S. Chand's Social Sciences for Class X is based on the latest syllabus. It is thoroughly revised by incorporating additions as per the Modified Structure of Examination Scheme. The entire subject matter is divided into two parts — Part I and Part II individually.

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

In this bold and original study, Jeff Kochan constructively combines the sociology of scientific knowledge (SSK) with Martin Heidegger’s early existential conception of science. Kochan shows convincingly that these apparently quite different approaches to science are, in fact, largely compatible, even mutually reinforcing. By combining Heidegger with SSK, Kochan argues, we can explicate, elaborate, and empirically ground Heidegger’s philosophy of science in a way that makes it more accessible and useful for social scientists and historians of science. Likewise, incorporating Heideggerian phenomenology into SSK renders SKK a more robust and attractive methodology for use by scholars in the interdisciplinary field of Science and Technology Studies (STS). Kochan’s ground-breaking reinterpretation of Heidegger also enables STS scholars to sustain a principled analytical focus on scientific subjectivity, without running afoul of the orthodox subject-object distinction they often reject. Science as Social Existence is the first book of its kind, unfurling its argument through a range of topics relevant to contemporary STS research. These include the epistemology and metaphysics of scientific practice, as well as the methods of explanation appropriate to social scientific and historical studies of science. Science as Social Existence puts concentrated emphasis on the compatibility of Heidegger’s existential conception of science with the historical sociology of scientific knowledge, pursuing this combination at both macro- and micro-historical levels. Beautifully written and accessible, Science as Social Existence puts new and powerful tools into the hands of sociologists and historians of science, cultural theorists of science, Heidegger scholars, and pluralist philosophers of science.

From imaginary numbers to the fourth dimension and beyond, mathematics has always been about imagining things that seem impossible at first glance. In x+y, Eugenia Cheng draws on the insights of higher-dimensional mathematics to reveal a transformative new way of talking about the patriarchy, mansplaining and sexism: a way that empowers all of us to make the world a better place. Using precise mathematical reasoning to uncover everything from the sexist assumptions that make society a harder place for women to live to the limitations of science and statistics in helping us understand the link between gender and society, Cheng's analysis replaces confusion with clarity, brings original thinking to well worn arguments - and provides a radical, illuminating and liberating new way of thinking about the world and women's place in it.

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Unit-I: India and the Contemporary World-2 (History): 1. The rise of Nationalism in Europe 2. Nationalism in India 3. The making of a Global World 4. The Age of Industrialization 5. Print, Culture and the Modern World Unit-II: Contemporary India-2 (Geography): 1. Resources and Development 2. Forest and Wildlife Resources 3. Water Resources 4. Agriculture 5. Minerals and Energy Resources 6. Manufacturing Industries 7. Lifelines of National Economy Unit-III: Democratic Politics-2 (Civics): 1. Power Shari 2. Federalism 3. Democracy and Diversity 4. Caste Religion and Gender 5. Popular Struggles and Movements 6. Political Parties 7. Outcomes of Democracy 8. Challenges to Democracy Unit-IV: Understanding Economic Development (Economics): 1. Development 2. Sector of the Indian Economy 3. Money and Credit 4. Globalisation and the Indian Economy 5. Consumer Right

the first comprehensive anthology in the philosophy of social science to appear since the late 1960s

How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.

Awareness Social Sciences for Classes IX and X strictly adheres to the latest CBSE syllabus. It is divided into four sections—India and the Contemporary World, Contemporary India, Democratic Politics and Economics. The books cover topics mainly from History, Political Science, Geography, Economics and some aspects of Commerce and Sociology.