Data Analysis with SQL, Python, and Tableau Training Course

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

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

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

This instructor-led, live training in South Africa prepares data engineers to integrate LLMs into SQL environments. Participants will construct natural language pipelines, apply AI-driven optimisation, and design secure enterprise workflows for automated data analysis.

This instructor-led live training in South Africa (online or onsite) is designed for intermediate-level database administrators and IT professionals seeking to optimise the performance of Oracle Database 19c.

Upon completion of this training, participants will be able to:

• Comprehend the concepts of Oracle Database 19c performance tuning.
• Effectively utilise performance management tools.
• Optimise database performance through various tuning techniques.
• Troubleshoot and resolve performance-related issues.

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

This instructor-led, live training in South Africa (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

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

This instructor-led, live training in South Africa (online or onsite) is designed for beginner to intermediate data analysts who wish to utilise Tableau Desktop to convert raw data into meaningful insights via graphical representations such as charts, graphs, maps, and tables.

Upon completion of this training, participants will be able to:

• Connect to various data sources (Excel, CSV, databases, cloud-based) and comprehend the differences between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, managing null values, and merging datasets through joins and blends.
• Create fundamental visualisations like tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualisations, including geographic maps and dual-axis charts, while leveraging hierarchies, groups, and sets to enhance analysis.
• Construct calculated fields and parameters to generate dynamic and tailored visualisations based on user inputs and logic functions.
• Design interactive dashboards and stories, integrating multiple visualisations and filters to convey a cohesive narrative.

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

This instructor-led, live training in South Africa (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, conducted South Africa (online or onsite), is tailored for data analysts and scientists who aim to leverage Tableau for data search, analysis, and visualization.

By the end of this course, 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 South Africa (online or onsite) is aimed at beginner 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 instructor-led, live training in South Africa (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 hands-on programme is designed for participants who already possess Tableau proficiency, aiming to enhance their ability and assurance in constructing precise, clear, and interactive dashboards specifically for HR reporting.

Throughout the course, participants will engage with curated HR datasets to learn how to link and merge data, formulate effective calculations, choose suitable visual representations, and design dashboards that facilitate the exploration of workforce data. A key focus is placed on the consistent definition of HR metrics, the prevention of duplicate employee entries, and the rigorous verification of dashboard outputs against source data.

The session culminates in a structured project where each participant designs, verifies, and presents a prototype HR dashboard. This dashboard will incorporate a small, pre-agreed set of metrics, such as headcount, employee arrivals and departures, attrition rates, or training engagement levels.

All exercises will utilise synthetic HR data or approved anonymised datasets. The specific metrics selected and topics for sharing will be tailored to align with the client’s reporting priorities and their specific Tableau environment.