This course will cover technical programming skills that are frequently identified as important by data science practitioners but which are not easy to cover within the current program structure. Examples of topics may include, but are not restricted to, SAS, SQL, Hadoop, Python, JAVA, visualization software (e.g., Tableau and Qlik) and others.
This course will cover technical programming skills that are frequently identified as important by data science practitioners but which are not easy to cover within the current program structure. Examples of topics may include, but are not restricted to, SAS, SQL, Hadoop, Python, JAVA, visualization software (e.g., Tableau and Qlik) and others.
