Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training in Mexico (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 delves into the science of human perception and demonstrates how to harness it to provide superior insights. You will become acquainted with design theory, covering key concepts such as the Gestalt Laws, pre-attentive attributes, and inclusive design practices. Additionally, you will explore the nuances between exploratory and explanatory analysis. The curriculum guides you through chart selection and usage, helping you identify the most effective visualizations for your needs. By the conclusion of the course, you will master the application of design principles to create impactful visualizations using Tableau software.

Throughout the course, you will achieve the following learning outcomes:

This is an introductory Tableau course designed for beginners who wish to work with data. It aims to help you master the core functionalities of Tableau.

• Connect to your data sources.
• Edit and save data sources.
• Understand key Tableau terminology.
• Utilize the Tableau interface and paradigm to effectively create powerful visualizations.
• Create basic calculations, including arithmetic operations, custom aggregations, ratios, date math, and quick table calculations.
• Represent your data using the following visualization types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts with different mark types
  • Highlight Tables
  • Scatter Plots
• Build dashboards to share visualizations.

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

This instructor-led, live training in Mexico (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 Mexico (online or onsite) is aimed at beginner to intermediate 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, available either online or onsite, targets beginner to intermediate business users who want to explore, filter, and interact with data via Tableau Explorer in Tableau Cloud.

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

• Navigate Tableau dashboards and shared workbooks with confidence.
• Apply filters, drill down, 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 and 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 for this course, please contact us to arrange.

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

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals who seek 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 in Mexico (online or in-person) is designed for data analysts and data scientists seeking 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 Mexico (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 various 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 Mexico (online or onsite) targets beginner to intermediate data analysts who wish to acquire 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:

• Connect to various data sources, including cloud-based and local files, and manage both live and extracted data connections.
• Fuse and combine data using advanced joining techniques to merge multiple datasets from different sources for enhanced analysis.
• Create calculated fields and execute operations to dynamically manipulate and analyze data.
• Publish and update prepared data to Tableau Server or Tableau Online, facilitating automated updates and scheduling.
• Create basic and advanced maps using geographic data, such as filled maps, density maps, and dual-axis maps.
• Apply mapping techniques to solve real-world business problems by developing interactive, detailed geographic visualizations.

Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

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

• Integrate Tableau and Python using TabPy API
• Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

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

This instructor-led, live training in Mexico (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 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 course is designed for learners who are new to Tableau or need a refresher. It guides you through the essential steps to create your first visualization from scratch. You will also learn how to apply crucial 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 Mexico (online or onsite) is designed for 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 beginners. Participants will become familiar with all Tableau features and learn how to create and share data visualizations with others. The course guides you through every step, including connecting to data, creating calculations, selecting the right chart, building dashboards, and publishing your work.

The course is structured into lectures dedicated to each topic, followed by practical exercises. It concludes with a 30-minute knowledge test and a 60-minute project assignment.

Course milestones:

• Become familiar with the Tableau interface.
• Connect to and work with your data.
• Utilize Tableau features.
• Build insightful visualizations.
• Share your work with a broader audience.

Format of the Course:

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