R ProgrammingTraining
R Programming Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Join our Comprehensive R Programming Training and dive into one of the most versatile languages for data science, statistics, and beyond!
- 10+ Courses
- 30+ Projects
- 400 Hours
R Programming Training is suitable for the following target audiences:
Data Analysts and Data Scientists: Professionals who wish to improve their machine learning and data analysis abilities with R are known as data scientists and analysts.
Statisticians: People who want to utilize R for more complex statistical research and simulation.
Professionals in software and IT: Those looking to combine R with other technologies for applications that rely on data.
Researchers and Academics: Researchers who wish to use R for data visualization and analysis in their studies.
Beginners in Data Science: People who want to get started in the data science field but have little to no prior programming or data analysis experience.
Data Analyst: Data analysis is the process of examining datasets to extract useful information.
Data Scientist: Using R to apply machine learning methods to create prediction models.
Business Intelligence Analyst: Making dashboards and visuals to aid in decision-making is the responsibility of a business intelligence analyst.
Quantitative Analyst: R is used for quantitative research and financial modeling.
Research Analyst: Using statistical techniques in studies in a range of sectors.
Professionals with R skills are in high demand in both the USA and Canada since R is highly sought after in sectors like healthcare, finance, technology, and academia. In the quickly changing data landscape, these positions offer competitive pay and significant growth potential.
- Overview of R and its applications
- Installing and navigating RStudio
- Understanding data types and objects
- Basic arithmetic and logical operations
- Writing and executing simple scripts
- Vectors and factors
- Matrices and arrays
- Lists and data frames
- Importing datasets (CSV, Excel, text files)
- Basic data inspection and summary functions
- Subsetting and filtering data
- Data transformation techniques
- Handling missing values
- Introduction to the dplyr package
- Data wrangling exercises
- Introduction to base plotting
- Creating charts and graphs
- Customizing visualizations
- Using ggplot2 for advanced visualization
- Creating publication-ready plots
- Descriptive statistics
- Probability distributions
- Hypothesis testing
- Correlation and regression analysis
- ANOVA basics
- Writing functions
- Control structures (loops and conditionals)
- Applying functions across data
- Introduction to functional programming
- Debugging and error handling
- Data cleaning techniques
- Working with large datasets
- Introduction to time series basics
- Reporting with R Markdown
- Building reproducible analysis workflows
- Final data analysis project .Data visualization and reporting presentation
- Code optimization and review
- Resume guidance and portfolio tips
- Mock interview preparation
Students, analysts, researchers, and professionals interested in data analysis and statistics.
No prior programming experience is required. The course starts from basics.
Basic understanding helps, but statistical concepts are explained during the training.
Yes. Both base R plotting and advanced visualization using ggplot2 are covered.
Yes. Weekly exercises and a final capstone project are included.
Yes. Correlation, regression, and hypothesis testing are part of the curriculum.
Yes. Data cleaning and transformation techniques are covered in detail.
Yes. You will learn how to create reproducible reports using R Markdown.
Yes. A course completion certificate will be issued.
Data Analyst, Business Analyst, Research Analyst and Junior Data Scientist roles.
We currently offer online sessions with flexible weekday/weekend batches for 8 weeks. All sessions are recorded. You will have access to the recordings, along with support from instructors and peers in our program learning portal.
You can register via our website https://checkmateittech.com/, or reach out to our support teams via phone, email, or WhatsApp. We’ll help you with batch schedules and payment options.
Email info@checkmateit Call Us +1-347-408205
- Submit Form
Job opportunities in USA and Canada
Data Analyst: Data analysis is the process of examining datasets to extract useful information.
Data Scientist: Using R to apply machine learning methods to create prediction models.
Business Intelligence Analyst: Making dashboards and visuals to aid in decision-making is the responsibility of a business intelligence analyst.
Quantitative Analyst: R is used for quantitative research and financial modeling.
Research Analyst: Using statistical techniques in studies in a range of sectors.
Professionals with R skills are in high demand in both the USA and Canada since R is highly sought after in sectors like healthcare, finance, technology, and academia. In the quickly changing data landscape, these positions offer competitive pay and significant growth potential.
