Data Science with Tableau and R Programming Training Course

This instructor-led, live training in Kenya (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 Kenya (online or onsite) targets beginner-level data analysts who wish to utilize R programming to manipulate data, conduct fundamental data analysis, and produce engaging 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 Kenya (online or onsite) is targeted at beginner-level professionals who want to clean and analyze data, develop statistical projections, and create insightful visualizations using these tools.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Python, R, Power Query, and Power BI in the context of data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and projections with R.
• Design professional dashboards and reports using Power BI.
• Effectively integrate and analyze data from various sources.

This instructor-led, live training in Kenya (online or on-site) is designed for intermediate-level data analysts and business professionals who aim to conduct time series forecasting and automate data analysis workflows using R.

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

• Comprehend the basics of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Leverage the 'forecast' package to develop accurate forecasting models.
• Automate forecasting workflows for business and research applications.

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.

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.