This repo hosts projects from my Udacity Data Analyst Nanodegree
- Exploratory data analysis on bikeshare data from Chicago, New York, and Washington DC
- Performed data wrangling to unify the format of data from three sources
- Python libraries used: NumPy, pandas, and Matplotlib
- Exploratory data analysis on match stats from the top 4 leagues in Europe: Spain, England, Italy, and Germany
- Performed full data analysis process Python: formulate questions, wrangle data, explore, draw conclusions, and communicate findings
- Exploratory Data Analysis on A/B test results run by an e-commerce website
- Performed probability computations, hypothesis testing, and logistic regression using Python
- Investigation on the Stroop Effect using descriptive statistics with measures of central tendency and variability
- Created a hypothesis regarding the outcome of the task and set up hypothesis tests using Python
- Made inferences and drew conclusions based on results
- Exploratory Data Analysis on wine quality data using R to learn: Univariate, Bivariate, and Multivariate Analysis
- Wrangled WeRateDogs Twitter data to create interesting analyses and visualizations
- Queried Twitter's API using tweepy (Python) to gather valuable data
- Programmatically gathered, assessed, and cleaned data from multiple sources and formats
- Created an explanatory data visualization from RITA's flight delay data set using Tableau