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Udacity — Data Analyst Nanodegree Projects

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

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