Modern Chinese History through Data Analysis — PickAClass
★ 4.0 (1) ⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Modern Chinese History through Data Analysis

Discover how quantitative data and historical archives reshape our understanding of China's social structure, population, and economy from 1700 to 2000.

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About this course

How did ordinary people live, marry, and work in China between 1700 and 2000? Traditional history often focuses on emperors and elites, but modern digital archives and data analysis allow us to uncover the lives of millions of citizens. This course introduces you to the fascinating intersection of history and data science. By reading historical datasets and analyzing demographic trends, you will gain a fresh, evidence-based perspective on China's social mobility, family structures, and economic shifts over three centuries. What you'll learn: - Understand the fundamental concepts of digital humanities and quantitative history - Analyze historical Chinese datasets to track population growth, marriage patterns, and social mobility - Compare traditional historical narratives with modern data-driven findings - Interpret demographic and economic records from the Qing dynasty to the late twentieth century - Apply basic data literacy skills to evaluate historical sources and archival records You will start with core historical concepts and foundational definitions of quantitative history before diving into case studies on family genealogy, government examinations, and social structures. The written material guides you step-by-step through interpreting tables, historical records, and data patterns. This course is designed for beginners interested in Chinese history, data analysis, or digital humanities, with no prior background in statistics or Chinese language required. Begin your journey into data-driven history and discover a new way to understand China's past.

Course contents

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • ⚡ Short & focused
    2h 54m 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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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Modern Chinese History through 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
Modern Chinese History through 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)

Carla Jansen NL Verified learner
★ 4 · July 16, 2026

Found this course to be quite beneficial. The way topics were introduced was effective. Just a minor point, some examples felt a bit dated.

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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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