R tops Google searches as the preferred Advanced Analytics software, experiencing rapid growth alongside its user base. Consequently, R emerges as an intriguing programming language, highly sought-after as a valuable addition to your resume. This training will make you an expert in R Programming language, Data Manipulation, Data Visualization, Exploratory Data Analysis, Data Mining, Correlation & Regression, Sentimental Analysis.
Key Highlights
Placement Stats
Our Alumni in Top Companies
Batches Timing for Data Analytics Certification
Track | Weekdays (Tue-Fri) | Weekends (Sat-Sun) | Fast Track |
Course Duration | 4 Months | 5 Months | 30 Days |
Hours Per Day | 2-3 Hours | 3-4 Hours | 6 Hours |
Training Mode | Classroom/Online | Classroom/Online | Classroom/Online |
Machine Learning Certification
Earn your Certificate after the completion of the course.
This certification helps you gain skills and knowledge to jump start journey towards becoming a successful Machine Learning Certified Professional.
Post your Certificate on LinkedIn, Meta, Twitter and get recognition of the Hiring Managers from the top-notch companies.
Course Curriculum
Gyansetu’s Machine Learning with R Certification course will make you build your career in the field of AI and ML. It will make you a master of analyzing data and predicting through it using R programming skills, Statistics skills and Machine learning algorithms.
R Programming for Machine Learning
- 5 Modules
Statistics for Machine Learning
- 4 Modules
- 36 Hours
Machine Learning in R
- 12 Modules
Industry Ready Projects
This project helps to predict customer churn/ attrition for telecom companies using dataset like customer information, service usage and churn status. Implementing data pre-processing like handling missing values, feature engineering, and encoding categorical variables. You will be working on Classification algorithms like Logistic Regression, Decision Trees and SVM to build predictive models. This will help companies to improve retention rate, enhance customer experience and improve business profitability.
This project uses ML algorithms like Random Forest, Gradient Boosting on historical data to predict equipment failures or maintenance needs. Sensors are used on machinery to collect Time series data and pre-processed. Techniques like anomaly detection and feature engineering are applied to identify patterns indicating failures. This helps companies to improve equipment uptime and reduce maintenance cost, enhancing overall efficiency and productivity.
Skills you can add in your CV after this course
- Aspiring Data Scientists/ AI Professionals
- Market Researchers
- Data Analysts
- Career Changers
- Economists
- Academic Researchers and Educators
Career Assistance we offer
Get a 100% Guaranteed Interview Opportunities Post Completion of the training.
Get chance to connect with Hiring partners from top startups and product-based companies.
Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.
Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.
Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.
Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.
Top Companies Hiring
Our Learners Testimonials
Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.
Frequently Asked Questions
There is no prerequisite to join this course. However, basic knowledge of programming concepts is an additional benefit.
Though there are many online courses available online but we at Gyansetu understand that teaching any course is not difficult but to make someone job-ready is the most important task. This is the reason we have our course curriculum designed and delivered by industry experts along with capstone industry ready projects which will drive your learning through real-time IT industry scenarios and help in clearing interviews.
The total duration of the Machine Learning in R Certification course is 320 hours (160 Hours of live Instructor-Led training and 160 hours of self-paced learning).
We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.
Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews are a learning experience of :-
- What type of technical questions are asked in interviews
- What are their expectations?
- How should you prepare?
Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.
We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!!
Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x.
Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of –
- What type of technical questions are asked in interviews
- What are their expectations?
- How should you prepare?
Our faculty team will constantly support you during interviews. Usually, students get a job after appearing in 6-7 interviews.
We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students, so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x.
Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of :-
- What type of technical questions are asked in interviews
- What are their expectations?
- How should you prepare?
Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.
Yes, a 1:1 faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you resolve all your queries before you start classes with us.
We understand the importance of every session. Session’s recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.
Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc., so that a student can get a good handle of these topics.
We provide an option to retake the course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.
We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people.
Yes, we have batches available on weekends. We understand many students are in jobs and it’s difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors on +91-9999201478.
Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more about this on +91-9999201478.
You don’t need to pay anyone for software installation, our faculties will provide you with all the required software’s and will assist you in the complete installation process.
Our faculties will help you in resolving your queries during and after the course.