Gemini for Data Scientists and Analysts (Google Skills course with badge)
Go to the official page ↗Direct official link
What you'll learn
You use Gemini in BigQuery on hands on labs to analyze customer data, predict product sales and find and grow customer segments, speeding up your analysis and machine learning steps.
- Analyze customer data with Gemini
- Predict product sales
- Identify and categorize customers in BigQuery
- Gemini in data analysis and ML workflows
Source: the provider's official page ↗
Is this right for you?
- Level
- Intermediate People with some experience who want to go further or prove what they know.
- What you get
- A verified digital badge you can share on LinkedIn in one click.
- How you learn
- Online, self paced, about 2 hrs.
- How to use it
- Share the badge to LinkedIn in one click, add its verification link to your résumé, and send it to recruiters as proof you can do this today.
- Why it's worth it
- Fast, practical proof that you are ahead on AI. It shows initiative, gives you skills you can use the same day, and hands you something concrete to talk about with every hiring manager.
What you will payDepends on who you areFree for some learners, such as through an employer, school or state program. Check eligibility before you start.
- Time
- 2 hours.
- Before you start
- Free Google Skills account. Some BigQuery familiarity helps.
- How you are tested
- Online, self paced videos and hands on Google Cloud labs.
- Renewal
- None stated.
- Full cost details
- Not published on the course page; Google Skills hands on labs can require credits or a subscription.
- Where it applies
- Online and open globally.
Checked at the source Oct 23, 2026
Sources and what we verified
Google Skills course page: 2 hours, introductory, description, badge ↗What we verified: Page confirms length, level, description and a badge but no price, credits or module list.
Fees and eligibility can change. Confirm current terms with the issuer before you pay.
Also listed for: AI for Data and Business Intelligence Analysts