dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Compétences Excel professionnelles : Intermédiaire II
Modules:
Semaine 1 Introduction, Semaine 1 Discussion, Vidéo d’entraînement : Validation des données, Vidéo d’entraînement : Créer des listes déroulantes, Vidéo d’entraînement : Utiliser des formules pour la validation des données, Vidéo d’entraînement : Travailler avec la validation des données, Vidéo d’entraînement : Mise en forme conditionnelle avancée, Semaine 1 - Conclusion
Semaine 2 Introduction, Semaine 2 Discussion, Vidéo d’entraînement : Fonctions logiques I : SI, Vidéo d’entraînement : Fonctions logiques II : ET, OU, Vidéo d’entraînement : Combiner des fonctions logiques I : SI, ET, OU, Vidéo d’entraînement : Combiner des fonctions logiques II : SI imbriqué, Vidéo d’entraînement : Gérer les erreurs : SIERREUR, SI.NON.DISP, Semaine 2 - Conclusion
Semaine 3 Introduction, Semaine 3 Discussion, Vidéo d’entraînement : Introduction au recherches : CHOISIR, Vidéo d’entraînement : Correspondances approximatives : RECHERCHEV dans une plage, Vidéo d’entraînement : Correspondances exactes : RECHERCHEV correspondance exacte, Vidéo d’entraînement : Trouver une position : EQUIV, Vidéo d’entraînement : Recherches dynamiques : INDEX, EQUIV, Semaine 3 - Conclusion
Semaine 4 Introduction, Semaine 4 Discussion, Vidéo d’entraînement : Vérification des erreurs, Vidéo d’entraînement : Options de calcul des formules, Vidéo d’entraînement : Tracer les antécédents et les dépendants, Vidéo d’entraînement : Évaluer une formule, Fenêtre Espion, Vidéo d’entraînement : Protéger les classeurs et les feuilles de calcul, Semaine 4 - Conclusion
Semaine 5 Introduction, Semaine 5 Discussion, Vidéo d’entraînement : Fonctions de modélisation : SOMMEPROD, Vidéo d’entraînement : Tableaux de données, Vidéo d’entraînement : Recherche d’objectifs (Goal Seek), Vidéo d’entraînement : Gestionnaire de scénario, Vidéo d’entraînement : Solveur, Semaine 5 - Conclusion
Semaine 6 Introduction, Semaine 6 Discussion, Vidéo d’entraînement : Enregistrer une macro, Vidéo d’entraînement : Exécuter une macro, Vidéo d’entraînement : Modifier une macro, Vidéo d’entraînement : Travailler avec des macros, Vidéo d’entraînement : Macros avec référence relative, Semaine 6 - Conclusion
Évaluation finale
Course: Mobile Development and JavaScript
Modules:
Introduction to Mobile Development and JavaScript, How is JavaScript used in the real world?, Setting up VS code (Optional), Introduction to programming, Why JavaScript?, Programming in JavaScript, Variables, Data types, Operators, Numbers, Strings, Booleans, Writing statements, Working with conditional statements, Looping constructs, For loop, While loop, Nested loops, Module summary: Introduction to JavaScript
Functions, Storing data  in arrays, Introduction to objects, Math object, A closer look at strings, Typeof, Bugs and errors, Try catch blocks, Undefined, null and empty values, Module summary: The Building Blocks of a Program
Introduction to functional programming, Function calling and recursion, Introduction to scope, Scoping with var, let and const, Comparing var, let and const, Introduction to object-oriented programming, Classes, Inheritance, De-structuring arrays and objects, For- of loops and objects, Working with template literals, Data Structures, Spread operator, Rest operator, JavaScript modules, JavaScript DOM manipulation, JavaScript selectors, Event handling, JavaScript Object Notation - JSON, Module summary: Programming Paradigms
Other JavaScript environments - node & NPM, What is testing?, Types of testing, Introduction to Jest, Writing tests with Jest, TDD (Test-Driven Development), Module summary: Testing
Recap: Mobile Development and JavaScript, Congratulations on completing the course Programming with JavaScript
Course: Data Structures and Algorithms (II)
Modules:
写在选课之前, 考核方式, 课程教材与讲义, 关于讨论区, 微信平台
04-A-1：栈, 04-A-2：实例, 04-A-3：实现, 04-C1-1：应用, 04-C1-2：算法, 04-C1-3：实现, 04-C2-1：实例, 04-C2-2：尝试, 04-C2-3：构思, 04-C2-4：实现, 04-C2-5：反思, 04-C2-6：拓展, 04-C3-1：混洗, 04-C3-2：计数, 04-C3-3：甄别, 04-C3-4：算法, 04-C3-5：括号, 04-C4-1：把玩, 04-C4-2：构思, 04-C4-3：实例, 04-C4-4：算法框架, 04-C4-5：算法细节, 04-C4-6A：实例A, 04-C4-6B：实例B, 04-C4-6C：实例C, 04-C4-6D：实例D, 04-C5-1：简化, 04-C5-2：体验, 04-C5-3：手工, 04-C5-4：算法, 04-D-1：接口, 04-D-2：实例, 04-D-3：实现
05-A-1：动机, 05-A-2：应用, 05-A-3：有根树, 05-A-4：有序树, 05-A-5：路径 + 环路, 05-A-6：连通 + 无环, 05-A-7：深度 + 层次, 05-B-1：表示法, 05-B-2：父亲, 05-B-3：孩子, 05-B-4：父亲 + 孩子, 05-B-5：长子 + 兄弟, 05-C-1：二叉树, 05-C-2：真二叉树, 05-C-3：描述多叉树, 05-D-1：BinNode类, 05-D-2：BinNode接口, 05-D-3：BinTree类, 05-D-4：高度更新, 05-D-5：节点插入, 05-E1-1：转化策略, 05-E1-2：遍历规则, 05-E1-3：递归实现, 05-E1-4：迭代实现（1）, 05-E1-5：实例, 05-E1-6：新思路, 05-E1-7：新构思, 05-E1-8：迭代实现（2）, 05-E1-9：实例, 05-E2-1：递归, 05-E2-2：观察, 05-E2-3：思路, 05-E2-4：构思, 05-E2-5：实现, 05-E2-6：实例, 05-E2-7：分摊分析, 05-E4-1：次序, 05-E4-2：实现, 05-E4-3：实例, 05-E5-1：遍历序列, 05-E5-2：(先序 | 后序) + 中序, 05-E5-3：(先序 + 后序) x 真
06-A-1：邻接+关联, 06-A-2：无向+有向, 06-A-3：路径+环路, 06-B1-1：接口, 06-B1-2：邻接矩阵+关联矩阵, 06-B1-3：实例, 06-B1-4：顶点和边, 06-B1-5：邻接矩阵, 06-B1-6：顶点静态操作, 06-B1-7：边操作, 06-B1-8：顶点动态操作, 06-B1-9：综合评价, 06-C-1：化繁为简, 06-C-2：策略, 06-C-3：实现, 06-C-4：可能情况, 06-C-5：实例, 06-C-6：多连通, 06-C-7：复杂度, 06-C-8：最短路径, 06-D-1：算法, 06-D-2：框架, 06-D-3：细节, 06-D-4：无向图, 06-D-5：有向图, 06-D-6：多可达域, 06-D-7：嵌套引理
07-A-1：纵览, 07-A-2：循关键码访问, 07-A-3：有序性, 07-A-4：单调性, 07-A-5：接口, 07-B1-1：概述, 07-B1-2：查找：算法, 07-B1-3：查找：理解, 07-B1-4：查找：实现, 07-B1-5：查找：语义, 07-B2-1：插入：算法, 07-B2-2：插入：实现, 07-B3-1：删除：框架, 07-B3-2：删除：单分支, 07-B3-3：删除：双分支, 07-B3-4：删除：复杂度, 07-C-1：极端退化, 07-C-2：平均高度, 07-C-3：理想 + 适度, 07-C-4：歧义 = 等价, 07-C-5：等价变换, 07-D1-1：AVL = BBST, 07-D1-2：平衡因子, 07-D1-3：适度平衡, 07-D1-4：接口, 07-D1-5：失衡+复衡, 07-D2-1：插入：单旋, 07-D2-2：插入：双旋, 07-D2-3：插入：实现, 07-D3-1：删除：单旋, 07-D3-2：删除：双旋, 07-D3-3：删除：实现, 07-D4-1：”3+4“重构, 07-D4-2：”3+4“实现, 07-D4-3：rotateAt(), 07-D4-4：综合评价
列车调度 (Train), 真二叉树重构 (Proper Rebuild), 旅行商 (TSP)
Course: Нестандартні рішення в маркетингу електронною поштою
Modules:
Вступ до 4-го курсу, Вітаємо з початком 1-го тижня, Що таке маркетинг електронною поштою?, Виконання аналізів PESTLE та SWOT, Як ставити цілі за технікою SMART, Що варто і чого не варто робити в маркетингу електронною поштою, Підсумки
