Data Science with Tableau and R Programming Training Course

This instructor-led, live training in US (online or onsite) is designed for intermediate-level advanced R users who seek to leverage R to streamline workflows, enhance code quality, and address complex analytical challenges. This curriculum provides essential capabilities for government professionals requiring robust data science tools.

Upon completion of this training, participants will be equipped to develop reusable functions, optimize data pipelines, debug and enhance code performance, and generate reproducible reports.

The term Big Data denotes technologies designed to manage and analyze extensive volumes of information. Originating from initiatives at Google, these frameworks have advanced significantly and spurred the development of numerous open-source alternatives. Additionally, R remains a widely adopted programming language within the financial sector, providing robust tools for data analysis.

This guided, interactive instructional program in US (available via remote or in-person delivery) is designed for entry-level data analysts seeking to leverage R programming for data manipulation, foundational analytical procedures, and the development of insightful visualizations. This curriculum is particularly relevant for government professionals tasked with data-driven decision-making.

Upon completion of this instructional series, participants will demonstrate the ability to:

• Grasp the core principles of R Programming.
• Implement essential data science methodologies.
• Generate visual representations of analytical findings.

Data analytics serves as a fundamental component of modern organizational strategy. This curriculum emphasizes the development of practical, hands-on competencies in data analysis to enable participants to formulate evidence-based responses to complex inquiries:

What has occurred?

• The processing and examination of data sets
• The creation of informative data visualizations for government

What is expected to occur?

• Forecasting future operational performance
• Evaluating the accuracy of projections

What actions should be taken?

• Leveraging data to inform strategic decision-making
• Optimizing operational processes for efficiency

This instructor-led, live training in US (online or onsite) is designed for entry-level professionals seeking to clean and analyze data, develop statistical forecasts, and produce actionable visualizations using these tools. The curriculum is tailored for government agencies and public sector entities looking to enhance their analytical capabilities.

Upon completion of this training, participants will be able to:

• Grasp fundamental concepts of Python, R, Power Query, and Power BI for data analysis.
• Clean and structure datasets utilizing Python and Power Query.
• Execute statistical analysis and forecasting using R.
• Develop professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from diverse sources.

R is a widely utilized, open-source platform designed for statistical computing, data analytics, and graphical representation. This instructional module provides an introduction to the R programming language, encompassing foundational syntax, library utilization, and sophisticated analytical techniques. The curriculum emphasizes advanced data processing and visualization methodologies applied to practical datasets, specifically tailored for government personnel.

Audience

Software engineers and data analytics professionals

Duration

3 days

Format

Instructional lectures and practical exercises

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.

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.

This instructor-led, live training in US (online or onsite) is designed for data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.

Upon completion of this training, participants will be able to:

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This guided, synchronous training program, offered via US (remote or in-person), targets entry-level to mid-tier data analysts seeking to leverage Tableau Desktop for converting unprocessed information into actionable intelligence through visual formats like charts, graphs, maps, and tables. This curriculum is designed for government professionals who require precise data interpretation capabilities.

Upon completion of this training, participants will be equipped to:

• Establish connections with diverse data repositories, including Excel files, CSV documents, relational databases, and cloud environments, while distinguishing between real-time live connections and static extracts.
• Execute data preparation and cleaning protocols, such as renaming attributes, managing missing values, and merging datasets via joins and blends.
• Construct fundamental visual elements, including tables, bar charts, line graphs, and maps, and implement filters to optimize data clarity.
• Develop intermediate-level visualizations featuring geographic mapping, dual-axis charts, and the strategic application of hierarchies, groups, and sets to deepen analytical depth.
• Create calculated fields and parameters to generate dynamic, customized visuals that respond to user inputs and logical functions.
• Design interactive dashboards and narrative stories by integrating multiple visual components and filters to convey a coherent analytical storyline.

The Tableau Explorer role within Tableau Cloud is tailored for users who engage with dashboards, apply filters, create views, and collaborate with teams using published data sources. This role supports efficient information sharing for government agencies.

