Course Description
The Google Advanced Data Analytics course builds on the data analytics skills and experience to take students' career to the next level. It's designed for students who completed the prior data analytics course or those with equivalent data analytics experience. Students are given the opportunity to expand their knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau.
Units: 0
Non-Credit Not transferable
Course Details
- Grade Options: Satisfactory Progress
- In-Class Lecture Hours: 56 – 63
- In-Class Lab Hours: 0
- Retake Policy:
This is a noncredit course. Students can re-enroll as many times as necessary to achieve satisfactory progress.
Requisites and Advisories
- Prerequisites: NCGO 004
- Co-Requisites: None
- Advisory: None
Transfer Details
- CSU/UC:
Not transferable