Spotfire Advanced Application - Secondary Batteries

Visualization Solution Spotfire - User Training Basics is a course that provides basic knowledge for understanding and using Spotfire, a visualization analysis system, and introduces the Spotfire menu and the types and features of visualization analysis charts. It is suitable for users who are new to Spotfire, and explains everything from installation and logging in to basic chart configuration and how to share analysis screens.

This course is a practical analysis program that covers everything from Bin data status analysis to Wafer Defect Map pattern analysis and correlation analysis between yield and process parameters, all based on semiconductor manufacturing data. Going beyond simple visualization, you will learn how to classify defect types using pattern similarity analysis and clustering techniques, and how to interpret the relationship between process variables and yield based on data. The focus is on mastering a structural approach to analyzing semiconductor manufacturing data by directly implementing dashboards that can be utilized in real-world operations.

This course is a practical analysis program that performs subject characteristic analysis, adverse event (AE) analysis, treatment effect comparison, and statistics-based visualization based on clinical trial data. Beyond simple visualization, you will learn how to understand clinical data structures and implement comparisons between test and control groups, as well as safety and efficacy index analysis, using Spotfire.

Visualization Solution Spotfire - Advanced User Training is a course that teaches you how to use various functions that were briefly covered in the basics, Spotfire functions that can be used in calculated columns, statistical analysis functions provided by Spotfire, and how to use statistical analysis functions by linking R and Python. In the fifth part, we introduce more statistical analysis algorithms and functions that use them in Spotfire by using the function that links R and Python to Spotfire.

Visualization Solution Spotfire - Advanced User Training is a course that teaches you how to use various functions that were briefly covered in the basics, Spotfire functions that can be used in calculated columns, and statistical analysis functions provided by Spotfire. In the third part, you will learn about functions (Custom Expressions) that can be used in Spotfire as needed, and learn how to edit text areas such as Insert Property Control.

Visualization Solution Spotfire - Advanced User Training is a course that teaches you various ways to use the functions that were briefly covered in the basics, Spotfire functions that can be used in calculated columns, and statistical analysis functions provided by Spotfire. In the second part, we will learn mainly about data handling, which transforms and processes data as needed.

Visualization Solution Spotfire - Advanced User Training is a course that teaches you how to use various functions that were briefly covered in the basics, Spotfire functions that can be used in calculated columns, and statistical analysis functions provided by Spotfire. In the first part, you will learn about in-depth courses on visualization charts and how to set up visualization screens.

Visualization Solution Spotfire - Advanced User Training is a course that teaches you how to use the functions that were briefly covered in the basics, Spotfire functions that can be used in calculated columns, and statistical analysis functions provided by Spotfire. The fourth part introduces how to analyze data correlations using the statistical analysis functions built into Spotfire, and other functions that were not covered in the previous parts.

This course is a practical analysis program that performs subject characteristic analysis, adverse event (AE) analysis, treatment effect comparison, and statistics-based visualization based on clinical trial data. Beyond simple visualization, you will learn how to understand clinical data structures and implement comparisons between test and control groups, as well as safety and efficacy index analysis, using Spotfire.

This course is a practical analysis program that covers everything from Bin data status analysis to Wafer Defect Map pattern analysis and correlation analysis between yield and process parameters, all based on semiconductor manufacturing data. Going beyond simple visualization, you will learn how to classify defect types using pattern similarity analysis and clustering techniques, and how to interpret the relationship between process variables and yield based on data. The focus is on mastering a structural approach to analyzing semiconductor manufacturing data by directly implementing dashboards that can be utilized in real-world operations.