This repository contains projects for Udacity's Data Analyst Nanodegree. The nanodegree was completed on May 30, 2019.
This project will introduce you to the SQL and how to download data from a database. You’ll analyze local and global temperature data and compare the temperature trends where you live to overall global temperature trends.
In this project, you’ll choose one of Udacity's curated datasets and investigate it using NumPy and pandas. You’ll complete the entire data analysis process, starting by posing a question and finishing by sharing your findings.
In this project, you will be provided a dataset reflecting data collected from an experiment. You’ll use statistical techniques to answer questions about the data and report your conclusions and recommendations in a report.
Real-world data rarely comes clean. Using Python, you'll gather data from a variety of sources, assess its quality and tidiness, then clean it. You'll document your wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python and SQL.
In this project, you will use Python’s data visualization tools to systematically explore a selected dataset for its properties and relationships between variables. Then, you will create a presentation that communicates your findings to others.