Big Data & Data Science - Analyses

- Data science - Overview, basics and tools; interaction with Big Data - Data science, programming and statistics - CRISP-DM (CRoss-Industry Standard Process for Data Mining): Business understanding, data understanding (data collection and review), data preparation, modelling (application and optimisation of data mining procedures), evaluation (selection of the most suitable model), deployment - Data sources, programming languages, SQL, web formats, tool/model handling: Correlation, clustering, data analysis, data exploration, machine learning - Evaluation, preparation and presentation of results