SQL Fundamentals for Data Analysis — PickAClass
5.0 (1) ⏱ 2h 42m 📚 27 lessons 🎧 Audio version

SQL Fundamentals for Data Analysis

Master the essentials of querying and manipulating relational databases to transform raw data into clear business insights.

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About this course

In a world driven by data, the ability to communicate directly with databases is a foundational skill for any professional. This course provides a clear path to understanding how information is stored and how to retrieve exactly what you need without relying on manual spreadsheets. You will progress from learning basic syntax to writing queries that aggregate, filter, and join data from multiple sources. By the end of this text-based program, you will be able to perform meaningful data analysis and prepare datasets for reporting or further processing using modern industry standards. What you'll learn: - Understand relational database structures and core SQL terminology - Write queries to retrieve, filter, and sort specific information effectively - Aggregate data using mathematical functions for high-level business reporting - Join multiple tables to analyze relationships across different datasets - Use Common Table Expressions (CTEs) to organize complex logic into readable steps - Apply conditional logic and subqueries to solve practical data problems The course begins with foundational definitions and database theory before moving into practical query writing and data manipulation techniques through written explanations and code examples. This course is designed for absolute beginners with no prior technical background or database experience required. Start your journey into data analysis by learning the language of databases today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • Short & focused
    2h 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
SQL Fundamentals for Data Analysis
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
SQL Fundamentals for Data Analysis
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (1)

Victoria Prinsloo ZA Verified learner
★ 5 · May 28, 2026

This course is a gem. I learned so much, and the breakdown of topics was incredibly helpful. Loved it!

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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