Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Statistical Learning and Data Science.
Elementary Statistics: Descriptive and inferential statistics, probability distributions, estimation of parameters, hypothesis testing, correlation, and linear regression. Making Predictions with Data: Introduction to the techniques and software for handling real-world data. Topics include data cleaning, visualization, simulation, basic modelling, and prediction making. Graduate Course (UBC Data Science Program): Modeling and Simulation II:Markov chains and their applications, MCMC. Data Visualization II: Data visualization using business intelligence and data analysis software. Interactive visualization using Dash.
Courses:
Undergraduate: