Data analysis with Tableau Training Course

This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles in visualizations created using Tableau software.

This instructor-led live training, available Uzbekistan (online or onsite), is designed for data scientists and developers who aim 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 required environment for data analysis with SQL, Python, and Tableau.
• Understand key software integration concepts (data, servers, clients, APIs, endpoints, etc.).
• Refresh their knowledge on Python and SQL fundamentals.
• Execute data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Generate insightful data visualizations and charts with Tableau.

Throughout this course, you will gain the ability to:

This beginner-level Tableau course is designed for individuals interested in working with data. It aims to help you master the core functionalities of Tableau.

• Establish connections to your data.
• Edit and save data sources.
• Familiarize yourself with Tableau terminology.
• Utilize the Tableau interface and paradigm to create powerful visualizations effectively.
• Develop basic calculations, including standard arithmetic operations, custom aggregations, ratios, date math, and quick table calculations.
• Visualize your data using the following chart types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts with various mark types
  • Highlight tables
  • Scatter plots
• Construct dashboards to share your visualizations.

Upon completion of this training, participants will be equipped with the following skills:

This instructor-led, live training in Uzbekistan (online or onsite) is designed for data scientists interested in programming with R for Tableau.

• Integrate Tableau analytics with R.
• Return values to Tableau using R's learning algorithms.
• Organize and visualize R functions using Tableau.
• Drive business decisions through data analysis.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for data analysts at beginner to intermediate levels who wish 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 differences 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 visualisations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualisations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customised visualisations based on user inputs and logic functions.
• Design interactive dashboards and stories, incorporating multiple visualisations and filters to tell a cohesive narrative.

Tableau Explorer is a specialized license level within Tableau Cloud, tailored for users who actively engage with dashboards, apply filters, generate views, and collaborate with teams through published data sources.

This instructor-led live training, available online or onsite, is designed for beginner to intermediate business users eager to explore, filter, and interact with data using Tableau Explorer in Tableau Cloud.

Upon completing this training, participants will be equipped to:

• Navigate Tableau dashboards and shared workbooks with confidence.
• Apply filters, drill down into details, and export data directly from dashboards.
• Create saved views and set custom alerts triggered by data changes.
• Collaborate effectively 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 with guided exploration.

Course Customization Options

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

In this instructor-led live training Uzbekistan, participants will learn how to extend Tableau’s capabilities to suit their organization’s specific needs.

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

• Install and configure Tableau (Desktop, Server, Online).
• Understand the fundamentals of developing with Tableau.
• Create and publish data visualizations and interactions with Tableau.
• Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.

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

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) is tailored for data analysts and data scientists who want 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 Uzbekistan (online or on-site) is designed for 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 various sources, including Excel files and databases.
• Prepare, shape, and sample data for analysis within Tableau Desktop.
• Explore and validate data quality.
• Create and publish Tableau Prep flows.

This instructor-led live training in Uzbekistan (online or onsite) targets beginner to intermediate data analysts who wish to acquire practical knowledge of Tableau Prep Builder and essential mapping functionalities in Tableau to tackle 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 visualisation tool. Python is a widely used programming language that supports a broad range of statistical and machine learning techniques. When combined, Tableau's data visualisation capabilities and Python's machine learning functions enable developers to rapidly build advanced data analytics applications for various business scenarios.

In this instructor-led, live training, participants will learn how to integrate Tableau and Python to perform advanced analytics. The integration will be carried out via the TabPy API.

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

• Integrate Tableau and Python using the TabPy API
• Leverage the combined capabilities of Tableau and Python to analyse complex business scenarios with just a few lines of Python code

Target Audience

• Developers
• Data Scientists

Course Format

• A blend of lecture, discussion, exercises, and extensive hands-on practice

Upon completing this training, participants will be equipped to:

This instructor-led, live training in Uzbekistan (online or on-site) is designed for intermediate to advanced data architects looking to acquire skills in installing, configuring, managing, and maintaining a Tableau server.

• Gain an in-depth understanding of the Tableau Server architecture.
• Comprehend Tableau Server processes and functions.
• Utilize Tableau Server to automate tasks.
• Configure and manage the Tableau Server.
• Set up Tableau Server for high availability and scalability.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.

Designed for learners new to Tableau or those seeking a refresher, this course guides you through creating your first visualization from the ground up. You will learn to apply key design principles to your Tableau projects. By the end, you will be able to create and share your insights with a wider audience.