R Language Training in Virginia

R Markdown is an authoring framework that integrates executable R code with narrative text to produce dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is designed for beginner to intermediate-level R users who aim to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing for government.

By the end of this training, participants will be able to:

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats, including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact Govtra to arrange.

This instructor-led, live training in Virginia (online or onsite) is aimed at data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis for government.

By the end of this training, participants will be able to:

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Make informed, data-driven decisions for business operations.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools for government.

By the end of this training, participants will be able to:

• Understand the basics of Python, R, Power Query, and Power BI for data analysis in the public sector.
• Clean and organize datasets using Python and Power Query to enhance data integrity and accuracy.
• Perform statistical analysis and projections with R to support evidence-based decision-making.
• Create professional dashboards and reports with Power BI to facilitate clear communication of findings.
• Integrate and analyze data from multiple sources effectively to improve operational efficiency and transparency.

Shiny is an R package that enables users to develop interactive and dynamic web applications directly from R, without the need for knowledge of JavaScript or complex web frameworks.

This instructor-led, live training (online or onsite) is designed for intermediate-level R users who wish to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting within public sector workflows.

By the end of this training, participants will be able to:

• Create interactive web applications using Shiny and R for government.
• Design user interfaces with reactive elements and dynamic inputs.
• Incorporate data visualizations and reporting features into Shiny apps.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud, ensuring alignment with governance and accountability standards.

Format of the Course

• Interactive lecture and discussion tailored for government audiences.
• Extensive exercises and practice sessions to reinforce learning.
• Hands-on implementation in a live-lab environment, simulating real-world public sector scenarios.

Course Customization Options

• To request a customized training for this course, tailored specifically for government use cases, please contact us to arrange.

This instructor-led, live training in Virginia (online or onsite) is designed for intermediate to advanced computer science professionals who aim to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

• Utilize Stata effectively for data analysis and statistical modeling in public sector contexts.
• Compare the functionalities of Stata with those of SPSS and R to optimize decision-making processes for government.
• Integrate Stata with R to achieve seamless statistical computing, enhancing data-driven insights for government operations.
• Develop and automate workflows using Stata and R to improve efficiency and accuracy in governmental tasks.

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces the R programming language to students, covering language fundamentals, libraries, and advanced concepts. It also includes advanced data analytics and graphing using real-world data.

Audience

Developers and Data Analysts for government

Duration

3 days

Format

Lectures and Hands-on Practice

Data analytics is a critical tool in the public sector today. This course will focus on developing practical, hands-on skills for government data analysis. The aim is to equip participants with the ability to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• creating informative data visualizations

What will happen?

• forecasting future performance for government operations
• evaluating the accuracy of forecasts

What should happen?

• transforming data into evidence-based decisions for government
• optimizing processes and workflows

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously contribute to this growing body of data.

This instructor-led, live course focuses on extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training, participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on their significance, enhancing decision-making processes for government.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

This instructor-led, live training in Virginia (online or onsite) is aimed at data analysts who wish to program in R for use with Excel.

By the end of this training, participants will be able to:

• Transfer and manipulate data between Excel and R seamlessly.
• Leverage R Tidyverse and other R features for robust data analytical solutions within Excel.
• Enhance their data analytical capabilities by mastering R programming techniques.

This training is designed to align with the needs of data analysts in the public sector, ensuring they have the skills necessary for government data analysis tasks.

R is a widely used programming language in the financial sector. It is applied in various financial applications, from core trading systems to risk management frameworks.

In this instructor-led, live training, participants will learn how to leverage R to develop practical applications for addressing specific finance-related challenges.

By the end of this training, participants will be able to:

• Comprehend the foundational principles of the R programming language
• Select and utilize R packages and techniques to organize, visualize, and analyze financial data from multiple sources (CSV, Excel, databases, web, etc.)
• Create applications that address issues related to asset allocation, risk analysis, investment performance, and more
• Diagnose, integrate, deploy, and optimize an R application for government use

Audience

• Developers
• Analysts
• Quants

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• This training is designed to provide solutions for key challenges faced by finance professionals. If you have specific topics, tools, or techniques that you would like to add or delve deeper into, please contact us to arrange.

This course covers advanced topics in R programming for government.

