Course Highlights
  • Perform basic R programming tasks like working with data structures, data manipulation, using APIs, webscraping, and using R Studio and Jupyter.
  • Create relational databases and tables, load them with data from CSV files, and query data using SQL and R using JupyterLab.
  • Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling.
  • Communicate data analysis findings with data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny.
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Applied Data Science with R Specialization

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