Вітаємо з початком 2-го тижня, Типи маркетингових електронних листів: електронні листи для залучення клієнтів, Типи маркетингових електронних листів: вітальні електронні листи, Типи маркетингових електронних листів: інформаційні бюлетені, Типи маркетингових електронних листів: рекламні електронні листи, Типи маркетингових електронних листів: електронні листи для утримання клієнтів, Підсумки
Вітаємо з початком 3-го тижня, Складання списку адресатів, Сегментація списку адресатів, Написання результативних електронних листів, Корисні інструменти для ефективної маркетингової кампанії електронною поштою, Вибір інструмента для маркетингової кампанії електронною поштою, Помилки в маркетинговій кампанії електронною поштою, Підсумки
Вітаємо з початком 4-го тижня, Корисні показники результатів маркетингу електронною поштою, Поширені показники маркетингу електронною поштою, Поширені показники маркетингу електронною поштою: частина 2, Поширені показники маркетингу електронною поштою: частина 3, Підготовка звіту за результатами маркетингової кампанії електронною поштою, Каран: поради щодо презентації звіту зацікавленим сторонам, Підсумки
Вітаємо з початком 5-го тижня, Створення умов для маркетингової кампанії електронною поштою, Підсумки, Підведення підсумків курсу
Course: Introduction to Calculus
Modules:
Welcome and introduction to Module 1, Real line, decimals and significant figures, The Theorem of Pythagoras and properties of the square root of 2, Algebraic expressions, surds and approximations, Equations and inequalities, Sign diagrams, solution sets and intervals (Part 1), Sign diagrams, solution sets and intervals (Part 2), Coordinate systems, Distance and absolute value, Lines and circles in the plane
Introduction to Module 2, Parabolas and quadratics, The quadratic formula, Functions as rules, with domain, range and graph, Polynomial and power functions, Composite functions, Inverse functions, The exponential function, The logarithmic function, Exponential growth and decay, Sine, cosine and tangent, The unit circle and trigonometry, Inverse circular functions
Introduction to Module 3, Slopes and average rates of change, Displacement, velocity and acceleration, Tangent lines and secants, Different kinds of limits, Limit laws, Limits and continuity, The derivative as a limit, Finding derivatives from first principles, Leibniz notation, Differentials and applications (Part 1), Differentials and applications (Part 2)
Introduction to Module 4, Increasing and decreasing functions, Sign diagrams, Maxima and minima, Concavity and inflections, Curve sketching, The Chain Rule, Applications of the Chain Rule, The Product Rule, Applications of the Product Rule, The Quotient Rule, Application of the Quotient Rule, Optimisation, The Second Derivative Test
Introduction to Module 5, Inferring displacement from velocity, Areas bounded by curves, Riemann sums and definite integrals, The Fundamental Theorem of Calculus and indefinite integrals, Connection between areas and derivatives (Part 1), Connection between areas and derivatives (Part 2), Integration by substitution (Part 1), Integration by substitution (Part 2), Odd and even functions (Part 1), Odd and even functions (Part 2), The logistic function (Part 1), The logistic function (Part 2), The escape velocity of a rocket
Course: Gestión de talento y liderazgo con Empatía
Modules:
Bienvenida, Políticas y lineamientos de calificación, Políticas de Coursera
Bienvenida, Definición y Características de una Empresa Centrada en la gestión del ser humano, Historia y Evolución de la Humanización en las Organizaciones, Casos de Estudio de Humanización Organizacional, Principios del Liderazgo Auténtico, Liderazgo Auténtico y su Influencia en la Gestión del Capital Humano, El Impacto del Carisma en el Liderazgo auténtico, Introducción a la Epistemología de la Humanización Organizacional, La Epistemología Estratégica en la Práctica de la Humanización Organizacional, Integración de la Ética en la Gestión Organizacional, Gestión emocional para impulsar la transformación del ecosistema corporativo
Ser Efectivo. Ser Humano., Desafíos Actuales en la Gestión del Talento, Introducción al Proceso de Gestión de talento, Modelo de Gestión Integrada del Talento, Diseño de entrevistas para la Selección de Talento Efectiva, El rol de la descriptiva de puesto para el Onboarding Efectivo, Estrategia para la capacitación empresarial del capital humano, Cultura del aprendizaje contemporáneo en la capacitación empresarial, Compromiso y retención del capital humano, La evaluación en la gestión del capital humano
Introducción al People Analytics en el Modelo de Gestión Integrada de Talento, Indicadores Clave empleados en el People Analytics, Diseño de estrategias basada en People Analytics, Sistemas de Gestión de Recursos Humanos, Índice Humano de la Organización (IHO), Introducción al Acompañamiento, Impacto de People Analytics en el Acompañamiento Empresarial, Elementos clave del proceso de acompañamiento, Introducción al Coaching Empresarial, Impacto de preguntas estratégicas en el proceso de coaching
Impacto del liderazgo transformacional desde la Alta Dirección, Habilidades para la gestión del cambio, Introducción a la Gestión estratégica, Decisiones estratégicas, Posturas estratégicas, Liderazgo estratégico para el capital humano, Liderazgo de Alto Riesgo, Liderazgo estratégico en tiempos de crisis, La visión compartida y el cambio organizacional, Desarrollo de una Visión Compartida
Escenarios futuros para la Humanización Organizacional, Contexto VUCA, Consideración del contexto BANI en la gestión estratégica del talento humano, Resiliencia Organizacional, Gestión estratégica del futuro que inspira a la administración del presente, Entrenamiento del futuro para los líderes del presente, Liderazgo en las organizaciones que cambian de forma, Delegación y empoderamiento a distancia, Bienestar personal y colectivo
Encuesta, Muchas Felicidades
Course: Practice Exam for CompTIA ITF+ Certification
Modules:
Course Introduction, Exam-Taking Strategies
Instructions for the Practice Exam
Congratulations and Next Steps, Thanks from the Course Team, Cloud Exam Instructions
Course: O Empreendedorismo e as Competências do Empreendedor
Modules:
Introdução - Paulo Lemos - Parte 1, Introdução - Paulo Lemos - Parte 2​
Conhecimento - Paulo Lemos - Parte 1, Conhecimento - Paulo Lemos - Parte 2, Conhecimento - Empreendedores convidados - Parte 1, Conhecimento - Empreendedores convidados - Parte 2, Conhecimento - Conclusão - Paulo Lemos
Interação - Paulo Lemos - Parte 1, Interação - Paulo Lemos - Parte 2, Interação - Empreendedores convidados - Parte 1, Interação - Empreendedores convidados - Parte 2, Interação - Conclusão - Paulo Lemos
Inovação - Paulo Lemos - Parte 1, Inovação - Paulo Lemos - Parte 2, Inovação - Empreendedores convidados - Parte 1, Inovação - Empreendedores convidados - Parte 2, Inovação - Conclusão - Paulo Lemos
Tomada de decisão - Paulo Lemos - Parte 1, Tomada de decisão - Paulo Lemos - Parte 2, Tomada de decisão - Empreendedores convidados - Parte 1, Tomada de decisão - Empreendedores convidados - Parte 2, Tomada de decisão - Conclusão - Paulo Lemos
Gestão - Paulo Lemos - Parte 1, Gestão - Paulo Lemos - Parte 2, Gestão - Empreendedores convidados - Parte 1, Gestão - Empreendedores convidados - Parte 2, Gestão - Conclusão - Paulo Lemos
Crescimento - Paulo Lemos - Parte 1, Crescimento - Paulo Lemos - Parte 2, Crescimento - Empreendedores convidados - Parte 1, Crescimento - Empreendedores convidados - Parte 2, Crescimento - Conclusão - Paulo Lemos
Conclusão Final - Paulo Lemos
Course: Master of Advanced Study in Engineering Degree Preview
Modules:
MAS-E Degree Overview, Course Overview, Instructor Introduction, Prologue: Understanding the Climate Crisis, Urbanization, Air Quality, and Global Emissions, Extreme Events, Climate Equity and Environment Justice, Economic Opportunities
Course Overview, Meet Your Instructor, Historical Evolution of Flying Robots, Technological Innovations and Emerging Trends, Flying Robots: Applications and Relevance
Course Overview, Meet Your Instructor, Overview of Silicon Electronics, The First Integrated Circuit, Transistors, Planar Transistors, Planar FET vs. FinFET, Moore’s Law and Electronic Gadgets, Larger Wafers: Reducing the Cost of Production, Processor Performance Trends
Course: Analítica financiera​
Modules:
Introducción al curso, ¿Qué es la Analítica Financiera?, Los tipos de datos en finanzas, Tutorial: tipos de datos en finanzas
Las Series Financieras, Los componentes de las series de tiempo, Tutorial: Ejemplo Ajuste y Pronóstico a Serie Tiempo, Las redes neuronales en finanzas, Modelo Red Neuronal para problema de regresión
Introducción al M3: Riesgo y rendimiento de las Series, Ejercicio práctico Momentos en la series finacieras, La varianza como medida de riesgo y otras medidas de riesgo, Ejercicio práctico de relación entre el riesgo y el rendimiento de series
Qué son los modelos de volatilidad, Modelo Heterocedástica serie de rendimiento, Tipos de Riesgos Financiero, Tutorial VaR y CVaR, Promoción al puesto inteligencia financiera, Cierre
Course: Scrum Master Capstone
Modules:
Course Introduction, Review the Contents and Purpose of a Project Charter, Review a Product Roadmap, Case Study: Project Charter and Product Roadmap, Stacey Diagramming Method, Review a Working Agreement
User Story and Product Backlog Review, Product Vision, Risk Register and Relative Estimation, Velocity
Sprint Backlog and Kanban Boards, Sprint 1 Demo Review  Demo Purpose and Planning
Sprint 1 Retrospective Overview
Sprints 1 and 2 Analysis
Personal Portfolio Development, Resume and Job Search Tips
Course: Desarrollo del lado servidor: NodeJS, Express y MongoDB
Modules:
Universidad Austral, Bienvenida al curso, NodeJS, Express básico, Instalación GIT, Bitbucket, Desarrollando Express, Proyecto, MVC, API
Testing: Configuración de Jasmine, Testing de nuestro modelo, Testing de nuestro API, MongoDB: Persistencia: Configurando MongoDB, ODM: Utilizando Mongoose en nuestro proyecto
Agregando seguridad al modelo de usuarios, Incorporando tokens, Creando usuarios, Sesiones y cookies, Passport, Login, Vistas de Login y Rutas, Login y Logout, Autorización a rutas, Autenticación en API, Configurando JSON Web Token, Generando Tokens JWT
Heroku: Configuración inicial, MongoDB Atlas: configurando la cuenta en la nube, MongoDB: conexión con el servicio en tu ambiente local, Variables de ambiente, Configurando Sendgrid, Google OAuth Web Setup 1, Google OAuth Web Setup 2, Google OAuth Web Setup 3, Google OAuth Web Setup 4, Facebook OAuth, Monitoreo con NewRelic, Final del curso
Course: Leading People and Teams Capstone
Modules:
Introduction to Capstone Project
Wrap up and Congratulations
Course: Generative AI Architecture and Application Development
Modules:
Course Introduction, LLMs and Generative AI Project Lifecycle, LLM Lifecycle in Continuation, LLM Pre-Training and Scaling, LLM-Scaling, LLM-Scaling Techniques, Fine-Tuning LLMs with Specific Instructions, Demonstration on Fine Tuning, Reinforcement Learning from Human Response
Search Query Completion, Workings of Search Query Completion, Next Word Prediction, LINEAR + SOFTMAX, Next Word Prediction in Other Domains, Word Embeddings, Techniques for Word Embedding, Transformers, Working of Transformers, Generating Text, Working of Generating Text, Stacking Attention Layers, Creation of Stacking Attention Layers
Using LangChain to Develop LLM Applications, Core Concepts of LLM, Developing LLMs, Logic of LLM Application, Value Propositions of LangChain, Components of LangChain, Benefits of Components Based approach, Off-the-Shelf Chains in LangChain, Build and Deploy LLM-Powered Applications using LangChain, Design your LLM Workflow and other steps
