Analytics Process
The analytics process of diagnostic and predictive analytics. Data prep tasks - data collection, data cleansing, data munging and data visualisation. Build analytics model - convert unstructured data into quantified metrics.
The analytics process of diagnostic and predictive analytics. Data prep tasks - data collection, data cleansing, data munging and data visualisation. Build analytics model - convert unstructured data into quantified metrics.
Diagnostic Analytics Essentials
Diagnostic analytics objectives, processes, data prepping. Data modelling for diagnostic analytics with Jupyter Notebook, Python and SQL Lab Data visualisation for diagnostic analytics - Apache Superset.
Diagnostic analytics objectives, processes, data prepping. Data modelling for diagnostic analytics with Jupyter Notebook, Python and SQL Lab Data visualisation for diagnostic analytics - Apache Superset.
Predictive Analytics Essentials
Predictive analytics objectives, best practices, processes, data prepping and model building using Hive, Spark SQL and PySpark. Recognise and select an appropriate machine learning algorithm at hand. Predictive modelling - decision-tree, clustering with Jupyter Notebook, Python and scikit-learn
Predictive analytics objectives, best practices, processes, data prepping and model building using Hive, Spark SQL and PySpark. Recognise and select an appropriate machine learning algorithm at hand. Predictive modelling - decision-tree, clustering with Jupyter Notebook, Python and scikit-learn