Projects for my Udacity Data Analyst Nanodegree
An opportunity to get started with data analysis and receive some quick feedback about your progress.
Set up iPython notebook and commonly used data analysis libraries on your own computer. Use them to dig into the results of an experiment testing the optimal length of chopsticks and present your findings.
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
Gathered data from WeRateDogs page on Twitter.
Make design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyze the results of an A/B test that was run by Udacity and recommend whether or not to launch the change for the website.
Use Pandas and apply exploratory data analysis techniques to explore a selected data set for distributions, outliers, and anomalies.
Developing Data Scientists and Engineers