Understanding Retrieval-Augmented Generation (RAG), Usage of Retrieval-Augmented Generation (RAG), Working of Retrieval-Augmented Generation (RAG), Benefits of Retrieval-Augmented Generation (RAG), Document Loading and Splitting, Working of LangChain, Working of LangChain in Continuation, Benefits of Document Loading and Splitting, Vector Stores and Embeddings, Types of Vector Stores, Working of Vectors, Retrieval, Technical Procedure Behind Retrieval, Question Answering with Chatbots, Building a Chatbot with LangChain And RAG, Building RAG Models using LangChain, Building RAG Models using LangChain in Continuation
LLM Performance Comparison, Key Aspects of LLM Performance Comparison, Perplexity, Core Principle Behind  Perplexity, How to calculate Perplexity, BLEU Score, Core Principle Behind BLEU Score, Human Evaluation, Limitations of Human Evaluation, Choosing the Right Metrics, Interpreting the Results, Key Aspects of Interpreting Results
Overview of Data Privacy, Understand the Role of Generative AI in Data Privacy, Privacy Challenges with Generative AI, Diving Deep into Privacy Compliance Law, Tips to Safeguard your Organization, Importance of Ethical and Legal Considerations, AI specific Laws and Governing Bodies, Gen AI Responsibility for Protecting Data
Course Summary
Course: Water Cooperation and Diplomacy
Modules:
MOOC trailer, Welcome to this MOOC, Definition of water diplomacy, Scales and actors of water diplomacy, Actors of water diplomacy, Challenges of water diplomacy processes, Conclusion of Module 1 - The concept of water diplomacy
Welcome to Module 2 - Causes and dynamics of water conflicts and cooperation, Challenges in cooperating over transboundary waters, Root causes of conflicts related to transboundary waters, The coexistence of conflict and cooperation, Case Study on the Tekezze-Atbara Basin, The role of women in transboundary water dispute resolution, Water conflict and cooperation from an international relations perspective, How do power relations impact conflict and cooperation around water resources?, Conclusion of Module 2 - Causes and dynamics of water conflicts and cooperation
Introduction to Module 3 -  Water diplomacy tools  and processes, What is Track I Water Diplomacy - An example from Southern Africa, Track I Water Diplomacy - An example from North Africa, What is Track II Water Diplomacy, What is Track III Water Diplomacy, Track III Water Diplomacy - An example from Western Africa, Multi-Track Water Diplomacy, Recap and structures of diplomacy processes, Skill building sessions - Introduction, Skill building No. 1 - Transforming water conflicts, Skill building No. 2 - Reframing, Skill building No. 3 - Identifying shared values, Conclusion of Module 3 - Water diplomacy tracks, tools and processes
Introduction to module 4 - Legal and institutional frameworks for water cooperation and diplomacy, An introduction to international water law  (IWL), Interview with UN-ECE Water Convention Secretariat, Challenges related to the implementation of IWL in transboundary water cooperation - A case study from Central Asia, Regimes of transboundary water cooperation and empirical illustrations, How do institutional architectures for transboundary water cooperation evolve?, Introducing tools for the comparison of various regional frameworks, Comparative analysis of different regional transboundary water cooperation frameworks, Conclusion of Module 4 - Legal and institutional frameworks of water cooperation and diplomacy
Introduction to Module 5 - The role of knowledge in water diplomacy, Data sharing and transboundary water cooperation, Case study - The Tuli Karoo, Different forms of knowledge - Introduction, Reflections of a gender advocate, Reflections of a social science researcher, Reflections of a data scientist, How media talks about water conflicts and cooperation, Conclusion of Module 5 - Knowledge and watere diplomacy, Farewell
Course: Learn CSS Flexbox
Modules:
Test your flexbox skills
Course: Introduction to Genetics and Evolution
Modules:
Welcome to the Course, Course App and Readings
What is Evolution? (G), Basic Principles and Evidence for Evolution (G), Acceptance of Evolution (G), Responding to Criticisms of Evolutionary Theory (G), Interview with Jerry Coyne (G)
Introduction to Genetics (G), Inheritance (G), Genetic Scales (S), Mitosis, Meiosis, and Ploidy (S), Basic Single-Gene Inheritance (G), X-Linked Inheritance and Independent Assortment (S)
Recombination (G), Calculation of Recombination Distance (S), Generating a Gene Map (S), Bonus Video: A More Challenging Problem (S), Genetic Mapping (S), Mapping Traits Relative to Markers in a Cross (S), Mapping Traits Relative to Markers in a Population (S)
Origin of Genetic Variation (G), Shortcomings of the Single Gene Model (G), Mutation Rates (S), Mapping Complex Traits (S), Complex Traits in Crosses (S), Genome-wide Association Studies (S)
Contribution of Genes vs. Environment I (G, S), Contribution of Genes vs. Environment II (S), Contribution of Genes vs. Environment III (S), Breeder's Equation (S), Population Growth (S), Carrying Capacity (S)
Allele and Genotype Frequencies (S), Hardy-Weinberg Equilibrium (S), Deviation from Hardy-Weinberg Equilibrium (S), Differences Between Populations:  Origins and Quantification (S), Differences Between Populations:  Effects of Gene Flow (S), Inbreeding (S)
Natural Selection Fundamentals (S), Types at Single Loci (S), Types Acting on Traits (S), Genetic Drift and Sampling Error (S), Sampling Error over Many Generations (S), Case Studies and Examples (G), Rate of Neutral Molecular Evolution (S)
Evolutionary Advantages of Sex (G), Recombination, Selective Sweeps, and Hitchhiking (S), Signatures of Natural Selection (S), Background Selection (S), Signatures of Natural Selection in Individual Genes (G,S), Searching for Natural Selection:  dN/dS (S), Searching for Natural Selection:  McDonald-Kreitman Test (S)
Optimality and Adaptive Feeding (G), Communication and Parental Care (G), Intro to Sexual Selection (G), Sexual Selection: Male Competition and Female Choice (G), Sexual Selection: Evolutionary Causes (S)
Keeping Species Separated (G), Speciation: Effects of Geography (S), Speciation: Genetic Control (S), Reading Evolutionary Trees (G), Generating Evolutionary Trees (S), Phylogenetic Comparative Method (S)
Applications of Evolutionary Insights (G), MISapplications of Evolutionary Insights (G)
Course: Life After COVID-19: Get Ready for our Post-Pandemic Future
Modules:
Welcome to the course!, Get into a post-pandemic mindset, Why you can trust the Institute for the Future's forecasts, The 4 patterns of change to watch, Pattern #1: Post-pandemic growth, Pattern #2: Post-pandemic constraint, Pattern #3: Post-pandemic collapse, Pattern #4: Post-pandemic transformation, How to make your first post-pandemic forecast, Week 1 review, and what’s next
Welcome back, and get ready to “ride the roller coaster”, Give yourself a future boost, The Deeper Disease (part 1), The Deeper Disease (part 2), The Risks Ahead, The First 5 Minutes of the Future (part 1 - HOW TO PLAY ), The First 5 Minutes of the Future (part 2 - SCENARIOS), Make your first plan for resilience, Week 2 review, and what’s next
Welcome back, and get ready to “think like a futurist”, 100 Ways Anything Could Be Different in the Future - part 1, 100 Ways Anything Could Be Different in the Future - part 2, Habit #1: Track driving forces, Habit #2: Collect signals of change, Habit #3: Challenge your assumptions, Week 3 review, and what’s next
Welcome back, and get oriented to IFTF’s Toolkit for Transformation, Tool #1 Patterns from the past, Tool #2 Innovations for the future, Tool #3 Actions for transformation, Your final project instructions, Congratulations! Let’s keep futuring together
Course: Pre-Calculus
Modules:
¡Bienvenidos y bienvenidas!
Conjuntos de números, Subconjuntos de números reales, Inecuaciones, El plano real, Distancias en el plano, Funciones reales, Representación gráfica de funciones, Dominio de una función, Imagen de una función, La función inversa, Transformaciones, Comportamiento de una función
La recta en el plano, Funciones lineales, Funciones cuadráticas, Ceros de funciones, Funciones polinomiales, Comportamiento de funciones polinomiales, Ceros de funciones polinomiales, Factorización de funciones polinomiales, Representación gráfica de funciones polinomiales
Funciones exponenciales y logarítmicas, Resolución de ecuaciones exponenciales, Conversión entre expresiones exponenciales y logarítmicas, Cálculo de expresiones logarítmicas, Cambio de base en expresiones logarítmicas, Aplicación de propiedades logarítmicas, Resolución de ecuaciones logarítmicas, Representación gráfica de funciones exponenciales y logarítmicas, Aplicaciones de las funciones exponenciales y logarítmicas
Funciones trigonométricas, Conversión entre grados y radianes, Ángulos coterminales y de referencia, Valores trigonométricos más comunes, Resolución de triángulos rectángulos, Verificación de identidades trigonométricas, Resolución de ecuaciones trigonométricas, Resolución de triángulos cualesquiera (parte I), Resolución de triángulos cualesquiera (parte II)
Tasa de variación de una función, Derivada de una función en un punto, La función derivada, Reglas de derivación, Cálculo de derivadas, Derivadas de funciones polinomiales, exponenciales, logarítmicas y trigonométricas, Intervalos de crecimiento y decrecimiento de una función, Máximos y mínimos de una función, Aplicaciones de la derivada
Función primitiva o antiderivada, Cálculo de primitivas de funciones elementales, Integración por cambio de variable, Integración por partes, Técnicas de integración, El problema del área limitada por una función, Integral definida, Aplicaciones de la integral al cálculo de áreas
Números complejos, Operaciones con números complejos (parte I), Operaciones con números complejos (parte II), Formas trigonométrica y polar de los números complejos, Producto y cociente de números complejos en forma polar, Potenciación de números complejos en forma polar, Radicación de números complejos en forma polar
Examen final
Course: Beer Quality: Freshness
Modules:
Meet Your Instructor: Charlie Bamforth, Introduction to Freshness, The Challenge of Flavor Instability, Part 1, The Challenge of Flavor Instability, Part 2, Flavor Changes That Can Occur in Beer
The Science of Flavor Change, Part 1, The Science of Flavor Change, Part 2, The Science of Flavor Change, Part 3, The Science of Flavor Change, Part 4
Assessing Flavor Instability by Taste and Smell, Analytical Approaches to the Study of Flavor Instability, Process Impacts on Flavor Instability, Part 1, Process Impacts on Flavor Instability, Part 2
The Critical Control Points to Achieve Flavor Stability, Light Instability
Course: Gemini for Data Scientists and Analysts - Español
Modules:
Presentamos a Gemini para profesionales de los datos, Cómo analizar datos con Gemini, Cómo diseñar un modelo conectado de LLM con Gemini
Course: Planificación y gestión estratégica para Pymes
Modules:
Video de bienvenida
Planificación estratégica para pequeñas y medianas empresas, Elementos de una planificación estratégica (Parte 1), Elementos de una planificación estratégica (Parte 2), Elementos de una planificación estratégica (Parte 3), Elementos de una planificación estratégica (Parte 4)
¿Qué es el modelo de negocios de una empresa?, El Canvas del modelo de negocios, Los bloques de construcción del Canvas, Cómo se aplica en una empresa, ¿Y, ahora cómo sigo? Consejos para usar Canvas en mi organización
Creación y medición de valor, Contabilidad e información financiera, Principales estados financieros, Principales razones financieras, Flujos de caja y presupuestos
Qué está ocurriendo en el entorno que afecta la gestión de clientes, Cómo obtener información sobre necesidades de clientes, Segmentación de clientes: una herramienta estratégica, Cómo gestionar los clientes estratégicos de la empresa, Propuesta de valor: qué es y cómo comunicarla
Course: Global Financial Markets and Instruments
Modules:
Introduction and welcome to the class, Meet the Professor!, What is the investment management process?, Back to basics (Part 1.1): What is time value of money?, Back to Basics (Part 1.2): Finding the future value of a cash flow, Back to Basics (Part 1.3): Finding the present value of a cash flow, Back to basics (Part 2.1):  What are annuities?, Back to basics (Part 2.2): Annuities example: Retirement problem, Back to basics (Part 2.3): Finding the present value of annuities, Back to basics (Part 2.4): Annuities Example: Loan Problem, Back to basics (Part 3.1): Computing the effective annual interest rate, Back to basics (Part 3.2): Computing an effective rate over any period, Back to basics (Part 3.3): Examples, examples, and more examples, Back to basics (Part 3.4): Computing continuously compounded rates, Back to basics (Part 4.1): Valuing perpetuities and growing perpetuities, Back to basics (Part 4.2): Valuing growing annuities, Using elementary finance tools – Summary
Introduction: The role of financial markets as a time machine, A primer on financial assets, Basics of bond valuation - Part 1, Basics of Bond Valuation Part 2, Money market instruments, Calculating U.S. Treasury bill prices, U.S Treasury securities, Other long-term debt instruments, Summing up fixed income securities
Equity Securities, Basics of equity valuation, Derivative securities: Overview, Derivative Securities: Options, Derivative securities: Futures and forward contracts, Traditional vs. alternative asset classes, Summing Up equities and derivatives
Overview – Market structure: where rubber meets the road, Major players in financial markets, Primary and secondary markets, Types of order, Margin transactions, Short sales, New trends in securities trading, Summary
Course: Proje Yönetiminin Temelleri
Modules:
Google Proje Yönetimi Sertifika Programı’na hoş geldiniz, 1. Kursa Giriş, Proje yönetimi nedir?, Proje yöneticisi ne iş yapar?, Aktarılabilir proje yönetimi becerileri, Proje yöneticiliğine giden yol, Sertifikadan başarılı bir kariyere uzanan süreç, Mükemmel pozisyonu bulmak, Gilbert: Çalıştığım pozisyonda kullandığım proje yönetimi becerileri, Özet
Giriş: etkili bir proje yöneticisi olmak, Proje yöneticisinin değeri, JuAnne: Proje yöneticiliğine giden yol, Proje yöneticisinin üstlendiği temel roller ve sorumluluklar, Proje yöneticisinin ekip içindeki rolü, Elita: proje yöneticisinin hayatında bir gün, Proje yöneticisinin temel becerileri, Rachel: beni proje yöneticiliğine taşıyan yolculuk, Liderlik ve ekip dinamikleri, Ellen: Başarılı bir proje yöneticisinin özellikleri, Özet
Giriş: proje yönetimi yaşam döngüsü ve metodolojileri, Proje yaşam döngüsünün aşamalarını incelemek, Proje aşamalarda yapılacaklar: başlatma ve planlama, Proje aşamalarda yapılacaklar: yürütme ve kapatma, Proje yönetimi metodolojilerine giriş, Şelale ve Çevik Yaklaşımlarına Genel Bakış, Yalın ve Altı Sigma'ya Giriş, Özet
Giriş: Kurumsal yapı ve kültür, Klasik yapıya ve Matris yapısına genel bakış, Kurumsal yapı proje yönetimini nasıl etkiler, Lan: Bir Proje Yönetimi Ofisinde Çalışmak, Kurumsal kültüre giriş, Amar: Hayatta ve kurum içinde proje yönetimi, Değişim yönetimine giriş, Değişim yönetimine katılma, İş aramaya hazırlanma, Tebrikler! 2. Kursta sizi neler bekliyor?
Course: Drug Development
Modules:
Welcome!
Regulatory Considerations When Filing an Investigational New Drug Application I, Regulatory Considerations When Filing an Investigational New Drug Application II, Regulatory Considerations When Filing an Investigational New Drug Application III, Regulatory Considerations When Filing an Investigational New Drug Application IV, Regulatory Considerations When Filing an Investigational New Drug Application V
Clinical Study & Start-up Activities I, Clinical Study & Start-up Activities II, Clinical Study & Start-up Activities III, Clinical Study & Start-up Activities IV, Clinical Study & Start-up Activities V
Clinical Trials: Phase 1 Part I, Clinical Trials: Phase 1 Part II, Clinical Trials: Phase 1 Part III, Clinical Trials: Phase 1 Part IV, Clinical Trials: Phase 1 Part V
Clinical Trials: Phase 2 Part I, Clinical Trials: Phase 2 Part II, Clinical Trials: Phase 2 Part III, Clinical Trials: Phase 2 Part IV, Clinical Trials: Phase 2 Part IV
Industry Considerations with Phase III Clinical Trials I, Industry Considerations with Phase III Clinical Trials II, Industry Considerations with Phase III Clinical Trials III, Industry Considerations with Phase III Clinical Trials IV, Industry Considerations with Phase III Clinical Trials V
New Drug Application, Filing, Product Labeling I, New Drug Application, Filing, Product Labeling II, New Drug Application, Filing, Product Labeling III, New Drug Application, Filing, Product Labeling IV, New Drug Application, Filing, Product Labeling V, New Drug Application, Filing, Product Labeling VI
Course: Case studies in business analytics with ACCENTURE
Modules:
Introduction to Case Studies in Business Analytics with Accenture - Fabrice Marque, Market trends and key challenges in Analytics - Mickael Svilar, Why is Big Data really big? - Nicolas Glady, Winning in Digital: Powered by Analytics - Jean-Pierre Bokobza, Big data & predictive maintenance in the Utilities sector - Rohit Banerji, Big data & advanced analytics in the Communications industry - Cian O’Hare, Advanced Analytics in the Public Service - Christopher Gray, Wrap-up: a conceptual framework of the applications of Big Data Analytics - Nicolas Glady
Context - Christine Removille, Solution and success factors - Christine Removille, Introduction and key digital trends in Financial Services, Analytics capability based on “People like you", How to leverage “People like you” micro-segmentation - Example 1 – Increase campaign yield, How to leverage “People like you” micro-segmentation - Example 2 – Optimize pricing, Digital transformation and wrap-up
