I got two Udacity Data Analysis Nanodegrees. I learned: * Descriptive Statistics (Measures of center, spread, shape, and outliers) * Spreadsheets (Manipulating, visualizing, and analyzing data) * Business Metrics (KPIs, marketing, sales, and Excel Modeling) * Basics of python and a lot of methods and functions to be used in analysis * Various python's libraries such as NumPy, pandas, and matplotlib * Data wrangling process (Gathering, Assessing, and Cleaning) * Data visualization * Making a report for the whole analysis process