Corporate Data Analysis with R Programming Training Course

Name: Data Analysis with R Programming Training
Availability: InStock

Edstellar's instructor-led Data Analysis with R Programming training course empowers teams with data manipulation, statistical analysis, and visualization skills to achieve business insights and organizational decision-making. The course equips professionals to uncover hidden patterns and transform raw data into actionable insights.

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 Data Analysis with R Programming Corporate Training

Data Analysis with R Programming is an essential skill set that focuses on utilizing the R programming language to interpret, analyze, and visually represent large datasets, enabling insightful decision-making and strategic planning. The objective is to provide professionals with the competencies to manage data effectively, leveraging R's statistical and graphical capabilities to conduct comprehensive data analysis. Data Analysis with R Programming training course equips teams with the technical know-how to navigate complex data terrains, ensuring organizations can identify trends, make informed predictions, and unlock actionable insights.

Edstellar's instructor-led Data Analysis with R Programming training course offers virtual/onsite training formats conducted by industry experts with years of experience in data analysis. The course is tailored to meet your team's needs, featuring a customizable curriculum that includes hands-on practice with real-world datasets. Professionals will learn through expert guidance, gaining practical skills that can be applied immediately in their job roles.

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.

R Programming
R Programming is a statistical computing language used for data analysis and visualization. This skill is important for data scientists and analysts to derive insights from complex datasets.
Data Manipulation
Data Manipulation is the process of adjusting, organizing, and analyzing data to extract meaningful insights. This skill is important for data analysts and scientists, as it enables them to transform raw data into actionable information, driving informed decision-making.
Data Visualization
Data Visualization is the ability to represent data graphically, making complex information accessible and understandable. this skill is important for analysts and decision-makers to identify trends, insights, and patterns effectively.
Exploratory Data Analysis
Exploratory Data Analysis involves analyzing datasets to summarize their main characteristics. This skill is important for data scientists and analysts to uncover insights, identify patterns, and inform decision-making.
Predictive Modeling
Predictive Modeling is the process of using statistical techniques to forecast future outcomes based on historical data. This skill is important for data analysts, marketers, and financial analysts, as it enables informed decision-making and strategic planning.
Machine Learning
Machine Learning is the ability to develop algorithms that enable computers to learn from data. This skill is important for data scientists and AI engineers to create predictive models and enhance automation.

What Your Team Will Achieve After This Training

Analyze and interpret complex datasets using R's statistical tools, making informed decisions based on quantitative evidence
Develop custom data visualization dashboards and reports in R, effectively communicating data insights to organizational stakeholders
Apply R programming techniques to preprocess, clean, and prepare data sets for comprehensive analysis, ensuring data integrity and relevance
Integrate R-based analytics solutions with existing IT infrastructure, facilitating a seamless flow of data insights into business strategies and actions
Leverage R's extensive package ecosystem to extend functionality and apply analytical techniques, keeping your organization at the forefront of data-driven innovation

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.

Programming and Data Analytics

Introduction to programming concepts
- Understanding variables and data types
- Control structures: Conditional statements and loops
- Functions: Definition, scope, and application
- Introduction to object-oriented programming
Basics of data analytics
- The data analytics process: From data collection to insight
- Types of data: Structured vs. unstructured
- Essential statistical concepts for analytics

Programming using RStudio

Getting started with RStudio
- Installation and setup of RStudio
- Understanding the RStudio interface and environment
- Basic operations in RStudio: Scripts, variables, and packages
R programming fundamentals in RStudio
- Data types and structures in R
- Importing and exporting data in RStudio
- Basic data operations

Working with Data in R

Data manipulation with dplyr
- Introduction to the dplyr package
- Selecting, filtering, arranging, and mutating data
- Summarizing data and working with group functions
Data cleaning and preparation
- Handling missing values and outliers
- Data type conversions and recoding variables
- Joining and merging datasets

More About Visualizations, Aesthetics, and Annotations

Leveraging ggplot2 for complex data insights
- Mastering plot layers and customization
- Exploring advanced plot types for specialized data analysis
- Strategies for effective data storytelling with ggplot2
Elevating visualizations with refined aesthetics
- Techniques for enhancing plot aesthetics to improve readability
- Implementing annotations for clarity and added value
Interactivity and dynamic visualizations
- Introduction to interactive plotting with Plotly
- Creating dynamic and interactive web-based plots
- Engaging audiences with interactive data stories

Documentation and Reports

Dynamic reporting with R Markdown
- Introduction to R Markdown for report generation
- Integrating R code and results into documents
- Customizing reports: HTML, PDF, and Word formats
Version control and project management in RStudio
- Using Git and GitHub with RStudio for version control

Who Should Attend?

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

Data Analysts
Data Scientists
Business Analysts
Financial Analysts
Research Scientists
Academic Researchers
Quantitative Analysts
Predictive Modelers
Operations Analysts
Market Researchers
Data Engineers
Managers

What are the Prerequisites?

Professionals with a basic understanding of statistics and programming concepts can take up the Data Analysis with R Programming 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 Data Analysis with R Programming 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 Data Analysis with R Programming 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 Data Analysis with R Programming 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

"This Data Analysis with R Programming course was exactly what I needed to advance my career. As a Principal Frontend Developer, mastering advanced methodologies has become crucial for my success. The in-depth daily. These specialized skills have positioned me for significant advancement opportunities within my organization. The real-world examples and deep dive into real-world case studies were particularly valuable for my professional growth.”

Sandra Grant

Principal Frontend Developer,

Technology Consulting Services Company

"This Data Analysis with R Programming course equipped me with comprehensive strategic frameworks expertise that I've seamlessly integrated into our professional services practice. The hands-on modules covering interactive design solutions that consistently deliver measurable business results. Client engagement and retention metrics have improved significantly across our practice, validating the immediate impact of this training program.”

Marcus Olsen

Lead Backend Developer,

IT Services and Solutions Provider

"As a Principal Cloud Engineer overseeing professional expertise initiatives, the Data Analysis with R Programming training significantly elevated our team's capabilities. The course expertly covered practical applications, operational effectiveness. Our team's capability maturity level increased by three full stages within six months. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Shakir Faruq

Principal Cloud Engineer,

Global Technology 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 Data Analysis with R Programming Training Course

Drive Team Excellence with Data Analysis with R Programming Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Programming and Data Analytics

Programming using RStudio

Working with Data in R

More About Visualizations, Aesthetics, and Annotations

Documentation and Reports

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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