Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Current understandings of human history and social theory are based largely on Western experience or on non-Western experience seen through a Western lens. This course offers alternative perspectives derived from Chinese experience over the last three centuries. We present specific case studies of this new scholarship of discovery divided into two stand-alone parts, which means that students can take any Part without prior or subsequent attendance of the other Part.
Part One focuses on comparative inequality and opportunity and addresses two related questions ‘Who rises to the top?’ and ‘Who gets what?’. Please note that Part One was previously named ‘A New History for a New China, 1700-2000: New Data and New Methods, Part 1’.

Understanding China, 1700-2000: A Data Analytic Approach, Part 2 turns to an arguably even more important question ‘Who are we?’ as seen through the framework of comparative population behavior - mortality, marriage, and reproduction – and their interaction with economic conditions and human values. We do so because mortality and reproduction are fundamental and universal, because they differ historically just as radically between China and the West as patterns of inequality and opportunity, and because these differences demonstrate the mutability of human behavior and values.

Syllabus

WEEK 1
Orientation and Module 1: Social Structure and Education in Late Imperial China
Before you start with the content for Module 1, please watch the Course Overview, review the Assignments and Grading page, and introduce yourself to other learners who will be studying this course with you.

WEEK 2
Module 2: Education and Social Mobility in Contemporary China

WEEK 3
Module 3: Social Mobility and Wealth Distribution in Late Imperial and Contemporary China

WEEK 4
Module 4: Wealth Distribution and Regime Change in Twentieth Century China

WEEK 5
Final Exam and Farewell
Now is time to test your understanding on the entire course. Take the final exam and complete the post-course survey. Your valuable feedback will certainly help us improve future iterations of the course.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

New Learning: Principles and Patterns of Pedagogy (Coursera) Coursera
University of Illinois at Urbana-Champaign

New Learning: Principles and Patterns of Pedagogy (Coursera)

Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. What changes are afoot today in workplaces, civic life and everyday community life? What are their implications for education? What are the possible impacts of contemporary social transformations on teaching and learning - including in the areas of technology, media, globalization, diversity, changing forms of work in the “knowledge society”, and, in these contexts, changing learner needs and sensibilities? This course explores three pedagogical paradigms: “didactic”, “authentic” and “transformative” learning.

Aug 3rd 2026
4 Weeks
Data Analytics for Lean Six Sigma (Coursera) Coursera
University of Amsterdam

Data Analytics for Lean Six Sigma (Coursera)

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.

Aug 3rd 2026
5-12 Weeks
Potenciando mi aprendizaje en el primer año de Universidad (Coursera) Coursera
Universidad de Chile

Potenciando mi aprendizaje en el primer año de Universidad (Coursera)

El propósito del curso es acompañar a los estudiantes de primer año a potenciar sus aprendizajes, con la finalidad de fomentar una buena experiencia en la universidad. Lo anterior se realiza a través de un auto- diagnóstico y de la familiarización con distintas estrategias de estudio, de gestión del tiempo y del abordaje de evaluaciones.

Aug 3rd 2026
5-12 Weeks
Introduction to Korean Philosophy and Culture (Coursera) Coursera
Sungkyunkwan University - SKKU

Introduction to Korean Philosophy and Culture (Coursera)

This course will give you the cultural and historical background to begin your journey into Korean philosophy, and there is no prerequisite knowledge on philosophy required. Anybody who either has an interest in Korean culture, maybe through K-Dramas or K-pop, or an interest in philosophy from a cross-cultural perspective, are all welcome.

Aug 3rd 2026
4 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Aug 3rd 2026
4 Weeks
Designing Learning Innovation (Coursera) Coursera
Politecnico di Milano

Designing Learning Innovation (Coursera)

Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation. A set of logical and methodological tools to innovate teaching, finding the most suitable approaches with one’s own vision of the teaching-learning experience.

Aug 3rd 2026
5-12 Weeks
Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Aug 3rd 2026
4 Weeks
Primate Conservation (Coursera) Coursera
University of Colorado Boulder

Primate Conservation (Coursera)

We are presently facing a potential extinction crisis for the order Primates (and many other life forms). In this course we will learn about threats to primate conservation globally. We will be using the, “Primates in Peril: The World’s 25 Most Endangered Primates 2018-2020” by Schwitzer et al (2019) as a basis for the discussion of global primate populations.

Aug 3rd 2026
5-12 Weeks
Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera)

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Aug 3rd 2026
4 Weeks
Aprendiendo a Aprender (Coursera) Coursera
IE Business School

Aprendiendo a Aprender (Coursera)

Con el propósito de desarrollar habilidades y herramientas mentales que favorecen el aprendizaje, Aprendiendo a Aprender busca ayudar a los participantes a dominar temas complejos y difíciles; además de motivarlos a continuar aprendiendo a lo largo de la vida. Aprendiendo a Aprender se encuentra divido en cuatro grandes módulos: en el primero, se explica en qué consiste realmente aprender, qué pasa en el cerebro cuando aprendemos, el rol de la memoria, la práctica regular, y el hecho de que, durmiendo, también se puede aprender.

Aug 3rd 2026
4 Weeks
Iniciación a los Jeroglíficos Egipcios (Coursera) Coursera
Universitat Autònoma de Barcelona

Iniciación a los Jeroglíficos Egipcios (Coursera)

¿Te apasiona la historia y la cultura del antiguo Egipto? ¿Sientes fascinación por las lenguas y los sistemas de escritura de las civilizaciones de la Antigüedad? ¿Te atrae la idea de adentrarte en el secreto de los jeroglíficos egipcios y comprender las claves de su lectura e interpretación? ¡Si es así, este es tu curso!

Aug 3rd 2026
5-12 Weeks
Get Interactive: Practical Teaching with Technology (Coursera) Coursera
University of London,Bloomsbury Learning Environment

Get Interactive: Practical Teaching with Technology (Coursera)

This course is designed to help you create dynamic, interactive online courses through the use of multimedia tools, student collaboration opportunities, and formative assessment and feedback. Each week we will focus on a particular topic: Using multimedia for teaching and learning; Encouraging student collaboration; Formative assessment and feedback.

Aug 9th 2026
3 Weeks