SQL Basics for Data Analysis and Reporting — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

SQL Basics for Data Analysis and Reporting

Master the foundational SQL commands, including joins and aggregate functions, necessary to transform raw data into valuable reports and analytical results.

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About this course

If you need to access, manipulate, or analyze information stored in a database, SQL is the essential language you must master. This foundational course provides the practical skills required to start working with data immediately. By the end of this course, you will move beyond basic data retrieval and be able to construct efficient, multi-step queries for complex reporting, data cleaning, and analytical tasks using standard SQL syntax. What you'll learn: * Understand the structure and components of a relational database and core SQL terminology. * Apply core retrieval commands (SELECT, WHERE, GROUP BY, ORDER BY) to filter and sort data efficiently. * Master complex joins (INNER, LEFT, RIGHT) to combine data from multiple tables seamlessly. * Learn to use aggregate functions and advanced techniques like Common Table Expressions (CTEs) for multi-step analysis. * Practice writing subqueries and using window functions for ranking and sequential calculations. * Configure basic indexes and understand query execution plans to improve performance on large datasets. The material begins with essential terminology and database concepts before moving into hands-on practice with data retrieval, manipulation, and advanced querying techniques like subqueries and performance tuning. This course is designed for absolute beginners: aspiring data analysts, business intelligence professionals, or anyone who needs to extract and understand data from a relational database. No prior coding or SQL experience is required. Start your journey toward becoming a proficient SQL user 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
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  • 💸 14-day refund
    No questions asked
  • Short & focused
    2h 36m 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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PickAClass
Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
SQL Basics for Data Analysis and Reporting
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 Basics for Data Analysis and Reporting
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.

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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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