{"title":"Working with Data","authors":"P. McNicholas, Peter A. Tait","doi":"10.1201/9781351013673-3","DOIUrl":"https://doi.org/10.1201/9781351013673-3","url":null,"abstract":"Knowing how to work with data in many formats is an essential skill for humanists and social scientists in their study of the world. In this course, students study the principles of database design and learn to build, populate, manipulate, and query databases based on datasets relevant to their fields of interest, using a project-based learning approach. Students will also explore data presentation through data visualization.","PeriodicalId":158724,"journal":{"name":"Data Science with Julia","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133993589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Useful Mathematical Results","authors":"P. McNicholas, Peter A. Tait","doi":"10.1201/9781351013673-10","DOIUrl":"https://doi.org/10.1201/9781351013673-10","url":null,"abstract":"","PeriodicalId":158724,"journal":{"name":"Data Science with Julia","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134315028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Linear Algebra Functions","authors":"P. McNicholas, Peter A. Tait","doi":"10.1201/9781351013673-12","DOIUrl":"https://doi.org/10.1201/9781351013673-12","url":null,"abstract":"","PeriodicalId":158724,"journal":{"name":"Data Science with Julia","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124820379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Tips","authors":"P. McNicholas, Peter A. Tait","doi":"10.1201/9781351013673-11","DOIUrl":"https://doi.org/10.1201/9781351013673-11","url":null,"abstract":"","PeriodicalId":158724,"journal":{"name":"Data Science with Julia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128757015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Julia and R Packages Used Herein","authors":"P. McNicholas, Peter A. Tait","doi":"10.1201/9781351013673-8","DOIUrl":"https://doi.org/10.1201/9781351013673-8","url":null,"abstract":"","PeriodicalId":158724,"journal":{"name":"Data Science with Julia","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115488714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Variables for Food Data","authors":"P. McNicholas, Peter A. Tait","doi":"10.1201/9781351013673-9","DOIUrl":"https://doi.org/10.1201/9781351013673-9","url":null,"abstract":"","PeriodicalId":158724,"journal":{"name":"Data Science with Julia","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127727120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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