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Showing 50 courses from O.P. Jindal Global University
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Welcome to the Microeconomics course! This course will help you develop an in-depth understanding of the microeconomics principles and market mechanisms. It provides the tools and framework you need to understand the economy at large and decision-making at the individual unit level. In a world with infinite calls on finite resources, the choice is the central problem of public policy. The tools and techniques of economics are critical in addressing it. A microeconomic model can help you analyze and evaluate any problem associated with a choice, be it climate change, inequality, or which color jeans to buy. A choice, however, only makes sense if we are aware of the available options. The (dismal) science of economics helps there too, by hard coding limitations into these optimization efforts. This course helps you dive deep into the economic elements, even if you have little or no previous exposure to formal economics. This course enables you to use the basic framework of incentives, trade-offs, prices, markets, and underlying modern microeconomics to understand the economy at large. The economic theories from the course will help you contextualize the current pressing concerns of public policy, which will further aid in the development of a more precise formulation of policy-relevant problems and potential solutions.
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The Cognitive Psychology course helps students develop an understanding of underlying cognitions processes that govern human behavior. This course examines the cognitive processes that allow us to perceive and attend to the world around us, store information for later retrieval, interact with others, and make decisions before performing actions. Understanding processes involving human mental functions would naturally include discussion topics such as attention, sensation and perception, memory, language, reasoning, and decision making. Students will learn to apply theories and findings to real-world situations and their own cognitive processes.
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Welcome to the Leadership Essentials course! By the end of this course, you will develop a good understanding of the leadership phenomenon. The course develops the concept of leadership as a process involving the interaction among leaders, followers, and situations. It focuses on the nature of the leadership process itself as well as how a person becomes a better leader. The course delves into a deeper understanding of the three factors: attributes of the leader, the followers, and the situation. It also addresses the essential leadership competencies appropriate to each of these broad areas. The course highlights the concept of follower motivation, satisfaction, engagement, and performance. The course also uncovers the dark sides of leadership and highlights the causes of managerial incompetence.
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Welcome to the International Organizations and Policy Regimes course! By the end of this course, you will gain a conceptual, analytical, and empirical understanding of the role of International Organizations and Policy Regimes in influencing economic growth and the overall developmental agenda at the national and international levels. The world is witnessing global challenges that include poverty, conflict, pandemic, migration, hunger, climate change, and many other issues. As a prominent part of this course, you will learn about the significance and role of international organizations and their policy implications on these issues. You will also learn about the historical context, contemporary debates, theories, methods, and processes related to the functioning of international organizations, policies, and their global ramifications. In addition, you will examine the emergence of international actors, including non-state international organizations, that play a role in addressing global issues. The course offers a comprehensive introduction to the theory and practice of international organizations, particularly concerning the role of formal international organizations and their transition in policy regimes over a period.
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Welcome to the Economics of Reforms and Regulation course! By the end of this course, you will understand the economics of reforms and regulation, with a focus on contemporary issues and debates. You will be introduced to the rationale for an economic role of the government viz-a-viz imperfections in the real markets and inform them of some of the dimensions of the debate on state-market dichotomy. You will learn to recognize good regulatory practices by carefully considering regulatory structures across the globe. Instruments of regulation, both economic and social, are investigated using examples and case studies from various sectors. In particular, the course examines reforms in the public procurement and financial sector, and regulatory frameworks in the energy sector and will inform you of the need to revisit antitrust laws in the new-economy industries. You will also be able to peek into regulatory designs that were ground-breaking in their use of behavioral economics, new auction formats, and calls for similar creativity in formulating regulations as the world becomes radically uncertain. Lastly, you will be able to re-examine the role of the state taking cognizance of non-traditional views, specifically those from the field of New Institutional Economics, the idea of a Developmental State, and Mariana Mazzucato’s idea of an entrepreneurial state.
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Welcome to the Essence of Leadership course! By the end of this course, you will have a thorough understanding of the foundations for leaders, present or future. You will learn about the basic principles and their applications in different contexts. You will gain exposure to different leadership styles and practices of various leaders, past and present. The course orients you to the conceptual and theoretical considerations on the subject with its practical dimension with examples drawn from different domains of life from the recent developments. You will analyze how leadership is intimately linked to the process of obtaining solutions to potential social problems which is not achievable through individual action. You will examine global leadership traits, local-level leadership, and leadership portrayed in popular films that exhibit the different leadership perspectives and their central role in restoring order to otherwise chaotic situations. This course provides a broad base and conduit to learners wishing to pursue a master’s degree program in Public Policy or related degrees in Business Administration or International Affairs. This course is designed for learners with some work experience in public or private organizations. The knowledge you gain from this course will help you advance to leadership positions in your careers or move to jobs that require leadership insights which are necessary for most intermediate and advanced job positions. To succeed in this course, you should have prior experience working in teams, and have a basic understanding of management or leadership. Above all, be interested in these topics.
