dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Accounting Analysis I: Measurement and Disclosure of Assets
Modules:
Meet Your Instructor: Gerlando Lima, PhD, The Impact of the Gies Community
Introduction to Cash & Accounts Receivable, Cash and Cash Equivalents, Internal Controls, and Cash Restriction/Discounts, Receivables, Uncollectable Receivables and Bad Debt Expense Estimation Methods, Notes Receivable and Receivables Financing and Management, Bank Reconciliations, U.S. GAAP x IFRS, Wrap-Up to Cash & Accounts Receivable
Introduction to Inventory - Measurement, Types of Inventory Systems and Costs Included, Inventory Costing Methods and Factors Influencing Choice, Inventory Ratio Analysis and Methods of Simplifying LIFO, Wrap-Up to Inventory - Measurement
Introduction to Inventory Additional Issues, Inventory Estimation Methods, Cost Flow Methods, Changes in Inventory Methods and Errors in Inventory, Subsequent Measure of Inventory, USGAAP x IFRS, Wrap-Up to Inventory - Additional Issues
Introduction to PP&E and Intangible Assets: Acquisition, Recognition and Measurement, Lump-Sum Purchases, Non-Cash Acquisition and Exchanges, