4.8 (22,523) reviewsInstructor Led Live Online
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Enrolling at DataMites was one of the best decisions I made for my career. Coming from a freelance writing background with no prior technical experience, I was initially unsure about stepping into the field of data analytics. But DataMites made the transition smooth and achievable. I’d highly recommend them to anyone looking for a guided, industry-ready data analytics course. A true DataMites success story!
This course is ideal for anyone who wants to learn machine learning concepts and implement them using R’s powerful packages. Whether you’re a beginner in ML, a statistician wanting to leverage R for predictive modeling, or a data analyst aiming to upgrade your analytics skills, this course is perfect for you.
Prior experience with R is helpful but not mandatory. The course includes an R programming refresher and gradually introduces coding concepts, making it beginner-friendly.
The Machine Learning with R course covers:
Yes. You’ll work on hands-on projects like credit scoring, market basket analysis, time-series forecasting, and customer churn prediction.
You’ll gain proficiency in:
Typically 2 to 3 months with 60–80 hours of structured learning. Flexible batches are available on weekdays, weekends, and in self-paced formats.
Yes. By mastering ML with R, you’ll be prepared for roles like Data Analyst, Machine Learning Engineer, or Quantitative Analyst, and you’ll have a strong foundation for advanced analytics and AI work.
Fees generally range from ₹20,000 – ₹40,000 depending on learning mode and inclusions.
Students, statisticians, IT professionals, researchers, and analytics enthusiasts looking to implement ML solutions in R.
Yes. It starts with R basics and progresses to advanced ML algorithms in a structured manner.
A basic understanding of probability, statistics, and algebra will help, but key mathematical concepts are taught during the course.
Absolutely. This course builds the essential skills needed to advance into deep learning, NLP, and AI specializations.
Yes, including data cleaning, transformation, encoding, scaling, and handling missing values.
Basic coding knowledge is useful, but R programming will be taught alongside ML concepts.
No. You’ll learn all necessary data handling, visualization, and statistical analysis skills within the course.
Yes. R is widely used for machine learning and statistical modeling, making it a valuable skill in AI and analytics.
The R programming language offers a wide range of statistical and graphical methods, including machine learning algorithms, linear regression, time series analysis, and statistical inference.
R is not just a tool but a fully functional programming language. It can store data, analyze data, develop statistical models, and is highly flexible compared to other programming languages.
The "R" in R-Programming Language is derived from the first letters of the authors' names, Robert Gentleman and Ross Ihaka. It is also a play on the name of the Bell Labs Language S.
R is considered beginner-friendly as it does not require prior programming knowledge, making it accessible for newcomers.
R is excellent for statistical analysis and computing, offers a wide range of libraries, supports various data types, allows data cleansing and web scraping, provides impressive graphics capabilities, and has a vibrant community of users.
R is a powerful platform for machine learning and is widely used by data scientists. It enables exploration, modeling, and visualization of data through objects, operators, and functions.
The R programming language is gaining popularity in the data science field, and it is utilized by major tech companies like Facebook, Google, and Uber. According to the TIOBE Index 2021, R is currently the 13th most popular programming language globally.
Machine learning certifications are valuable for career advancement in the technology-driven world. They demonstrate expertise and knowledge in machine learning, making professionals more desirable to companies worldwide.
DataMites provides a Machine Learning with R Certification Program that integrates ML theory with practical R-based implementations, preparing learners for real-world analytics challenges.
The course runs for 2 to 3 months with 60–80 hours of training. Flexible weekday and weekend batches are available.
Fees range from ₹20,000 to ₹60,000, depending on the delivery mode and added features like internships or extended mentoring.
Yes. You’ll earn a globally recognized, IABAC-accredited certification upon course completion.
Yes. Free demo classes allow you to preview the trainer’s style, course flow, and materials before committing.
DataMites offers resume support, interview training, mock interviews, job alerts, and networking with industry experts.
Yes. The course starts with R basics and progressively covers applied ML techniques.
Yes. Internships with industry partners provide real-world exposure and portfolio-building opportunities.
Yes, including projects in credit scoring, time series forecasting, fraud detection, and customer segmentation.
No strict prerequisites, though familiarity with R or statistics is an advantage.
Yes. Flexible EMI and installment plans are available.
Industry veterans with expertise in data science, statistics, ML, and R programming.
Yes. Refunds are available under certain conditions, often when withdrawing early.
Expert-led classes, real-world projects, global certification, and strong placement support make it a top choice.
Study guides, recorded video sessions, R scripts, datasets, and project documentation.
DataMites is a globally accredited institute for Machine Learning, certified by the International Association of Business Analytics Certification (IABAC). With over 25,000 enrolled students, DataMites offers a three-step learning method, including self-study materials, intensive live online training, real-world projects, and valuable case studies. Upon completion, participants receive a globally recognized IABAC certification and have the opportunity for an internship with AI company Rubix.
The Machine Learning with R course fee varies by location:
The fee for the machine learning foundation course online varies depending on the region:
Yes, DataMites provides classroom training, but currently only in Bangalore. However, they are open to hosting classes in other locations based on demand and the availability of other candidates from those locations.
Flexi-Pass at DataMites allows participants to attend sessions related to their Machine Learning queries or revisions for a period of three months.
Upon completion of the Machine Learning training, DataMites issues an IABAC® certification that provides global recognition of the acquired skills.
Yes, DataMites will issue a Course Completion Certificate after you complete the Machine Learning with R course.
Yes, DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities after completing the course.
Yes, you can request a support session if you need further clarification or assistance with a particular topic. DataMites encourages participants to make the most of their training sessions.
DataMites accepts various payment methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.
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: -
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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