Data Science & Excel Modelling

This workshop explores advanced topics in QGIS, Grass GIS, and geospatial technology. The core focus is on spatial data analysis and visualization techniques. Participants will dive deeper into vector and raster data models, learn how to handle and store them in a geodatabase, and produce high-quality cartographic products and maps.

The study of land surface hydrology using remote sensing techniques has become greatly sophisticated within last ten years, especially after the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms.

This course focuses on the concepts and procedures used in discovering and applying the spatial relationships within and among maps.

Data drives the modern financial industry through various ways, starting from boosting cybersecurity all the way through the personalized offerings and increased customer satisfaction.

While trying to derive meaningful insights from sets of big data, Python has become an all-time favorite programming language for data scientists due to its syntax simplicity, robust libraries and community participation.

Data Science powers contemporary business value and uncovers a vast array of perspectives for growth, more and more companies are opening their doors for big data.