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Data Science Math Skills
Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
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Course by
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Self Paced
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13 hours
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English
Comparative Research Designs and Methods
Emile Durkheim, one of the founders of modern empirical social science, once stated that the comparative method is the only one that suits the social sciences. But Descartes already had reminded us that “comparaison n’est pas raison”, which means that comparison is not reason (or theory) by itself. This course provides an introduction and overview of systematic comparative analyses in the social sciences and shows how to employ this method for constructive explanation and theory building.
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Course by
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10 hours
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English
Logic for Economists
This course provides a very brief introduction to basic mathematical concepts like propositional and predicate logic, set theory, the number system, and proof techniques. At the end of the course, students will be able to (1) detect the logical structure behind simple puzzles (2) be able to manipulate logical expressions (3) explain the connection between logic and set theory (4) explain the differences between natural, integer, rational, real and complex numbers (5) recognise different basic proof techniques
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Course by
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Self Paced
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7 hours
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English