This course introduces Data Science students to exploratory data analysis with a focus on the concepts and tools necessary for understanding and successfully undertaking an end to end exploratory ...

Self-funded student: register by the 10th of the month, start on the 1st of the next. Funded student: please check the next enrolment deadline and course start date. This course will explore consumer ...

To enhance policy analysis, Statistics Canada developed online courses focused on utilizing disaggregated data effectively in public policy, including the two-part course entitled “The Importance of ...

This flexible course is delivered 100% online to allow you to fit your study around your work and other commitments. It explores the fields of data collection, analysis and social statistics using ...

Important considerations for collecting and analyzing disaggregated data include key subgroups and parameters for analysis, interpretation and reporting. Sponsors should pre-specify the strategy for ...

Quick hits: Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: ...

The “People, Process, Technology” framework has effectively guided many initiatives and projects over the years and produced valuable data for reports and business metrics. Now, we are innovating the ...

names of the data collection(s) you have already used; Your email should be sent from your LSE account as this confirms that you are a current LSE student or member of staff. We aim to respond to ...