Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training in Kenya (online or onsite) is tailored for intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

Upon completing this training, participants will be able to:

• Execute advanced querying techniques utilizing unions, subqueries, and complex joins.
• Precisely add, update, and delete data, tables, views, and indexes.
• Guarantee data integrity through transactions and manipulate database structures.
• Efficiently create and manage databases for robust data storage and retrieval.

This live, instructor-led training in Kenya empowers data engineers to effectively integrate LLMs into SQL environments. Attendees will construct natural language pipelines, apply AI-driven optimization techniques, and design secure enterprise workflows for automated data analysis.

This instructor-led, live training in Kenya (online or on-site) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

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

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

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 course empowers participants with foundational Tableau skills to build and deploy clear, precise, and interactive dashboards tailored for HR reporting.

By leveraging prepared HR datasets, learners will practice connecting and merging data sources, developing robust calculations, selecting effective visualizations, and constructing dashboards that enable users to navigate workforce insights. Special emphasis is placed on maintaining consistency in HR metrics, preventing duplicate employee records, and verifying dashboard outputs against source data.

The program culminates in a guided project where each participant develops, verifies, and presents a functional HR dashboard prototype. These dashboards will feature a specific set of pre-agreed indicators, such as headcount, employee turnover (joiners and leavers), or training engagement rates.

Hands-on exercises will utilize synthetic HR data or approved anonymized datasets. The final choice of metrics and distribution strategies will be tailored to align with the client’s reporting objectives and their specific Tableau infrastructure.