{"id":1528,"date":"2024-02-07T15:06:02","date_gmt":"2024-02-07T14:06:02","guid":{"rendered":"https:\/\/docenti-deps.unisi.it\/di-biase\/?page_id=1528"},"modified":"2025-01-17T11:31:34","modified_gmt":"2025-01-17T10:31:34","slug":"data-analysis-for-social-scientists","status":"publish","type":"page","link":"https:\/\/docenti-deps.unisi.it\/di-biase\/teaching\/data-analysis-for-social-scientists\/","title":{"rendered":"Data analysis for social scientists 2023\/2024"},"content":{"rendered":"
\n

Learning objectives<\/h3>\n

The aim of the course is to lay a foundation for analysis of real-world data.
\nAt the end of the course, students will have learned the appropriate skills to analyze complex data.<\/p>\n<\/div>\n

\n

Requirements<\/h3>\n

Elements of descriptive statistics and probability theory.<\/p>\n<\/div>\n

\n

Contents<\/h3>\n

The course is organized as follows.
\nFirst part (30 hours):
\nIntroduction to R and RStudio.
\nData visualization.
\nData wrangling and tidy data.
\nStatistical foundations.
\nPredictive analysis: regression and machine learning.
\nSecond part (30 hours):
\nSimulation.
\nData querying: R and SQL.
\nGeospatial data.
\nText as data.
\nIn order to obtain the 4 CFU of the course \u201cData Analysis for social scientists Mod 1\u201d, it is necessary to pass the first part of this course. The remaining 4 CFU will be obtained after the Mod 2 (Professor Parrotta).
\nBoth parts are necessary for the 8 CFU course.<\/p>\n<\/div>\n

\n

Methods of evaluation<\/h3>\n

4 CFU course.
\nLearning assessment will take place through two assignments and a final test.
\nThe assignments will include exercises and the evaluation of each assignment will weigh 15% of the total.
\nThe final test, which will weigh 20% of the total, will be a written test with multiple choice questions. The aim of the final test is to verify the understanding of all the statistical techniques addressed during the course.
\n8 CFU course.
\nLearning assessment will take place through two assignments and a final test.
\nThe assignments will include exercises and the evaluation of each assignment will weigh 25% of the total.
\nThe final test, which will weigh 50% of the total, will be a written test with multiple choice questions. The aim of the final test is to verify the understanding of all the statistical techniques addressed during the course.<\/p>\n<\/div>\n

\n

Suggested reading list<\/h3>\n

Modern Data Science with R (2nd ed.) by Benjamin S. Baumer, Daniel T. Kaplan and Nicholas J. Horton. Chapman and Hall\/CRC. ISBN-13: \u200e978-0367191498
\nhttps:\/\/parch.unisi.it\/usiena\/leganto.php?idcourse=21856<\/a><\/p>\n<\/div>\n

\n

More information<\/h3>\n

R programming language (R Core team) will be used for data analysis.
\nE-learning page: https:\/\/elearning.unisi.it\/course\/view.php?id=9998<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Learning objectives The aim of the course is to lay a foundation for analysis of real-world data. At the end of the course, students will have learned the appropriate skills to analyze complex data. Requirements Elements of descriptive statistics and probability theory. Contents The course is organized as follows. First part (30 hours): Introduction to … Leggi tutto “Data analysis for social scientists 2023\/2024”<\/span><\/a><\/p>\n","protected":false},"author":66,"featured_media":0,"parent":11,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1528","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/pages\/1528","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/users\/66"}],"replies":[{"embeddable":true,"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/comments?post=1528"}],"version-history":[{"count":6,"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/pages\/1528\/revisions"}],"predecessor-version":[{"id":1552,"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/pages\/1528\/revisions\/1552"}],"up":[{"embeddable":true,"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/pages\/11"}],"wp:attachment":[{"href":"https:\/\/docenti-deps.unisi.it\/di-biase\/wp-json\/wp\/v2\/media?parent=1528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}