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Data is everywhere. From historical documents to literature and poems, diaries to political speeches, government documents, emails, text messages, social media, images, maps, cell phones, wearable sensors, parking meters, credit card transactions, Zoom, surveillance cameras. Combined with rapidly expanding computational power and increasingly sophisticated algorithms, we have an explosion of digital data around us. Privacy, ethics, surveillance, bias, discrimination are some of the obvious policy issues emanating from these data sources. But there is also incredible potential for better understanding the social world, and the potential to use data for good.In this course we will explore how data and digital material can be leveraged to have a better understanding of social issues. We will devote a substantial component of the course to explore the technical skills necessary to access and analyze data (aka programming in Python!), and best practices re: research design, and the practical knowledge we and others can produce using digital data and methods. By the end of the course you should be able to: 1. Know enough Python basics to qualify as, at a minimum, a novice programmer 2. List different types of digital data (e.g., delimited separated files, raw text, json), be able towrite Python code to input and process each type, and explain how and why you might use each data type in research 3. Write Python code to collect and structure digitized data, including from APIs, process the data, and produce visualizations and/or output to explore or analyze the data 4. Explain what the output from computational methods means, and derive a few insights about the social world from the output and visualizations 5. Feel comfortable learning new techniques and new Python libraries on your own
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Welcome to the Supervised Learning and Its Applications in Marketing course! Supervised learning is the process of making an algorithm to learn to map an input to a particular output. Supervised learning algorithms can help make predictions for new unseen data. In this course, you will use the Python programming language, which is an effective tool for machine learning applications. You will be introduced to the supervised learning techniques: regression and classification. The course will focus on the applications of these techniques in the domain of marketing. With the growing amount of data and applications of machine learning in marketing, we can easily find examples of the usage of machine learning in marketing efforts. Companies are starting to use machine learning to better understand customer behaviors and identify different customer segments based on their activity patterns. Many organizations also use machine learning to predict future customer behaviors, such as what items they are likely to purchase, which websites they are likely to visit, and who are likely to churn. With endless use cases of machine learning for marketing, companies of all sizes can benefit from using machine learning for their marketing efforts. To succeed in this course, you should have a basic understanding of Python. You will also need certain software requirements, including an Anaconda navigator.
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This course provides a comprehensive introduction to Artificial Intelligence (AI), a transformative force shaping industries and societies worldwide. AI now plays a critical role in diverse domains—from predicting consumer behavior to enabling intelligent automation. The course offers a broad understanding of core AI concepts, emphasizing the strategic overview of its applications rather than deep technical implementation. Learners will explore intelligent agents, uninformed and informed search strategies, logic-based reasoning, game-playing techniques, and knowledge representation. The curriculum also includes natural language processing, machine learning classification, planning algorithms, and expert systems. These topics are presented with real-world context to help students grasp how AI systems make decisions, solve problems, and adapt to complex environments. Designed for learners from business and interdisciplinary backgrounds, the course highlights the practical implications of AI in research and industry. Through case-based learning and conceptual exercises, students will develop the ability to evaluate AI-driven solutions and understand the ethical considerations surrounding their use. By the end of the course, participants will be equipped with the knowledge to critically engage with AI tools and trends, enabling them to contribute meaningfully to innovation and decision-making in a data-driven world.
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Welcome to the Unsupervised Learning and Its Applications in Marketing course! In this course, you will delve into the fascinating world of unsupervised machine learning and its relevance to the field of marketing. Unsupervised learning is a powerful approach that allows us to uncover hidden patterns and insights from vast amounts of historical data without the need for explicit labels or human intervention. Through hands-on exercises and real-world examples, you will learn how to leverage the Python programming language to apply unsupervised learning algorithms in marketing contexts. Throughout the course, you will explore various unsupervised learning techniques, such as clustering, dimensionality reduction, and association rule mining. These techniques will enable you to identify customer segments, uncover meaningful relationships between variables, and gain valuable insights into consumer behavior. By mastering the applications of unsupervised learning in marketing, you will acquire the skills to extract actionable knowledge from data, make data-driven decisions, and unlock new opportunities for your marketing strategies. So, get ready to embark on a journey of discovery and innovation as you explore the fascinating world of unsupervised learning and its transformative applications in marketing. Let's dive in and unlock the hidden potential of data-driven marketing together! To succeed in this course, you should have a basic understanding of Python. You will also need certain software requirements, including Anaconda navigator.
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Welcome to the Macroeconomics course! This course is designed to provide you with a deep understanding of what an economy is, how it operates, and the factors that sustain and influence economic activity, including the role of policy interventions. You will explore macroeconomic policy analysis at the national level, essentially focusing on short-term macroeconomics, generally described as macroeconomic stabilization against growth or long-term macroeconomics. You will comprehend the theoretical frameworks through a contextualized treatment of concepts considering the experiences in the developing world and the global economy. You will get familiarized with the major macroeconomic debates. The course emphasizes intuitive learning of concepts with the help of diagrams, with only limited reliance on statistical or mathematical techniques.
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Welcome to the Introduction to Academic Writing course! By the end of this course, you will gain an in-depth understanding of reading and writing as essential skills to conduct robust and critical research. This course introduces you to critical reading and writing skills within the conventions of academic writing. In this course, you will learn to effectively communicate your research questions and findings to an interested audience using reading and writing skills. With writing being an important method of thinking, you will learn how the practice of writing allows you to arrive at complex insights about your research area and develop your arguments systematically. This course focuses on the process of developing an argument through the examination of claims and evidence. It also familiarizes you with the structure of academic writing, which will help you better grasp the process of reading academic articles and writing your research. Through a mix of presentations and practice questions, this course provides you with a solid foundation for approaching the process of critical reading and writing in your respective disciplines. It will also cover other writing genres that are relevant to you, including writing for popular media and policy briefs, allowing you to explain how the writing process differs in these areas.
