Data Science Projects

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

Practice data cleaning, analysis, and visualization in R to explore survey data and showcase your skills with R Notebooks.

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 building a spam filter using the Naive Bayes algorithm and key probability concepts in R.

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

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

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

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.