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SQL For Data Science With Google Big Query

Learn SQL for Data Visualization, Data Analysis, and Data Science Using Google Cloud Platform

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SQL For Data Science With Google Big Query

InstructorChris Levy

Duration6h 46m

Students11.1K

Rating4.6 (2,457)

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Comidoc Analysis

Cloud-Based SQL and Dashboarding via BigQuery

Strengths

Integrated Visualization Workflow

Lessons connect SQL aggregation functions directly to visualization tasks using Google Data Studio for practical dashboard construction.

Structured SQL Fundamentals

The curriculum covers essential mathematical, string, and date/timestamp operations alongside article-based quizzes to verify understanding.

Limitations

Interface and Tool Obsolescence

Learner signals suggest the BigQuery interface has changed and that Data Studio has been replaced by Looker Studio, making current visual navigation difficult.

Best suited to

SQL beginners
Aspiring data analysts using Google Cloud Platform
Learners interested in dashboard construction

Less suited to

Advanced data scientists seeking window functions
Users requiring up-to-date cloud interface walkthroughs

Comidoc Score

5.8/10

Worth considering

Beginner-friendly

Comidoc verdict

Setting up a Google Cloud Platform account provides access to BigQuery public datasets, allowing for a progression from SQL syntax into dashboard creation.

The curriculum connects data aggregation to visual outputs through specific projects like the New York Citi-Bike dashboard. However, significant technical drift exists between the course content and current platform states. Signals indicate that the Google Cloud interface has evolved and that Data Studio has been succeeded by Looker Studio, which may complicate following the provided walkthroughs.

This training is best suited for absolute beginners who want a guided introduction to SQL within the Google ecosystem and are comfortable navigating updated interfaces.

Score breakdown

Curriculum depth: 7.3
Applied learning: 8.8
Clarity & experience: 5.8
Currency & reliability: 3.5
Audience fit: 5.8

Limited Analytical Depth

The scope is restricted to basic functions, lacking advanced topics such as statistical aggregate functions or window functions.

The course aligns well with beginners but faces concerns regarding platform costs and suitability for advanced users.