Introduction to Data Science

Catalog description

This course provides an overview of Data Science, covering a broad selection of key challenges in and methodologies for working with big data. Topics to be covered include fundamentals in data science, the data science process, data source, collection, tools, integration, management, and informed decision making. This introductory course is integrative across the core disciplines of Data Science, including databases, statistics, data mining, machine learning, and business intelligence. Professional skills, such as communication, presentation, and data visualization, will be fostered. Students will acquire a basic knowledge of data science through hands -on exercises and case studies using Jupiter Notebook for Data Science. Issues of ethics, leadership, and teamwork are highlighted.