This instructor-led, live training (online or onsite) targets beginner to intermediate business users who wish to explore, filter, and interact with data using Tableau Explorer in Tableau Cloud.

Upon completion 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.

Upon completion of this course, learners will achieve the following competencies:

This live, instructor-led program, delivered at US (online or in-person), is designed for mid-level digital forensics and cybersecurity practitioners seeking a thorough grasp and hands-on proficiency with Tableau Forensic Imager for forensic applications. The curriculum supports capabilities essential for government agencies and other authoritative entities by providing advanced training tailored for government operations.

• Comprehend the significance and function of digital forensic imaging within investigative processes.
• Utilize Tableau Forensic Imager to generate forensically valid disk images.
• Implement industry-standard protocols for the handling and preservation of digital evidence.
• Proficiently use the software interface to configure, initiate, and oversee imaging operations.
• Evaluate and verify forensic images to guarantee data integrity and legal admissibility.

This instructor-led, live training program in US (online or onsite) is designed for data analysts and scientists who intend to search, analyze, and visualize information using Tableau. The curriculum has been tailored for government professionals seeking to enhance their analytical capabilities.

Upon completion of this training, participants will be able to:

• Establish connections to relevant data sources.
• Edit and preserve data source configurations.
• Demonstrate proficiency in standard Tableau terminology.
• Leverage the Tableau interface to produce comprehensive visual analytics.
• Develop complex calculations, including arithmetic operations, custom aggregations and ratios, date-based computations, and table-level calculations.
• Utilize various visualization formats to represent data accurately.
• Construct dashboards for the dissemination of visual insights.

This instructor-led live training in US (online or onsite) is intended for data analysts at the beginner-to-intermediate proficiency level who seek practical expertise in Tableau Prep Builder and core mapping capabilities within Tableau to resolve data preparation and visualization challenges. Designed for government professionals, this program supports rigorous analytical workflows.

Upon completion of this instruction, participants will be capable of:

• Establishing connections with diverse data sources, encompassing cloud-based platforms and local files, while managing both live and extracted data connections.
• Executing data fusion and combination through advanced joining methodologies to integrate multiple datasets from disparate origins for enhanced analysis.
• Developing calculated fields and executing operations to dynamically manipulate and analyze data.
• Publishing and updating prepared datasets to Tableau Server or Tableau Online, facilitating automated updates and scheduled processing.
• Constructing basic and advanced geographic maps, including filled maps, density maps, and dual-axis maps.
• Implementing mapping techniques to address complex operational requirements by producing interactive, detailed geographic visualizations.

This instructor-led, live training in US (delivered online or onsite) is intended for advanced data professionals seeking to leverage Tableau for complex visualizations, dashboard optimization, and sophisticated data analysis.

Upon completion of this course, participants will be equipped to install and configure Tableau for enterprise-grade applications, develop advanced calculations, design interactive dashboards, and enhance system performance. This curriculum is designed specifically for government entities requiring specialized analytics capabilities for government operations.

This intensive four-day instructional program is designed for individuals new to Tableau. Participants will acquire proficiency in essential Tableau functionalities and develop the skills necessary to generate and distribute data visualizations. The curriculum provides comprehensive instruction on connecting to datasets, formulating calculations, selecting appropriate graphical representations, constructing dashboards, and publishing final outputs.

The training structure consists of theoretical lectures addressing specific subject matter, followed by applied practical exercises. The program concludes with a 30-minute assessment and a 60-minute project assignment. This curriculum is particularly suitable for professionals requiring tailored solutions for government

Course milestones:

• Gain proficiency in the Tableau interface.
• Establish connections to data sources and perform data operations.
• Utilize core Tableau capabilities.
• Create meaningful visual analytics.
• Distribute insights to a wider stakeholder base.

Course Delivery Method:

• Engaging lectures and structured discussion.
• Extensive exercises and repetitive practice.
• Practical application within a live laboratory environment.
• Comprehensive knowledge assessment and practical project evaluation at the conclusion of the training