This repository contains projects for Udacity's Data Analyst Nanodegree.

Complete your first project analyzing bike rental data. It’s a great project to tackle during the first week in your Nanodegree to see if the program is a good fit for you!

• Project: Analyze Bay Area Bike Share Data

Learn to use descriptive statistics to describe properties of datasets and learn about how samples and populations are related.

Choose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.

• Project: Investigate a Dataset

Choose a region of the world from www.openstreetmap.org and then use data wrangling techniques to audit and clean the data. You'll then use a database to query the cleaned data.

• Project: Wrangle OpenStreetMap Data

Use R and apply exploratory data analysis techniques to explore a selected data set for distributions, outliers, and relationships.

• Project: Explore and Summarize Data

Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology.

• Project: Test a Perceptual Phenomenon

Play detective and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.

• Project: Identify Fraud from Enron Email

Understand the importance of data visualization. Know how different data types are encoded in visualizations. Select the most effective chart or graph based on the data being displayed.

• Project: Create a Tableau Story