Source codes of the lessons and projects of the Udacity's Data Analyst Nanodegree Program
https://profiles.udacity.com/p/7072102468
- Project 01 - Bay Area Bike Share Analysis: This project aims to conduct an overview of what a data analyst does regularly. I investigated a raw dataset and shared my findings using a Jupyter Notebook. Using real-life data provided by Bay Area Bike Share, I determined differences in usage between commuters and tourists' ridership patterns, average duration of trips, and more.
- Project 02 - Test a Perceptual Phenomenon: This project aims to review the basic concepts of statistics, including how to identify components of an experiment; how to use descriptive statistics to describe qualities of a sample; and how to set up a hypothesis test, make inferences from a sample, and draw conclusions based on the results.
- Project 03 - Investigate a Dataset: This project aims to know all the steps involved in a typical data analysis process; know how to investigate problems in a dataset and wrangle the data into a format you can use; have practice communicating the results of your analysis; be able to use vectorized operations in NumPy and pandas to speed up your data analysis code; be familiar with pandas' Series and DataFrame objects, which let you access your data more conveniently; and know how to use Matplotlib to produce plots showing findings.
- Project 04 - Wrangle OpenStreetMap Data: This project aims to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity; parse and gather data from popular file formats such as .csv, .json, .xml, and .html; process data from multiple files or very large files that can be cleaned programmatically; and learn how to store, query, and aggregate data using MongoDB.
- Project 05 - Explore and Summarize Data: This project aims to explore a data set containing 22125 observations of issues tracking and their history logs. The data set represents 5 years of project management which aimed maintenance and customization of many integrated systems (SIG) for the academic, administrative and human resources management at the Universidade Federal de Goiás (UFG).