Healthcare analytics: a conceptual framework - Nicolas Glady, Introduction and key challenges - Paul Pierotti, Correlation between life expectancy and health spending - Paul Pierotti, Presentation of 5 Health Analytics use cases - Paul Pierotti, Focus on Care Management for patients with chronic diseases - Paul Pierotti, Wrap up - Paul Pierotti, Advanced Analytics in the Pharmaceutical industry - Xavier Cimino, How to create value from data? - Fabrice Marque, Wrap up  - Mickael Svilar, Data exploration is an iterative process - Nicolas Glady, Analytics exploration - Oonagh O’Shea & Noelle Doody, Wrap up & Capstone guidelines  - Nicolas Glady
Course: Data Storytelling
Modules:
Course Introduction, Introduction to Data-Storytelling, Key Elements of a Good Data Story, Characteristics of a Good Data Story, Relevance of Data Storytelling in Present and Future Times
Role of Data in Data Storytelling, Is Your Data Relevant?, Data Quality, Data Cleaning, Summarizing the Role of Data in Storytelling
An Introduction to Data Visualization, Selecting Right Visualization for Your Data, Common Design Principles for effective Visualizations, Use of Colors in Graphs, Cognitive Load in Visualization Design, Interactivity in Data Visualization, Summarizing Common Principles for Creating Compelling Data Visualizations
What Makes a Compelling Narrative, Selecting a Narrative, A Data Story, From Narrative to Story, Presenting Your Data Story, Ethical Considerations in Data Storytelling, Summarizing Key Considerations for an Engaging Data Narrative, Expert Talk - The Journey from Data to Insights
Course: Python Basics: Retrieving Online Data
Modules:
Course Introduction, Getting Coding Help, Demo: Wikipedia Walkthrough
Feeling Worthy to Code, Introduction, Types of Data in Python, String Length, Combining Strings Usefully, Comparing Things, Comparison is Different from Assignment, Bringing it all Together
Introduction, Retrieving Things from Inside a List, Types of List Errors, List Slicing, Changing and Growing Lists, The Empty List, Thinking of Strings as Lists, Transforming Lists, Bringing it all Together
Course Summary, Demo: Spotify API Walkthrough
Course: Gemini in Gmail - 日本語版
Modules:
Gmail の Gemini の概要, Gemini を使用したメールの下書き, プロンプトとドラフトの改良, アクティビティについての説明
Course: The Power of Markets III: Input Markets and Promoting Efficiency
Modules:
Intertemporal Price Discrimination and Peak-Load Pricing, Two-Part Tariffs, Monopolistic Competition, Oligopoly and the Cournot Model, The Dominant Firm Model, Cartels and Collusion, OPEC, Game Theory, Prisoner’s Dilemma, Repeated Games
Asymmetric Information, Adverse Selection and Moral Hazard, Limited Price Information and Advertising, The Size of the Deadweight Loss of Monopoly, Do Monopolies Suppress Innovations?, Natural Monopoly, More on Game Theory: Iterated Dominance and Commitment, The Input Demand Curve of a Competitive Firm, Industry and Market Demand Curves for an Input
The Supply of Inputs, Industry Determination of the Price and Employment of Inputs, Input Price Determination in a Multi-Industry Market, Input Demand and Employment by an Output Market Monopoly, Monopsony in Input Markets, The Income-Leisure Choice of the Worker, The Supply of Hours of Work, The General Level of Wage Rates and Why Wages Differ, Economic Rent, Monopoly Power in Input Markets: Unions
The Minimum Wage, Who Really Pays for Social Security?, The NCAA Cartel, The Benefits and Costs of Immigration, Three Conditions for Economic Efficiency, Reasons for Government Intervention, Externalities and Public Goods, Externalities, Externalities and Property Rights, Controlling Pollution, Revisited
Course: Alimentación y dietética para una vuelta al mundo a vela
Modules:
Presentación del curso, 1.1 Adaptación fisiológica al ejercicio: el proceso del entrenamiento, equilibrio fatiga-recuperación., 1.2 Metabolismo y reservas energéticas
2.1 Asesoramiento nutricional, 2.2 El gasto energético en vela oceánica, 2.3 Valoración física de los navegantes
3.1 Criterios para la confección de la dieta, 3.2 Pirámide alimentaria: raciones y frecuencia de consumo, 3.3 Dieta de entrenamiento
4.1 Alimentarse para navegar, 4.1.1 La experiencia de los navegantes, 4.2 Hidratación, 4.3 Sistemas de control de la dieta, 4.4 Suplementos
5.1 Introducción a los alimentos en la navegación, 5.2.1 La comida a bordo en la navegación oceánica del el siglo XVI, 5.2.2 Clases de alimentos y bebidas, 5.2.3 El menú de los antiguos marinos, 5.2.4 La revolución tecnológica del siglo XIX y la navegación, 5.2.5 Víctor Sagi, la experiencia de la OSTAR de 1980, 5.3 Los requerimientos específicos de la alimentación a bordo de un IMOCA 60 en la Barcelona World Race, 5.4 Los alimentos liofilizados, 5.5 El proceso de liofilización, 5.6 La experiencia de los skippers, 5.7 Productos cocinados y procesos desarrollados para la vela oceánica, 5.7.1 Un nuevo proyecto gastronómico: la propuesta del restaurante Les Cols para la Barcelona World Race., 5.7.2 Un nuevo proyecto gastronómico: la propuesta del Celler de Can Roca, 5.7.3 La contribución de los skippers de la Barcelona World Race, 5.7.4 Los platos preparados por el restaurante Les Cols y otros liofilizados durante la Barcelona World Race 2014/15
Course: Fundamentos do marketing digital e do e-commerce
Modules:
Bem-vindo ao certificado de marketing digital e e-commerce do Google, Introdução ao curso 1, O que são marketing digital e e-commerce?, O que fazem os especialistas em marketing digital e e-commerce?, Plano de carreira em marketing digital, por Joi, Habilidades transferíveis para marketing digital e e-commerce, Meu caminho para trabalhar em marketing digital, por Prisha, Meu caminho para trabalhar em e-commerce, por Melba, Meu caminho para trabalhar em marketing digital e e-commerce, por Andrew, Como iniciar sua carreira de marketing digital ou e-commerce, Comparação entre as funções de agência e as funções internas, Um dia na vida de um profissional iniciante de marketing digital, por Zuri, Um dia na vida de um gerente iniciante de contas de e-commerce, por Jebb, Encerramento
