Introduction to Principles of Data Science

Business and technical leaders will discover how to measure their organization's data science maturity and determine whether it is data-driven. They will also learn how to apply the Healthy Data Science Organization Framework to foster a healthy data science attitude within the organization through practical and applied use cases. This framework was developed based on my experience as a data scientist working on end-to-end machine learning and data science solutions with external customers from a variety of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. The framework offers a lifecycle to help you organize how your data science projects are developed. A project's lifespan illustrates what happens from beginning to end when it is completed.