Data Science with Tableau and R Programming Training Course

This instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

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

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

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

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

This instructor-led live training in Botswana (online or onsite) is intended for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to perform advanced data analysis, processing, and visualization.

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

• Set up the necessary environment for data analysis using SQL, Python, and Tableau.
• Understand key software integration concepts (data, servers, clients, APIs, endpoints, etc.).
• Refresh their knowledge of Python and SQL fundamentals.
• Execute data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This instructor-led, live training in Botswana (online or onsite) focuses on helping beginner to intermediate data analysts utilize Tableau Desktop to transform raw data into meaningful insights through graphical 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 comprehend the distinctions between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, managing null values, and merging datasets via joins and blends.
• Create basic visualizations like tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and use 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 be able to:

This instructor-led, live training in Botswana (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 Botswana (online or onsite) is aimed at data analysts and data scientists who wish to search, analyse, and visualise 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 visualisations.
• Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
• Represent your data using different visualisation types.
• Build dashboards to share visualisations.

This instructor-led, live training in Botswana (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 instructor-led live training in Botswana (online or on-site) 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 course is designed for individuals with prior Tableau experience, aiming to enhance their ability to construct precise, interactive, and clear dashboards for human resources reporting.

Attendees will engage with curated HR datasets to integrate data sources, formulate practical calculations, choose suitable visual representations, and design dashboards that facilitate the exploration of workforce insights. Special focus is placed on the consistent definition of HR metrics, the prevention of duplicate employee records, and the verification of dashboard outcomes against source data.

The session culminates in a guided project where each participant develops, verifies, and presents a prototype HR dashboard. This prototype will utilise a predefined set of metrics, such as headcount, attrition, new hires, or training engagement, as agreed upon prior to the session.

Activities will rely on synthetic HR data or approved anonymised datasets. The final selection of metrics and distribution methods will be tailored to the client’s specific reporting priorities and Tableau infrastructure.