Data Science with Tableau and R Programming Training Course

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This course explores the principles of human perception and demonstrates how to apply them to deliver impactful insights. Participants will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum also clarifies the similarities and distinctions between exploratory and explanatory analysis. You will learn how to effectively utilize various chart types and select the most appropriate one for your data. By the end of the course, you will know how to apply these design principles to visualizations created using Tableau software.

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.

Throughout this course, you will acquire the following skills:

This is an introductory course designed for beginners to Tableau, catering to anyone keen on working with data. It aims to guide you through utilising the primary functions of Tableau.

• Establish connections with your data.
• Edit and save data sources.
• Familiarise yourself with Tableau terminology.
• Leverage the Tableau interface and its underlying paradigm to craft impactful visualisations effectively.
• Develop basic calculations, encompassing fundamental arithmetic, custom aggregations and ratios, date-based math, and quick table calculations.
• Present your data through various visualisation formats, including:
  • Cross-tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts featuring different mark types
  • Highlight tables
  • Scatter plots
• Construct dashboards to distribute your visualisations.

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.

Tableau Explorer is a license level in Tableau Cloud designed for users who interact 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 beginner-level to intermediate-level business users who wish to explore, filter, and interact with data using Tableau Explorer in Tableau Cloud.

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.

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 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 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.

Tableau is a business intelligence and data visualisation tool. Python is a widely used programming language that supports a broad range of statistical and machine learning techniques. By combining Tableau's powerful data visualisation capabilities with Python's machine learning features, developers can rapidly create advanced data analytics applications tailored to various business needs.

In this instructor-led live training, participants will learn how to integrate Tableau and Python to perform advanced analytics. The integration between Tableau and Python is facilitated via the TabPy API.

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

• Integrate Tableau and Python using the TabPy API
• Leverage the Tableau-Python integration to analyse complex business scenarios with just a few lines of Python code

Audience

• Developers
• Data scientists

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

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

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

• Have an in-depth understanding of the Tableau Server architecture.
• Understand Tableau Server processes and functions.
• Use Tableau Server to automate tasks.
• Configure and manage the Tableau Server.
• Set up Tableau Server for high availability and scalability.

The course is designed for learners who have never used Tableau before or those who may need a refresher. It will guide you through the necessary steps 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 a broader audience.

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.

Join this engaging 4-day course designed for Tableau beginners. You will become well-versed in all of Tableau’s features and learn how to create and share data visualisations with others. The course will guide you through every step, from connecting to data, creating calculations, choosing the right chart, building the dashboard, to publishing your work.

The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will conclude with a 30-minute test and a 60-minute project assignment.

Course milestones:

• Get familiar with the Tableau interface.
• Connect to and work with your data.
• Use the Tableau features.
• Build an insightful visualisation.
• Share your work with a broader audience.

Format of the Course:

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