Udacity Data Analyst Nanodegree Completed Projects

CERTIFICATION

Project1: Analyze Bay Area Bike Share Data

Analyzing data from a bike share company found in the San Francisco Bay Area by using key steps of the data analysis process .

Project2: Investigate a Dataset

Choosing one of Udacity's curated datasets and investigating using NumPy and pandas starting by posing a question and finishing by sharing findings that is the entire data analysis process.

Project3: Wrangle OpenStreetMap Data

Using data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world.

Project4: Explore and Summarize Data

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

Project5: Test a Perceptual Phenomenon

Using descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. In addition, communicating understanding of the data and using statistical inference to draw a conclusion based on the results.

Project6: Identify Fraud from Enron Email

Building an machine learning algorithm to identify Enron employees who may have committed fraud based on the public Enron financial and email dataset.

Project7: Make an Effective Visualization

Creating a data visualization, using Tableau, from a data set that tells a story or highlights trends or patterns in the data. Work is a reflection of the theory and practice of data visualization, harnessing visual encodings and design principles for effective communication.