the following: ESRI technologies (ESRI ArcGIS API for JavaScript/REST, WebApp builder, ArcGIS Runtime DSK for .Net) -Open-source technology (Open Layers, Geo Server, PostgreSQL) - Experience in using python to develop geoprocessing solutions and using FME/Erdas Imagine -Excellent skills in terraform and ansible -Experience working on CI/CD pipeline setup using Jenkins with Continuous testing and More ❯
videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and More ❯
to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯
