Corporate Data Science with R Training Course

Edstellar's instructor-led Data Science with R training course equips teams with data analytics skills to analyze and interpret complex data and gain strategic advantage for the organization. The course empowers professionals to uncover hidden patterns and optimize business outcomes through statistical analysis and predictive modeling.

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 Science with R Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Data Science with R Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Data Science with R is a powerful approach that utilizes the R programming language for data analysis, enabling the extraction of meaningful insights from complex datasets. This methodology integrates statistical analysis, predictive modeling, and machine learning, making it an invaluable asset for identifying trends, predicting outcomes, and informing organizational decision-making processes. The Data Science with R training course aims to provide professionals with the knowledge and tools necessary to harness the full potential of R, transforming raw data into strategic assets. The course addresses the growing demand for data-driven decision-making capabilities, ensuring organizations are well-prepared to tackle challenges and leverage opportunities in their respective fields.

Edstellar's instructor-led Data Science with R training course is tailored for virtual/onsite training delivery and is conducted by industry experts with profound expertise in data science. The course stands out due to its practical orientation, expertly designed curriculum, and customization options to meet specific organizational needs. The course provides hands-on experience with real-world datasets, ensuring teams gain practical skills and insights into data analysis with R.

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

Key Skills Employees Gain from instructor-led Data Science with R Training

Data Science with R skills corporate training will enable teams to effectively apply their learnings at work.

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 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.
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
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.
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.
Regression Analysis
Regression Analysis is a statistical method used to understand relationships between variables. This skill is important for data analysts and marketers to predict trends and inform decisions.

Key Learning Outcomes of Data Science with R Training Workshop for Employees

Upon completing Edstellar’s Data Science with R workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

Apply R programming skills to perform data manipulation and cleaning tasks efficiently, ensuring data integrity and precision in professional projects
Integrate big data technologies with R to handle and analyze large volumes of data, enabling scalability and agility in responding to evolving business needs
Apply data science methodologies to address specific challenges in your industry, leveraging data-driven solutions to improve processes, products, and services
Utilize advanced statistical analysis techniques to extract actionable insights from complex datasets, which will inform strategic decision-making processes within the organization
Implement machine learning algorithms to solve real-world problems, such as customer segmentation, fraud detection, and demand forecasting, enhancing operational efficiency and competitiveness

Key Benefits of the Data Science with R Group Training

Attending our Data Science with R group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

Learn the fundamentals of R programming, including syntax, data types, and functions, to lay a strong foundation for data analysis
Develop an understanding of big data technologies and integration with R, preparing your organization to handle and analyze large datasets
Equip teams with machine learning capabilities in R, including both supervised and unsupervised learning, to solve complex business problems
Equip professionals with advanced data manipulation techniques using packages like dplyr and tidyr, enabling efficient data preparation for analysis
Develop skills in statistical analysis to understand data distributions and variability and test hypotheses, which are critical for interpreting data with precision

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Topics and Outline of Data Science with R Training

Our virtual and on-premise Data Science with R training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

Introduction to R

What is R?
- Importance of R in data science
- Comparison with other programming languages
R installation and dashboard review
- Installing R and RStudio
- Exploring RStudio environment
- Customizing the R workspace
Variables
- Declaring variables in R
- Understanding variable types
- Variable naming conventions
Data types
- Exploring basic data types in R
- Differences between data types
- Type conversion
Operators
- Arithmetic operators in R
- Logical operators in R
- Assignment operators in R
Conditional statements
- Introduction to conditional statements
- If-else statements
- Switch statements
Looping statements
- For loops
- While loops
- Repeat loops
Functions
- Creating user-defined functions
- Function arguments and return values
- Anonymous functions and closures

Data Structures in R

What are data structures?
- Overview of data structures in R
- Importance of data structures in data analysis
Vectors
- Creating vectors
- Accessing vector elements
- Vector operations
Lists
- Creating lists
- Accessing list elements
- Modifying lists
Matrix
- Creating matrices
- Matrix operations
- Accessing matrix elements
Arrays
- Difference between arrays and matrices
- Creating and manipulating arrays
Dataframes
- Creating dataframes
- Accessing dataframe elements
- Modifying dataframes

Working with Data in R

Types of files in R
- Common file formats used in data science
- Benefits and limitations of each file type
- Choosing the right file type for your data
Working with CSV
- Reading CSV files using read.csv
- Writing data frames to CSV files with write.csv
- Handling common issues with CSV file formats
Working with excel files
- Reading excel files using packages like readxl
- Managing excel sheets and cell formatting options
Working with JSON files
- Converting data frames to JSON format with jsonlite::toJSON
- Handling nested JSON objects and arrays
Working with XML files
- Parsing XML files with xml2::read_xml
- Extracting elements and attributes from XML documents
- Writing data frames in XML format

Data Manipulation in R

What is data manipulation?
- Defining data manipulation in the context of R
- The role of data manipulation in data analysis
- Common data manipulation tasks and their importance
Installation of dplyr package
- Steps to install and load the dplyr package
- Overview of the dplyr package and its capabilities
- Comparing dplyr with base R functions for data manipulation
Data manipulation operations in R
- Selecting and filtering data with dplyr
- Mutating and transforming data columns

Data Visualizations in R

What is data visualization?
- Understanding the importance of data visualization in data science
- Different types of data visualizations and their applications
- Principles of effective data visualization
Working with graphs and plots in R
- Introduction to R's base plotting system
- Creating basic graphs with ggplot2
- Customizing plots in R (themes, labels, colors)

Statistics in R

Introduction to statistics in R
- Overview of statistical analysis in R
- Understanding descriptive vs. inferential statistics
- Setting the environment for statistical analysis in R
Introduction to descriptive statistics
- Calculating basic descriptive statistics (mean, median, mode, range)
- Understanding measures of dispersion
- Visualizing data distributions (box plots, histograms)
Distributions in R
- Exploring normal and non-normal distributions
- Working with probability distributions in R (normal, binomial, Poisson)

