Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training in Greece (online or onsite) is designed for database administrators, developers, and analysts at an intermediate level who wish to master advanced SQL functionalities for complex data operations and database management.

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

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

This course explores human perception and demonstrates how to leverage these insights to deliver optimal data analysis. You will become familiar with design theory, covering key concepts such as Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will examine the similarities and distinctions between exploratory and explanatory analysis. You will learn how to select the most appropriate chart types for your data and, by the end of the course, understand how to effectively apply design principles to visualizations built within the Tableau software.

Throughout this course, you will gain the ability to:

This introductory Tableau training is designed for individuals new to the platform who wish to work with data. It focuses on helping you master the core functionalities of Tableau.

• Establish connections with your data sources.
• Modify and store data sources.
• Become familiar with Tableau terminology.
• Leverage the Tableau interface and workflow to effectively build impactful visualizations.
• Develop basic calculations, including fundamental arithmetic, custom aggregations, ratios, date-based computations, and rapid 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
• Assemble dashboards to distribute your visualizations.

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

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

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

This instructor-led, live training in Greece (online or onsite) is intended for beginner to intermediate data analysts who wish to utilize 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 represents a specific license level within Tableau Cloud, tailored for users who need to engage with dashboards, apply filters, generate views, and collaborate with teams via published data sources.

This instructor-led training session, available either online or onsite, targets beginner to intermediate business users who aim to explore, filter, and interact with data using the Tableau Explorer role 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 up custom alerts triggered by data changes.
• Collaborate effectively with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures combined with live demonstrations.
• Practical exercises utilizing shared dashboards and published content.
• Real-time practice within Tableau Cloud, guided by expert exploration.

Course Customization Options

• For requests regarding customized training for this course, please contact us to arrange.

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

This instructor-led, live training in Greece (online or onsite) targets intermediate-level digital forensic and cybersecurity professionals seeking a thorough understanding and practical expertise in utilizing Tableau Forensic Imager for digital forensic operations.

• Grasp the role and significance 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, available in Greece (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 capable of:

• Connecting to various data sources.
• Editing and saving data sources.
• Understanding key Tableau terminology.
• Leveraging the Tableau interface and paradigm to create impactful visualizations.
• Developing calculations such as arithmetic operations, custom aggregations, ratios, date math, and table calculations.
• Presenting data through diverse visualization types.
• Constructing dashboards to share visual insights.

This instructor-led, live training in Greece (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 Greece (online or in-person) is designed for beginner to intermediate data analysts seeking practical expertise in Tableau Prep Builder and essential mapping capabilities within Tableau to address data preparation and visualization challenges.

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

• Establish connections to a wide range of data sources, including cloud-based and local files, while managing both live and extracted data links.
• Execute data fusion and combination through sophisticated joining methods to consolidate multiple datasets from diverse origins for enhanced analysis.
• Develop calculated fields and execute operations to dynamically manipulate and analyze data.
• Publish and refresh prepared data in Tableau Server or Tableau Online, facilitating automated updates and scheduling.
• Construct fundamental and advanced maps using geographic data, encompassing filled maps, density maps, and dual-axis maps.
• Utilize mapping techniques to resolve real-world business challenges by generating interactive, detailed geographic visualizations.

Tableau serves as a prominent business intelligence and data visualization platform, while Python is a versatile programming language offering extensive support for statistical and machine learning techniques. By leveraging Tableau's visualization strengths alongside Python's machine learning capabilities, developers can efficiently construct advanced data analytics solutions tailored to diverse business requirements.

Through this instructor-led live training, participants will acquire the skills necessary to integrate Tableau and Python for performing sophisticated analytics. This integration is achieved utilizing the TabPy API.

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

• Integrate Tableau and Python via the TabPy API
• Utilize the synergy between Tableau and Python to analyze complex business scenarios with minimal Python code

Audience

• Developers
• Data scientists

Course Format

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

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

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

• Develop a comprehensive understanding of the Tableau Server architecture.
• Gain insight into Tableau Server processes and functionalities.
• Utilize Tableau Server to automate routine tasks.
• Configure and administer the Tableau Server environment.
• Establish Tableau Server for high availability and scalability.

This course is tailored for individuals who are new to Tableau or those needing to refresh their skills. It guides learners through the necessary steps to create their first visualization from the ground up. Additionally, you will learn how to incorporate essential design principles into your Tableau visualizations. By the end of the program, you will have the capability to create and share your insights with a broader audience.

This instructor-led live training in Greece (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 intensive 4-day program is designed for beginners looking to master Tableau. Participants will gain comprehensive familiarity with Tableau’s features and learn the techniques required to create and share effective data visualizations. The curriculum walks you through every essential step, from connecting to data sources and developing calculations to selecting appropriate chart types, constructing dashboards, and publishing your final outputs.

The course structure consists of topic-specific lectures followed by practical application sessions. The program concludes with a 30-minute assessment and a 60-minute hands-on project assignment.

Course milestones:

• Gain proficiency with the Tableau interface.
• Connect to and manipulate your data.
• Utilize key Tableau functionalities.
• Create insightful visualizations.
• Share your insights with a wider audience.

Course format:

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