Data Analysis Techniques for Engineers, Scientists & Managers

Course Introduction

This course is designed to provide engineers, scientists, and technical managers with practical tools and methodologies for analyzing data effectively. Combining statistical analysis with modern computational techniques, the course emphasizes real-world problem-solving across technical and managerial domains. Participants will learn how to handle large datasets, extract meaningful patterns, and make data-driven decisions that enhance operational efficiency, product quality, research outcomes, and strategic planning.
With a balanced mix of theory, hands-on exercises, and case studies from engineering, scientific research, and management, the course equips participants with actionable analytical skills applicable in R&D, production, quality control, and strategic functions.

Objectives

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

1.Understand key data analysis concepts and their application in technical and managerial contexts.

2.Collect, clean, and prepare technical data for meaningful analysis.

3.Apply statistical techniques such as regression, hypothesis testing, ANOVA, and correlation analysis.

4.Use software tools (e.g., Excel, MATLAB, Python, or R) to perform data analysis and generate insights.

5.Visualize complex datasets using charts, dashboards, and interactive tools to support communication.

6.Interpret results accurately and make data-driven decisions in engineering, research, and management scenarios.

7.Identify and mitigate data quality issues and biases to improve analysis reliability.

8.Integrate data analysis into continuous improvement, R&D, and strategic initiatives.

Daily Topics

For registration, course outline & more information please contact

NAYEL Training Centre 

Tel: +971 45587735 | Mob: +971 50 249 6876 | WhatsApp: +971 50 249 6876

Email:  [email protected]