Boas-vindas à semana 2, Como o marketing digital e o e-commerce criam valor, Diversidade no marketing digital, por Jen, Marketing inclusivo, por Janice, Marketing inclusivo, por Xiomara, A jornada do cliente e os mapas da jornada, O funil de marketing, O topo do funil: conscientização e consideração, Como medir o sucesso de uma estratégia de topo do funil, O fundo do funil: conversão e fidelidade, Como medir o sucesso no fundo do funil, Conclusão
Boas-vindas à semana 3, O valor das marcas para o marketing digital, Os elementos de uma estratégia de marketing digital, Defina suas metas de marketing, Mídia paga, própria e mídia espontânea/conquistada, Atraia clientes com a otimização para mecanismos de busca (SEO), Alcance clientes com o marketing para mecanismos de busca, Introdução às mídias sociais e e-mail marketing, Noções básicas do marketing nas mídias sociais, Construa relacionamentos com o email marketing, Encerramento
Boas-vindas à semana 4, Avaliação do progresso com o marketing de performance, Como trabalhar com dados, Modelos de atribuição para marketing digital, Fundamentos da narrativa de dados, Prepare-se para sua busca de emprego, Desenvolva a confiança, por Elle, Conclusão, Parabéns! What’s coming in Course 2
Course: Building and Training Neural Networks with PyTorch
Modules:
Section Overview, Classification Types (101), Confusion Matrix (101), ROC Curve (101), Multi-Class 1: Data Prep, Multi-Class 2: Dataset Class (Exercise), Multi-Class 3: Dataset Class (Solution), Multi-Class 4: Network Class (Exercise), Multi-Class 5: Network Class (Solution), Multi-Class 6: Loss, Optimizer, and Hyperparameters, Multi-Class 7: Training Loop, Multi-Class 8: Model Evaluation, Multi-Class 9: Naive Classifier, Multi-Class 10: Summary, Multi-Label (Exercise), Multi-Label (Solution)
Section Overview, CNNs (101), CNN (Interactive), Image Preprocessing (101), Image Preprocessing (Coding), Binary Image Classification (101), Binary Image Classification (Coding), Multi-Class Image Classification (Exercise), Multi-Class Image Classification (Solution), Layer Calculations (101), Layer Calculations (Coding)
Audio Classification (101), Audio Classification (Exercise), Audio Classification (Exploratory Data Analysis), Audio Classification (Data Prep-Solution), Audio Classification (Model-Solution)
Section Overview, Accuracy Metrics (101), Object Detection (101), Object Detection with detecto (Coding), Training a Model on GPU for Free (Coding), YOLO (101), Labeling Formats, YOLOv7 Project (101), YOLOv7 Coding: Setup, YOLOv7 Coding: Data Prep, YOLOv7 Coding: Model Training, YOLOv7 Coding: Model Inference, YOLOv8 Coding: Model Training and Inference
Section Overview, Style Transfer (101), Style Transfer (Coding)
Section Overview, Transfer Learning and Pre-Trained Networks (101), Transfer Learning (Coding)
Section Overview, RNN (101), LSTM (Coding), LSTM (Exercise)
Course: Gemini in Google Slides - 简体中文
Modules:
Google 幻灯片中的 Gemini 简介, 使用 Gemini 生成图像, 为您的图像选择样式, 活动介绍
Course: Responsible AI for Developers: Interpretability & Transparency - 日本語版
Modules:
コース概要
解釈可能性と透明性の概要, 解釈可能性手法の概要, 特徴ベースの説明:  モデル非依存, 特徴ベースの説明:  モデル依存, コンセプトベースおよびサンプルベースの説明, 解釈可能性に関するツール, データとモデルの透明性, ラボ: Vertex Explainable AI, Coursera: Google Cloud Platform と Qwiklabs を使って開始する
コースのまとめ
モジュール 0:  コース概要, モジュール 1: AI の解釈可能性と透明性, モジュール 2: コースのまとめ
Course: Scaling with Google Cloud Operations - Français
Modules:
Présentation du cours
Introduction, Principes de base de la gouvernance financière dans le cloud, Bonnes pratiques de gouvernance financière dans le cloud, Utiliser la hiérarchie des ressources pour contrôler les accès, Gérer la consommation cloud
Introduction, Principes de base de la fiabilité cloud, Concevoir une infrastructure et des processus résilients, Moderniser les opérations avec Google Cloud, Google Cloud Customer Care, Cycle de vie d'une demande d'assistance
Google Cloud et le développement durable
Résumé du cours
Course: Introduction to Imagemaking
Modules:
Course Welcome, Why Peer Review?, Peer Review Tips, How to apply feedback, Practice, What Images Do, Considering the Book (in a graphic design context)
Making Methods and Techniques, Denotation & Connotation, Range of Representation
Composition is Relational, About Hierarchy, Scale, Space, Composition: Figure/Ground (from Introduction to Imagemaking), Narrative, Simple Composition: Creating Page Spreads
Bookishness, Complex Composition: Putting your book together, Lazy Mom: Lazy Wow, Katharina Pierini/Sming Sming Books: Night Moves, Laura Owens: Hey What, Laura Owens: New Work, Bruno Munari: A Tale of Three Little Birds, Two simple bookbinding techniques
Course: Spatial Data Science and Applications
Modules:
Introduction to the course, 1.1 Introduction to Spatial Data Science, 1.2 Why is Spatial Special?  (I) - A Business Perspective, 1.3 Why is Spatial Special? (II) - A Technical Perspective, 1.4 Why is Spatial Special? (III) - A Data Perspective
Four Disciplines for Spatial Data Science and Applications, Open Source Software's, Spatial Data Science Problems, Spatial Data vs. Spatial Big Data
Five Layers of GIS, Spatial Reference Framework, Spatial Data Models, Spatial Data Acquisition, Spatial Data Analysis, Geo-visualization and Information Delivery
Database Management System (DBMS), Spatial Database Management System (SDBMS), Big Data System – MapReduce, Big Data System – Hadoop, Hadoop Ecosystem, Spatial Big Data Systems
Spatial Data Analytics, Proximity and Accessibility, Spatial Autocorrelation, Spatial Interpolation, Spatial Categorization, Hotspot Analysis, Network Analysis
Desktop GIS - Finding Optimal Counties for Timber Investment, Server GIS - An Integration of Municipal Spatial Databases, Spatial Data Analytics I - Influential Variables of Regional Disease Prevalence Rate, Spatial Data Analytics II - Military Infiltration Route Analysis, Spatial Big Data Management and Analytics - Taxi Trajectory Analysis for Finding Pick-up Hotspots