Data Science Projects

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

Practice building a deep learning model in TensorFlow to predict IPO listing gains using real Indian stock market data.

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

Practice exploratory data visualization in Python using pandas, Matplotlib, and Seaborn to find indicators of heavy traffic on I-94.

Practice analyzing COVID RNA sequences in Python to explore virus mutations and develop bioinformatics skills.

Practice optimizing linear regression models using cross-validation, regularization, and feature engineering in Python.

Practice using R Notebooks to clean, reshape and visualize survey data to analyze perceptions of NYC schools.

Practice building interactive Tableau dashboards to explore data, uncover insights, and share findings with stakeholders.

Practice data visualization techniques in R to explore forest fire data and answer questions through visual analysis.

Practice creating interactive data visualizations in Tableau to provide business insights for data-driven decisions.

Practice using advanced SQL queries, pandas plotting, and written analyses to answer real-world business questions.

Practice applying design principles to create engaging Excel visualizations and a report using real stock market data.