Undergraduate Certificate in R for Effective Data Management
-- ViewingNowThe Undergraduate Certificate in R for Effective Data Management is a comprehensive course that empowers learners with essential data analysis skills using R, a powerful statistical software. This program highlights the importance of data management in modern industries, where effective data-driven decision-making is crucial.
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โข R Programming Basics – This unit will cover the fundamentals of the R programming language, including data types, variables, functions, and control structures.
โข Data Import & Export in R – Students will learn how to import and export data to and from R using various file formats such as CSV, Excel, and SQL databases.
โข Data Wrangling with dplyr – This unit will focus on data wrangling and manipulation using the dplyr package in R, including filtering, sorting, summarizing, and joining data frames.
โข Data Visualization with ggplot2 – This unit will cover data visualization using the ggplot2 package in R, including creating various types of plots, customizing visual aspects, and adding statistical models.
โข Data Management using Tidyverse – Students will learn how to manage and organize data using the tidyverse package in R, including working with date and time data, strings, and factors.
โข Data Transformation with tidyr – This unit will focus on data transformation using the tidyr package in R, including reshaping and pivoting data frames, and handling missing values.
โข Data Analysis using Statistical Models – Students will learn how to perform data analysis using various statistical models in R, including linear regression, logistic regression, and time series analysis.
โข Data Security & Governance in R – This unit will cover data security and governance best practices in R, including data encryption, access control, and data quality management.
โข Data Pipelines using R & Workflow Tools – The final unit will focus on creating data pipelines using R and various workflow tools such as Make, RStudio Connect, and GitHub Actions.
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