R Programming Classes Near Me

R programming is a flexible and powerful open-source language that assists with data analysis and statistical modeling. Various career paths and jobs utilize R, including but not limited to Data Scientists, Quantitative Analysts, Data Analysts, and Bioinformaticians. According to the TIOBE Index, R Programming is increasingly popular, currently ranking 12th among the most widely used programming languages worldwide. Learning R is critical for individuals interested in data analysis and machine learning as it offers excellent capabilities for visualizing and understanding complex datasets, promotes reproducible research, and is highly sought-after in numerous industries.

Top In-Person & Virtual R Programming Classes

R Programming Courses at Noble Desktop

Noble Desktop is a leading design and coding school in New York City. Founded in 1990, Noble Desktop offers hands-on classes and certificate programs in web design and development, graphic design, motion graphics, data science, UX, and digital marketing. Emphasizing a practical, hands-on learning approach, it provides students with the necessary skills to jump-start their careers in the dynamic fields of digital design, programming, data science, and online marketing, among others. These courses, available through in-person or live online instruction, are taught by experienced instructors. In addition, Noble Desktop offers career-support services for students.

Data Analytics with R Bootcamp

• Price: $1,495
• Duration: 30 hours
• Locations: NYC, Live Online

Noble Desktop's Data Analytics with R Bootcamp equips students with comprehensive knowledge and skills in analyzing and visualizing data using the programming language R. The course covers various data analytics concepts, including manipulating data with dplyr, producing reports with Rmarkdown, building interactive visualizations with Shiny, developing data science projects, and running linear regressions, among others.

R Programming Courses at NYC Data Science Academy

NYC Data Science Academy is a premier educational institution where students immerse themselves in a comprehensive curriculum designed specifically for data science. It offers a robust learning environment where budding data scientists garner in-depth comprehension of various aspects of data science, spanning from intricate programming languages like Python and R to complex data structures, allowing them to adeptly manipulate, analyze, and interpret massive data sets.

Data Science with R: Data Analysis and Visualization

• Price: $2,190
• Duration: Five weeks
• Locations: Several (see school website)

The Data Science with R: Data Analysis and Visualization course at NYC Data Science Academy guides learners through R for data analysis purposes, demonstrating the utility of R as a powerful graphical and statistical analysis tool. This course covers several key areas including data manipulation, data visualization, exploratory data analysis, hypothesis testing, and regression and model building, providing students with a comprehensive understanding of how to apply R in real-world data science scenarios.

R Programming Courses at the University of Sydney Centre for Continuing Education

The University of Sydney Centre for Continuing Education offers numerous learning opportunities for anyone looking to build their skills or widen their knowledge. With an exceptional range of courses from languages, arts, business, lifestyle, and more, students can delve into new interests, upgrade their professional skills or even kick-start a new career path.

Introduction to R Programming

• Price: $313.82
• Duration: Eight hours
• Locations: Several (see school website)

The Introduction to R Programming course at the University of Sydney Centre for Continuing Education is a practical and hands-on introduction to the fundamental concepts of programming in R. Students will learn to manipulate, analyze, and visualize data using this open-source programming language as well as gain an understanding of R's unique syntax and underlying paradigms, offering a firm grounding for further statistical computing.

Intermediate R Programming

• Price: $313.82
• Duration: Eight hours
• Locations: Several (see school website)

The Intermediate R Programming course at the University of Sydney Centre for Continuing Education offers students a more in-depth understanding of the R programming language. It helps them develop the essential skills needed for data manipulation, including how to manage and manipulate datasets, create basic graphics, work with R objects, and write their own functions in R.

R Programming Courses at 4D

At 4D, students can deepen their understanding of the four-dimensional world through immersive learning experiences. The platform carefully explains complex concepts, providing high-quality visualizations and simulations to help students comprehend the intricacies of the 4th dimension, including the influence of time on three-dimensional objects and how to conceptualize four-dimensional geometry and physics.

