Data analysis with Tableau Training Course

This course explores human perception and demonstrates how to harness it to deliver impactful insights. You will gain familiarity with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will examine the similarities and distinctions between exploratory and explanatory analysis. You will learn how to effectively use various charts and master the skill of selecting the most appropriate visual representation. By the end of the course, you will understand how to apply design principles to create high-quality visualizations using the Tableau software.

This instructor-led, live training Norway (online or onsite) is intended for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to execute complex data analysis, processing, and visualization.

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

• Set up the required environment for data analysis with SQL, Python, and Tableau.
• Grasp key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Refresh their knowledge of Python and SQL fundamentals.
• Execute 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 capabilities:

This beginner-level Tableau training is designed for individuals aiming to work with data. It focuses on helping you master the core functionalities of Tableau.

• Establish connections to your data.
• Modify and store data sources.
• Gain a solid understanding of Tableau terminology.
• Leverage the Tableau interface and workflow to create impactful visualizations.
• Develop fundamental calculations, including arithmetic operations, custom aggregations, ratios, date-based computations, and rapid table calculations.
• Visualize your data using these chart types:
  • Cross-tabulations
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual-axis and combined charts with varied mark types
  • Highlight Tables
  • Scatter plots
• Assemble dashboards to present your visualizations.

Upon completing this training, participants will be able to:

This instructor-led, live training in Norway (online or onsite) is designed for data scientists who wish to program in R for use with Tableau.

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

This instructor-led, live training in Norway (online or onsite) is designed for beginner to intermediate 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 distinctions 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 visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customized visualizations based on user inputs and logic functions.
• Design interactive dashboards and stories, incorporating multiple visualizations and filters to tell a cohesive narrative.

Tableau Explorer is a specific license tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams using published data sources.

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

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

• Navigating Tableau dashboards and shared workbooks with confidence.
• Applying filters, performing drill-down analyses, and exporting data from dashboards.
• Creating saved views and custom alerts triggered by data changes.
• Collaborating with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises using 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.

In this instructor-led, live training in Norway, participants will learn how to expand Tableau's capabilities to meet their organization's specific requirements.

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

• Install and configure Tableau (Desktop, Server, Online).
• Understand the fundamentals of developing with Tableau.
• Create and publish data visualizations and interactions with Tableau.
• Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.

Upon completion of this training, participants will gain the following capabilities:

This instructor-led, live training in Norway (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 digital forensic investigations.

• Understand the critical 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 Norway (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize 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 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 Norway (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 Norway (online or onsite) is designed for data analysts at the beginner to intermediate level who wish to gain practical expertise in Tableau Prep Builder and the essential mapping functionalities in Tableau to address data preparation and visualization challenges.

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

• Connect to various 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 serves as a prominent business intelligence and data visualization platform, while Python is a versatile programming language that supports a broad spectrum of statistical and machine learning techniques. By leveraging Tableau's robust data visualization capabilities alongside Python's advanced machine learning functions, developers can swiftly construct sophisticated data analytics applications tailored to diverse business needs.

Through this instructor-led live training, attendees will discover how to effectively merge Tableau and Python to perform high-level analytics. The integration between these two tools is achieved via the TabPy API.

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

• Integrating Tableau and Python using the TabPy API
• Utilizing the combined power of Tableau and Python to analyze intricate business scenarios with minimal Python code

Audience

• Developers
• Data scientists

Format of the course

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

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

This instructor-led, live training in Norway (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.

This instructor-led, live training in Norway (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.

Ideal for those who are new to Tableau or need a refresher, the curriculum guides you step-by-step from creating your first visualization to applying key design principles. Upon completion, you will possess the skills to create and share compelling data insights with a broader audience.