Unlock the Power of Data Science and Analytics for Construction Project Success

Details

This course will provide a comprehensive overview of data science and analytics in construction project management, including the importance of data-driven decision making, data collection and cleaning, data visualization and exploration, predictive modeling, and deployment of models. The course will cover both theoretical and practical aspects of data science and analytics and will be taught through a combination of lectures, case studies, and hands-on exercises

Target Group

This training course is suitable for construction project managers, data scientists, construction engineers, project coordinators, and any other professionals interested in leveraging data science and analytics to improve project outcomes in construction project management.

Goals

• Understand the importance of data science and analytics in construction project management
• Learn about the different stages of a data science project in construction project management
• Acquire knowledge of data collection, cleaning and preparation techniques
• Learn about data visualization and exploration techniques
• Gain knowledge of predictive modeling techniques and deployment of models

Outlines

Introduction to Data Science and Analytics in Construction Project Management

• Definition of data science and analytics
• Importance of data-driven decision making in construction project management
• Overview of the data science project life cycle

Data Collection and Preparation

• Understanding the types of data in construction project management
• Collection of data and data sources
• Data cleaning and preparation techniques