DATA 101 Data Analytics (Google)
13 college credits (ACE)
- Foundations: Data, Data, Everywhere
- Ask Questions to Make Data-Driven Decisions
- Prepare Data for Exploration
- Process Data from Dirty to Clean
- Analyze Data to Answer Questions
- Share Data through the Art of Visualization
- Data Analysis with R Programming
- Google Data Analytics Capstone: Complete a Case Study
- Accelerate Your Job Search with AI
Tri-Credit generates valuable credit in three ways: high school credit, a recognized industry credential from Google, and college credit.
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High School Credit: Awarded by the homeschool. The course is self-paced, with an estimated 166 hours needed for completion. Students may complete the course in as little or as much time as needed. The grade is awarded by the homeschool.
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HS4CC recommendations: Honors Data Analytics, 1.0 credit (2 semesters, 5 hours per week) |
Recognized Industry Credential (IRC): Google is a third-party provider of this certification, which is generally accepted by employers for hiring, retention, and advancement.
College Credit: Each Google Career Certificate has been evaluated for college credit by the American Council on Education (ACE). ACE recommendations are only recommendations. Your college or university will have the final authority over how much credit is awarded.
| Lower-Division Baccalaureate | 3 | Introduction to Data Analytics |
| Lower-Division Baccalaureate | 3 | Introduction to Databases |
| Lower-Division Baccalaureate | 1 | Career Development |
| Lower-Division Baccalaureate | 3 | Introduction to R Programming |
| Lower-Division Baccalaureate | 3 | Data Management with Spreadsheets |
As a courtesy, we have compiled a list of colleges and universities that already accept the Google Career Certificates as college credit towards a degree. This list is for planning purposes and is subject to change. Contact any individual college or university you are considering to find out whether they award college credit for this certificate.
Graduates of this course may wish to proceed to Advanced Data Analytics (Google) to develop greater skills, or Advanced Business Intelligence (Google) to learn how to present the data in a professional setting. Both advanced programs build on this program.