In this course, learners will be introduced the basics of data science through four distinct components: domain expertise, statistics, programing and communication. Through broad expertise in these four components, the learner will become a proficient data scientist able to competently and confidently solve complex problems in the real world.

Learners wil gain experience solving real-world problems involving data science through the use of data science concepts, R programming and the ability to generalize these concepts to other applications, and the ability to define appropriate conclusions based on sound statistical principles. 

Upon course completion, learners will gain a broad skill set and beable to solve problems faced by data-driven businesses across the world. Anyone looking to start a career in data science or interested in receiving a balanced background in data science topics should take this course.