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-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for government internal documentation, research publications, or web publishing. 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 us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for government data analysts and individuals interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. 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 data-driven decisions to enhance business operations for government.

This instructor-led, live training in Virginia (online or onsite) is designed for beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools. By the end of this training, participants will be able to: - Understand the basics of Python, R, Power Query, and Power BI for government data analysis. - Clean and organize datasets using Python and Power Query. - Perform statistical analysis and projections with R. - Create professional dashboards and reports with Power BI. - Integrate and analyze data from multiple sources effectively.

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 in a government context. By the end of this training, participants will be able to: - Create interactive web applications using Shiny and R. - 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. **Format of the Course** - Interactive lecture and discussion. - Numerous exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** - To request a customized training for this course, tailored to specific government needs, please contact us to arrange.

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

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

• Effectively utilize Stata for data analysis and statistical modeling in public sector projects.
• Compare Stata’s functionalities with those of SPSS and R to make informed decisions for government workflows.
• Integrate Stata with R to enhance statistical computing capabilities for government initiatives.
• Develop and automate workflows using Stata and R to improve efficiency and accuracy in public sector tasks.

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

Audience

Developers and Data Analysts for government

Duration

3 days

Format

Lectures and Hands-on Exercises

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 (online or onsite) is designed for government data analysts who wish to program in R for Excel. By the end of this training, participants will be able to: - Transfer and manipulate data between Excel and R. - Utilize R Tidyverse and other R features for data analytic solutions in Excel. - Enhance their data analytical capabilities by learning R for government applications.

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 addresses advanced topics in R programming for government applications.

This instructor-led, live training (online or onsite) is aimed at business analysts who wish to automate trade processes using 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 monitor stock prices and execute trades accordingly.

Big Data refers to technologies and solutions designed for storing and processing extensive data sets. Initially developed by Google, these Big Data solutions have since advanced and inspired numerous similar initiatives, many of which are now available as open-source projects. The programming language R is widely used in the financial sector and can also be leveraged for government applications to enhance data analysis and decision-making processes.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level data analysts who wish to utilize R programming to manage data, conduct basic data analysis, and produce insightful visualizations. By the end of this training, participants will be able to: - Grasp the fundamentals of R Programming. - Implement essential data science methodologies. - Generate visual representations of data to support decision-making for government.

R is an open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by managers and data analysts in both the corporate and academic sectors. Additionally, R has gained traction 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 largely attributed to the expanding use of data mining for various objectives, including setting advertising prices, accelerating drug discovery, and refining financial models. R offers a comprehensive array of packages specifically tailored for data mining applications, making it a valuable tool for government and other sectors that rely on robust data analysis.

This instructor-led, live training in [location] (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis for government. By the end of this training, participants will be able to: - Utilize cluster analysis for data mining. - Master R syntax for clustering solutions. - Implement both hierarchical and non-hierarchical clustering techniques. - Make data-driven decisions to enhance operational efficiency in public sector workflows.

This instructor-led, live training (online or onsite) is designed for beginner-level professionals who wish to gain a comprehensive understanding of the fundamentals of R and how to work with data for government applications. By the end of this training, participants will be able to: - Understand the R programming environment and the RStudio interface. - Import, manipulate, and explore datasets using R commands and packages. - Perform basic statistical analysis and data summarization. - Generate visualizations using both base R and ggplot2. - Manage workspaces, scripts, and packages effectively for government use.

R is an open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly utilized by managers and data analysts in both the corporate sector and academic institutions. R offers a broad range of packages that facilitate data mining, making it a valuable tool for government and other public sector applications.

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

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

• Plan, build, and deploy machine learning models in KNIME for government projects.
• Make data-driven decisions for operational improvements.
• Implement end-to-end data science projects within 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 develop a real-world application. By the end of this training, participants will be able to: - Understand and implement unsupervised learning techniques. - Apply clustering and classification methods to make predictions based on real-world data. - Visualize data to quickly gain insights, make decisions, and further refine analysis. - Improve the performance of a machine learning model using hyper-parameter tuning. - Deploy a model into production for use in a larger application. - Apply advanced machine learning techniques to address questions involving social network data, big data, and more, ensuring alignment with public sector workflows and governance for government.

