GCP BigQuery Analytics Course in Mohali: Certification & Live Projects

BigQuery is Google Cloud's serverless data warehouse, used to analyse large datasets with SQL in seconds. The GCP BigQuery analytics course in Mohali at techcadd combines a course certificate with project-based learning. This page explains how the certificate is earned, what the projects involve and which external Google Cloud certifications the syllabus relates to.

Course Overview

Google Cloud and BigQuery basics

Projects, IAM roles, the BigQuery console, datasets, tables, and the separation of storage and compute.

SQL for analytics

Standard SQL, joins, aggregations, window functions, CTEs, arrays and structs, and working with nested and repeated fields.

Loading and transforming data

Loading from Cloud Storage and files, scheduled queries, views and materialised views, and an introduction to Dataform or dbt for transformations.

Performance and cost

Partitioning, clustering, query plans, slots and on-demand pricing concepts, and controlling cost with previews and limits.

Visualisation and BI

Building dashboards in Looker Studio and connecting BigQuery to tools such as Power BI or Sheets.

BigQuery ML and governance

Creating simple models with BigQuery ML, plus access control, authorised views and data sharing basics.

Live Projects

Projects use public datasets available in BigQuery or realistic business datasets prepared for training, so learners work at a scale that is hard to reproduce on a laptop.

• E-commerce analytics: sales trends, cohort retention and product performance using window functions.

• Web analytics: sessions, funnels and traffic sources from event-style data.

• Operations dashboard: a Looker Studio report fed by scheduled queries.

• Cost-optimised warehouse: redesigning tables with partitioning and clustering and comparing bytes processed.

• Prediction with BigQuery ML: a churn or demand model built and evaluated in SQL.

Ask the team whether any projects in your batch involve client-style briefs and how they are scoped.

How the Course Certificate Is Earned

• Assignments: SQL exercises completed after each module.

• Project submissions: each project delivered with queries, a short write-up and, where relevant, a dashboard.

• Final assessment: a capstone analysis presented to the trainer with findings and recommendations.

Confirm the exact certificate criteria and format with the team at enrolment.

Related Google Cloud Certifications

The syllabus overlaps with topics in external exams such as Google Cloud's Professional Data Engineer and the Cloud Digital Leader. These exams are booked and taken separately with Google Cloud, have their own fees and rules, and techcadd does not claim affiliation with Google.

Why Projects Matter to Employers

Analytics interviews often include SQL tests and questions about past analyses. Documented projects with queries, dashboards and clear conclusions give you concrete examples to discuss. Outcomes depend on your effort, skills and market conditions.

Who Should Join

• Data analysts moving from spreadsheets or on-premises databases to cloud warehousing

• SQL learners who want to work with large datasets

• BI developers connecting dashboards to cloud data

• Aspiring data engineers starting with Google Cloud

Basic SQL knowledge helps; ask the team whether a SQL foundation module is advised.

Fees, Duration and Cloud Costs

Fees, duration and batch timings depend on the batch and mode of learning; contact the team for current details. BigQuery offers a free usage tier and a sandbox, and trainers show how to keep lab costs under control.

Frequently Asked Questions

Will I get a certificate after the BigQuery course?

Learners who complete assignments, projects and the final assessment can receive a techcadd course certificate. Confirm the criteria with the team.

Is the techcadd certificate a Google Cloud certification?

No. Google Cloud certifications are separate exams taken with Google Cloud.

What are the live projects based on?

Projects use BigQuery public datasets or realistic training datasets. Ask the team how projects are scoped for your batch.

Do I need a Google Cloud account?

Yes, labs use a Google Cloud project, and the BigQuery sandbox or free tier can cover much of the practice.

Do I need to know SQL?

Basic SQL helps. Analytical SQL is taught in depth during the course.

Which visualisation tools are covered?

Looker Studio is the main tool, with connections to tools such as Power BI or Sheets introduced.

What are the fees and duration?

Fees, duration and timings depend on the batch and mode of learning. Contact the team for current details.

Enquire About the GCP BigQuery Analytics Course

Want details of the certificate and live projects? Contact techcadd Mohali to ask about the next batch.