Tableau Explorer: Interactive Data Analysis and Dashboard Navigation Training Course

This instructor-led, live training in New Zealand (available online or on-site) is designed for data scientists and developers who aim to integrate and leverage SQL, Python, and Tableau to carry out advanced data analysis, processing, and visualisation.

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

• Set up the necessary environment to perform data analysis using SQL, Python, and Tableau.
• Grasp the core concepts of software integration, including data, servers, clients, APIs, and endpoints.
• Refresh their understanding of the fundamentals of Python and SQL.
• Apply data pre-processing techniques using Python.
• Learn how to connect Python and SQL for effective data analysis.
• Create insightful data visualisations and charts using Tableau.

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

This instructor-led, live training in New Zealand (online or on-site) is tailored for data scientists who wish to program in R for use with Tableau.

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

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level data analysts who want 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 (Excel, CSV, databases, cloud-based) and understand the differences 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 visualisations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualisations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customised visualisations based on user inputs and logical functions.
• Design interactive dashboards and stories, incorporating multiple visualisations and filters to tell a cohesive narrative.

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

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level digital forensic and cybersecurity professionals seeking a thorough understanding and hands-on skills in using the Tableau Forensic Imager for forensic investigations.

• Comprehend the role and significance of digital forensic imaging in investigations.
• Operate the Tableau Forensic Imager to acquire forensically sound images.
• Apply best practices in the handling and preservation of digital evidence.
• Navigate the software interface to configure, execute, and manage imaging tasks.
• Analyse and validate forensic images to ensure their integrity and admissibility in court.

This instructor-led, live training in New Zealand (available online or on-site) is designed for 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 and paradigm to effectively create powerful visualisations.
• Create calculations including arithmetic operations, custom aggregations and ratios, date mathematics, and table calculations.
• Represent your data using various visualisation types.
• Build dashboards to share visualisations.

This instructor-led, live training in New Zealand (online or on-site) 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 visualisation 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 analyse 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 visualisations.

This instructor-led, live training in New Zealand (available online or on-site) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualisations, 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 training in New Zealand guides beginners from core Tableau features to advanced data visualisation. You will learn to connect data, create calculations, build dashboards, and publish insights. Includes hands-on labs and a final project to enhance your analytics skills.