Tableau Explorer: Interactive Data Analysis and Dashboard Navigation Training Course

This course explores human perception and demonstrates how to harness it to deliver optimal insights. Participants will engage with design theory, covering topics such as Gestalt Laws, pre-attentive attributes, and inclusive design. The curriculum also clarifies the distinctions and overlaps between exploratory and explanatory analysis. Learners will gain expertise in selecting appropriate chart types for specific data needs. By the conclusion of the course, participants will be equipped to effectively apply design principles to visualizations constructed within Tableau software.

This instructor-led, live training Kenya (online or on-site) is tailored for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.

By the conclusion 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 gain the ability to:

This is a beginner-level Tableau course designed for individuals interested in data work. It aims to help you master the primary functionalities of Tableau.

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / 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.

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

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

• Execute Tableau analytics by integrating R.
• Return values to Tableau using learning algorithms developed in R.
• Organise and visualise R functions within the Tableau interface.
• Drive business operational decisions through data insights.

This guided, live training in Kenya (online or onsite) is designed for beginner to intermediate data analysts looking to use Tableau Desktop to turn raw data into meaningful insights through visual representations such as charts, graphs, maps, and tables.

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

• Connect to multiple 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 via joins and blends.
• Create basic visualizations like tables, bar charts, line charts, and maps, and apply filters to refine data presentation.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and utilize 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.

Upon completing this training, participants will have acquired the ability to:

This instructor-led, live training in Kenya (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 in Kenya (available online or onsite) is designed for data analysts and data scientists looking to search, analyze, and visualize data using Tableau.

By the conclusion 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 Kenya (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 Kenya (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 leading business intelligence and data visualization tool. Python is a versatile programming language that supports a broad spectrum of statistical and machine learning methods. When combined, Tableau’s powerful visualization capabilities and Python’s machine learning potential enable developers to quickly construct sophisticated data analytics applications tailored to diverse business needs.

In this instructor-led live training, participants will learn to leverage Tableau alongside Python for advanced analytics. This integration is achieved through the TabPy API.

Upon completing this training, participants will be able to:

• Integrate Tableau and Python using the TabPy API
• Utilize the Tableau-Python integration to analyze complex 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 conclusion of this training, participants will be equipped with the following competencies:

This instructor-led, live training in Kenya (online or onsite) is designed for data architects at intermediate to advanced levels who seek to acquire skills for installing, configuring, managing, and maintaining a Tableau server.

• Develop a comprehensive understanding of the Tableau Server architecture.
• Gain insight into the processes and functions of Tableau Server.
• Utilise Tableau Server to automate various tasks.
• Configure and manage the Tableau Server effectively.
• Establish Tableau Server for high availability and scalability.

This instructor-led, live training in Kenya (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.

This course is designed for individuals who have never used Tableau before or those seeking a refresher. It will guide you through the necessary steps to create your first visualization from scratch. Additionally, you will learn how to apply fundamental design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with a broader audience.

This live, instructor-led training in Kenya (available online or onsite) is designed for advanced data professionals who want to utilize Tableau for building complex visualizations, optimizing dashboards, and performing advanced data analysis.

By the end of the course, participants will be able to install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimize performance.

This instructor-led, live training in Kenya (online or on-site) is designed for intermediate-level data professionals who intend to utilize Tableau to produce advanced visualizations and dashboards for informed decision-making.

By the conclusion of this training, participants will be able to: construct advanced charts, utilize parameters and calculated fields, design interactive dashboards, and communicate insights effectively.