Training Programs
Statistics, Data Analytics & Business Intelligence
Develop current, applicable expertise across data quality, analytics, visualization, statistics, business intelligence, reporting and evidence-based decisions. The programs connect individual growth with organizational priorities by helping teams build digital capability, adopt technology responsibly and convert data and innovation into measurable business value and professionals work more confidently with digital tools, analytics and emerging technologies as roles continue to evolve.

Total: 89
| Specialization | Days / Hours | ||||
|---|---|---|---|---|---|
| Statistical Analysis of Laboratory Data | Statistics, Data Analytics & Business Intelligence | 11 - 15 October 2026 | 5 / 20 | Basic to Intermediate | |
| Statistical Analysis of Laboratory Data | Statistics, Data Analytics & Business Intelligence | 11 - 15 October 2026 | 5 / 20 | Basic to Intermediate | |
| Data-Driven Process Improvement | Statistics, Data Analytics & Business Intelligence | 11 - 15 October 2026 | 5 / 20 | Basic to Intermediate | |
| Data-Driven Process Improvement | Statistics, Data Analytics & Business Intelligence | 11 - 15 October 2026 | 5 / 20 | Basic to Intermediate | |
| AI and Data Analytics in Construction | Statistics, Data Analytics & Business Intelligence | 11 - 15 October 2026 | 5 / 20 | Basic to Intermediate | |
| Advanced Research and Data Analysis Techniques | Statistics, Data Analytics & Business Intelligence | 12 - 16 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Advanced Data Management and Business Intelligence | Statistics, Data Analytics & Business Intelligence | 12 - 16 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Advanced Data Management and Business Intelligence | Statistics, Data Analytics & Business Intelligence | 13 - 17 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Statistical Analysis of Laboratory Data | Statistics, Data Analytics & Business Intelligence | Live Online | 18 - 22 October 2026 | 5 / 20 | Basic to Intermediate |
| Statistical Analysis of Laboratory Data | Statistics, Data Analytics & Business Intelligence | 18 - 22 October 2026 | 5 / 20 | Basic to Intermediate | |
| Data Analysis with Python, SQL and Dashboards | Statistics, Data Analytics & Business Intelligence | 18 - 22 October 2026 | 5 / 20 | intermediate | |
| Advanced Data Management and Business Intelligence | Statistics, Data Analytics & Business Intelligence | 18 - 22 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Advanced Data Management and Business Intelligence | Statistics, Data Analytics & Business Intelligence | 18 - 22 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Data and Information Sources in Oil and Gas | Statistics, Data Analytics & Business Intelligence | 18 - 22 October 2026 | 5 / 20 | Basic to Intermediate | |
| Data Science and Digital Twins for Road-Infrastructure Professionals | Statistics, Data Analytics & Business Intelligence | 19 - 23 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Data Analysis with Python, SQL and Dashboards | Statistics, Data Analytics & Business Intelligence | 19 - 23 October 2026 | 5 / 20 | intermediate | |
| Advanced Data Management and Business Intelligence | Statistics, Data Analytics & Business Intelligence | 19 - 23 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Advanced Data Management and Business Intelligence | Statistics, Data Analytics & Business Intelligence | 19 - 23 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Data Science and Digital Twins for Road-Infrastructure Professionals | Statistics, Data Analytics & Business Intelligence | 20 - 24 October 2026 | 5 / 20 | Intermediate to Advanced | |
| Advanced Research and Data Analysis Techniques | Statistics, Data Analytics & Business Intelligence | 25 - 29 October 2026 | 5 / 20 | Intermediate to Advanced | |
| AI and IoT for Geospatial Data in Construction and Asset Management | Statistics, Data Analytics & Business Intelligence | 25 - 29 October 2026 | 5 / 20 | Basic to Intermediate | |
| Artificial Intelligence and Deep-Learning Fundamentals | Statistics, Data Analytics & Business Intelligence | 25 - 29 October 2026 | 5 / 20 | intermediate | |
| Data and Information Sources in Oil and Gas | Statistics, Data Analytics & Business Intelligence | 25 - 29 October 2026 | 5 / 20 | Basic to Intermediate | |
| AI and IoT for Geospatial Data in Construction and Asset Management | Statistics, Data Analytics & Business Intelligence | 26 - 30 October 2026 | 5 / 20 | Basic to Intermediate | |
| AI and Data Analytics in Construction | Statistics, Data Analytics & Business Intelligence | 26 - 30 October 2026 | 5 / 20 | Basic to Intermediate |