![]() This does not only mean that a majority of people worldwide live in cities, but also that cities are increasingly becoming larger and more complex. Urban Data Analytics 2 Course introductionįor the first time in history, more than half of the world’s population lives in urban areas. Online recorded lectures Live plenary sessions Live Q&A sessions In-class/online workshops Exercises Self-study The statistical software that will be used in this course is STATA 16. Descriptive statistics (measures of central tendency, measures of spread, correlation).Introduction to quantitative data analysis.The course introduces participants to basic data analytics and entails the following seven sessions: Understand how quantitative data analysis output is interpreted, find meaning in the data, and learn how findings can be translated into policy recommendations and/or reflection on theory.Understand the basics of regression analysis using the ordinary-least-squares method and apply the knowledge in practice using statistical software.Comprehend the power of random sampling and how to use that information for hypothesis testing.Be able to use and explain the main tools of descriptive data analysis and visualisation and apply these in practice using statistical software.Identify situations in which quantitative data analysis provides useful information in an urban context.Understand what quantitative data analysis entails and how it differs from qualitative data analysis.More specifically, after following UDA students should have achieved the following learning objectives: ![]() The aim of this course is to equip participants with a basic tool set that will capacitate them to work with data and interpret results for testing and refining theory as well as supporting evidence-based policy making. Students will also learn how to present descriptive statistics and data visualisation in academic studies. The focus is, besides understanding, on working with real data and practicing how to conduct data analyses, which students learn in workshops and with exercises. The course begins with introducing students to quantitative data analysis (compared to qualitative data analysis), and continues with lectures on descriptive statistics and data visualisation. This course will teach students how to harness the power of quantitative urban data by mastering the way they are prepared, visualised and analysed. ![]() Urban Data Analytics 1 Course introduction ![]()
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