R Basic

• Price: $656.61
• Duration: One day
• Locations: Copenhagen

The R Basic course at 4D provides students with fundamental knowledge of R programming for statistical computing and graphics. By the end of the course, students will be able to import data, conduct basic statistical analyses, create various plots, and learn how to use R packages - empowering them to make well-founded, data-driven decisions.

R Programming Courses at ITTA

The International Teacher Training Academy (ITTA) provides hands-on courses that assist in mastering digital and managerial skills. ITTA offers a comprehensive range of courses including Certificate IV in Training and Assessment, Diploma of Training Design and Development, and Advanced Diploma of Network Security, where students can gain professional knowledge and a holistic understanding of teaching strategies, planning and delivering efficient training programs, and advancing network security.

R - Programming

• Price: $1,927.33
• Duration: Two days
• Locations: Geneva, Lausanne, Live Online

At ITTA, the R - Programming course provides comprehensive training on the utilization of the R language, a powerful tool widely used in statistical computing and graphics. Students will gain an in-depth understanding of how to handle data, develop algorithms, create simulations, and perform statistical analyses, thereby acquiring a robust foundation in programming, data analysis, and data visualization with R.

R-Charts (Graph Mining)

• Price: $2,834.31
• Duration: Three days
• Locations: Geneva, Lausanne, Live Online

In the R-Charts (Graph Mining) course at ITTA, students will learn how to visualize and interpret data using R language, a powerful tool for data analysis and graph mining. Delving into different types of graphs, the course covers practical applications for qualitative and quantitative analysis, social network study, and advanced statistical analysis techniques to empower students with sophisticated data interpretation skills.

R - Data Mining & Text Mining

• Price: $1,927.33
• Duration: Two days
• Locations: Geneva, Lausanne, Live Online

The R - Data Mining & Text Mining course at ITTA provides comprehensive training on the R programming language for data manipulation, visualization, and statistical analysis. It offers detailed exposure to the techniques of mining data and text, thus enabling students to extract, analyze, and interpret complex data from diverse sources effectively.

R Programming Courses at City Lit

City Lit, based in London, is an adult education institution offering over 5,000 unique short in-person and online courses. Catering to an array of interests and abilities, the establishment provides learning opportunities in a spectrum of disciplines, such as performing arts, languages, visual arts, music, history, digital media, and more.

Introduction to R Programming

• Price: $253.41
• Duration: 12 hours
• Locations: Several (see school website)

The Introduction to R Programming course at City Lit is for beginners who want to learn the basics of R, a programming language commonly used in data analysis and statistics. Students will learn how to install and navigate R, perform basic operations, manipulate data frames, create visualizations, and more.

Key Information about Learning R Programming

In R Programming, learners delve into subjects like statistical analysis, graphical representation of data, programming fundamentals, and data manipulation. While it is accessible and beneficial for beginners to learn R Programming, it does pose a learning curve due to its somewhat complex syntax and programming concepts. 

The time it takes to learn R programming depends on an individual's previous programming experience and how much time they dedicate to learning each week. Before embarking on their R programming journey, it is advantageous for learners to have a foundational understanding of basic programming concepts like variables, data types, and control structures. To start the learning process, students must set up a technical environment and download the R Console and RStudio, both readily available on the R Project website.

Career Paths & Job Outlook for R Programming

According to the 2020 Tiobe index, R Programming famously rose to the top 10 most popular programming languages, witnessing significant growth in demand. The U.S. Bureau of Labor Statistics indicates that job opportunities for those who use R Programming will grow impressively by about 16% from 2018 through 2028, particularly in data science and business intelligence fields. As per PayScale, entry-level positions requiring R can attract salaries as high as $69,000 on average. Those with more experience and advanced skill-set in R Programming can earn up to $121,000, according to Zippia. Various professionals in a myriad of fields use R programming. For example, Data Scientists use R for statistical analysis and data visualization. Alternatively, Quantitative Analysts use R to develop complex financial models. Bioinformaticians, however, use R to understand complex genetic sequences.

