Full-Time Immersive course exploring Data Science and its applications to organizations. The course is incredibly detailed, with the main areas of study being:- Python: NumPy, Pandas, data cleaning and visualization- Github: Utilising the software in a professional setting, operating from Command Prompt and branching/pulling from Master- Machine Learning: Regression, Classification and Clustering algorithms in detail, with a thorough understanding of the mathematical and statistical justifications for their use- Web Scraping: Using Spiders, XPath, BeautifulSoup4 and Selenium to scrape data from websites and processing using PythonNOTABLE PROJECTS:- Predicting House Prices in Iowa using Regression Models- Identifying factors contributing to the Data Science job market in Sydney using webscraping, Natural Language Processing, regression and classification models- Predicting the NBA career trajectory of College athletes using their amateur statistics

Managed the Human Resources function end-to-end for a medium-sized Hospitality company, including: - reporting - analytics - recruitment - performance management - WHS- immigration - payroll - formulation of policies and procedures