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SQL Data Analysis | Learn SQL by Doing

Skyrocket your SQL skills, and become ready for your SQL interview by working on 12 real-world projects

  1. Topics
  2. Development
  3. SQL Programming

SQL Data Analysis | Learn SQL by Doing

InstructorRam Kedem
Duration9h 3m
Students25.1K
Rating4.5 (693)
Sponsored
Price
$14.99
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Open on UdemyCurrent Udemy price
Comidoc Analysis

High-frequency practical exercises for SQL fundamentals

Strengths

Integrated practice cadence

The learning design pairs video lectures with immediate, corresponding practice items to reinforce specific clauses and functions.

Diverse dataset exposure

Learners apply queries to various datasets, including Netflix, Spotify, and AppStore data, to build practical intuition.

Limitations

Limited technical depth

The curriculum focuses on core syntax and joins but lacks coverage of advanced topics like Window functions or CTEs.

Brief instructional explanations

One signal suggests that the brevity of explanations may be difficult for some absolute beginners to navigate.

Best suited to

  • Beginners seeking high-frequency practice
  • Learners wanting multi-platform database exposure

Less suited to

  • Students requiring advanced SQL topics like CTEs
  • Those looking for long-form theoretical explanations

Comidoc Score

7.4/10

Recommended
Beginner-friendly

Comidoc verdict

The learning path begins with multi-platform environment setup, moving through fundamental SELECT statements, filtering, and aggregation into more complex joins and subqueries. The core strength lies in the high density of practical tasks that follow each lecture, allowing for immediate application of new syntax to diverse datasets.

However, the curriculum remains focused on foundational skills. While it builds strong basic intuition, it does not extend into advanced analytical territory such as Window functions or CTEs. This makes the course a highly effective starter program rather than an exhaustive technical resource.

This trade-off is ideal for beginners who prefer learning by doing through frequent, short exercises and want to gain familiarity with multiple database environments.

Score breakdown

Curriculum depth
8.8

The curriculum covers essential topics from basic SELECT statements to joins and subqueries across multiple datasets, though it lacks advanced functions.

Applied learning
9.5

The course is heavily driven by integrated practice items and dataset-specific analysis tasks following the lectures.

Clarity & experience
5.8

Signals are mixed; while many find the pace and structure easy to follow, one report indicates that short explanations may challenge some beginners.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns well with the beginner target through its progression from basic statements to joins across multiple platforms.

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