DS 110 Introduction to Data Science

This course provides an introduction to data science, covering essential concepts. Students learn how to extract value from data for organizations. Topics in this course include project management and communication, along with techniques for data understanding and preparation that professionals use to build and sustain a problem-solving pipeline. By the end of the course, students become familiar with key data science frameworks and tools.

Credits

5

Outcomes

1. As a result of this course, students will know or be able to do the following:
2. 1. Utilize the data science project life cycle.
3. 2. Adhere to best practices for data acquisition, cleaning, and integration.
4. 3. Use visualization tools to analyze data.
5. 4. Identify and analyze types of problems that can be addressed with key data science tools.
6. 5. Assess the results of supervised learning techniques.
7. 6. Produce a data science deliverable using suitable frameworks and tools.