Drive Team Excellence with Data Science with R Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Data Science with R Training through Edstellar, a premier Data Science with R training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Data Science with R group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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.

Key Skills Employees Gain from Data Science with R Training

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

  • R Programming
  • Data Visualization
  • Statistical Analysis
  • Machine Learning
  • Predictive Modeling
  • Regression Analysis

Key Learning Outcomes of Data Science with R Training Workshop

Edstellar’s Data Science with R group training will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Data Science with R workshop, teams will to master essential Data Science with R and also focus on introducing key concepts and principles related to Data Science with R at work.


Employees who complete Data Science with R training will be able to:

  • 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 classes tailored for corporations offers numerous advantages. Through our Data Science with R group training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Data Science with R.

  • 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

Topics and Outline of Data Science with R Training

Our virtual and on-premise Data Science with R training curriculum is divided into multiple modules designed by industry experts. This Data Science with R training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. What is R?
    • Importance of R in data science
    • Comparison with other programming languages
  2. R installation and dashboard review
    • Installing R and RStudio
    • Exploring RStudio environment
    • Customizing the R workspace
  3. Variables
    • Declaring variables in R
    • Understanding variable types
    • Variable naming conventions
  4. Data types
    • Exploring basic data types in R
    • Differences between data types
    • Type conversion
  5. Operators
    • Arithmetic operators in R
    • Logical operators in R
    • Assignment operators in R
  6. Conditional statements
    • Introduction to conditional statements
    • If-else statements
    • Switch statements
  7. Looping statements
    • For loops
    • While loops
    • Repeat loops
  8. Functions
    • Creating user-defined functions
    • Function arguments and return values
    • Anonymous functions and closures
  1. What are data structures?
    • Overview of data structures in R
    • Importance of data structures in data analysis
  2. Vectors
    • Creating vectors
    • Accessing vector elements
    • Vector operations
  3. Lists
    • Creating lists
    • Accessing list elements
    • Modifying lists
  4. Matrix
    • Creating matrices
    • Matrix operations
    • Accessing matrix elements
  5. Arrays
    • Difference between arrays and matrices
    • Creating and manipulating arrays
  6. Dataframes
    • Creating dataframes
    • Accessing dataframe elements
    • Modifying dataframes
  1. 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
  2. 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
  3. Working with excel files
    • Reading excel files using packages like readxl
    • Managing excel sheets and cell formatting options
  4. Working with JSON files
    • Converting data frames to JSON format with jsonlite::toJSON
    • Handling nested JSON objects and arrays
  5. Working with XML files
    • Parsing XML files with xml2::read_xml
    • Extracting elements and attributes from XML documents
    • Writing data frames in XML format
  1. 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
  2. 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
  3. Data manipulation operations in R
    • Selecting and filtering data with dplyr
    • Mutating and transforming data columns
  1. 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
  2. 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)
  1. Introduction to statistics in R
    • Overview of statistical analysis in R
    • Understanding descriptive vs. inferential statistics
    • Setting the environment for statistical analysis in R
  2. Introduction to descriptive statistics
    • Calculating basic descriptive statistics (mean, median, mode, range)
    • Understanding measures of dispersion
    • Visualizing data distributions (box plots, histograms)
  3. Distributions in R
    • Exploring normal and non-normal distributions
    • Working with probability distributions in R (normal, binomial, Poisson)
  1. 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
  2. Types of machine learning in R
    • Differentiating between supervised, unsupervised, and reinforcement learning
    • Selecting the appropriate machine learning model for your data
  3. Introduction to supervised learning in R
    • Understanding the basics of supervised learning
    • Common algorithms: Linear regression, logistic regression, decision trees
    • Evaluating model performance
  4. 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

Target Audience for 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.

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Corporate Group Training Delivery Modes
for Data Science with R Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Our virtual group 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
 On-site trainig

Edstellar's onsite group 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
 Off-site trainig

Edstellar's off-site group training programs 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

Explore Our Customized Pricing Package
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Data Science with R Corporate Training

Elevate your team's performance with our customized Data Science with R training. Find transparent pricing options to match your training needs. Start maximizing your team's potential now.

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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.

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

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        "Edstellar's IT Service Management training has been transformative. Our IT teams have seen significant improvements through multiple courses delivered at our office by expert trainers. Excellent feedback has prompted us to extend the training to other teams."

        Liam Anderson
        HR Head,
        A Global Technology Company

        "Edstellar's quality and process improvement training courses have been fantastic for our team of quality engineers, process engineers and production managers. It’s helped us improve quality and streamline manufacturing processes. Looking ahead, we’re excited about taking advanced courses in quality management, and project management, to keep improving in the upcoming months."

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        "Partnering with Edstellar for onsite ITSM training courses was transformative. The training was taken by around 80 IT service managers, project managers, and operations managers, over 6 months. This has significantly improved our service delivery and standardized our processes. We’ve planned the future training sessions with the company."

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        "Partnering with Edstellar for onsite training has made a major impact on our team. Our team, including quality assurance, customer support, and finance professionals have greatly benefited. We've completed three training sessions, and Edstellar has proven to be a reliable training partner. We're excited for future sessions."

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        "Edstellar's online training on quality management was excellent for our quality engineers and plant managers. The scheduling and coordination of training sessions was smooth. The skills gained have been successfully implemented at our plant, enhancing our operations. We're looking forward to future training sessions."

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        "Edstellar's onsite process improvement training was fantastic for our team of 20 members, including managers from manufacturing, and supply chain management. The innovative approach, and comprehensive case studies with real-life examples were highly appreciated. We're excited about the skills gained and look forward to future training."

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        "Edstellar's IT service management training for our 30 team members, including IT managers, support staff, and network engineers, was outstanding. The onsite sessions conducted over three months were well-organized, and it helped our team take the exams. We are happy about the training and look forward to future collaborations."

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        "Edstellar's quality management training over 8 months for our 15+ engineers and quality control specialists was outstanding. The courses addressed our need for improved diagnostic solutions, and the online sessions were well-organized and effectively managed. We're thrilled with the results and look forward to more."

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        Head of Digital Marketing,
        Leading Market Research Firm

        "Edstellar's telecommunications training was perfect for our small team of 12 network engineers and system architects. The multiple online courses delivered over a few months addressed our needs for network optimization and cloud deployment. The training was well-managed, and the case studies were very insightful. We're thrilled with the outcome."

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        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the Data Science with R 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.

        Course Completion Certificate

        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.

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        Sevuga
        Chennai, India
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