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Welcome to Complexity and Public Policy Course! This course provides an overview of the complexity in public policy situations leading to so-called “wicked policy problems” which appear to have no clear solutions. These problems are widespread, ranging from the Covid-19 pandemic and climate change to economic inequality, traffic congestion, species extinction, SDG achievement, and so forth. They share the characteristics of complex adaptive systems, including nonlinear dynamic change, emergence, self-organization, and adaptation, and resist traditional public policy analytic approaches that normally fail. You will analyze such problems and gain insights into public policy analysis, formulation, monitoring, and evaluation. After gaining insights into the nature of wicked problems and how to make sense of public policy dilemmas, you will learn about complexity economics and applications of complexity tools to various public policy contexts. Furthermore, you will learn about basic models used in complex situations, policy design and evaluation methods, and an alternative approach to public service. This is an intermediate course, intended for learners with a background in social sciences, economics, or public policy. The knowledge you gain from this course will help you in mid- or senior-level policy analysis and planning careers in government or consulting to industries. The course prepares you to: 1. Interpret various policy and planning contexts to decide which analytical tools are best suited. 2. Use various sense-making tools. 3. Understand the difference between complicated and appropriate tools for each. 4. Develop basic computational models to deal with complex policy problems. 5. Understand the different kinds of uncertainty and how to work with them. To succeed in this course, you should have experience in/know about/basic understanding of basic computer software used for computations and simple modeling. You will also need certain...
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This Course Machine Learning offers a comprehensive, hands-on introduction to building and deploying machine learning models using Python. It is designed for learners with a foundational understanding of Python programming and familiarity with basic data analysis concepts. The course begins with a quick review of essential Python libraries such as NumPy, pandas, and Matplotlib, which form the foundation for data manipulation and visualization in data science. Learners are then introduced to core machine learning concepts, including supervised learning techniques such as classification and regression. The course places a strong emphasis on practical implementation using the scikit-learn package, enabling learners to build, train, and evaluate various models effectively. It also covers artificial neural networks and delves into deep learning through TensorFlow, where participants apply regression and classification techniques on real-world datasets. With the growing importance of unstructured data, the course explores neural network-based models for analyzing text and image data, equipping learners to handle diverse data types. By the end of the course, participants will have the ability to design and implement machine learning workflows, drawing actionable business insights from both structured and unstructured data. This skill set supports careers in data analysis, data engineering, and data science across industries.
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This course offers a clear and engaging introduction to how people grow and change from conception to late adulthood. It explores physical, cognitive, social, and emotional development across the entire life course, using major theories and research to help learners understand why people develop the way they do. The course combines scientific knowledge with real-world examples from areas such as family life, education, health, and cultural contexts. Learners will follow the journey of human development from prenatal growth to aging, studying topics like genetic and environmental influences, brain and motor development, cognitive changes, social relationships, identity formation, emotional growth, and the experience of aging and loss. Each module includes videos, readings, case studies, and reflective activities that make complex ideas easy to relate to everyday life. By the end of the course, learners will have a strong foundation in developmental psychology and will be able to apply this understanding to personal growth, caregiving, teaching, and support in different life stages. The course is suitable for students, educators, healthcare workers, and anyone interested in understanding people across the lifespan.
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This course explores the science and practice of managing everyday stress to build balance, resilience, and well-being. Drawing from psychology, neuroscience, and evidence-based interventions, learners will understand how stress arises and learn practical strategies for self-regulation, cognitive reframing, lifestyle balance, and emotional resilience. Through experiential tasks, reflection, and live sessions, participants will develop a personalized Resilience plan for lifelong growth.
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Welcome to the course “Banking and Finance Sector in India”! By the end of this course, you will develop an understanding of Banking and Financial systems in India. Finance is the backbone of any economic system; it facilitates trade by ensuring the smooth exchange of goods and services. Firms and governments require capital to sustain growth and development. Globalization and growth in international trade between nations imply more cross-border movement of goods and services and, thereby, the need for cross-border currency transactions. The finance sector comprises banks and financial intermediaries that facilitate the channel of money and funds from those who have it (savers/investors) to those who need it (borrowers). The eco-system of the finance sector comprises banks, financial institutions, Central Banks (Monetary Policy), the Reserve Bank of India (in the case of India), the government treasury (Fiscal Policy), and the regulators of specific bodies and institutions collecting public money. Over the years, the finance sector in India has widened and deepened in scale, size, and complexity. The working and benefits of a strong eco-system of the finance sector are facilitated by a strong Central Bank and a robust institutional, policy, and regulatory architecture.
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Welcome to the course Ethics in Public Policy! This course will help you learn about the role that ethical, moral, and cultural principles play when lawmakers and public officials formulate and execute public policy. This course draws upon classical writings in political theory and contemporary cases on ethical dilemmas in public policymaking. It will enable you to debate various ethics themes such as justice, equality, fairness, individual liberty, free enterprise, charity, human rights, and minimising harm to others. It will also help you grasp how these themes integrate into various decision-making models, such as the utilitarian approach, fairness and justice approach, and rights approach. This course will help you examine these models in a real-life context to help balance competing interests to make the best decision. In this course, you will gain an in-depth understanding of the challenges that stand at the crossroads between moral and practical decision-making as a real-life practitioner. You will find answers to questions such as if tolerance is a virtue in public policies that risk challenging constitutional norms, what could be the ethical implications of state violence in the name of national interest, and if it would be a good ethical policy to building dams to generate electricity for more people by displacing the inhabitants of that area. With the help of case studies, this course will help you dive deep into the dilemmas faced by the policymakers (both elected and appointed). It will also help you find some middle-ground that is morally just and optimizes social purpose.