This instructor-led, live training in Virginia (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R for government.

By the end of this training, participants will be able to:

• Utilize algorithms to execute the buying and selling of securities at precise intervals rapidly.
• Minimize costs associated with trading through algorithmic methods.
• Automatically track stock prices and initiate trades.

Big Data is a term that refers to solutions designed for storing and processing large data sets. Initially developed by Google, these Big Data solutions have since evolved and inspired other similar projects, many of which are available as open-source options for government use. R is a popular programming language in the financial industry.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level data analysts who wish to use R programming for government to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

By the end of this training, participants will be able to:

• Understand the basics of R Programming for government.
• Apply fundamental data science processes in a public sector context.
• Create visual representations of data that support informed decision-making for government.

R is an open-source programming language used for statistical computing, data analysis, and graphics. It is increasingly adopted by managers and data analysts within both the public and private sectors, as well as in academic institutions. R has also gained a following among statisticians, engineers, and scientists who may not have extensive computer programming skills but find it user-friendly. The language's popularity is attributed to its utility in various data mining applications, such as setting advertisement prices, accelerating drug discovery, and refining financial models. R offers a broad array of packages for data mining, making it a valuable tool for government and other sectors that rely on robust data analysis.

This instructor-led, live training in Virginia (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

By the end of this training, participants will be able to:

• Utilize cluster analysis techniques for data mining purposes.
• Master the R syntax required for implementing clustering solutions.
• Execute both hierarchical and non-hierarchical clustering methods.
• Make informed, data-driven decisions to enhance business operations for government.

This instructor-led, live training in Virginia (online or onsite) is designed for government professionals at the beginner level who wish to gain a mastery of the fundamentals of R and how to work with data for government purposes.

By the end of this training, participants will be able to:

• Understand the R programming environment and the RStudio interface for government use.
• Import, manipulate, and explore datasets using R commands and packages tailored for government applications.
• Perform basic statistical analysis and data summarization relevant to government operations.
• Generate visualizations using both base R and ggplot2 for effective data presentation in a government context.
• Manage workspaces, scripts, and packages effectively to support government workflows and governance standards.

R is an open-source programming language designed for statistical computing, data analysis, and graphical representation. R is increasingly utilized by managers and data analysts within both the corporate and academic sectors. It offers a broad array of packages for data mining, enhancing its utility for government applications and public sector workflows.

This instructor-led, live training in Virginia (online or onsite) is designed for government data scientists who wish to program in Python and R for KNIME.

By the end of this training, participants will be able to:

• Plan, build, and deploy machine learning models in KNIME for government use.
• Make data-driven decisions to enhance operations for government agencies.
• Implement end-to-end data science projects aligned with public sector workflows.

Audience

This course is designed for government business owners, including marketing managers, product managers, and customer base managers, along with their teams; it also caters to customer insights professionals.

Overview

The course follows the customer lifecycle from acquiring new customers to managing existing customers for profitability, retaining valuable customers, and understanding which customers are leaving and why. We will be working with real (if anonymized) data from a variety of sectors including telecommunications, insurance, media, and high tech, tailored to provide insights relevant for government.

Format

The course is instructor-led over five half-day sessions, incorporating in-class exercises as well as homework assignments. It can be delivered either in a classroom setting or through distance (online) learning, ensuring flexibility and accessibility for government participants.

R is an open-source programming language designed for statistical computing, data analysis, and graphics. It is increasingly utilized by managers and data analysts in both the corporate and academic sectors. R offers a comprehensive array of packages for data mining, making it a valuable tool for government and other public sector workflows.

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application for government use.

By the end of this training, participants will be able to:

• Understand and implement unsupervised learning techniques for government applications
• Apply clustering and classification methods to make predictions based on real-world data for government projects
• Visualize data to quickly gain insights, make informed decisions, and further refine analysis for government initiatives
• Improve the performance of a machine learning model using hyper-parameter tuning for government datasets
• Deploy a model into production for use in larger government applications
• Apply advanced machine learning techniques to address questions involving social network data, big data, and more for government purposes

R is an open-source programming language designed for statistical computing, data analysis, and graphics. It is increasingly utilized by managers and data analysts within both the public and private sectors, as well as in academia. R has gained a following among statisticians, engineers, and scientists who may not have formal computer programming skills due to its user-friendly nature. The growing popularity of R is attributed to the increasing use of data mining for various objectives, such as setting advertisement prices, accelerating drug discovery, or refining financial models. R offers a comprehensive array of packages that support advanced data mining techniques, making it an essential tool for government and other sectors.

