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.
Data Science with R Corporate Training Course
Drive Team Excellence with Data Science with R Training for Employees
Empower your teams with expert-led on-site/in-house or virtual/online Data Science with R Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Data Science with R corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific 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
Data Science with R Training for Employees: Key Learning Outcomes
Edstellar’s Data Science with R training for employees 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 Corporate Training
Attending our Data Science with R classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Data Science with R 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
Data Science with R Training Topics and Outline
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.
- 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
- 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
- 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
- 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
- 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)
- 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)
- 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
This Corporate Training for Data Science with R is ideal for:
What Sets Us Apart?
Data Science with R Corporate Training Prices
Our Data Science with R training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Data Science with R training cost and take the first step toward maximizing your team's potential.
Request for a quote to know about our Data Science with R corporate training cost and plan the training initiative for your teams. Our cost-effective Data Science with R training pricing ensures you receive the highest value on your investment.
Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Data Science with R training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..
125 licenses
64 hours of training (includes VILT/In-person On-site)
Tailored for SMBs
350 licenses
160 hours of training (includes VILT/In-person On-site)
Ideal for growing SMBs
900 licenses
400 hours of training (includes VILT/In-person On-site)
Designed for large corporations
Unlimited licenses
Unlimited duration
Designed for large corporations
Data Science with R Course Completion 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 employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.
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Target Audience for Data Science with R Training Course
The Data Science with R training course is ideal for data analysts, data scientists, statisticians, business analysts, quantitative finance professionals, epidemiologists, data engineers, and geographic information system analysts.
The Data Science with R training program can also be taken by professionals at various levels in the organization.
Data Science with R training for managers
Data Science with R training for staff
Data Science with R training for leaders
Data Science with R training for executives
Data Science with R training for workers
Data Science with R training for businesses
Data Science with R training for beginners
Data Science with R group training
Data Science with R training for teams
Data Science with R short course
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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Bringing you the Best Data Science with R Trainers in the Industry
The instructor-led Data Science with R 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 Data Science with R Access practices.
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Training Delivery Modes for Data Science with R Group 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 Data Science with R training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.
Instructor-led Training
Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.
Instructor-led Training
Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.
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Instructor-led Training
Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.
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