Machine Learning with R Course with Certification

Objective: Learn to implement machine learning algorithms in R for classification, regression, and clustering while mastering model evaluation and optimization techniques.

Total Duration of the training: 24 Hours of Live, Interactive, Trainer-Led Sessions

Additional Components: 50+ Hours of MCQs and Assignments | 16 Hours of Hands-on Training with R

Master Machine Learning Techniques with R Programming

This course introduces the core concepts of Machine Learning, including data preprocessing, exploratory data analysis, and model building using R. Learners will gain practical insights through real-life case studies involving predictive analytics, decision trees, clustering, and ensemble techniques.

This programme delivers 40 hours of Continuing Professional Development (CPD) / Continuing Professional Education (CPE). Please note that it is a self-certified training initiative and does not carry formal accreditation from any external CPD or CPE governing body. Participants are strongly advised to consult with their respective professional, regulatory or membership organisations to determine the eligibility and recognition of these learning hours for their continuing education requirements.

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Testimonials

Ankita Paladiya

Data Analyst-AXA

This course gave me the confidence to use R for real-world machine learning projects. The trainer explained algorithms with clarity and made the hands-on sessions interactive and result-driven.

Yasmeen Asaad

Machine Learning Engineer-Turing

The Merit Global Training Machine Learning with R course was highly practical. The exercises on regression, clustering, and PCA were directly applicable to my daily work. Highly recommend it!

Jorge Zacharias

Data Scientist-Decision

The structure of the course was fantastic! I learned how to preprocess data, train models, and evaluate results systematically. The projects helped me build a strong ML portfolio using R.

Satyadhar Joshi

Quantitative Analyst-BoFA

I truly enjoyed the interactive sessions and coding labs. The instructor shared best practices in R and real-world insights on building predictive models efficiently.

By the end of this 24-hour course, learners will be able to:

Understand the fundamentals of Machine Learning and data modeling.
Implement supervised and unsupervised learning algorithms using R.
Use data visualization tools like ggplot2 and lattice for analysis.
Build, evaluate, and optimize predictive models using R packages.
Work with real-world datasets and interpret model outputs effectively.
Deploy ML models and communicate results with data-driven insights.

Details

Introduction to Machine Learning with R

Overview of ML concepts, workflow, and use cases.
Understanding R environment and setup for ML.

Data Preprocessing and Visualization

Data cleaning, normalization, and feature selection.
Exploratory data analysis using ggplot2 and lattice.

Supervised Learning Algorithms

Linear and Logistic Regression models.
Decision Trees, Random Forests, and Naïve Bayes.

Unsupervised Learning Algorithms

K-means clustering, hierarchical clustering, and PCA.
Dimensionality reduction and feature extraction.

Model Evaluation and Optimization

Cross-validation, confusion matrix, and ROC analysis.
Hyperparameter tuning and model selection.

Real-World Projects and Case Studies

Predictive analytics for business and finance datasets.
End-to-end project using R for ML model deployment.

Why should join the Machine Learning with R Course with Certification

The Machine Learning with R Course with Certification by Merit Global Training equips learners with the knowledge and hands-on skills to apply Machine Learning algorithms using the R programming language. Participants gain practical experience in supervised and unsupervised learning, model evaluation, and real-world data problem-solving using R’s most powerful libraries and tools.

About The Trainer

Data Scientist and R Programming Expert with over 10 years of experience in analytics, predictive modeling, and developing end-to-end machine learning solutions for global enterprises.

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Frequently Asked Questions

Machine Learning with R Certification Training

1. What is this Machine Learning with R course about?

This course teaches you how to build, evaluate, and deploy machine learning models using R, one of the most powerful tools for data science, analytics and predictive modeling.

2. Who should attend this training?

It’s ideal for data analysts, data scientists, statisticians, business analysts, programmers and IT professionals who want to gain practical machine learning skills using R.

3. What skills will I learn?

You’ll learn key machine learning concepts, data preprocessing, feature engineering, model building (including regression, classification, clustering), model evaluation and tuning, and how to use popular R packages like caret, randomForest and xgboost.

4. Are there prerequisites?

Basic knowledge of R programming and statistics is recommended so you can focus on mastering machine learning techniques and algorithms.

5. How will this course help my career?

This training boosts your ability to work with machine learning models, increases your employability in data science and analytics roles and enhances your credibility with a recognized certification.

6. Will I receive a certificate?

Yes, upon successful completion, you will receive a certificate of completion that validates your Ansible automation skills and boosts your professional credibility.

7. Is there an exam for certification?

Yes, there will be an assessment of 20 questions based on the training topics at the end of the course. You will need to score at least 75% to pass. Participants will receive a certificate of completion reflecting 40 CPD/CPE hours, issued on a self-certification basis.