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This course focuses on enhancing decision-making abilities through mathematical modeling and simulation. Learners will explore how to structure and solve complex business problems using logical thinking and analytical tools, transforming how decisions are approached in real-world contexts. The course introduces a range of optimization techniques, including linear, non-linear, and integer programming, as well as forecasting and basic machine learning methods, to develop effective prescriptive models. Through extensive hands-on practice using Excel, participants will work with real-world datasets across functions such as operations, supply chain, marketing, human resources, and finance. Each module integrates practical case studies, enabling learners to identify decision variables, gather relevant data, model the problem, and evaluate solutions using sensitivity analysis. Emphasis is placed on interpreting model outcomes, collaborating with stakeholders, and effectively communicating results for implementation. In addition to technical modeling skills, the course fosters soft skills like problem framing, teamwork, and engagement with decision-makers. Designed for learners with prior experience in business analytics and Excel, the course is ideal for those seeking to apply data-driven strategies in managerial or data science roles. By the end of the course, learners will be equipped to apply prescriptive analytics for impactful, actionable business decisions.
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This course explores democracy as a form of governance and its impact on development and public policy. Learners will examine the significance of democratic institutions in shaping development agendas and outcomes. Through comparative analysis, the course investigates how democracies and non-democracies differ in their approach to public policy, resource allocation, and citizen engagement. Key questions addressed include whether democracy promotes development, how policy outcomes vary across regimes, and whether democracies should be evaluated based on results. By the end of the course, learners will gain a nuanced understanding of the complex relationship between democratic governance and development effectiveness in diverse contexts.
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This course provides an introduction to key environmental concepts, current environmental challenges, and their impact on human health and well-being. Learners will explore different types of environments and understand how environmental agents—such as air and water pollutants—affect public health. The course also covers methods for estimating the burden of disease attributable to environmental factors. Emphasis is placed on the interconnectedness of environmental issues with the broader goals of sustainable development. By the end of the course, learners will have a foundational understanding of how environmental quality influences health outcomes and why sustainability is essential for long-term human and ecological well-being.
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Welcome to the Introduction to Decision Science for Marketing course! This course will introduce the principles and methods of data analytics as they apply to marketing. You will learn how and why to use data and analytics to inform marketing decisions and strategies. This beginner-level course provides awareness about the present practice of data-driven decision-making in the marketing discipline. This will help you familiarize yourself with practical tips about when and where to use various techniques and tools. You will learn about critical theories and concepts with the help of relevant examples. To succeed in this course, you should have basic clarity of concepts of the marketing discipline. As a prerequisite for the course, you should know key marketing terms, such as segmentation, targeting, and positioning. After the successful completion of this course, you will have basic understanding of how to use data for making marketing predictions. You will have sufficient knowledge of foundational elements, the relationship between data and marketing constructs/concepts, and how decision science and marketing work in tandem to produce relevant insights for today’s market. Finally, the course provides concrete strategies to start with decision science in marketing.
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This course focuses on enhancing the understanding of statistics for psychology students and introduces some introductory and advanced statistical concepts. The course presents statistical principles and techniques used in psychology, encapsulating an understanding and application of statistics in critical, creative and fun ways. The course aims to equip students with knowledge and skills in basic statistical methods progressively covering differences between descriptive and inferential statistics, analysis of variance, simple linear regression, as well as some non-parametric statistical techniques. The course endeavors to provide students with proficiency in both fundamental and advanced statistical methodologies, thereby enabling a deeper comprehension of concepts and their subsequent application in future scholarly research.
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This course introduces learners to the concept of economic development and its connection to human well-being. It explores the evolution of development thought, beginning with GDP as a traditional measure and expanding to multidimensional approaches. Key topics include Sen’s Capability Approach and the Human Development Index (HDI), which emphasize health, education, and individual freedoms. The course also examines the relationship between happiness and development, challenging conventional views of progress. Through real-world examples and critical analysis, learners gain a nuanced understanding of development economics and the tools used to measure and promote inclusive and sustainable growth across different global contexts.
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This course offers a comprehensive introduction to the fundamental principles of economics, with a balanced focus on both microeconomic and macroeconomic perspectives essential for business decision-making. Students will gain an understanding of how individual households and firms make choices regarding consumption, production, and pricing under conditions of scarcity in the study of Microeconomics. Key topics include demand and supply analysis, market structures, cost and revenue concepts, and the behavior of firms under various competitive environments. On the Macroeconomics side, the course explores the functioning of the economy as a whole, equipping students with the tools to analyze national and global economic trends. Learners will examine critical macroeconomic indicators such as Gross Domestic Product (GDP), inflation, and unemployment, and understand how these indicators reflect the performance and health of an economy. The course will also explore the roles of fiscal and monetary policies, business cycles, and the impact of international trade and exchange rates. Designed for students pursuing careers in business, finance, and management, this course emphasizes practical applications of economic theory to real-world business contexts. By the end of the course, students will be able to apply economic reasoning to interpret market dynamics, assess policy decisions, and make informed business choices. No prior background in economics is required, making this course ideal for beginners seeking to build a strong foundation in the subject.
