Data Science in Practice
Many aspects of day-to-day data science work are almost absent from the conventional statistics literature and curriculum. Yet these activities account for a considerable share of the time and effort of data professionals in the industry. This short course focuses on the practical side of data science and statistical analysis. This course aims to increase the visibility of industrial data science-related career, data workflows, data environment, project cycle, and most common techniques. It is designed for audiences with a statistics education background, and it bridges the gap between traditional statisticians and data professionals in the industry. No software download or installation is needed, and the hands-on part is done through the internet browser with hands-on sessions in Databrick's cloud environment or Colab.