Data Science Archives - º£½ÇÂÒÂ× /academic-area/data-science/ º£½ÇÂÒÂ× Wed, 13 May 2020 16:28:55 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 /wp-content/uploads/2019/10/favicon1.ico Data Science Archives - º£½ÇÂÒÂ× /academic-area/data-science/ 32 32 Analytics Capstone /course/analytics-capstone/ Wed, 15 Jan 2020 17:08:49 +0000 https://live-great-bay-wp.pantheonsite.io/course/analytics-capstone/ This course serves as a final project for students who are seeking either the Certificate in Practical Data Science or the Associate Degree in Analytics. Students will need to combine […]

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]]> This course serves as a final project for students who are seeking either the Certificate in Practical Data Science or the Associate Degree in Analytics. Students will need to combine knowledge gained in Statistics, including descriptive statistics, regression and analysis of variance, as well as advanced R programming language concepts and data extraction techniques to research a topic, perform data analysis and create a reproducible report. Prerequisites: Successful completion of DATA220G and MATH235G with a C or better or by dept/program advisor approval. Spring semester

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]]> Data Analysis with R /course/data-analysis-with-r/ Wed, 15 Jan 2020 17:08:47 +0000 https://live-great-bay-wp.pantheonsite.io/course/data-analysis-with-r/ This course is an applied statistics course that introduces students to key topics in data science, including exploration, statistical data analysis and communicating the results of data analyses. Major topics […]

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]]> This course is an applied statistics course that introduces students to key topics in data science, including exploration, statistical data analysis and communicating the results of data analyses. Major topics include advanced R programming language concepts, working as a standalone data analyst and within a team, organizing analysis projects, modeling with univariate, bivariate and multivariate data and basic clustering, classification and time series analysis and forecasting. Prerequisites: C or better in DATA210G (or by department approval) and MATH235G (may be co- requisite). Spring semester

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]]> Elements of Data Science /course/elements-of-data-science/ Wed, 15 Jan 2020 17:08:47 +0000 https://live-great-bay-wp.pantheonsite.io/course/elements-of-data-science/ This course is the foundation for introducing students to key topics in data science, including data acquisition/preparation and exploratory data analysis. Major topics include an introduction to the R programming […]

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]]> This course is the foundation for introducing students to key topics in data science, including data acquisition/preparation and exploratory data analysis. Major topics include an introduction to the R programming language and RStudio integrated development environment, working with modern data formats (e.g. XML, CSV, JSON, XLS, XHTML), data import/export (e.g. files, APIs – application programming interfaces – , web sites, databases), finding data to augment analyses, and exploratory data analysis & visualization. Prerequisite: MATH145G/147G or MATH150G/152G or higher. Some prior programming experience is helpful but not required. Fall/Spring semesters

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