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Welcome to the Principles of Management course! By the end of this course, you will develop a good understanding of management theory and practice. The course discusses management and its relations to the external environment, and how various factors shape management practices over time. You will be able to understand the social responsibility of managers and how ethics can be institutionalized in organizations. The course delves into a deeper understanding of managerial functions of planning, organizing, staffing, leading, and controlling. The course details the fundamental principles of management functions along with highlighting the contemporary developments in management processes. This is a beginner course, intended for learners with a background in all types of organizations. The knowledge you gain from this course will help you in all careers and/or all industries. To succeed in this course, you should have a basic understanding of working in a formal/informal organizational context.
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Welcome to The Making of US Foreign Policy course! This course seeks to provide you with a comprehensive understanding of the United States’ Foreign Policy (USFP). Through this course, you will look at the evolution of USFP from its founding to the present. You will analyze the role of the institutions which play a role in defining USFP. You will also explore how the USFP relies on trade and economic interdependence to define global economic relations.
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Welcome to the Statistical Methods and Data Analysis course! This course serves as an introduction to the statistical and computation methods that have become indispensable tools for those pursuing careers in public policy. Alongside offering the necessary background in basic and applied statistics, the course will also introduce you to the powerful R programming interface. For statistical methods, the course focuses on understanding and application of different concepts and tools of statistics. You will be introduced to data visualization, which is an indispensable tool in this period of vast information around us. In this course, you will learn how to summarize data using descriptive statistics. Next, you will learn about sampling and how to make inferences about the population from a sample via probability theory. You will understand the difference between experimental and observational data. You will learn how to analyze experimental data using tests of significance. For observational data, you will learn correlation analysis and regression analysis. Finally, the course will help you to learn about regression with big data. For programming skills, you will learn R as a programming language for statistical computing. R is a free software environment for statistical computing and has lots of support information available on the Internet. At the end of this course, you will have the confidence of executing your research project using R.
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This course introduces learners to the foundational concept of health and its critical role in shaping human life and societal well-being. It explores the interconnections between life, health, and healthcare systems, offering a multidimensional understanding of what it means to be healthy. The module examines various theoretical approaches to health, including the biomedical model, health as human capital, Amartya Sen’s capability approach, and the framing of health as a fundamental human right. Through these perspectives, learners will gain insight into how health is understood, measured, and promoted in policy and practice, and its centrality to sustainable development and human dignity.
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Welcome to the Identity and Policy course! By the end of this course, you will gain an in-depth understanding of the concept of identity and how it influences every aspect of society and public policy. The course introduces you to the meaning and the various dimensions of identity in the contemporary world, followed by a comparison of the social context of identities in different societies across the globe. With this basic understanding, you will explore some tools necessary to analyze identity groups' consequences at the personal, economic, social, and political levels. You will learn about the policy responses that government bodies have enacted in different contexts, followed by a critical analysis of the same. You will discover various socio-political regimes in the world and their conduciveness towards the rise of identity politics. You will also explore how identities majorly affect international relations and geopolitics. The course uses extensive illustrations from worldwide to draw comparisons and critically analyze policies.
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Welcome to the American Politics, Society, and History course! This course seeks to provide learners with a comprehensive understanding of American history, politics, society, and culture. The United States has been a beacon in the international community as a constitutional liberal democracy. Through this course, you will gain insight into the historical evolution of the US from a constitutional perspective and provide an overview of the government in the US. You will also look at how critical social factors like race, ethnicity, and gender inform the evolution of American society. You will further look at what American culture is and how it is constantly evolving over time.
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The Predictive Analytics and Forecasting course is designed for advanced learners aiming to develop practical skills in analyzing data to make forward-looking business decisions. As organizations increasingly rely on data-driven strategies, this course equips future managers with the ability to understand and apply predictive analytics tools for improved decision-making. Learners will explore key concepts in data mining such as regression, classification, clustering, and forecasting, with a strong focus on real-world business applications. The course covers how predictive analytics can uncover customer behavior patterns, market segmentation opportunities, and retail and demand forecasting strategies. It also emphasizes the importance of translating analytical insights into actionable decisions and effective communication with technical teams. Through business case studies and data-rich scenarios, participants will gain hands-on exposure to tools and techniques used across industries. This course is intended for individuals with a foundational understanding of data analysis, including regression, correlation, data visualization, and statistical interpretation. It bridges the gap between technical analytics and business strategy, empowering learners to lead and support data-driven initiatives. By the end of the course, participants will be prepared to apply predictive analytics in managerial roles, driving efficiency, innovation, and competitive advantage in today’s dynamic business landscape.
