Course Outline

Day One

  1. Introduction to R and RStudio (2 hours)
    • Enhancing the user experience with R and graphical user interfaces (GUIs)
    • Overview of RStudio for government use
    • Scripting in RStudio for efficient workflow management
    • Navigation, sections, and code folding features in RStudio
    • Troubleshooting and debugging techniques in RStudio
    • Related software and documentation resources
    • Accessing help for functions and features within RStudio
    • Managing projects in RStudio for government
    • Creating analytical reports using RStudio
    • Utilizing keyboard shortcuts and advanced features in RStudio
  2. Importing and Exporting Data (1 hour)
    • Working with flat files such as txt and csv formats
    • Handling spreadsheet files including xls and xlsx formats
    • Importing data from SPSS, SAS, and other statistical software formats
    • Accessing data from SQL data sources for government applications
    • Performing SQL database connectivity and operations in R
  3. Organizing Data (2 hours)
    • Understanding data types and classes in R
    • Storing data in R using the Rdata format
    • Exploring object structures in R
    • Working with numbers and vectors for government datasets
    • Utilizing matrices and tables for data organization
    • Managing factors in data analysis
    • Using lists to store complex data structures
    • Working with data frames for comprehensive data management
    • Handling date and time variables in R
  4. Tabular Representation (3 hours)
    • Overview of packages for data tables: dplyr, tidyr, and data.table
    • Utilizing indexes and subscripts for data manipulation
    • Selecting and subsetting observations and variables
    • Filtering and grouping data for analysis
    • Performing recoding transformations in R
    • Reshaping data structures for better analysis
    • Merging datasets for comprehensive reporting
    • Character manipulation using the stringr package
    • Applying regular expressions for text processing

Day Two

  1. Related Software and Documentation (1 hour)
    • Integrating RStudio with GIT for version control in government projects
    • Using Markdown for creating dynamic documents
    • Generating reports and presentations with LaTeX
    • Developing Shiny web applications for interactive data visualization
  2. R and Statistics (2 hours)
    • Understanding probability and normal distribution in statistical analysis
    • Generating random numbers for simulations
    • Performing descriptive statistics for data summarization
    • Standardizing and normalizing data for consistent analysis
    • Calculating confidence intervals to assess uncertainty
    • Conducting hypothesis testing to make informed decisions
    • Applying ANOVA for comparing multiple groups
    • Analyzing qualitative data using appropriate methods
  3. Linear Regression (2 hours)
    • Interpreting correlation coefficients in linear regression models
    • Performing simple and multiple linear regression for predictive analytics
    • Using least squares estimation methods for model fitting
    • Validating models to ensure assumptions are met
    • Selecting variables using various approaches for improved model accuracy
    • Applying regularization techniques such as ridge and lasso regression
    • Extending linear regression with generalized least squares for nonlinearity
    • Conducting logistic regression for binary outcomes
  4. Graphical Procedures (2 hours)
    • Creating basic plots for single variables
    • Visualizing relationships between two or more variables
    • Customizing graphical parameters for enhanced clarity
    • Generating special plots for specific data insights
    • Exporting plots to png, pdf, and jpeg formats for reports
    • Enhancing graphical capabilities with the ggplot2 package
  5. Help in R (1 hour)
    • Navigating the documentation resources within R
    • Utilizing R packages and their associated documentation
    • Searching for problem solutions using R Cran Task View

Requirements

There are no specific prerequisites required to enroll in this course for government employees.
 14 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (1)

that i was getting my all answers and knowledge i want.

Ismail Ahli - Dubai Civil Aviation Authority
Course - R for Statistical Analysis

Upcoming Courses

R for Statistical Analysis

2026-03-12 09:30
14 hours
Cincinnati, OH - Regus - Downtown - PNC Center
$ 2703 (Online)
$ 3903 (Classroom)

R for Statistical Analysis

2026-03-26 09:30
14 hours
Cleveland, OH - Regus at 9th Street
$ 2703 (Online)
$ 3903 (Classroom)

R for Statistical Analysis

2026-04-09 09:30
14 hours
Concord, NH – Regus at Foundry St
$ 2703 (Online)
$ 3903 (Classroom)

R for Statistical Analysis

2026-04-23 09:30
14 hours
Des Moines, IA - Hub Tower
$ 2703 (Online)
$ 3903 (Classroom)

Related Courses

Programming with Big Data in R

 21 Hours
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.
Read more...

R Fundamentals

 21 Hours
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.
Read more...

Econometrics: Eviews and Risk Simulator

 21 Hours
This instructor-led, live training in [location] (online or onsite) is aimed at individuals who wish to learn and master the fundamentals of econometric analysis and modeling for government. By the end of this training, participants will be able to: - Understand and apply the core principles of econometrics. - Utilize Eviews and risk simulation tools effectively.
Read more...

Forecasting with R

 14 Hours

This instructor-led, live training in US (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.
Read more...

HR Analytics for Public Organisations

 14 Hours

This instructor-led, live training (online or onsite) is designed for HR professionals who aim to utilize analytical methods to enhance organizational performance. The course covers both qualitative and quantitative approaches, including empirical and statistical techniques.

Format of the Course

  • Interactive lectures and discussions.
  • Extensive exercises and practical applications.

Course Customization Options

  • For government agencies or organizations requiring a tailored training experience, please contact us to arrange customized sessions.
Read more...

Marketing Analytics using R

 21 Hours

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.

Read more...

R for Data Analysis and Research

7 Hours

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.

Read more...

Introduction to R

 21 Hours
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.
Read more...

Introductory R for Biologists

 28 Hours
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.
Read more...

R

 21 Hours
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.
Read more...

Neural Network in R

 14 Hours
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.
Read more...

Advanced R Programming

 7 Hours
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.
Read more...

Statistical Analysis using SPSS

 21 Hours
This instructor-led, live training in [location] (online or onsite) is designed for government professionals at the beginner to intermediate level who wish to perform statistical analysis using SPSS to interpret data accurately, run complex statistical tests, and generate meaningful insights. By the end of this training, participants will be able to: - Navigate the SPSS interface and manage datasets efficiently. - Perform descriptive and inferential statistical analyses. - Conduct t-tests, ANOVA, MANOVA, regression, and correlation analyses. - Apply non-parametric tests, principal component analysis, and factor analysis for advanced data interpretation. This training is tailored to enhance the analytical capabilities of professionals working in government roles, ensuring they can effectively utilize SPSS for government-related data analysis.
Read more...

Introduction to Data Visualization with Tidyverse and R

 7 Hours
**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.
Read more...

Building Web Applications in R with Shiny

 7 Hours

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.

Read more...

Related Categories

Statistics
Statistics