Udacity – Data Analysis

Questioning, wrangling, exploring, analyzing, and communicating data. Work with data in Python using libraries like NumPy and Pandas as well as: Practical Statistics Apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models. // Data Wrangling Gathering, assessing, and cleaning data. Use of Python to wrangle data programmatically and preparing it for deeper analysis. // Data Visualization with Python Apply visualization principles to the data analysis process. // Explore data visually at multiple levels to find insights and create a compelling story.