Data Science with Tableau and R Programming Training Course

This instructor-led, live training in Nigeria (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.

Big Data refers to solutions designed for storing and processing large datasets. Initially developed by Google, these Big Data solutions have evolved and inspired similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.

This instructor-led live training in Nigeria (online or onsite) targets beginner-level data analysts who wish to utilize 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 is a vital instrument for modern business operations. This course prioritises the development of practical, hands-on data analysis skills. Our objective is to equip delegates 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 Nigeria (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 used, open-source platform designed for statistical computing, data analytics, and graphics. This course introduces participants to the R programming language, covering its fundamental principles, key libraries, and advanced techniques. Students will engage in advanced data analytics and visualization exercises using real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Course Format

Interactive lectures and practical hands-on sessions

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is designed for data scientists and developers who wish to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

By the end 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 instructor-led, live training in Nigeria (online or on-site) targets beginner to intermediate data analysts who aim to utilize Tableau Desktop to transform raw data into meaningful insights through visual representations like charts, graphs, maps, and tables.

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

• Connect to various data sources (Excel, CSV, databases, cloud-based) and distinguish between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, managing null values, and combining datasets through joins and blends.
• Create basic visualizations such as tables, bar charts, line charts, and maps, applying filters to refine data presentations.
• Develop intermediate visualizations including geographic maps and dual-axis charts, utilizing 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.

The Tableau Explorer license level in Tableau Cloud is 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 business users looking to explore, filter, and interact with data via Tableau Explorer in Tableau Cloud.

Upon completing this training, participants will be equipped to:

• Confidently navigate Tableau dashboards and shared workbooks.
• Apply filters, drill down, and export data directly from dashboards.
• Create saved views and custom alerts triggered by data changes.
• Collaborate effectively with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises utilizing shared dashboards and published content.
• Real-time practice in Tableau Cloud with guided exploration.

Customization Options

• To request a tailored training program for this course, please contact us to make arrangements.

Upon completing this training, participants will be equipped with the ability to:

This live, instructor-led training in Nigeria (online or onsite) is tailored for intermediate-level digital forensic and cybersecurity experts seeking both a robust theoretical understanding and practical proficiency in leveraging Tableau Forensic Imager for forensic investigations.

• Comprehend the critical role and significance of digital forensic imaging in investigative processes.
• Utilize Tableau Forensic Imager to obtain forensically sound disk images.
• Implement best practices for the handling and preservation of digital evidence.
• Navigate the software interface to configure, execute, and manage imaging tasks effectively.
• Analyze and validate forensic images to guarantee integrity and admissibility in legal proceedings.

This instructor-led live training in Nigeria (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize 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 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 Nigeria (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 Nigeria (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 engaging 4-day course is designed for Tableau beginners. Participants will become well-versed in Tableau’s features and learn how to create and share data visualizations with others. The course guides learners through every step, including connecting to data, creating calculations, selecting the right chart, building dashboards, and publishing their work.

The course is divided into topic-focused lectures followed by practical exercises. It concludes with a 30-minute test and a 60-minute project assignment.

Course milestones:

• Get comfortable with the Tableau interface.
• Connect to and work with your data.
• Utilize Tableau features.
• Construct insightful visualizations.
• Share your work with a wider audience.

Course format:

• Interactive lectures and discussions.
• Ample exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.
• Knowledge test and a hands-on project at the end of the course.