Objectives:
Data processing is central to business, particularly when it comes to understanding the market or
decision-making. It involves training in the collection, processing and understanding of
of data
Learning Outcomes:
-Modelling a complex problem to translate it into a value chain (Collection, Storage,
Analytics, Visualisation)
-collect and prepare data (cleaning, exploration, dimension selection) for Machine Learning
Machine Learning algorithms
-identify and formulate a Machine Learning problem
-identify the relevant algorithms for processing and visualisation
-dimensioning resources for a processing chain to solve a complex problem
-ensure the scalability of processing to meet the challenges of large volumes and variability in Big Data Analytics projects
