Executive Development Programme in Vehicle Performance Metrics: Data-Driven Analysis

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The Executive Development Programme in Vehicle Performance Metrics: Data-Driven Analysis is a certificate course designed to equip learners with essential skills to excel in the rapidly evolving automotive industry. This program highlights the importance of data-driven decision-making in vehicle performance analysis, allowing professionals to optimize vehicle efficiency, safety, and environmental impact.

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As data becomes increasingly vital in the automotive sector, there is growing demand for experts who can analyze, interpret, and apply performance metrics. This course provides learners with hands-on experience in data analysis techniques, statistical methods, and industry-specific tools. Upon completion, learners will be prepared to drive innovation, enhance vehicle performance, and contribute to the development of sustainable transportation solutions. By enrolling in this program, professionals demonstrate their commitment to staying at the forefront of industry trends, positioning themselves for long-term career advancement in the competitive automotive landscape.

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โ€ข Introduction to Vehicle Performance Metrics: Understanding key performance indicators (KPIs), primary and secondary metrics, and their impact on vehicle performance.
โ€ข Data Collection Techniques: Exploring data acquisition methods, including onboard diagnostics (OBD), telematics, and sensor technologies.
โ€ข Data Processing and Cleaning: Techniques to prepare raw data, handling missing values, outliers, and data normalization.
โ€ข Data Analysis Tools and Techniques: Utilizing statistical and machine learning tools, such as regression analysis, time-series forecasting, and clustering.
โ€ข Performance Metrics for Powertrain Systems: In-depth analysis of powertrain components, including engine, transmission, and drivetrain performance metrics.
โ€ข Vehicle Dynamics Metrics: Examining metrics related to vehicle handling, stability, and suspension performance.
โ€ข Data-Driven Decision Making: Utilizing performance metrics to optimize vehicle design, improve fuel efficiency, and reduce emissions.
โ€ข Visualization Techniques for Performance Metrics: Communicating results effectively using charts, graphs, and dashboards.
โ€ข Case Studies in Vehicle Performance Metrics: Real-world applications and best practices from the automotive industry.

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EXECUTIVE DEVELOPMENT PROGRAMME IN VEHICLE PERFORMANCE METRICS: DATA-DRIVEN ANALYSIS
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London College of Foreign Trade (LCFT)
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05 May 2025
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