This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process.
The typical student in this course will have experience in a business setting and a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
Overview
Syllabus
- Initiate a Data Science Project
- Before you dive into the technical details of data science, you need to understand how data science fits within a larger business context. On the job, you'll be applying your skills to achieve one or more business goals, so it's important to keep those goals in mind all throughout the project. In this first module, you'll begin developing a data science project that can achieve these goals.
- Formulate a Data Science Problem
- Now that you have a greater understanding of the project's goals and design principles, you can start thinking about how to approach the project using the power of data science. In this module, you'll contextualize your work as a potential solution to a data-driven problem.
- Apply What You've Learned
- You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.
Taught by
Sarah Haq, Stacey McBrine and Megan Smith Branch