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This course offers a comprehensive introduction to public policy and the processes through which it is formulated, implemented, and evaluated. It addresses fundamental questions such as: Why do we need public policy? How is it made? What types of policies exist? Learners will explore the political, social, and economic contexts in which policies are developed, adopted, and assessed, gaining insights into how these factors shape outcomes. The course examines key theories and frameworks that guide the policymaking process, while also identifying challenges such as political capture, implementation gaps, and unintended consequences. Learners will be introduced to strategies for influencing different stages of the policy cycle and will develop the ability to critically assess policy effectiveness and equity. Special emphasis is placed on understanding the role of communication and advocacy in shaping public policy agendas. Throughout the course, real-world examples and case studies related to poverty, unemployment, education, health care, and the environment will be used to explore public policy paradoxes. Students will learn how poorly designed policies can exacerbate exclusion and inequality, while well-crafted policies can enhance social mobility and opportunity. By the end of the course, learners will be equipped to analyze, critique, and contribute to effective policymaking in diverse contexts.
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Welcome to the Program Design and Evaluation course! By the end of this course, you will gain an in-depth understanding of the conceptual and methodological steps in designing and evaluating a program or a project to operationalize a public policy initiative. You will learn how a program aims to allocate resources to its intended beneficiaries by engaging multiple stakeholders. You will analyze its necessity when a market, generally seen as the most efficient mechanism to allocate resources, fails to do the needful in the desired measure. You will further explore that the beneficiary of a program or a project may be an individual, a firm, or even a collective community, an organization, and different layers of a state. You will analyze that while a program or a project involves collective public action, it is necessary to ensure that such action delivers the desired outcomes. The course focuses on how program design entails identifying the required collective actions relevant for translating a public policy initiative into desired social outcomes, even if such actions may succeed or fail to deliver the desired outcomes. You will gain insights into how program design, implementation, and evaluation feedback help make a program or a project successful in meeting its stated objectives.
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"Indian Economy in a Digital World" is designed to provide learners with a comprehensive understanding of the intersection between the Indian economy and the transformative impact of digital technologies. In an era of technological advancements reshaping economic landscapes, this course offers insights into how India navigates this digital revolution and its implications for economic growth, sectors, and policies. Learners will get insights into how disruptive technologies enable new business models, change policy dynamics, and influence socio-economic development in India. After completing this course, a learner will be able to: • Examine the historical evolution of India’s economy from its Independence to the digital age • Analyze the impact of digital technologies and platforms on key sectors of the Indian economy • Analyze the Digital India Program and its components • Examine the role of foundational digital public infrastructure in enabling innovation, efficiency, and transparency • Understand the competitive nature of market economy driven by digital platforms • Synthesize interdisciplinary perspectives from economics, technology, skill development, public policy, business strategy, and data ethics around the digital economy.
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Welcome to the India-US Relations: Geopolitics, Culture, and Business course! This course seeks to provide you with a comprehensive understanding of the intense ties between India and the US. The government-to-government interactions are elaborated by focusing on the strategic ties between the two countries and the business relationship. You will gain insight into how people-to-people relationships are highlighted by focusing on the diaspora. You will also explore the educational and cultural links strengthening the bonds between India and the US.
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This course offers a strategic and practical understanding of how emerging technologies—specifically Blockchain, Artificial Intelligence (AI), and the Internet of Things (IoT)—are transforming the future of business. As digital innovation reshapes industries, the course explores how these technologies enable new forms of value creation, operational efficiency, and competitive advantage. Learners will examine the core principles and business applications of each technology: blockchain’s ability to enhance transparency, security, and trust; AI’s capacity to automate tasks, analyze complex data, and support intelligent decision-making; and IoT’s role in connecting devices to drive smarter operations and real-time insights. Through a combination of case studies, hands-on projects, and guest lectures from industry experts, participants will evaluate the strategic use of these technologies across sectors such as finance, healthcare, supply chain, and marketing. The course encourages critical thinking and innovation, equipping learners with the tools to assess technological readiness, manage change, and lead digital transformation initiatives. By the end of the course, learners will be able to identify emerging technology trends, understand their business implications, and develop strategies to leverage these technologies for innovation, growth, and long-term sustainability in a rapidly evolving digital landscape.
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Welcome to the Democratic Governance and Policymaking course! In this course, you will learn that all citizens collectively desire public goods such as justice, peace, and welfare, but beyond their individual means. A state is a politically organized society to fulfill citizens’ public good needs. Politics is an activity in pursuit of the collective interests of the citizens. Policymaking is a collective action to identify, adequately provide, and equitably allocate desired public goods. However, arriving at a collective choice on who gets what, when, and how much, and who decides and how, faces joint action problems. This often leads to a policy gap between citizens’ preferences and policy provision, resulting in a loss of well-being. Governance in policymaking is about providing stewardship to these collective efforts through institutional mechanisms to minimize the policy gap. Democracy in governance is about the active participation of citizens, directly or indirectly, at all stages of policymaking. This course aims to provide an applied appreciation of the role of citizen participation in effective policymaking. As it attempts to do so, it juxtaposes democratic principles with empirical evidence to gain insights into what works, what does not, and why in the practice of democratic governance. The course is structured as follows. Module one describes the context leading to the policy gap. Modules two to four examine the institutional arrangements for policymaking in democratic governance. Modules five and six explain how democratic governance can reduce the policy gap. Module seven concludes with approaches for measuring democratic governance and its determinants.
