Master Google BigQuery Analytics
Analyse massive datasets with Google BigQuery using standard SQL, partitioning and BI integrations, and learn to control query cost on the Google Cloud platform.
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Program Overview
Google BigQuery Analytics is an intermediate-level live online course running 6 weeks (42 hrs), priced at $500 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Analyse massive datasets with Google BigQuery using standard SQL, partitioning and BI integrations, and learn to control query cost on the Google Cloud platform. What you will build: a partitioned analytics dataset, a Looker Studio dashboard and a BigQuery ML prediction model. Tools and technologies: Google BigQuery, Standard SQL, Looker Studio, Google Cloud Storage, BigQuery ML. Format: 42 hours of live, instructor-led online training over about 6 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Data Analyst, Analytics Engineer, BI Developer, Cloud Data Analyst. Resume review and interview guidance are available to all learners.
Course Highlights
- 42 hours of live instructor-led training
- Hands-on projects and real-world labs
- Tools: Google BigQuery, Standard SQL, Looker…
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- Basic SQL
- Laptop or desktop with stable internet
Who is this for ?
- Analysts working with large datasets
- Marketing and product analysts using GA4 data
- Google Cloud learners focused on data
Curriculum
Course Curriculum
5 modules · 19 topics0 hours total
- 1Projects, datasets and tables
- 2the console
- 3storage vs compute pricing
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Google BigQuery Analytics program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
Data analytics is one of the most accessible entry points into a tech career because the core tools — SQL, spreadsheets, and BI platforms like Power BI or Tableau — are learnable in months and do not require heavy programming. Learning online in a live cohort keeps you accountable while you build a portfolio of dashboards and analyses that prove your ability to turn data into decisions.
Who this is for
- ✓Business and operations professionals
- ✓Non-coders wanting a data career
- ✓Career switchers who want a faster on-ramp
Career outcomes
- Data Analyst
- Business Intelligence Analyst
- Analytics Engineer
- Reporting Analyst
Frequently asked questions
How much does the Google BigQuery Analytics course cost?
The Google BigQuery Analytics course costs $500 (USD) for 6 Weeks (42 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in Google BigQuery Analytics?
You will build a partitioned analytics dataset, a Looker Studio dashboard and a BigQuery ML prediction model.
Which tools and technologies does Google BigQuery Analytics cover?
Google BigQuery Analytics covers Google BigQuery, Standard SQL, Looker Studio, Google Cloud Storage, BigQuery ML.
Is the Google BigQuery Analytics course online or in person?
The Google BigQuery Analytics program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the Google BigQuery Analytics course?
The Google BigQuery Analytics program runs for 6 Weeks (42 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Google BigQuery Analytics course — is it suitable for beginners?
The Google BigQuery Analytics program is pitched at a intermediate level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Google BigQuery Analytics?
Yes — you receive a verifiable certificate of completion for the Google BigQuery Analytics program, which you can share with employers and add to your LinkedIn profile.
Does the Google BigQuery Analytics course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join Google BigQuery Analytics?
Recommended prerequisites: Basic SQL; Laptop or desktop with stable internet.
Do I need to code to work in data analytics?
Not heavily. The essentials are SQL, spreadsheets, and a BI tool. Light Python helps for larger datasets but is not required to get started or hired.
How is data analytics different from data science?
Analytics focuses on interpreting existing data to answer business questions, while data science builds predictive models. Analytics is a common, lower-barrier first step toward data science.
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