Data Mining course. These activities allow participants to apply their knowledge in real-world scenarios.

DataMites leverages industry-standard tools and software, including R, Python, Weka, RapidMiner, and SQL, to equip participants with proficiency in data analysis, modeling, and visualization.

Through practical assignments, projects, and case studies mirroring real-world scenarios, DataMites supports students in effectively applying Data Mining techniques. Instructors offer guidance throughout the course, ensuring practical skill application.

The Data Mining course at DataMites spans 3 months, including 5 capstone projects and 1 client project.

Absolutely, DataMites awards data mining certifications in India upon successful completion the course, validating participants' expertise and enhancing their career prospects.

Certainly, DataMites offers career support and job placement assistance post-course completion. This includes resume building, interview preparation, and facilitating connections with job opportunities in relevant industries.

Yes, DataMites provides classroom learning options for the Data Mining course in India. Students can opt for self-paced learning or participate in instructor-led online classes, offering flexibility to accommodate individual schedules.

DataMites ensures accessibility by offering an affordable course fee for the Data Mining course in India. The live virtual training starts at Rs 34,000, while the blended learning option begins at Rs 20,000. Classroom training is available from Rs 42,000.

DataMites accepts various modes of payment, including Net Banking, Check, Cash, Debit Card, Credit Card, PayPal, Visa, Mastercard, and American Express.

Opting for DataMites for a Data Mining course is a prudent choice due to its comprehensive curriculum, experienced trainers, and practical approach. This equips students with the knowledge and skills required to excel in the field, enhancing their career prospects in the data mining industry.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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