Data Science with Tableau and R Programming Training Course

This instructor-led, live training in Slovakia (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 course explores human perception and demonstrates how to harness it to deliver optimal insights. You will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will grasp the similarities and distinctions between exploratory and explanatory analysis. You will learn how to utilize various chart types and select the most appropriate one for your needs. By the end of the course, you will understand how to effectively apply design principles to visualizations created within the Tableau software.

This instructor-led live training in Slovakia (online or onsite) is designed for data scientists and developers who want 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:

• Establish the required environment to conduct data analysis using SQL, Python, and Tableau.
• Grasp the core principles of software integration (including data, servers, clients, APIs, and endpoints).
• Reviewing the fundamentals of Python and SQL.
• Applying data pre-processing techniques in Python.
• Connecting Python with SQL for effective data analysis.
• Developing meaningful data visualizations and charts using Tableau.

Throughout this course, you will gain the ability to:

Designed for beginners, this Tableau course is ideal for anyone looking to work with data. It aims to help you master the core functionalities of Tableau.

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / paradigm to effectively create powerful visualizations.
• Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
• Represent your data using the following visualization types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts with different mark types
  • Highlight Tables
  • Scatter Plots
• Build dashboards to share visualizations.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner to intermediate data analysts who want to use Tableau Desktop to transform raw data into meaningful insights through graphical representations such as charts, graphs, maps, and tables.

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

• Connect to multiple types of data sources (Excel, CSV, databases, cloud-based) and understand the distinctions between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets through joins and blends.
• Create basic visualizations such as 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 is a specialized license tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams via published data sources.

This instructor-led, live training (available online or onsite) targets beginner to intermediate business users seeking to explore, filter, and interact with data effectively using the Tableau Explorer role 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 into details, and exporting data from dashboards.
• Creating saved views and custom alerts triggered by data changes.
• Collaborating with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures and live demonstrations.
• Hands-on exercises utilizing shared dashboards and published content.
• Real-time practice in Tableau Cloud guided by expert exploration.

Customization Options

• To arrange customized training for this course, please contact us directly.

Upon completing this training, participants will have the ability to:

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals who wish to gain comprehensive knowledge and practical skills in using Tableau Forensic Imager for digital forensic applications.

• Understand the significance and function of digital forensic imaging in investigations.
• Utilize Tableau Forensic Imager to acquire forensically reliable images.
• Apply industry best practices for handling and preserving digital evidence.
• Navigate the software interface to configure, execute, and oversee imaging tasks.
• Analyze and verify forensic images to ensure integrity and legal admissibility.

This instructor-led, live training in Slovakia (online or onsite) is designed for data analysts and scientists who wish to search, analyze, and visualize data using Tableau.

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

• Establish connections to various data sources.
• Edit and save data connections.
• Gain a solid understanding of Tableau terminology.
• Navigate the Tableau interface and workflow to create impactful visualizations.
• Develop calculations, including arithmetic operations, custom aggregations and ratios, date math, and table calculations.
• Represent data using a variety of visualization types.
• Construct dashboards to effectively share insights.

This instructor-led, live training in Slovakia (online or onsite) targets data analysts who wish to prepare and shape data using Tableau Prep Builder.

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

• Install Tableau Prep.
• Understand and implement a Data Science Workflow.
• Read data from a variety of sources, such as Excel and databases.
• Prepare, shape and sample data for analysis in Tableau Desktop.
• Explore and validate data.
• Create and publish Tableau Prep flows.

This instructor-led, live training in Slovakia (online or onsite) targets beginner to intermediate-level data analysts who aim 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.

Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

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

• Integrate Tableau and Python using TabPy API
• Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

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

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate to advanced data architects who wish to acquire skills for installing, configuring, managing, and maintaining a Tableau server.

• Gain a comprehensive understanding of Tableau Server architecture.
• Comprehend Tableau Server processes and functionalities.
• Utilize Tableau Server to automate routine tasks.
• Configure and manage the Tableau Server environment.
• Implement Tableau Server for high availability and scalability.

Designed for learners with no prior Tableau experience or those needing a refresher, this course guides you through the initial steps to create your first visualization. You will learn to apply essential design principles to your Tableau visualizations. Upon completion, you will be equipped to create and share your insights with a broader audience.

This instructor-led, live training in Slovakia (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 newcomers. Participants will become well-versed in Tableau's full range of features and learn how to create and share data visualizations effectively. The curriculum guides learners through every essential step, from connecting to data sources and creating calculations to selecting the appropriate chart types, building dashboards, and publishing their work.

The course structure includes dedicated lectures for each topic, followed by practical exercises. It concludes with a 30-minute assessment and a 60-minute project assignment.

Course milestones:

• Gain familiarity with the Tableau interface.
• Connect to and manipulate your data.
• Utilize Tableau's powerful features.
• Create insightful visualizations.
• Share your findings with a wider audience.

Course Format:

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.
• Knowledge test and practical project at the conclusion of the course