Tableau Explorer: Interactive Data Analysis and Dashboard Navigation Training Course

This course explores the fundamentals of human perception and demonstrates how to apply this understanding to extract optimal insights. You will become acquainted with essential design theories, such as Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will analyze the distinctions and parallels between exploratory and explanatory analysis. The curriculum covers chart selection strategies, guiding you in choosing the most effective visualization for your data. By the conclusion of the course, you will be equipped to apply these design principles effectively within Tableau software.

This instructor-led live training, available Argentina (online or onsite), targets data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau for advanced data analysis, processing, and visualization.

Upon completing this training, participants will be equipped to:

• Configure the necessary environment for performing data analysis using SQL, Python, and Tableau.
• Grasp essential concepts of software integration, including data handling, servers, clients, APIs, and endpoints.
• Review and solidify their understanding of core Python and SQL principles.
• Apply data pre-processing techniques within Python.
• Establish connections between Python and SQL to facilitate robust data analysis.
• Design compelling data visualizations and charts using Tableau.

Throughout this course, you will achieve the following:

This beginner-level Tableau course is designed for individuals interested in data analysis, aiming to equip you with the skills to utilize Tableau's core functionalities.

• Establish connections to your data sources.
• Edit and save data sources effectively.
• Gain a comprehensive understanding of Tableau terminology.
• Leverage the Tableau interface and underlying paradigm to create impactful visualizations.
• Develop basic calculations, including arithmetic operations, custom aggregations, ratios, date manipulations, and quick table calculations.
• Visualize your data using a variety of chart types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie and bar charts
  • Dual-axis and combined charts with diverse mark types
  • Highlight tables
  • Scatter plots
• Construct dashboards to share your visual insights.

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

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

• Integrate Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Drive business operations with data-informed decisions.

This instructor-led, live training in Argentina (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.

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

This instructor-led, live training in Argentina (online or onsite) targets intermediate-level digital forensic analysts and cybersecurity experts seeking a thorough grasp and practical proficiency in utilizing Tableau Forensic Imager for digital forensic operations.

• Gain insight into the critical role and significance of digital forensic imaging within investigations.
• Utilize Tableau Forensic Imager to acquire forensically sound images.
• Implement best practices for 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 in Argentina (online or onsite) is aimed at data analysts and data scientists who wish 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 Argentina (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 Argentina (online or in-person) is designed for beginner to intermediate data analysts who want to acquire practical skills in Tableau Prep Builder and key mapping functionalities in Tableau to address data preparation and visualization challenges.

By the conclusion 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 serves as a leading business intelligence and data visualization platform, while Python is a versatile programming language that supports a broad spectrum of statistical and machine learning techniques. By leveraging Tableau's powerful visualization capabilities alongside Python's advanced machine learning functions, developers can efficiently construct sophisticated data analytics applications tailored to diverse business needs.

Through this instructor-led live training, attendees will acquire the skills necessary to merge Tableau and Python for executing advanced analytics. The integration process is facilitated via the TabPy API.

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

• Integrate Tableau with Python using the TabPy API
• Analyze complex business scenarios through the combined power of Tableau and Python, achieving results 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 to:

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate to advanced data architects seeking to master the skills necessary for installing, configuring, managing, and maintaining a Tableau server.

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

This instructor-led, live training in Argentina (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 is ideal for learners who are new to Tableau or need a refresher. It guides you through the necessary steps to build your first visualization from scratch. Additionally, you will learn how to apply essential design principles to your Tableau projects. 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, delivered in Argentina (online or onsite), is tailored for advanced-level data professionals seeking to leverage Tableau for building complex visualizations, optimizing dashboards, and performing advanced data analysis.

By the end of this training, participants will be able to install and configure Tableau for advanced usage, create complex calculations, design interactive dashboards, and optimize performance.

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level data professionals who wish to utilize Tableau to create advanced visualizations and dashboards for data-driven decision-making.

By the end of this training, participants will be able to: build advanced charts, use calculated fields and parameters, design interactive dashboards, and share insights effectively.