Tableau Explorer: Interactive Data Analysis and Dashboard Navigation Training Course

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.

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 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.

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 hands-on programme is designed for participants who already have experience with Tableau, empowering them with the confidence and competence to construct precise, clear, and interactive dashboards for human resources reporting.

Learners will engage with curated HR datasets to practice integrating data sources, developing meaningful calculations, choosing effective visualizations, and designing dashboards that facilitate the exploration of workforce insights. A significant focus is placed on establishing consistent definitions for HR metrics, preventing double-counting of employees, and verifying dashboard outputs against source data to ensure accuracy.

The session culminates in a guided project where each participant designs, tests, and presents a prototype HR dashboard. This prototype will feature a defined set of key metrics agreed upon prior to the workshop, such as total headcount, new hires and departures, staff turnover, or engagement in training programs.

Practical activities will utilize synthetic HR data or approved anonymized datasets. The final selection of metrics and data sharing topics will be tailored to align with the client’s specific reporting priorities and their existing Tableau infrastructure.

This 4-day training program in Kenya supports beginners in transitioning from core Tableau functionalities to advanced data visualization techniques. You will gain the skills to connect data sources, develop calculations, construct dashboards, and publish actionable insights. The course includes hands-on laboratory sessions and a culminating project designed to elevate your analytical capabilities.