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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic






DataMites Data mining training is a growing demand on the market as the world is generating data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks.

Data mining is a very deep topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you’ve learned in R. This course covers each and every condition of data mining in order to prepare you for real-world problems. You'll come to understand the different disciplines in data mining. In every discipline, there exist a variety of different algorithms. At least one algorithm of the various classes of algorithms will be covered to give you a foundation to further apply your knowledge to dive deeper into the different flavors of algorithms.


R Language , originally designed for Statistical computing in 1990's , is now a popular platform for Data mining. Data mining has to do with exploring and discovering insights from the data. Data mining involves, statistics, data mugging and machine learning to achive this desired insights.

"Data Mining with R", is designed for candidates with or without programming skills, with basics of Data importing, Data mugging and coding Machine Learning algorithms along with effective programming techniques.

The objective of this course is to provide the fundamentals of R programing and introduce Data Science concepts and Machine Learning.


  • R Fundamentals : Understanding R syntax, data types, operators, conditional statements, functions. Writing simple R scripts for Data Science
  • Data Science essentials: Understand core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with R packages
  • R for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using R machine learning packages.

This course is at intermediate level, so most Data Science aspirants can opt for Data Mining with R


  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

R is the most popular programming language in Machine Learning and Deep Learning alorithms as on Today. A quick search in reveals about 20,000 open job opportunities in USA alone as a day average in year 2017 for R professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Data Mining with R with real world Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.

There is no such prerequisite to be fulfilled from your side to learn R programming. However, a basic programming language can be helpful.

In recent years, R gained popularity for Machine Learning. This course provide the advantage of cutting complexity of R Language and focus on learning Data Mining with R in most efficient and effective manner to become R Data Science developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.


  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, R, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.

Data mining is the process of extracting valuable insights and patterns from large datasets using various techniques such as machine learning, statistical analysis, and pattern recognition.

Data mining provides several benefits, including discovering hidden patterns and relationships, making predictions and forecasts, identifying trends, improving decision-making, and gaining a competitive edge in business.

There are various techniques used in data mining, such as clustering, classification, regression, association rules, and anomaly detection. Each technique serves a specific purpose in analyzing and extracting insights from data.

Some common challenges in data mining include dealing with large and complex datasets, ensuring data quality and consistency, addressing privacy concerns, selecting appropriate algorithms, and interpreting the results accurately.

There are several popular tools and software used for data mining, including R, Python (with libraries such as scikit-learn), Weka, RapidMiner, KNIME, and SAS Enterprise Miner.

R is a programming language and software environment primarily used for statistical analysis, data visualization, and data manipulation. It is widely used in academia, research, and industry due to its extensive statistical capabilities and rich ecosystem of packages.

Data frames are a common data structure in R that organize data in a tabular format, similar to a spreadsheet. They consist of rows and columns, where each column can have a different data type. Data frames are widely used for data manipulation and analysis in R.

There are various ways to learn R programming. You can start by reading introductory books or online tutorials specifically designed for beginners. Online courses and video tutorials, such as those available on websites like Coursera, DataCamp, and Udemy, can provide structured learning paths.

The objectives of R, as a programming language and software environment, can be summarized as follows:

  • Statistical Analysis: R is designed to provide a wide range of statistical techniques and methods for analyzing data. It aims to facilitate data exploration, hypothesis testing, regression analysis, time series analysis, multivariate analysis, and more.
  • Data Visualization: R offers powerful tools for creating visual representations of data. It provides a flexible and customizable framework, with packages like ggplot2, plotly, and lattice, to generate a variety of graphs, charts, and plots that help users understand and communicate data effectively.

The salary of a data mining analyst in India ranges from INR 16,165 per year according to a Glassdoor report.

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DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at portal. You also get candidate login at , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

The mode of Payment are- 

  • Net Banking
  • Check
  • Cash
  • Debit Card
  • Credit Card
  • PayPal
  • Visa
  • Master card
  • American Express

The Flexi-Pass offered by DataMites for R programming Training provides a 3-month period during which you can attend sessions and seek assistance for any queries or revisions you need clarification on.

Yes, a free demo class will be provided to you to give you a brief idea of ​​how the training will be done and what will be involved in the training.

DataMites is a renowned training institute known for its comprehensive Data Mining with R training course, covering both theoretical concepts and practical implementation, ensuring a well-rounded learning experience.With experienced instructors, real-world projects, and job placement assistance, DataMites offers a strong platform for individuals to enhance their skills in data mining with R and boost their career prospects in the data science industry.

The prerequisites for attending the Data Mining with R training program at DataMites typically include a basic understanding of statistics, familiarity with programming concepts, and some experience with R programming. However, it is recommended to check with DataMites for specific prerequisites as they may vary.

The curriculum for the Data Mining with R training course may include topics such as introduction to data mining, data preprocessing, exploratory data analysis, association rule mining, clustering, classification, regression analysis, text mining, and social network analysis. It may also cover practical aspects such as data visualization, model evaluation, and feature selection.

Yes, the training is designed to cover both theoretical concepts and practical implementation using R. It will provide you with a solid understanding of the underlying principles and algorithms of data mining, as well as hands-on experience in applying these techniques to real-world datasets using R.

Yes, many Data Mining with R training programs include real-world projects and case studies to enhance practical knowledge. These projects simulate real-life scenarios and allow participants to apply their skills to solve data mining problems, giving them valuable hands-on experience.

The instructors who conduct Data Mining with R training sessions at DataMites are typically experienced professionals with expertise in data mining, R programming, and practical applications of data science. They have industry experience and are well-versed in teaching the subject effectively.

Yes, the training is suitable for beginners with no prior experience in data mining or R programming. It is designed to provide a comprehensive introduction to data mining concepts and R programming from the basics, enabling participants to grasp the fundamental concepts and gradually build their skills.

 The course duration is three months, during which students have access to a year's worth of e-learning materials. The curriculum includes five capstone projects and one client project, providing hands-on experience in applying learned concepts.

DataMites may provide job placement assistance or guidance to participants who have completed the Data Mining with R training program. They may have tie-ups or collaborations with companies in the industry and can help connect participants with relevant job opportunities. However, it is recommended to check with DataMites for the specific details regarding job placement or internship opportunities.

Upon successful completion of the Data Mining with R training program at DataMites, participants may receive a certification. The recognition and acceptance of the certification in the industry can vary depending on the reputation and credibility of DataMites and the specific training program.

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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