Data Analyst Foundations: SQL, Python, and Visualization — PickAClass
5.0 (1) ⏱ 3h 📚 30 lessons 🎧 Audio version

Data Analyst Foundations: SQL, Python, and Visualization

Build the essential technical skills to start your career in data by reading, writing, and practicing SQL, Python, and visualization techniques.

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  • 🌐 In English
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About this course

Every day, modern organizations generate massive amounts of data, and they need skilled professionals to make sense of it. This course provides a structured, text-based path to learning the core technical skills required for entry-level data analyst roles. You will develop a strong foundation in database management, programming, and data presentation. By reading clear explanations and working through practical written exercises, you will learn how to turn raw data into actionable business insights. What you will learn: - Understand fundamental data concepts, database architectures, and analytical terminology. - Write efficient SQL queries to filter, aggregate, and join data from multiple tables. - Apply Python programming basics using modern data libraries to clean and manipulate datasets. - Create clear, professional data visualizations that effectively communicate key findings. - Practice solving realistic business scenarios using structured analytical workflows. We begin with essential database and programming concepts before guiding you through progressively advanced SQL queries, Python scripts, and visualization principles. This course is designed for absolute beginners looking to enter the data field, with no prior coding or database experience required. Begin building your technical data analysis foundation 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
    3h 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
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Data Analyst Foundations: SQL, Python, and Visualization
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
P
PickAClass — Name Surname
Data Analyst Foundations: SQL, Python, and Visualization
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)

อุษา นวลใย TH Verified learner
★ 5 · July 18, 2026

ผมอยากเปลี่ยนสายมาทำงานด้านข้อมูลแต่ไม่รู้จะเริ่มตรงไหน คอร์สนี้ตอบโจทย์มากเพราะรวมทั้ง SQL Python และการทำกราฟไว้ในที่เดียว ส่วนที่ชอบที่สุดคือการได้ลองเขียนคำสั่ง SQL ดึงข้อมูลจริงและฝึกซ้ำจนคล่อง ทำให้เข้าใจว่านักวิเคราะห์ข้อมูลทำงานกันยังไง พอมาถึงพาร์ทการนำเสนอข้อมูลด้วยภาพก็ยิ่งเห็นภาพรวมชัดขึ้น เนื้อหาเรียงลำดับดีไม่หนักเกินไปสำหรับคนเริ่มต้น ตอนนี้ผมมั่นใจที่จะสมัครงานสายนี้แล้วครับ

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

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

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

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