Tableau Prep Builder Training Course

This course explores the fundamentals of human perception and demonstrates how to apply it to generate maximum insight. Participants will become acquainted with design theory, covering key areas such as Gestalt Laws, pre-attentive attributes, and inclusive design practices. You will also examine the distinctions and overlaps between exploratory and explanatory data analysis. The curriculum includes guidance on selecting the appropriate chart types for specific data scenarios. By the conclusion of the course, you will be equipped with the knowledge to effectively apply design principles to visualizations built within the Tableau software.

This instructor-led, live training in Nigeria (online or onsite) is designed for data scientists and developers who wish to utilize and integrate SQL, Python, and Tableau for 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 the course, you will gain the ability to:

This introductory Tableau course is designed for beginners who wish to work with data. It aims to help you master the core functions of Tableau, including:

• Connecting to your data sources.
• Editing and saving data sources.
• Understanding essential Tableau terminology.
• Leveraging the Tableau interface and underlying paradigm to create powerful visualizations effectively.
• Developing basic calculations, such as arithmetic operations, custom aggregations and ratios, date-based calculations, and quick table calculations.
• Representing your data through various 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
• Building dashboards to share your visualizations.

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

This instructor-led, live training in Nigeria (available online or onsite) is designed for data scientists who wish to programme in R for Tableau.

• Apply Tableau analytics using R.
• Return values to Tableau using learning algorithms in R.
• Structure and visualize R functions within Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Nigeria (online or on-site) targets beginner to intermediate data analysts who aim to utilize Tableau Desktop to transform raw data into meaningful insights through visual representations like charts, graphs, maps, and tables.

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

• Connect to various data sources (Excel, CSV, databases, cloud-based) and distinguish between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, managing null values, and combining datasets through joins and blends.
• Create basic visualizations such as tables, bar charts, line charts, and maps, applying filters to refine data presentations.
• Develop intermediate visualizations including geographic maps and dual-axis charts, utilizing 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.

The Tableau Explorer license level in Tableau Cloud is tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams using published data sources.

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

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

• To request a tailored training program for this course, please contact us to make arrangements.

Upon completing this training, participants will be equipped with the ability to:

This live, instructor-led training in Nigeria (online or onsite) is tailored for intermediate-level digital forensic and cybersecurity experts seeking both a robust theoretical understanding and practical proficiency in leveraging Tableau Forensic Imager for forensic investigations.

• Comprehend the critical role and significance of digital forensic imaging in investigative processes.
• Utilize Tableau Forensic Imager to obtain forensically sound disk images.
• Implement best practices for the handling and preservation of digital evidence.
• Navigate the software interface to configure, execute, and manage imaging tasks effectively.
• Analyze and validate forensic images to guarantee integrity and admissibility in legal proceedings.

This instructor-led live training in Nigeria (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 Nigeria (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 serves as a powerful business intelligence and data visualization tool, while Python is a popular programming language that supports a broad range of statistical and machine learning techniques. By combining Tableau's robust visualization capabilities with Python's advanced machine learning functions, developers can quickly create sophisticated data analytics applications tailored to diverse business needs.

In this instructor-led live training, participants will learn to merge Tableau and Python for advanced analytics. The integration will be facilitated through the TabPy API.

Upon completing this training, participants will be able to:

• Integrate Tableau and Python using the TabPy API
• Leverage the Tableau-Python integration to analyze complex business scenarios with minimal Python code

Audience

• Developers
• Data scientists

Format of the course

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

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

This instructor-led, live training in Nigeria (online or onsite) targets intermediate to advanced data architects seeking to learn the skills required for installing, configuring, managing, and maintaining a Tableau server.

• Gain a thorough understanding of the Tableau Server architecture.
• Comprehend Tableau Server processes and functions.
• Utilize Tableau Server to automate tasks.
• Configure and manage the Tableau Server.
• Set up Tableau Server for high availability and scalability.

This course is ideal for learners who have never used Tableau or those looking to refresh their skills. It walks you through the essential steps to build your first visualization from scratch and teaches you how to apply fundamental design principles to your Tableau charts. By the end of the course, you will be capable of creating and sharing your insights with a broader audience.

This instructor-led, live training in Nigeria (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 designed for Tableau beginners. Participants will become well-versed in Tableau’s features and learn how to create and share data visualizations with others. The course guides learners through every step, including connecting to data, creating calculations, selecting the right chart, building dashboards, and publishing their work.

The course is divided into topic-focused lectures followed by practical exercises. It 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.
• Utilize Tableau features.
• Construct insightful visualizations.
• Share your work with a wider audience.

Course format:

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