Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training in Turkey (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts 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 harness it to deliver powerful insights. Participants will gain familiarity with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusivity. The curriculum clarifies the similarities and differences between exploratory and explanatory analysis. You will learn how to select the most appropriate charts for your data and, by the end of the course, master the application of design principles in visualizations created using Tableau software.

Throughout this course, you will gain the skills to:

This beginner-level Tableau course is designed for anyone interested in working with data. It provides the knowledge needed to utilize Tableau's core functions effectively.

• Connect to your data sources.
• Edit and save data sources.
• Understand key Tableau terminology.
• Leverage the Tableau interface and workflow to create impactful visualizations.
• Develop basic calculations, including arithmetic operations, custom aggregations, ratios, date-based math, and quick table calculations.
• Represent your data using these visualization 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
• Build dashboards to share your visualizations.

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

This instructor-led, live training in Turkey (online or onsite) is designed for data scientists who aim 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 Turkey (online or onsite) is aimed at beginner-level to intermediate-level data analysts 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 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, 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 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 establish 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 within Tableau Cloud, guided by exploratory instructions.

Customization Options

• For customized training arrangements, please contact us.

Upon completing this training, participants will be equipped to:

This live, instructor-led training in Turkey (online or on-site) targets intermediate-level cybersecurity and digital forensic professionals who wish to gain thorough understanding and hands-on skills in utilizing Tableau Forensic Imager for forensic purposes.

• Grasp the significance and role of digital forensic imaging in investigations.
• Operate Tableau Forensic Imager to obtain forensically sound images.
• Implement best practices for preserving and handling digital evidence.
• Navigate the software interface to configure, manage, and execute imaging tasks.
• Validate and analyze forensic images to guarantee integrity and court admissibility.

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

Upon completing this training, participants will be able to:

• Establish connections to various data sources.
• Edit and save data sources effectively.
• Gain a solid understanding of Tableau terminology.
• Leverage the Tableau interface and underlying paradigm to create impactful visualizations.
• Develop complex calculations, including arithmetic operations, custom aggregations and ratios, date functions, and table calculations.
• Represent data through a variety of visualization types.
• Construct dashboards to share and present visual insights.

This instructor-led, live training in Turkey (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 Turkey (online or onsite) is designed for data analysts at beginner to intermediate levels who seek to gain practical knowledge of Tableau Prep Builder and the essential mapping functionalities in Tableau to address data preparation and visualization challenges.

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

• Establish connections with a wide range of data sources, such as cloud-based and local files, while managing both live and extracted data connections.
• Execute data fusion and combination through sophisticated joining methods to consolidate multiple datasets from various origins for enhanced analysis.
• Develop calculated fields and conduct operations to dynamically manipulate and analyze data.
• Publish and update prepared data to Tableau Server or Tableau Online, thereby facilitating automated updates and scheduling.
• Design both fundamental and advanced maps using geographic data, encompassing filled maps, density maps, and dual-axis maps.
• Utilize mapping techniques to resolve practical business issues by developing interactive, detailed geographic visualizations.

Tableau is a leading business intelligence and data visualization solution. Python is a versatile programming language that supports a broad range of statistical and machine learning techniques. By leveraging Tableau's powerful data visualization capabilities alongside Python's machine learning functions, developers can rapidly construct advanced data analytics applications tailored to diverse business needs.

In this instructor-led live training, attendees will learn how to seamlessly integrate Tableau and Python to perform advanced analytics. This integration is achieved through the TabPy API.

Upon completion of this training, participants will be capable of:

• Integrating Tableau and Python via the TabPy API
• Analyzing complex business scenarios using the combined power of Tableau and Python with minimal Python code

Audience

• Developers
• Data scientists

Course Format

• A blend 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 Turkey (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.

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

Designed for learners who are new to Tableau or seeking a refresher, this course walks you through the essential steps to create your first visualization from the ground up. You will also learn how to apply fundamental 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.

This instructor-led, live training in Turkey (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. Throughout the sessions, you will become proficient in all Tableau capabilities and learn how to create and share data visualizations with others. The curriculum walks you through every essential step: connecting to data sources, creating calculations, selecting appropriate chart types, building dashboards, and publishing your final work.

The course structure combines topic-specific lectures with practical exercises. It concludes with a 30-minute knowledge test and a 60-minute project assignment.

Course milestones:

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

Format of the Course:

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