Data Analysis with SQL, Python, and Tableau Training Course

This course explores the intricacies of human perception and demonstrates how to harness it for delivering optimal insights. Participants will gain familiarity with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum also clarifies the distinctions and overlaps between exploratory and explanatory analysis. Students will learn to select appropriate chart types for specific data stories and, upon completion, will master the application of design principles within visualizations built using Tableau software.

Throughout this course, you will acquire the skills to:

This introductory Tableau course is designed for beginners aiming to work with data. It focuses on helping you master the core functionalities of Tableau.

• Establish connections to your data sources.
• Edit and save data sources.
• Gain a solid understanding of Tableau terminology.
• Utilize the Tableau interface and its underlying paradigm to create impactful visualizations.
• Develop basic calculations, such as simple arithmetic, custom aggregations, ratios, date functions, and quick table calculations.
• Visualize your data using various chart types, including:
  • Cross-tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual-axis and combined charts with mixed mark types
  • Highlight Tables
  • Scatter plots
• Construct dashboards to effectively share your visualizations.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level professionals who wish to use Tableau to create data visualizations and interactive dashboards.

By the end of this training, participants will be able to: connect to data sources, build visualizations, design dashboards, and apply basic data analysis techniques.

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

This live, instructor-led training in Serbia (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

This instructor-led live training in Serbia (online or onsite) targets beginner to intermediate data analysts who aim to use Tableau Desktop to transform raw data into meaningful insights via 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 represents a specific license tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, create views, and collaborate with teams using published data sources.

This instructor-led, live training (available online or onsite) targets beginner to intermediate business users eager to explore, filter, and interact with data through Tableau Explorer in Tableau Cloud.

Upon completing 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 with team members via comments, subscriptions, and shared views.

Format of the Course

• Interactive lecture and demonstration.
• Hands-on exercises using shared dashboards and published content.
• Real-time practice in Tableau Cloud with guided exploration.

Course Customization Options

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

In this instructor-led, live training in Serbia, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.

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.

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

This live, instructor-led course in Serbia (online or onsite) is designed for digital forensics and cybersecurity professionals at an intermediate level. The program aims to provide a thorough understanding and practical expertise in utilizing Tableau Forensic Imager for forensic investigations.

• Comprehend the critical role of digital forensic imaging in investigative processes.
• Utilize Tableau Forensic Imager to acquire 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 operations.
• Analyze and validate forensic images to guarantee integrity and court admissibility.

This instructor-led live training in Serbia (available online or on-site) targets data analysts and scientists aiming to search, analyze, and visualize data using Tableau.

By the conclusion of this training, participants will be capable of:

• Connecting to their data sources.
• Editing and saving data sources.
• Understanding key Tableau terminology.
• Utilizing the Tableau interface and paradigm to create impactful visualizations.
• Creating calculations such as arithmetic operations, custom aggregations, ratios, date math, and table calculations.
• Representing data through various visualization types.
• Building dashboards for sharing visual insights.

This instructor-led, live training in Serbia (online or onsite) is aimed at 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 Serbia (online or onsite) is designed for beginner to intermediate data analysts who aim to acquire practical skills in Tableau Prep Builder and the 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 leading business intelligence and data visualization tool. Python, a popular programming language, supports a broad range of statistical and machine learning techniques. By leveraging Tableau's powerful visualization capabilities alongside Python's machine learning strengths, developers can swiftly create advanced data analytics solutions tailored to various business needs.

Through this instructor-led live training, participants will discover how to effectively merge Tableau and Python for sophisticated analytics. The integration will be facilitated via the TabPy API.

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

• Integrate Tableau with Python using the TabPy API
• Analyze complex business scenarios with minimal Python code through the combined power of Tableau and Python

Audience

• Developers
• Data scientists

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

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

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

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

This instructor-led, live training in Serbia (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.

This course caters to learners with no prior experience in Tableau or those needing a refresher. It walks you through the necessary steps to build your first visualization from scratch. You will also learn to apply core design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with a broader audience.