R is an open-source programming language designed for statistical computing, data analysis, and graphics. It is increasingly utilized by managers and data analysts within both the public and private sectors, including academia. R has also gained a following among statisticians, engineers, and scientists without extensive computer programming skills due to its user-friendly nature. Its growing popularity in various fields is attributed to the increasing reliance on data mining for diverse objectives, such as setting advertisement prices, accelerating drug discovery, or refining financial models. R offers a broad array of packages specifically tailored for data mining, making it an essential tool for government and other sectors.

This course provides an introduction to the application of neural networks in real-world scenarios, utilizing R-project software for government. It is designed to enhance the capabilities of professionals in addressing complex data challenges within public sector workflows.

This course is designed for data scientists and statisticians who already possess basic R and C++ coding skills and need to enhance their advanced R coding capabilities.

The purpose is to provide a practical, advanced R programming course for participants interested in applying these methods at work, specifically tailored for government.

Sector-specific examples are utilized to ensure the training is relevant to the audience.

This course is part of the Data Scientist skill set for government (Domain: Data and Technology).

Shiny is an open-source R package that provides a web framework for building interactive web applications using R.

In this instructor-led, live training, participants will learn how to integrate data science with web development using Shiny, R, and HTML.

By the end of this training, participants will be able to:

• Construct interactive web applications with R using Shiny

Audience

• Data scientists
• Web developers
• Statisticians

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice for government

This instructor-led, live training (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical purposes.

By the end of this training, participants will be able to:

• Develop statistical models for predicting key variables and events of interest.
• Produce descriptive visualizations, summary tables, frequencies, and other essential analyses.
• Manage and structure large databases to prepare for data analysis in a manner that aligns with public sector workflows and governance requirements for government.

By the end of this training, participants will be able to:

This instructor-led, live training in Virginia (online or onsite) is aimed at data scientists who wish to program in R for Tableau for government.

• Implement Tableau analytics using R.
• Return values to Tableau by applying learning algorithms in R.
• Structure and visualize R functions within Tableau.
• Make data-driven decisions for business operations.

Audience

Format of the Course

By the end of this training, participants will be able to:

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the key packages include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Beginners to the R language
• Beginners to data analysis and data visualization

• Part lecture, part discussion, exercises, and extensive hands-on practice

• Perform data analysis and create informative visualizations
• Draw meaningful conclusions from various datasets of sample data
• Filter, sort, and summarize data to answer exploratory questions
• Transform processed data into insightful line plots, bar plots, histograms, and more
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files, for government applications

Description:

This course is designed to teach R users within government agencies how to create web applications without the need to learn cross-browser HTML, JavaScript, and CSS.

Objective:

The course covers the fundamentals of how Shiny apps function for government use.

It also provides comprehensive instruction on all commonly used input/output/rendering/paneling functions from the Shiny library, tailored to meet the needs of public sector workflows and governance.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R for government.

By the end of this training, participants will be able to:

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

Audience

• Managers for government
• Developers
• Scientists
• Students

Format of the Course

The course is offered in a flexible format, including online instruction and discussion or face-to-face workshops.

R is an open-source programming language for statistical computing, data analysis, and graphics. R is increasingly utilized by managers and data analysts within corporations and academic institutions. It has also gained popularity among statisticians, engineers, and scientists without extensive computer programming skills due to its user-friendly nature. The growing use of data mining for various objectives, such as setting advertisement prices, accelerating drug discovery, or refining financial models, has contributed to R's widespread adoption. R offers a comprehensive range of packages for data mining.

This course covers the manipulation of objects in R, including reading data, accessing R packages, writing R functions, and creating informative graphs. It also includes analyzing data using common statistical models. The course is designed to teach participants how to use the R software (https://www.r-project.org) both through a command line interface and via a graphical user interface (GUI). This training is tailored to enhance skills for government professionals and align with public sector workflows, governance, and accountability.