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Welcome to the Foreign Policies of Great, Middle, and Small Powers course! This course acquaints you with how power matters in the conduct of international relations and how it influences the strategies and tactics of a nation-state in dealing with other nation-states. It demonstrates the link between a country’s ranking in the international system and the means and methods it adopts to deal with the rest of the world. The course begins with introducing a few concepts on what constitutes power in world affairs, how it is calculated, and how the international power configuration changes over time. You will also learn about what foreign policy means and what its constituent elements, strategies, or activities are. Then, the course delves deeper into the case studies of two contemporary great powers, two contemporary middle powers, and two contemporary small powers. These empirical case studies raise your awareness about current developments and trends in foreign relations from different regions of the world. Lastly, the examples of foreign policy approaches and decisions of nation-states, based on world news events of recent times, help you figure out the essence of world politics as it is being practiced in present times, and prepares you to anticipate the future international orders to come. Once you complete your FGMS (Foreign Powers Great Middle and Small) certification, you have the option to continue your studies by enrolling in the MAIRSS (Masters in International Relations and Strategic Studies) degree program. The credits you've earned from the FGMS certification will be transferred into the MAIRSS degree program. To complete the MAIRSS degree requirement, you only need to finish a staff-graded assessment, which is the final requirement to demonstrate your knowledge and skills in the field.
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Welcome to the Urbanization and Development: Practice, Theory, and Policy course! The 21st century is an urban century. The UN estimates show that more than half the global population lives in cities. More than two-thirds of the global population is expected to be in cities by 2050 and this will be concentrated in cities in Asia, Africa, and Latin America. The UN projects that India and China, the two populous countries, will have nearly 700 million inhabitants in their cities. Yet, these Indian and Chinese cities have some high levels of inequality and competing interests over physical, economic, and political spaces. This course examines what makes cities contradictory spaces of work, residence, and play that enable the release of creative energies, aspirations, and economies yet simultaneously restrict, control, and confine. Since the mid-nineties, the Indian and the Chinese State have attempted to transform the city spaces to attract globally connected corporate economies. While government agencies attempt to shape city spaces through policies, mega urban development projects, new laws, and institutions, not all these efforts follow a designed trajectory. The attempt to transform urban spaces is often incomplete, and the resistance or subversion from court cases, as well as the contradictions within the government, shape the project’s unpredictable trajectory. Perhaps, a challenge confronting every policymaker is the dynamic nature of city territories and the difficulty in predicting or controlling the actions of diverse actors. The course will specifically examine the practices by which urban spaces are constituted and used, the role of actors and institutions, law in letter and practice, and the effects on social justice and inequality. Further, you will explore the fit between city practices and policies and theories undergirding policies. You will also learn about the actual practices on the ground and mobilizing case studies of existing practices to ...
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This course uses an organised, module-based methodology to impart a fundamental understanding of environmental science. Environmental Pollution introduces the main contaminants, their sources, health effects, and global views at the start of the program. After that, it moves on to Social Issues and Environment, where students study global case studies that highlight the connections between environmental problems, pollution, and human health. Ecosystem structure, nutrient cycle, energy flow, and vital ecosystem services are all covered in the third module, Ecosystems. Building on this, the Biodiversity and Conservation module presents planetary boundaries, biome integrity, community ecology, and biodiversity principles. The last module, Climate Change and Environment, introduces students to global consequences, anthropogenic and natural sources of climate change, climatic processes, and the fundamentals of adaptation and mitigation. Lecture videos and carefully chosen readings from reputable scientific sources are combined in the pedagogy.
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This interdisciplinary course equips students and professionals with the theoretical frameworks and practical skills needed to navigate complex conflicts, negotiate effectively, and manage crises in diverse contexts. Through a blend of academic rigor and real-world case studies, participants will explore leadership dynamics, mediation strategies, gender inclusivity, and democratic governance in crisis scenarios. The course is structured across five immersive modules, each addressing critical dimensions of modern conflict and crisis management.
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This course introduces students to foundational areas in psychology across four key modules, including the biological basis of behavior, cognitive and emotional processes, theories of motivation and personality, and an introduction to psychological disorders. It offers students a basic yet comprehensive understanding of how psychological science explains thought, feeling, and behavior. By examining essential psychological concepts and theories, students will begin to critically reflect on human behavior in various contexts. The course encourages the application of these insights to one’s own experiences, relationships, and broader social environments.
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This course provides an introduction to econometrics, focusing on its scope, foundational concepts, and practical applications in analyzing economic relationships. Learners will begin by exploring the distinctions between economic models and econometric models, gaining an understanding of how theory and data intersect in empirical research. The course introduces regression analysis, starting with simple linear regression involving one dependent and one independent variable, enabling students to examine the nature and strength of relationships between economic variables. In addition to core econometric principles, learners will review essential statistical concepts such as individual, conditional, and joint probability distributions, as well as the concept of variable independence. These concepts form the basis for understanding how data behaves and how relationships among variables can be rigorously examined. A major focus will be on the general structure and assumptions of the linear regression model, which serves as a cornerstone in empirical economic analysis. Students will learn how to interpret coefficients, test hypotheses, and understand the conditions under which regression results are valid and meaningful.
