大阪のTableauトレーニング

This instructor-led, live training in 大阪 (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to gain practical knowledge of Tableau Prep Builder and the essential mapping functionalities in Tableau to address 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.

This instructor-led, live training in 大阪 (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.

This instructor-led, live training in 大阪 (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital forensic purposes. By the end of this training, participants will be able to:

• 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 大阪 (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. By the end of this training, participants will be able to:

• 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.

This instructor-led, live training in 大阪 (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles is visualizations created using Tableau software.

This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau. During the course you 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 basic calculations including basic arithmetic calculations, custom aggregations and 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.

Tableau helps people see and understand data.

This instructor-led, live training in 大阪 (online or onsite) is aimed at data scientists who wish to program in R for Tableau. By the end of this training, participants will be able to:

• 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.

In this instructor-led, live training in 大阪, 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.

This instructor-led, live training in 大阪 (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 大阪 (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.

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

This instructor-led, live training in 大阪 (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 designed for the learner who has never used Tableau before, or who may need a refresher.  It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.

Tableau helps people see and understand data.

Tableau helps people see and understand data.

This is a compelling 4-day course for Tableau beginners. During this course, you will get familiar with all Tableau features and learn how to create and share data visualization with others. The course will guide you through all of the steps, including connecting to data, creating calculations, choosing a chart, building the dashboard, and publishing your work. The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will end with 30 minutes test and 60 minutes project assignment. Course milestones:

• Get familiar with Tableau interface.
• Connect to and work with your data.
• Use the Tableau features.
• Build an insightful visualization.
• Share your work with a broader audience.

Format of the Course:

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