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Google BigQuery & PostgreSQL : Big Query for Data Analysis

Become BigQuery expert by mastering Google BigQuery for data analysis. Cover all SQL qureies in PostgeSQL & Big Query

  1. Topics
  2. IT & Software
  3. Google BigQuery

Google BigQuery & PostgreSQL : Big Query for Data Analysis

InstructorStart-Tech Academy
Duration11h 39m
Students165.5K
Rating4.6 (1,560)
Sponsored
Price
$17.99
Coupon
None
No active coupon currently available
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Coupon history

Comidoc has tracked 2 coupons for this course since 2025, last checked 11 months, 10 days ago.

Coupon codeDiscountAddedStatusLifetime
WINTERCOMING100% offNov 3, 202503:54 PM UTCExpired~3 daysRan full term
SMARTLEARNFREE100% offSep 30, 202508:21 PM UTCExpired~4 daysRan full term

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Comidoc Analysis

SQL Syntax for PostgreSQL and Google BigQuery

Strengths

Dual-Platform Syntax Coverage

Instruction covers specific SQL command implementations within both PostgreSQL and the BigQuery environment.

Integrated Practical Exercises

The structure utilizes frequent quick coding exercises and dedicated modules to reinforce command mastery.

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

Preview 1 of 4

This course content overview outlines the initial technical setup steps, specifically covering how to set up a Google BigQuery (GBQ) account and configure PG Admin.

Preview 2 of 4

This slide introduces the course instructors, Abhishek Bansal and Pukhraj Parikh, highlighting their degrees from IIT Roorkee and professional experience in analytics and machine learning.

Preview 3 of 4

This slide outlines key course features including no prerequisites required, access to data and presentations, and participation in an active discussion forum.

Preview 4 of 4

This slide defines the ideal student profile by contrasting a learner studying on a laptop with a professional business analyst presenting data insights.

Limitations

Missing Advanced Database Concepts

The curriculum does not address advanced topics such as partitioning, clustering, system tables, or transactions.

Interface Discrepancies

A review from before the displayed update suggests the taught interface may not align with current platform versions, complicating command discovery.

Best suited to

  • Working professionals starting a data journey
  • Learners seeking simultaneous exposure to PostgreSQL and BigQuery

Less suited to

  • Users requiring advanced database optimization or system administration knowledge
  • Those looking for deep coverage of JSON column manipulation

Comidoc Score

6.7/10

Worth considering
Beginner-friendly

Comidoc verdict

The learning path begins with tool setup for PostgreSQL and BigQuery before moving through fundamental SQL statements, joins, and subqueries. It incorporates role-play elements to simulate interview settings and includes data visualization via Google Data Studio.

Instruction provides essential syntax and practical application through frequent exercises. However, the curriculum omits critical high-level database management features like partitioning or transactions.

This profile is suitable for beginners or professionals transitioning into data analysis who need a functional understanding of both PostgreSQL and BigQuery environments.

Score breakdown

Curriculum depth
7.3

The curriculum covers essential syntax and comparative implementation, though it lacks depth in advanced management topics like partitioning or transactions.

Applied learning
8.8

Learning is reinforced through frequent coding exercises and quizzes integrated throughout the modules.

Clarity & experience
5.0

One signal indicates potential difficulty navigating the interface due to version mismatches; this signal predates the displayed course update, so the update may have addressed it, but the update label does not prove that it was corrected.

Currency & reliability
5.0

A review predating the update suggests potential mismatches with current platform interfaces; the recent update label does not confirm a correction.

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

Audience fit
6.5

The curriculum aligns with the goal of teaching SQL fundamentals to beginners across two platforms.

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