Corporate Machine Learning With R Training Course

Name: Machine Learning with R Training
Availability: InStock

Edstellar's instructor-led Machine Learning with R training course provides comprehensive guidance on leveraging R for data analysis and predictive modeling. They learn to develop sophisticated models, automate tasks, and make data-driven decisions. Empower professionals to extract insights, drive innovation, and enhance operational efficiency.

Duration

32 - 40 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Machine Learning With R Corporate Training

Machine Learning with R refers to applying machine learning algorithms and techniques using the R programming language. ML with R offers organizations a powerful toolkit for data analysis, predictive modeling, and decision-making. This training provides comprehensive guidance and practical experience, ensuring professionals have the knowledge and skills necessary to apply machine learning techniques effectively.

Edstellar instructor-led Machine Learning with R course offers a unique blend of virtual/onsite training options, allowing flexibility to accommodate various learning preferences and logistical constraints. The course content is also customizable to address specific organizational needs and objectives, ensuring relevance and applicability. professionals benefit from hands-on practical experience, working on real-world projects and case studies to reinforce learning outcomes and gain valuable insights.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Custom Algorithm Development
Custom Algorithm Development involves creating tailored algorithms to solve specific problems. this skill is important for data scientists and software engineers to optimize solutions and enhance performance.
Data Visualization with R
Data Visualization With R is the ability to create graphical representations of data using R programming. this skill is important for data analysts and scientists to effectively communicate insights and trends, enabling informed decision-making.
Data Preprocessing Automation
Data Preprocessing Automation involves streamlining data cleaning and transformation processes. This skill is important for data analysts and scientists to enhance efficiency, accuracy, and insights.
Statistical Analysis
Statistical Analysis involves collecting, interpreting, and presenting data to identify trends and patterns. This skill is important for data-driven roles, enabling informed decision-making and strategic planning.
Machine Learning with R Programming
Machine Learning With R Programming involves using R to develop algorithms that enable computers to learn from data. This skill is important for data scientists and analysts, as it enhances predictive modeling and data-driven decision-making.
Business Forecasting
Business Forecasting is the process of predicting future business conditions based on historical data and trends. This skill is important for roles in finance, marketing, and operations, as it enables informed decision-making, resource allocation, and strategic planning.

What Your Team Will Achieve After This Training

Develop predictive models that can forecast business outcomes, identify customer trends, and optimize operational processes, utilizing R's extensive suite of statistical and machine learning libraries
Implement various data mining and statistical techniques to uncover hidden patterns in large datasets, thereby informing strategic decision-making and revealing actionable insights
Apply R programming to create custom algorithms for classification, regression, clustering, and anomaly detection tasks tailored to specific industry needs, enhancing accuracy and efficiency
Leverage R's powerful data visualization libraries to create intuitive and interactive graphs and charts, enabling stakeholders to understand complex data analyses and model predictions easily
Automate data cleaning, preparation, and preprocessing workflows in R, improving data quality and ensuring models are trained on accurate and relevant information

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Machine Learning vs Statistical Modeling & Supervised vs Unsupervised Learning

Machine learning languages, types, and examples
- Introduction to machine learning languages
- Types of machine learning
- Examples of machine learning applications
Machine learning vs statistical modeling
- Comparing machine learning and statistical modeling
- When to use machine learning or statistical modeling
Supervised vs unsupervised learning
- Definition and differences
- Applications and examples
Supervised learning classification
- Introduction to classification in supervised learning
- Common classification algorithms
Unsupervised learning
- Exploring unsupervised learning algorithms
- Applications of unsupervised learning

Supervised Learning - I

K-nearest neighbors
- How do k-nearest neighbors work?
- Choosing the right k value
Decision trees
- Basics of decision trees
- How to build and prune decision trees?
Random forests
- Understanding random forests
- Building a random forest model
Reliability of random forests
- Assessing the reliability
- Improving model reliability
Advantages & disadvantages of decision trees
- Benefits of using decision trees
- Limitations and considerations

Supervised Learning - II

Regression algorithms
- Types of regression algorithms
- Applying regression in supervised learning
Model evaluation
- Introduction to model evaluation
- Common evaluation metrics
Model evaluation: Overfitting & underfitting
- identifying overfitting and underfitting
- Strategies to avoid them
Understanding different evaluation models
- Exploring various model evaluation techniques
- Choosing the right evaluation model

Unsupervised Learning

K-means clustering plus advantages & disadvantages
- How does k-means clustering work?
- Pros and cons of k-means clustering
Hierarchical clustering plus advantages & disadvantages
- Basics of hierarchical clustering
- Benefits and limitations
Measuring the distances between clusters - Single linkage clustering
- Single linkage clustering explained
- When to use single linkage clustering
Measuring the distances between clusters - Algorithms for hierarchy clustering
- Different algorithms for hierarchical clustering
- Selecting the appropriate algorithm
Density-based clustering
- Understanding density-based clustering
- Applications and examples

Dimensionality Reduction & Collaborative Filtering

Dimensionality reduction: feature extraction & selection
- Techniques for dimensionality reduction
- Feature extraction vs feature selection
Collaborative filtering & its challenges
- Introduction to collaborative filtering
- Overcoming challenges in collaborative filtering

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Scientists
Statisticians
Data Analysts
Product Managers
Machine Learning Engineers
Quantitative Analysts
R Programmers
Predictive Modelers
Econometricians
Data Engineers
Data Wranglers
Statistical Analysts

What are the Prerequisites?

Professionals should have a basic understanding of basic programming principles, particularly in R, including variables, data types, and control structures, to take the Machine Learning with R training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Machine Learning with R Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Machine Learning with R Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Machine Learning with R Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Machine Learning with R course revolutionized how I approach my daily responsibilities. As a Lead Data Scientist, understanding strategic frameworks was essential, and this training delivered beyond all invaluable real-world experience. My productivity and technical capabilities have increased dramatically since applying these concepts. The instructor's insights on practical simulations have proven instrumental in my professional advancement.”

Nancy Davidson

Lead Data Scientist,

ML Model Development Platform

"The Machine Learning with R training provided critical insights into practical applications that enhanced my consulting capabilities. As a Lead Analytics Engineer, I now leverage real-world case studies with expertise to on hands-on exercises prepared me perfectly for real-world client scenarios. This expertise enabled us to secure a transformative contract with a Fortune 100 organization, demonstrating immediate value from this investment.”

Zbigniew Wozniak

Lead Analytics Engineer,

Intelligent Automation Company

"This Machine Learning with R course provided our team with comprehensive industry best practices capabilities we immediately put into practice. As a Lead MLOps Engineer managing complex operational excellence that significantly enhanced our delivery capacity. We completed our comprehensive digital transformation initiative significantly ahead of schedule. The training fundamentally improved our team's performance metrics and overall efficiency.”

Hassan Mahmoud

Lead MLOps Engineer,

Cognitive Computing Solutions Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Machine Learning With R Training Course

Drive Team Excellence with Machine Learning With R Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Machine Learning vs Statistical Modeling & Supervised vs Unsupervised Learning

Supervised Learning - I

Supervised Learning - II

Unsupervised Learning

Dimensionality Reduction & Collaborative Filtering

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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