Data Science Projects

Practice using linear regression in R to predict condominium sale prices based on size and location in New York City.

Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.

Practice analyzing COVID-19 data in R to identify affected countries, visualize insights with ggplot2, and quantify testing efforts.

Practice installing R and RStudio, exploring RStudio’s features, and programming in R to build data science skills.

Practice control flow, loops, and functions in R to create an efficient, reusable data analysis workflow.

Practice web scraping with R to extract IMDb movie data, analyze ratings and votes, and build data visualization skills.

Practice combining statistical skills in R to perform practical data analysis and find the best markets to advertise in.

Practice extracting solar resource data from an API, parsing JSON responses, and converting complex lists into dataframes in R.

Practice using chi-squared tests and text analysis in R to uncover patterns and develop winning strategies for Jeopardy.

Practice building an interactive Shiny app to showcase your R data analysis projects in a professional portfolio.

Practice using probability and combinatorics in R to build an app that helps lottery players make informed decisions.

Practice R programming to clean sales data, process reviews, and evaluate a new program’s business impact.