Undergraduate Certificate in Innovations in Social Science Research with R
-- ViewingNowThe Undergraduate Certificate in Innovations in Social Science Research with R is a comprehensive course that focuses on enhancing research skills using the R programming language. This certification equips learners with essential data analysis and visualization skills, making them highly attractive to employers in various industries such as healthcare, finance, and technology.
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⢠Introduction to R for Social Science Research: Fundamentals of R programming, data types, variables, functions, and data structures.
⢠Data Wrangling and Cleaning with R: Data preprocessing, data manipulation, data transformation, and data merging using R packages such as dplyr and tidyr.
⢠Data Visualization with R: Data visualization techniques, creating graphs, charts, and plots using R packages such as ggplot2 and lattice.
⢠Statistical Analysis with R: Descriptive and inferential statistics, hypothesis testing, regression analysis, and correlation using R.
⢠Machine Learning with R: Supervised and unsupervised machine learning techniques, model evaluation, and model selection using R packages such as caret and mlr.
⢠Social Network Analysis with R: Network analysis, centrality measures, and visualization using R packages such as igraph and sna.
⢠Text Analysis with R: Text cleaning, preprocessing, and analysis using R packages such as tm and quanteda.
⢠Reproducible Research with R: Best practices for reproducible research, version control, and collaboration using R Markdown and Git.
⢠Ethics and Privacy in Social Science Research with R: Ethical considerations, data privacy, and confidentiality in social science research using R.
Note: This is a suggested list of units, and the actual units may vary depending on the institution and program.
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