Description: In this project, I perform a survival analysis using Germany life table from year 2008.

Description: This article is about how to use price elasticity theory to determine optimal price that maximizes revenues.

Description: In this project, I collected ~260.000 text data to figure out the current trend of security-related topics. Due to huge amount of text data, an unsupervised topic discovery algorithm is applied, i.e. Latent Dirichlet Algorithm (LDA). Before applying LDA, it is necessary to preprocess text data and convert it to be compatible as input for LDA. Furthermore I also did data exploratory analysis to figure out the general trend of security topics and general other programming topics.

Description: In this case study, an imaginary junior data analyst works in marketing department at a bike-share company. The director believes the company’s success depends on maximizing the number of annual membership. The assignment for the analytic team is to analyze available dataset to answer following questions: How do annual members and casual riders use rental bike differently? Why would casual riders buy annual memberships? How can digital media used to influence casual riders to become members?