Machine Learning

Introduction to machine learning in R
- Defining machine learning and its relevance to data science
- Overview of the machine learning ecosystem in R
- Preparing data for machine learning algorithms
Types of machine learning in R
- Differentiating between supervised, unsupervised, and reinforcement learning
- Selecting the appropriate machine learning model for your data
Introduction to supervised learning in R
- Understanding the basics of supervised learning
- Common algorithms: Linear regression, logistic regression, decision trees
- Evaluating model performance
Introduction to unsupervised learning in R
- Exploring unsupervised learning and its applications
- Common algorithms: K-means clustering, hierarchical clustering, PCA (Principal Component Analysis)
- Techniques for determining the number of clusters

Who Can Take the Data Science with R Training Course

The Data Science with R training program can also be taken by professionals at various levels in the organization.

Data Scientists
Academic Researchers
Business Analysts
Machine Learning Engineers
Research Scientists
Data Engineers
Quantitative Analysts
Predictive Modelers
Operations Analysts
Market Researchers
Business Intelligence Analysts
Managers

Prerequisites for Data Science with R Training

Professionals with a basic understanding of statistics and programming concepts can take up the Data Science with R training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Data Science with R Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Data Science with R training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Edstellar's Data Science with R virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations

The consistent training quality ensures uniform learning outcomes

Participants can attend training in their own space without the need for traveling

Organizations can scale learning by accommodating large groups of participants

Interactive tools can be used to enhance learning engagement

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Edstellar's Data Science with R inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction

Workplace environment can be tailored to learning requirements

Team collaboration and knowledge sharing improves training effectiveness

Demonstration of processes for hands-on learning and better understanding

Participants can get their doubts clarified and gain valuable insights through direct interaction

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Edstellar's Data Science with R offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement

Team bonding can be improved through activities

Dedicated schedule for training away from office set up can improve learning effectiveness

Boosts employee morale and reflects organization's commitment to employee development

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Edstellar: Your Go-to Data Science with R Training Company

Experienced Trainers

Our trainers bring years of industry expertise to ensure the training is practical and impactful.

Quality Training

With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

Industry-Relevant Curriculum

Our course is designed by experts and is tailored to meet the demands of the current industry.

Customizable Training

Our course can be customized to meet the unique needs and goals of your organization.

Comprehensive Support

We provide pre and post training support to your organization to ensure a complete learning experience.

Multilingual Training Capabilities

We offer training in multiple languages to cater to diverse and global teams.

Testimonials

What Our Clients Say

We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

"The Data Science with R training provided me with comprehensive capabilities that elevated my expertise. As a Lead Data Scientist, I needed to understand strategic frameworks deeply, and this course delivered with real-world case studies gave me hands-on experience with industry best practices. I've confidently led multiple high-visibility initiatives leveraging this comprehensive knowledge. Highly recommend for anyone serious about this field.”

Nancy Grant

Lead Data Scientist,

Business Intelligence Platform

"The Data Science with R training provided critical insights into advanced methodologies that enhanced my consulting capabilities. As a Principal ETL Developer, I now leverage interactive labs with expertise to exercises on practical simulations prepared me perfectly for real-world client scenarios. Our solution delivery efficiency and quality have increased substantially across the board, demonstrating immediate value from this investment.”

Rutger Janssen

Principal ETL Developer,

Advanced Analytics Platform Provider

"The Data Science with R training gave our team advanced industry best practices expertise that revolutionized our strategic implementation approach. As a Principal Data Architect, understanding hands-on exercises and optimized processes across our entire portfolio. Our stakeholder satisfaction and NPS scores reached unprecedented all-time highs. This training has become foundational to our team's strategic capabilities and continued growth.”

Iyad Shakir

Principal Data Architect,

Data-Driven Insights Company

“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

Get Your Team Members Recognized with Edstellar’s Course Certificate

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.

We have Expert Trainers to Meet Your Data Science with R Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Sevuga

Chennai, India

Trainer since

February 1, 2014

Data Science with Python Trainer in Kolkata

Arindam

Kolkata, India

Trainer since

January 1, 2017

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Edstellar is a one-stop instructor-led corporate training and coaching solution that addresses organizational upskilling and talent transformation needs globally. Edstellar offers 2000+ tailored programs across disciplines that include Technical, Behavioral, Management, Compliance, Leadership and Social Impact.

Corporate Data Science with R Training Course

Drive Team Excellence with Data Science with R Corporate Training

Key Skills Employees Gain from instructor-led Data Science with R Training

Key Learning Outcomes of Data Science with R Training Workshop for Employees

Key Benefits of the Data Science with R Group Training

Topics and Outline of Data Science with R Training

Introduction to R

Data Structures in R

Working with Data in R

Data Manipulation in R

Data Visualizations in R

Statistics in R

Machine Learning

Who Can Take the Data Science with R Training Course

Prerequisites for Data Science with R Training

Corporate Group Training Delivery Modes for Data Science with R Training

Explore Our Customized Pricing Package forData Science with R Corporate Training

Edstellar: Your Go-to Data Science with R Training Company

Experienced Trainers

Quality Training

Industry-Relevant Curriculum

Customizable Training

Comprehensive Support

Multilingual Training Capabilities

What Our Clients Say

Get Your Team Members Recognized with Edstellar’s Course Certificate

We have Expert Trainers to Meet Your Data Science with R Training Needs

Other Related Corporate Training Courses

Explore More Courses

Corporate Group Training Delivery Modes
for Data Science with R Training

Explore Our Customized Pricing Package for
Data Science with R Corporate Training