What Can You Do With R Programming?

R Programming is a versatile language that enables a user to perform various tasks ranging from data analysis to software development. For instance, a user can leverage R for statistical computing. It’s equipped with several features and libraries, like ggplot2 for data visualization, dplyr for data manipulation, car for linear regression, and caret for machine learning tasks. Through these libraries, a user can execute complicated statistical models, generate high-quality plots, and predict future trends based on historical data, exemplifying R's potential in predictive analytics. 

On top of that, one can develop web applications using R and the Shiny R package. This combination allows the development of interactive dashboards and data-driven web applications, further simplifying sharing of insights and visualizations with others. These applications can be built without prior knowledge of HTML, CSS, or JavaScript, significantly reducing the entry barrier for many aspiring web developers. 

Moreover, R's capabilities extend to Bioinformatics as well. Packages such as Bioconductor provide tools that aid in the analysis and comprehension of genomic data, thereby facilitating research in the field of genomics. Lastly, R is used extensively to create reproducible research reports. With the Knitr and Rmarkdown packages, one can simultaneously code and document their work. 

The final report can include text, code, code outputs, and plots and is exportable to various formats like PDF, HTML, or Word. R is an invaluable tool for researchers, data scientists, statisticians, and academics alike. R programming offers users a range of possibilities, from data visualization, manipulation, and software development, to bioinformatics and creating reproducible reports.

Top R Programming Tools For Beginners

1. RStudio: This is an integrated development environment (IDE) that makes R programming easier and more succinct. It comes complete with a good code editor and various tools which allow you to work seamlessly with R packages, documentation, and GitHub.
2. Shiny: This allows you to develop interactive web applications straight from the R environment. You can create simple yet powerful data visualizations and dashboards without learning HTML, CSS, or JavaScript.
3. dplyr: This package is for data manipulation. It provides easy-to-use functions that help you resolve the most common data manipulation challenges. You can filter rows, select specific columns, rearrange data, aggregate information, and perform multiple operations simultaneously.
4. ggplot2: This is a data visualization package that allows the user to create complex, multi-layered graphics using a high-level, declarative syntax.
5. tidyr: This package helps you tidy your data. It provides a standardized way to link the structure of a dataset with its semantics, making it easier to understand and use.
6. caret: This is a modeling wrapper that streamlines the process of building predictive models. It bundles together convenient methods for data splitting, pre-processing, feature selection, model tuning, and more.
7. stringr: This specifically handles and manipulates strings in R. With stringr, you can easily read, clean, and parse strings.
8. lubridate: This helps you deal with dates and times in R, providing a simple and effective method for parsing dates, times, and intervals, handling time zones, and extracting and changing components of a date or time.
9. readr: This provides fast and friendly ways to read rectangular data (like csv, tsv, and fwf). It parses data files and automatically sets the data type of each column.
10. purrr: This enhances R’s functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors. It allows the user to apply a function to each element of a list or vector.

R Programming Comparison to Other Tools & Fields

People who use R programming also often use other languages such as Python, SQL, and Statistical Analysis System (SAS) and work in fields that require knowledge of data analysis, statistics, and machine learning. Python, like R, is widely used in data science and has libraries, such as pandas and NumPy, that offer similar functionalities to R in data manipulation and mathematical computation. 

On the other hand, SQL manages and manipulates structured data, which is frequently necessary in combination with R programming. Lastly, SAS is a tool similar to R that performs advanced analytics, multivariate analyses, business intelligence, and data management but is usually used in more enterprise-oriented settings due to its licensing cost.

R Programming Advantages

R programming has a robust package ecosystem and extensive data analysis capabilities, which allows for detailed data manipulation and visualization. It offers a comprehensive statistical analysis language that encourages users to develop scripts, enabling specific analytic and visualization capabilities. Interoperability with other languages, such as Python or C++, and flexibility in integrating with various databases also make R a versatile option in data science.