Unit Code: FIT5196
Duration: 6 weeks
Contact Hours: 20-24 hours of study per week
Credit Points: 6
Data wrangling is an important aspect of data science, and essential when converting raw data into actionable insights that align with an organisation’s needs. ‘Data wrangling’ foregrounds the problems that prevent raw data from being effectively used in analytics, and how rigorous data cleanings and pre-processing is fundamental to preparing data for analytics. You will gain practical skills – conducted through Python and the Pandas environment – in handling bad and missing data, data integration, initial feature selection, text mining and web analytics.