Tableau Server for Architects Training Course

This course explores human perception and demonstrates how to harness it to deliver powerful insights. You will become familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also grasp the similarities and differences between exploratory and explanatory analysis. You will discover how to use various charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement design principles in visualisations created using Tableau software.

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

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 visualizations and charts with Tableau.

Throughout this course, you will acquire the following skills:

This introductory Tableau course is designed for beginners who wish to work with data and helps you master the core functions of Tableau.

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface and paradigm to effectively create powerful visualizations.
• Create basic calculations, including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
• Represent your data using the following 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.

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

This instructor-led, live training in South Africa (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

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

This instructor-led, live training in South Africa (online or onsite) is designed for beginner to intermediate data analysts who wish 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:

• Connect to various data sources (Excel, CSV, databases, cloud-based) and comprehend the differences between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, managing null values, and merging datasets through 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, while leveraging hierarchies, groups, and sets to enhance analysis.
• Construct calculated fields and parameters to generate dynamic and tailored visualisations based on user inputs and logic functions.
• Design interactive dashboards and stories, integrating multiple visualisations and filters to convey a cohesive narrative.

Tableau Explorer represents a specific licence tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams by leveraging published data sources.

This instructor-led, live training—available either online or onsite—is designed for 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 equipped to:

• Confidently navigate Tableau dashboards and shared workbooks.
• Apply filters, drill down, and export data from dashboards.
• Create saved views and custom alerts triggered by data changes.
• Collaborate with team members through comments, subscriptions, and shared views.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises utilising shared dashboards and published content.
• Real-time practice in Tableau Cloud with guided exploration.

Course Customization Options

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

Upon completion of this training, participants will be equipped with the following capabilities:

This instructor-led, live training in South Africa (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital 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, conducted South Africa (online or onsite), is tailored for data analysts and scientists who aim to leverage Tableau for data search, analysis, and visualization.

By the end of this course, 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 visualizations.
• Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
• Represent your data using different visualization types.
• Build dashboards to share visualizations.

This instructor-led, live training in South Africa (online or onsite) is aimed at 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.
• Read data from a variety of sources, such as Excel and databases.
• Prepare, shape and sample data for analysis in Tableau Desktop.
• Explore and validate data.
• Create and publish Tableau Prep flows.

This instructor-led, live training in South Africa (online or onsite) is aimed at beginner 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.

Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

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

• Integrate Tableau and Python using TabPy API
• Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Designed for learners who have never used Tableau before or who may need a refresher. This course will guide you through the steps necessary to create your first visualisation from the beginning. You will also learn how to apply essential design principles to your Tableau visualisations. By the end of the course, you will be able to create and share your insights with the broader audience.

This instructor-led, live training in South Africa (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize 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 optimize performance.

This engaging 4-day course is tailored for Tableau beginners. You will become proficient in all Tableau features and learn how to create and share data visualisations with others. The course guides you through every step, including connecting to data, creating calculations, selecting the right chart, building dashboards, and publishing your work.

The course is structured with lectures dedicated to each topic, followed by practical exercises. The session concludes with a 30-minute test and a 60-minute project assignment.

Course milestones:

• Get comfortable with the Tableau interface.
• Connect to and work with your data.
• Utilise Tableau features effectively.
• Build insightful visualisations.
• Share your work with a wider audience.

Course format:

• Interactive lectures and discussions.
• Ample exercises and practice.
• Hands-on implementation in a live-lab environment.
• Knowledge test and hands-on project at the end of the course