R is an open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly utilized by managers and data analysts in both the public and private sectors, including academia. R has also gained traction among statisticians, engineers, and scientists who may not have formal computer programming skills due to its user-friendly nature. The growing popularity of R can be attributed to its effectiveness in data mining for a range of objectives, such as optimizing advertising prices, accelerating drug discovery, and refining financial models. R offers a comprehensive array of packages that support robust data mining capabilities, making it a valuable tool for government and other organizations seeking to enhance their analytical processes.

R is an open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by managers and data analysts in both the public and private sectors, including academia. R has also gained popularity among statisticians, engineers, and scientists who may not have extensive computer programming skills due to its user-friendly nature. The rising demand for data mining across various fields, such as setting advertisement prices, accelerating drug discovery, or refining financial models, has contributed to R's growing use. R offers a comprehensive array of packages specifically tailored for data mining, enhancing its utility and versatility for government and other organizational needs.

This course provides an introduction to utilizing neural networks for solving real-world problems with R-project software. It is designed to equip participants with the skills necessary to apply these advanced techniques effectively and efficiently, particularly in contexts relevant to government operations and data analysis.

This course is designed for data scientists and statisticians who already possess fundamental R and C++ coding skills and are looking to enhance their advanced R programming abilities. The objective is to provide a practical, advanced R programming course for participants interested in applying these methods in their professional roles. Sector-specific examples are utilized to ensure the training is pertinent to the audience, aligning with the needs of professionals working in various fields, including those for government.

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

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

This instructor-led, live training is designed to equip participants with the skills needed to integrate data science and 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

• The course combines lectures, discussions, and practical exercises with extensive hands-on practice to ensure a comprehensive learning experience.

This training is tailored to support public sector workflows, governance, and accountability for government professionals seeking to enhance their data visualization capabilities.

This instructor-led, live training (available online or on-site) is designed for government data analysts who wish to utilize Stata and R to conduct statistical analysis of big data. By the end of this training, participants will be able to: - Develop statistical models for predicting key variables and events. - Produce descriptive visualizations, summary tables, frequencies, and other relevant outputs. - Organize and manage large datasets to prepare for comprehensive data analysis for government purposes.

By the end of this training, participants will be able to: This instructor-led, live training (online or onsite) is designed for government data scientists who wish to program in R for Tableau. - 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 to enhance business operations for government.

**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 designed for cleaning, processing, modeling, and visualizing data. Key packages include ggplot2, dplyr, tidyr, readr, purrr, and tibble. - **Target Audience:** - Beginners to the R language - Beginners to data analysis and data visualization - **Course Format:** - Part lecture, part discussion, exercises, and extensive hands-on practice - **Learning Objectives:** - Perform data analysis and create compelling visualizations - Draw meaningful conclusions from various datasets of sample data - Filter, sort, and summarize data to answer exploratory questions - Transform processed data into informative line plots, bar plots, and histograms - Import and filter data from a variety of sources, including Excel, CSV, and SPSS files This training is designed to equip participants with the skills necessary for effective data manipulation and visualization, aligning with the needs and standards required for government data analysis.

Description:

This course is designed to equip R users with the skills needed to develop web applications without requiring a deep understanding of cross-browser HTML, JavaScript, and CSS.

Objective:

The course provides an overview of how Shiny apps function, ensuring participants understand the foundational concepts.

It covers all commonly used input, output, rendering, and paneling functions from the Shiny library, enabling users to create effective web applications for government use.

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 available in two formats: online instruction and discussion, or face-to-face workshops.

R is an open-source programming language designed for statistical computing, data analysis, and generating graphics. It is increasingly utilized by managers and data analysts in both corporate and academic environments. R has also gained traction among statisticians, engineers, and scientists who may lack formal computer programming skills due to its user-friendly nature. The growing popularity of R can be attributed to the expanding use of data mining for various objectives, such as setting advertisement prices, accelerating drug discovery, or refining financial models. R offers a broad range of packages tailored for data mining applications. This course provides comprehensive instruction on manipulating objects in R, including reading data, accessing R packages, writing R functions, and creating informative graphs. It covers the analysis of data using common statistical models. Participants will learn to use the R software (https://www.r-project.org) both through command-line interfaces and graphical user interfaces (GUIs). This training is designed to enhance data analysis capabilities for government and other public sector workflows, ensuring alignment with governance and accountability standards.