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Welcome to the Text Mining for Marketing course! This course will introduce you to the principles and methods of text mining as they apply to the field of marketing. You will learn how and why to use text mining to inform marketing decisions and strategies. This course is for everyone interested in practical applications of text mining in the marketing discipline and who wants to understand it and apply it. This course is not for those who are looking for programming instructions and mathematical routines. This is a beginner-level course that will bring awareness to the present practice of text mining in marketing. It will help you to get familiarized with practical tips about when and where to use various techniques and tools. You will learn about critical theories and concepts with the help of relevant examples. After the successful completion of this course, you will develop a basic understanding of how to use text mining techniques for making marketing decisions. You will gain sufficient knowledge of foundational elements, what is the relationship between textual data and marketing constructs/concepts, and how text mining and marketing work in tandem to produce relevant insights for today’s market. It will also provide you with concrete strategies to get started with text mining in marketing. To succeed in this course, you should have experience in/know about/have basic understanding of marketing concepts and data analytics techniques. Students must understand the difference between data analytics and text analytics.
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Welcome to the Power and Foreign Policy in International Relations course! This course acquaints you with how power matters in the conduct of international relations and how it affects the strategies and tactics of a nation-state in dealing with other nation-states. It demonstrates the link between a country’s ranking in the international system and the means and methods it adopts to deal with the rest of the world. The course begins with introducing a few concepts about what constitutes power in world affairs, how it is calculated, and how the international power configuration changes over time. You will also learn what foreign policy means and what its constituent elements, strategies, or activities are. Then, the course delves deeper into case studies of contemporary great powers, middle powers, and small powers. These empirical case studies will raise the general knowledge of students about current developments and trends in foreign relations from different regions of the world. The examples of foreign policy approaches and decisions of nation-states, based on world news events of recent times, will help students to figure out the essence of world politics as it is being practiced in present times and prepare students to anticipate the future international orders to come.
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This course offers an engaging introduction to social psychology, the scientific study of how people think, feel, and behave in social situations. It covers a wide range of themes such as social cognition, attitudes, persuasion, conformity, group dynamics, prejudice, aggression, prosocial behavior, attraction, justice, and applied social psychology. Through these topics, learners discover how social and cultural forces shape everyday behavior. The course brings together classic studies and modern perspectives and includes both Western and Indian examples, giving learners a broad and relevant understanding of human social behaviour. Learners will work through a mix of video lessons, readings, discussions, quizzes, and applied assignments. They will explore how people make sense of the social world, how relationships form and change, how group pressures influence decisions, and how psychological processes show up in systems like the legal and environmental sectors. The course also focuses on ethical questions, the role of cognitive biases, and how psychology can address real-world challenges. By the end, learners develop a strong foundation in understanding human behaviour and learn how to apply psychological ideas to social issues, personal interactions, and informed decision-making.
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The Big Data Analytics course offers a deep dive into the technologies, tools, and techniques used to process and analyze large-scale data. Learners will explore the Hadoop and Spark ecosystems, gaining hands-on experience with essential components such as Hadoop Distributed File System (HDFS), MapReduce, Pig, and Hive. The course also covers both relational (SQL) and nonrelational (NoSQL) databases, helping learners understand the appropriate contexts for each type of data storage. A significant focus is placed on Apache Spark, known for its high-speed, in-memory data processing capabilities, which is vital for handling big data applications. Learners will also work through real-world exercises, including implementing and deploying a machine learning application that processes streaming data on the cloud. Designed for professionals with a background in predictive analytics, basic SQL, and Python programming, this course equips learners with the practical skills to manage data characterized by high volume, velocity, and variety. By the end of the course, participants will be able to derive actionable insights from big data and apply them in business contexts, contributing to improved decision-making and competitive advantage in data-driven environments.
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The Diplomatic Practice course provides a comprehensive understanding of the evolving landscape of international relations. You'll explore negotiation techniques, the role of embassies and diplomats in safeguarding national interests, and the impact of globalization and technology on modern diplomacy. Discover the nuances of political, economic, and cultural diplomacy, along with emerging trends like diaspora and para diplomacy. Analyze the rise of hybrid diplomacy in a post-pandemic world. Upon successful completion of this MOOC course, students who enrol in the MA-IRSS Programme will only be required to complete the Staff Graded Assignment to receive full credit for the course. This streamlined process acknowledges the foundational knowledge acquired through the MOOC and facilitates a seamless transition into the MA-IRSS curriculum.
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Welcome to the Digital Marketing Analytics course! We live in an era of digital technology and most marketing activities are shifting to digital platforms. It is indispensable for businesses to proactively take action on their websites, social media, blogs, and other digital platforms and to carefully examine the intent and action data of the consumers. A careful examination of the consumer or prospective consumer’s digital activity can provide deep insights that can make a company create winning products and cement its leadership position in the markets. This is a beginner-level course and revolves around the essential digital marketing platforms, actions, and key performance indicators or KPIs, and how those KPIs can be meaningfully translated into business actions. In this course, you will learn the fundamental concepts and principles of digital marketing analytics and how to use tools such as Google Analytics to track and analyze the performance of your digital marketing campaigns and understand the behavior of your audience. You will also learn how to use social media platforms to engage with your customers and measure the success of your social media marketing efforts. In addition to gaining a solid foundation in digital marketing analytics, you will also learn how to apply these principles to your own business or organization. You will learn how to identify the most important metrics for your business and develop strategies to improve your digital marketing performance. By the end of the course, you will have the knowledge and skills you need to succeed in the field of digital marketing analytics. Throughout the course, you will be exposed to real-world examples and used cases to help you understand the practical applications of digital marketing analytics. You will learn how to set up tracking and measurement systems, collect and analyze data, and use the insights you gain to improve the effectiveness of your digital marketing efforts. It is a beginner-leve...