SAGE Virtual Summer School: Data Science for Social Scientists
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Introduction to Big Data for Social Scientists
This virtual summer school provides practical guidance on combining methods and tools from computer science, statistics, and social science. The course presents the key big data tools in language social scientists will be familiar with, with a focus on research questions, ethics and practical outcomes. You will learn social science and data science principles through real-world applications, and you'll learn how computer science concepts can be linked to real social science problems.
Level: Foundational
Time commitment: 3 days / 4 hours per day
Cost: $400
Fundamentals of Machine Learning for Social Scientists
This virtual summer school covers the fundamentals of machine learning methods and the methodology for applying them to real world social science analytics problems. The course outlines the stages involved in a machine learning analysis, and walks through how to perform them using the R programming language. Through exercises and practical activities, you will gain hands on experience in using the methods presented.
Level: Foundational
Time commitment: 3 days / 4 hours per day
Cost: $400
Introduction to Python for Social Scientists
This virtual summer school is introduces the Python programming language for social scientists. The course shows how to move from being an SPSS or R user to Python, allowing you to tackle social science data problems in a new way. Through practical examples and exercises, you will build up the skills needed to perform data analysis using Python.
Level: Foundational
Time commitment: 3 days / 4 hours per day
Cost: $400