Tableau Explorer: Interactive Data Analysis and Dashboard Navigation Training Course

This instructor-led, live training in Australia (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 visualisation.

By the end 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 visualisations and charts with Tableau.

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

This instructor-led, live training in Australia (online or onsite) is targeted at data scientists keen to programme in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualise R functions in Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Australia (online or onsite) is designed for data analysts at beginner to intermediate levels who aim to utilise Tableau Desktop to convert raw data into meaningful insights via graphical representations such as charts, graphs, maps, and tables.

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

• Link to various data sources (Excel, CSV, databases, cloud-based) and comprehend the differences between live and extract connections.
• Prepare and cleanse data for analysis, including renaming fields, managing null values, and combining datasets using joins and blends.
• Create fundamental visualisations like tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualisations, including geographic maps and dual-axis charts, and utilise hierarchies, groups, and sets to enhance analysis.
• Construct calculated fields and parameters to generate dynamic and customised visualisations based on user inputs and logical functions.
• Design interactive dashboards and stories, integrating multiple visualisations and filters to convey a cohesive narrative.

By the conclusion of this training, participants will achieve the following outcomes:

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals seeking a comprehensive understanding and practical skills in using Tableau Forensic Imager for forensic purposes.

• 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 Australia (online or onsite) is aimed at data analysts and data scientists who wish to search, analyse, and visualise data using Tableau.

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

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / paradigm to effectively create powerful visualisations.
• Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
• Represent your data using different visualisation types.
• Build dashboards to share visualisations.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to gain practical knowledge of Tableau Prep Builder and the essential mapping functionalities in Tableau to address data preparation and visualization challenges.

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 business problems by creating interactive, detailed geographic visualizations.

This instructor-led, live training in Australia (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimise dashboards, and perform advanced data analysis.

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

This four-day Australia training takes beginners from foundational Tableau concepts to advanced data visualisation. You will learn to link data sources, develop calculations, construct dashboards, and publish insights. The course includes hands-on labs and a concluding project designed to elevate your analytical capabilities.