Udacity Data Analyst Nanodegree
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology.
Inspect NYC subway data and weather data to find the relationship between ridership and weather condition.
Inspect Open Street Data (https://www.openstreetmap.org) and using MongoDB to explore and clean the data. Using Google and Wikipedia data to cross verify the correctness of the open data.
Using Rstudio to explore the ingredients of white wine and find the relationship between each ingredients and the quality of wine.
Using scikit-learn library to build a model that can identify person-of-interest from financial data and communication data. The final model can find POI well and not gives too many false alarms. (High recall and acceptable precision)
Using D3.js and dimple.js to build an interactive visualization that comparing the learning time and learning achievement of each country. The data comes from PISA 2012 original dataset.
Constructing an A/B Test experiment and make suggestions to market team by the experiment result.