Data Science and Analytics in Construction Project Management
Code: CON 017
| Course Code | Date | Venue | |
|---|---|---|---|
| CON 017 | 26-01-2025 - 30-01-2025 | Dubai,UAE | Register - 4,500.00 $ |
| CON 017 | 24-02-2025 - 28-02-2025 | KUALALUMPUR, MALAYSIA | Register - 4,700.00 $ |
| CON 017 | 03-03-2025 - 07-03-2025 | Abu Dhabi, UAE | Register - 4,700.00 $ |
| CON 017 | 08-04-2025 - 12-04-2025 | Houston, USA | Register - 5,750.00 $ |
| CON 017 | 25-05-2025 - 29-05-2025 | SINGAPORE | Register - 4,700.00 $ |
| CON 017 | 15-06-2025 - 19-06-2025 | Dubai,UAE | Register - 4,500.00 $ |
| CON 017 | 27-07-2025 - 31-07-2025 | LONDON, UK | Register - 47,900.00 $ |
| CON 017 | 09-08-2025 - 13-08-2025 | Abu Dhabi, UAE | Register - 4,700.00 $ |
| CON 017 | 14-09-2025 - 18-09-2025 | Manam, Bahrain | Register - 4,700.00 $ |
| CON 017 | 27-10-2025 - 31-10-2025 | KUALALUMPUR, MALAYSIA | Register - 4,700.00 $ |
| CON 017 | 10-11-2025 - 14-11-2025 | SINGAPORE | Register - 4,700.00 $ |
| CON 017 | 07-12-2025 - 11-12-2025 | Bandar Seri Begawan, Brunei Darussalam | Register - 4,700.00 $ |
Data Science and Analytics in Construction Project Management
Day 1: Introduction to Data Science in Construction
Morning Session:
- Importance of Data Science in Construction
- Overview of Analytics in Construction Project Management
- Key Performance Indicators (KPIs) in Construction Projects
Afternoon Session:
- Case Studies on Successful Data Science Applications in Construction
- Role of Data in Decision-Making
- Introduction to Data Science Project Lifecycle in Construction
Day 2: Data Collection and Integration
Morning Session:
- Sources of Data in Construction Projects
- Data Collection Techniques and Tools
- Challenges in Data Integration in Construction
Afternoon Session:
- Building Information Modeling (BIM) and Data Interoperability
- Integrating Data Across Different Project Phases
- Practical Exercises in Data Collection and Integration
Day 3: Data Cleaning and Preparation
Morning Session:
- Importance of Data Quality in Analytics
- Techniques for Cleaning and Preparing Construction Data
- Handling Missing Data and Outliers
Afternoon Session:
- Data Transformation and Feature Engineering
- Case Studies on Data Cleaning and Preparation in Construction
- Group Exercises on Data Cleaning Techniques
Day 4: Data Visualization and Exploration
Morning Session:
- Principles of Data Visualization in Construction
- Tools for Data Visualization
- Effective Communication through Visualizations
Afternoon Session:
- Exploratory Data Analysis (EDA) in Construction Projects
- Visualization Techniques for Project Performance Monitoring
- Hands-On Session with Data Visualization Tools
Day 5: Predictive Modeling and Deployment
Morning Session:
- Introduction to Predictive Modeling in Construction
- Techniques for Predictive Modeling (Regression, Classification)
- Model Deployment Strategies
Afternoon Session:
- Real-world Applications of Predictive Modeling in Construction
- Group Project: Building and Deploying Predictive Models
- Course Review, Evaluation, and Feedback