Data Science with Tableau and R Programming Training Course

This course provides an in-depth understanding of human perception and its application in delivering insightful data visualizations for government. Participants will become acquainted with key design theories, including Gestalt Laws, pre-attentive attributes, and principles of inclusivity. The curriculum also covers the distinctions between exploratory and explanatory analysis, ensuring a comprehensive grasp of both approaches. Additionally, students will explore various chart types and learn to select the most appropriate visualization for their data. By the end of the course, participants will be equipped to implement these design principles in visualizations created using Tableau software for government use.

This instructor-led, live training (online or onsite) is designed for government data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform advanced data analysis, processing, and visualization. By the end of this training, participants will be able to: - Set up the necessary environment to conduct data analysis using SQL, Python, and Tableau. - Understand key concepts of software integration, including data management, server configurations, client applications, APIs, and endpoints. - Review the fundamentals of Python and SQL. - Implement data pre-processing techniques in Python. - Connect Python and SQL for comprehensive data analysis. - Generate insightful data visualizations and charts using Tableau. This training is tailored to enhance the capabilities of professionals working in government agencies, ensuring they are equipped with the latest tools and techniques for effective data-driven decision-making.

During the course, you will be able to: This is a beginner-level Tableau user course designed for anyone looking to work with data. It is tailored to help you utilize the primary functions in Tableau effectively. - Connect to your data sources. - Edit and save a data source. - Understand key Tableau terminology. - Use the Tableau interface to create powerful visualizations efficiently. - Perform basic calculations, including arithmetic operations, custom aggregations and ratios, date manipulations, and quick table calculations. - Represent your data using various visualization types: - Cross-tabs - Geographic maps - Heat maps - Tree maps - Pie charts and bar charts - Dual-axis and combined charts with different mark types - Highlight tables - Scatter plots - Build dashboards to share visualizations effectively. This course is structured to enhance your data visualization skills, ensuring they align with the needs for government and other public sector workflows.

This instructor-led, live training in US (online or onsite) is designed for beginner-level professionals who wish to utilize Tableau to create data visualizations and interactive dashboards for government use.

By the end of this training, participants will be able to connect to data sources, construct visualizations, design dashboards, and apply fundamental data analysis techniques.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to use Tableau Desktop to transform raw data into meaningful insights through graphical representations such as charts, graphs, maps, and tables. By the end of this training, participants will be able to: - Connect to multiple types of data sources, including Excel, CSV, databases, and cloud-based platforms, and understand the distinctions between live and extract connections. - Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets through joins and blends. - Create basic visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations. - Develop intermediate visualizations, including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis. - Build calculated fields and parameters to create dynamic and customized visualizations based on user inputs and logic functions. - Design interactive dashboards and stories, incorporating multiple visualizations and filters to tell a cohesive narrative for government use.

Tableau Explorer is a licensing level in Tableau Cloud designed for users who engage with dashboards, apply filters, create views, and collaborate with teams using published data sources.

This instructor-led, live training (online or onsite) is aimed at business users at the beginner to intermediate levels who wish to explore, filter, and interact with data using Tableau Explorer in Tableau Cloud for government applications.

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

• Navigate Tableau dashboards and shared workbooks confidently.
• Apply filters, drill down, and export data from dashboards.
• Create saved views and custom alerts based on data changes.
• Collaborate with team members using comments, subscriptions, and shared views.

Format of the Course

• Interactive lecture and demonstration.
• Hands-on exercises using shared dashboards and published content.
• Real-time practice in Tableau Cloud with guided exploration.

Course Customization Options

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

In this instructor-led, live training session, participants will learn how to enhance the capabilities of Tableau to meet the specific needs of their organization. This training is designed to align with public sector workflows, governance, and accountability standards. By the end of this training, participants will be able to: - Install and configure Tableau (Desktop, Server, Online). - Understand the foundational principles of developing with Tableau. - Create and publish data visualizations and interactive dashboards using Tableau. - Utilize Tableau’s developer tools and APIs to customize and extend the capabilities of Tableau for government use.

By the end of this training, participants will be able to: This instructor-led, live training (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals who seek a comprehensive understanding and practical skills in using Tableau Forensic Imager for government. - Understand the role and importance of digital forensic imaging in investigations. - Operate Tableau Forensic Imager to acquire forensically sound images. - Apply best practices in handling and preserving digital evidence. - Navigate the software interface to configure, execute, and manage imaging tasks. - Analyze and validate forensic images to ensure integrity and admissibility in court.

This instructor-led, live training in US (online or onsite) is designed for government data analysts and data scientists who wish to search, analyze, and visualize data using Tableau. By the end of this training, participants will be able to: - Connect to their data sources. - Edit and save a data source. - Understand Tableau terminology. - Utilize the Tableau interface to effectively create powerful visualizations. - Create calculations, including arithmetic operations, custom aggregations and ratios, date mathematics, and table calculations. - Represent data using various visualization types. - Build dashboards to share visualizations for government use.

This instructor-led, live training (online or onsite) is designed for government data analysts who wish to prepare and shape data using Tableau Prep Builder. By the end of this training, participants will be able to: - Install Tableau Prep. - Understand and implement a Data Science Workflow for government use. - Read data from various sources, including Excel and databases. - Prepare, shape, and sample data for analysis in Tableau Desktop. - Explore and validate data effectively. - Create and publish Tableau Prep flows.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to gain practical knowledge of Tableau Prep Builder and essential mapping functionalities in Tableau to address data preparation and visualization challenges for government. By the end of this training, participants will be able to: - Connect to a variety of data sources, including cloud-based and local files, and manage live and extracted data connections. - Perform data fusion and combination using advanced joining techniques to merge multiple datasets from different sources for better analysis. - Create calculated fields and perform operations to manipulate and analyze data dynamically. - Publish and update prepared data to Tableau Server or Tableau Online, enabling automated updates and scheduling. - Create basic and advanced maps with geographic data, including filled maps, density maps, and dual-axis maps. - Apply mapping techniques to solve real-world government challenges by creating interactive, detailed geographic visualizations.

Tableau is a powerful business intelligence and data visualization tool, while Python is a widely used programming language that supports a broad range of statistical and machine learning techniques. When combined, Tableau's data visualization capabilities and Python's advanced analytics functions enable the rapid development of sophisticated data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to integrate Tableau and Python using the TabPy API to perform advanced analytics. By the end of this training, participants will be able to: - Integrate Tableau and Python using the TabPy API - Utilize the integration of Tableau and Python to analyze complex business scenarios with minimal Python code **Audience** - Developers - Data Scientists **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice for government applications.

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

This instructor-led, live training in US (online or onsite) is aimed at intermediate to advanced-level data architects who wish to acquire skills for installing, configuring, managing, and maintaining a Tableau server for government.

• Gain an in-depth understanding of the Tableau Server architecture.
• Comprehend Tableau Server processes and functions.
• Utilize Tableau Server to automate tasks.
• Configure and manage the Tableau Server effectively.
• Set up Tableau Server for high availability and scalability to meet government needs.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: - Connect multiple sources of data. - Create basic data visualizations. - Use calculations ranging from basic to advanced for data analysis. - Understand best practices for using graphs and visualizations for government applications.

**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.