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Wintax 4 Pro – English

What I will learn?
- Introduction to Wintax 4 Junior
- Creating a Workbook from Scratch
- Analysis of All Options in Wintax 4 Junior
- What Types of Windows Are Available
- Understanding Differences Between Junior and Pro Versions
- How to Draw a Circuit in Analysis Software
- Generic Commands (Print, Save, etc.)
Course Curriculum
Course Summary
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Course Objetives
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Introduction to the topics we will cover
Wintax 4 Junior Introduction
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What is a Data Analysis Software?
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History of Wintax
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Available versions
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When to use Wintax?
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Championships where Wintax is used
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Quick overview of Wintax 4
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Junior vs Pro versions
Instalation
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Downloading Wintax 4 Junior
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Installation Path
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Installation process
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Installation folders
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Windows compatibility
Data management
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Data files
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Where to save downloaded data
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Data opening layout
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Data opening options
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Laps comparison
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Independent lap vs Full session
Initial configuration
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General options
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Default appearance
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Special channels
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Directories
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Data layer colors
Available controls
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Generic commands
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Channel browser
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Logged Channels configuration table
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Window vs Layout
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Layout distribution
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Window management
Layouts and Windows
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Available chart types
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Creating each type of chart
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Data management and information distribution
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How to save windows and layouts
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How to create new layouts
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Junior vs Pro Windows
Circuit editor
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Characteristics of a circuit in Data Analysis sotware
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Creating a circuit from scratch
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Playing with circuit options
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Overlaping signals to the circuit layout
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Junior vs Pro circuit
Math Channels
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What is a Math Channel?
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Create math channels library
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Math operations & processors
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Functions available
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Constants
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Look-up tables
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Save math channels
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Definition of simple math channel
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Definition of complex math channel
Student Ratings & Reviews
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Free
Free access this course
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LevelIntermedio
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Duration3 horas
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Last Updated01/08/2025
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A course by
Material Includes
- Wintax 4 Junior
- LMP3 Data Examples
Tags
Target Audience
- Race or data engineers working in motorsport teams.
- Drivers interested in understanding how data can influence their performance.
- Mechanical or automotive engineering students with an interest in data analysis applied to motorsport.
- Enthusiasts who want to learn more about the technologies behind racing.