Shiny, R and HTML: Merging Data Science and Web Development Training Course

This instructor-led, live training in US (online or onsite) is designed for intermediate-level advanced R users who aim to enhance their skills in building faster workflows, improving code quality, and managing more complex analysis tasks for government.

By the end of this training, participants will be able to create reusable functions, optimize data workflows, debug and refine code, and generate reproducible reports.

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.

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

This instructor-led, live training in US (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.

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

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.

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.

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 US (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.

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

**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.