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.

The term 'Big Data' refers to solutions designed for storing and processing large data sets. Originally developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are now available as open-source software. R is a widely used programming language in the financial industry.

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.

Data analytics plays an essential role in modern business. This course concentrates on building practical, hands-on skills for data analysis. Our objective is to empower participants with the ability to provide evidence-based answers to key questions: 

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

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.

R is a widely acclaimed, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces learners to the R programming language, covering foundational language elements, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and graphical representation using real-world datasets.

Target Audience

Software Developers and Data Analytics Professionals

Duration

3 days

Delivery Format

Lecture-based instruction combined with practical, hands-on exercises

This instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

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

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

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.

Tableau Explorer represents a specific license tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams using published data sources.

This instructor-led, live training session (available online or onsite) targets beginner to intermediate-level business users keen on exploring, filtering, and interacting with data via Tableau Explorer in Tableau Cloud.

Upon completion of this training, participants will be capable of:

• Navigating Tableau dashboards and shared workbooks with confidence.
• Applying filters, drilling down, and exporting data from dashboards.
• Creating saved views and custom alerts triggered by data changes.
• Collaborating effectively with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises utilising shared dashboards and published content.
• Real-time practice within Tableau Cloud accompanied by guided exploration.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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 engaging 4-day program is tailored for individuals new to Tableau. Throughout the course, participants will become proficient in all Tableau capabilities and acquire the skills necessary to design and distribute data visualizations effectively. The curriculum walks learners through every essential phase, from linking to data sources and formulating calculations to selecting appropriate chart types, constructing dashboards, and publishing final outputs.

The training structure comprises topic-specific lectures paired with practical hands-on exercises. The session concludes with a 30-minute knowledge assessment and a 60-minute practical project.

Key learning outcomes:

• Navigate and become comfortable with the Tableau interface.
• Connect to and manipulate data sources.
• Utilise core Tableau features.
• Develop insightful visual representations.
• Distribute findings to a wider audience.

Course delivery format:

• Interactive lectures and group discussions.
• Extensive practical exercises and drills.
• Live-lab environment for hands-on implementation.
• Final knowledge assessment and practical project