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China 1700-2000: Data Analytics Fundamentals I
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China 1700-2000: Data Analytics Fundamentals I

Explore Chinese history through big data analysis, focusing on social mobility and wealth distribution from 1700 to 2000.

Course Cost

₹ 2,699

Beginner

Skill Level

7 Hours

Self-paced lessons

This course offers a unique perspective on Chinese history from 1700 to 2000 using big data analytics. It challenges Western-centric views by examining newly opened Chinese archival holdings. The curriculum focuses on two key questions: "Who rises to the top?" and "Who gets what?" Students will explore social structure, education, and wealth distribution in both imperial and contemporary China. Through case studies and comparative analysis, learners will gain insights into China's social mobility, inequality, and regime changes. The course combines historical context with modern data analysis techniques to provide a comprehensive understanding of China's socio-economic development over three centuries.

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4.6

10,467 Enrolled

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English

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Provider Logo
olive-leaves-logo

4.6

10,467 Enrolled

olive-leaves-logo

English

What you'll learn

  • Analyze social mobility patterns in late imperial and contemporary China

  • Compare educational inequality between China and the West

  • Examine wealth distribution trends in China from 1700 to 2000

  • Understand the impact of regime changes on wealth distribution in 20th century China

  • Apply data analysis techniques to historical Chinese archival holdings

  • Gain insights into China's unique path of social and economic development

  • Develop a comparative perspective on inequality and opportunity in China and the West

  • Critically evaluate Western-centric views of Chinese history and social science

Skills you'll gain

chinese history
data analysis
social mobility
wealth distribution
education systems
inequality
regime change
comparative analysis
archival research
economic development

This course includes:

3.26 Hours PreRecorded video

6 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

This course provides a data-driven approach to understanding China's history from 1700 to 2000. It focuses on social structure, education, and wealth distribution in both imperial and contemporary China. Students will examine social mobility through the lens of the examination system in late imperial China and compare it to educational opportunities in modern China. The curriculum covers wealth distribution patterns, exploring how they've changed over time and in comparison to Western countries. Learners will also investigate the relationship between wealth distribution and regime change in 20th century China. Through a combination of historical analysis and modern data analytics, the course offers unique insights into China's socio-economic development and challenges traditional Western-centric perspectives on Chinese history.

Orientation and Module 1: Social Structure and Education in Late Imperial China

Module 1 · 1 Hours to complete

Education and Social Mobility in Contemporary China

Module 2 · 1 Hours to complete

Social Mobility and Wealth Distribution in Late Imperial and Contemporary China

Module 3 · 1 Hours to complete

Wealth Distribution and Regime Change in Twentieth Century China

Module 4 · 1 Hours to complete

Final Exam and Farewell

Module 5 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

China 1700-2000: Data Analytics Fundamentals I

Beginner

Skill Level

7 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.