Statistics Training in Provo

This instructor-led, live training in Provo (online or onsite) is designed for intermediate-level engineers and designers who wish to utilize Design for Six Sigma (DFSS) to ensure quality is integrated into the product or process from the initial design phase. By the end of this training, participants will be able to: - Understand the principles and concepts of Design for Six Sigma (DFSS). - Learn the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies. - Apply DFSS tools and techniques to design and optimize processes. - Develop the skills necessary to manage and lead DFSS projects effectively for government applications.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to gain an in-depth understanding of the Six Sigma DMAIC methodology at a Black Belt level for government. By the end of this training, participants will be able to: - Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases with a focus on complex projects. - Gain expertise in advanced statistical analysis techniques for data-driven decision-making. - Lead large-scale Six Sigma projects and manage project teams effectively within public sector environments. - Implement significant process improvements that align with organizational goals and strategies for government.

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 Provo (online or onsite) is aimed at intermediate-level professionals who wish to gain a comprehensive understanding of the DMAIC methodology and prepare for the role of effective Six Sigma Green Belts for government. By the end of this training, participants will be able to: - Acquire a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma. - Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC. - Conduct and interpret statistical analyses for process improvement. - Plan, execute, and manage a Six Sigma project.

This instructor-led, live training (online or onsite) is designed for beginner-level professionals who seek a foundational understanding of Six Sigma and Lean principles to integrate these methodologies and enhance business processes. By the end of this training, participants will be able to: - Gain a comprehensive understanding of Lean Six Sigma principles. - Apply Six Sigma methodologies to improve process quality by eliminating the causes of defects and reducing variability. - Combine Lean and Six Sigma techniques to achieve more efficient and effective process improvements. - Teach basic Lean Six Sigma tools and techniques that Yellow Belts can use in process improvement projects, such as 5S, Kaizen, and process mapping, specifically tailored for government applications.

This instructor-led, live training (conducted either online or onsite) is designed for intermediate-level professionals who aim to understand both Six Sigma and Lean principles in order to lead significant process improvement initiatives within their organizations. By the end of this training, participants will be able to: - Develop a comprehensive understanding of how Lean and Six Sigma methodologies can be integrated for effective process improvement. - Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control (DMAIC) phases. - Apply advanced statistical tools for data-driven decision-making and process analysis. - Lead and manage Lean Six Sigma projects effectively, ensuring alignment with public sector workflows and governance standards for government.

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 Provo (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.

This instructor-led, live training in Provo (online or onsite) is designed for advanced-level professionals who wish to acquire the skills necessary to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean implementations. By the end of this training, participants will be able to: - Gain a comprehensive understanding of advanced Six Sigma and Lean methodologies and tools. - Lead intricate process improvement initiatives that are aligned with organizational strategies. - Conduct sophisticated statistical analyses and make decisions based on data. - Effectively spearhead change efforts and foster a culture of continuous improvement for government.

This instructor-led, live training in [location] (online or onsite) is designed for government professionals at the beginner level who wish to deepen their understanding of the Six Sigma methodology and its principles, as well as master the DMAIC process. By the end of this training, participants will be able to: - Gain a comprehensive knowledge that extends beyond the basic principles covered in the White Belt course. - Master the DMAIC process and learn advanced Six Sigma tools. - Effectively contribute to a Six Sigma project team and collaborate with Green and Black Belts. - Apply Six Sigma methodologies to real-world business processes for government improvement.

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 (available online or onsite) is designed for beginner-level professionals who wish to gain a foundational understanding of the Six Sigma methodology and its core principles. By the end of this training, participants will be able to: - Comprehend the fundamentals of Six Sigma and the DMAIC process. - Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project for government. - Apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.

This instructor-led, live training (conducted online or onsite) is designed for government scientists who wish to learn and apply the Design of Experiments (DoE) methodology to understand the cause-and-effect relationships between multiple factors. By the end of this training, participants will be able to: - Recognize the benefits of designed experiments compared to other approaches. - Comprehend the cause-and-effect relationships and interactions between variables. - Master best practices and guidelines for conducting successful experimentation for government projects.

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.

This instructor-led, live training in Provo (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

This training program for government professionals delivers advanced methodologies for financial data analysis within Microsoft Excel. The curriculum emphasizes the automation of complex calculations and reporting processes, covering essential topics such as financial functions, INDEX-MATCH operations, database queries, PivotTables, PivotCharts, and external data integration. Participants will learn to utilize Goal Seek, Solver, the Analysis ToolPak, and VBA macros to streamline recurring administrative workflows. The instruction aims to enable federal employees to convert raw financial data into actionable insights and precise forecasts that support strategic planning objectives for government entities.

This instructor-led, live training in Provo (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.

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.

This course is designed for individuals who already possess a background in data science and statistics. The content is structured to serve as a refresher for those familiar with these concepts or to provide further insight to professionals with a relevant foundation. This approach ensures that the material aligns effectively with the needs of participants, enhancing their capabilities for government and other sectors requiring advanced analytical skills.

This instructor-led, live training in Provo (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.

This course is designed to offer a thorough introduction to Minitab, a robust statistical software package widely utilized for data analysis and quality improvement. Participants will gain the skills necessary to import, manipulate, and analyze data effectively. Additionally, they will learn how to create basic graphical displays of data. Upon completion of the course, participants will be proficient in using Minitab to conduct fundamental statistical analyses, including hypothesis testing and confidence intervals, which are essential for government and other organizational workflows.

Minitab serves as the foundational platform for enhancing the integrity of statistical analysis, providing essential support for quality assurance and evidence-based decision-making within federal operations. This module addresses fundamental methodologies, including descriptive statistics, distribution modeling, regression analysis, experimental design, and control charting for ongoing process monitoring. Participants will gain the capability to implement confidence intervals, hypothesis testing, and analysis of variance protocols, thereby extracting actionable intelligence from complex data environments to support governance and accountability initiatives for government agencies.

This instructor-led, live training, offered either online or on-site, is designed for process department personnel and operations team members who aim to achieve proficiency in practical process improvement techniques utilizing Six Sigma principles and BPMN 2.0 modeling. The training aligns with the needs of government agencies by enhancing process efficiency and ensuring compliance with public sector workflows and governance standards.

Statistics Level 1 provides data professionals with essential statistical methodologies and metrics. The curriculum addresses data visualization, the characterization of distribution patterns, and the application of normal distribution principles. Participants learn to compute critical analytical indicators, such as the mean, median, mode, standard deviation, and variance. This training establishes the foundational competencies required to manage empirical datasets and generate evidence-based outcomes, serving as a critical resource for individuals seeking to build a rigorous quantitative framework for data science and analytics, particularly for government workforce development initiatives.

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.

This instructor-led, live training in Provo (online or onsite) is designed for advanced-level data professionals who seek to enhance their skills in using Tableau to construct complex visualizations, optimize dashboards, and conduct advanced data analysis for government applications.

By the end of this training, participants will be able to: install and configure Tableau for advanced use, develop sophisticated calculations, design interactive dashboards, and improve performance optimization.

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 Provo (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.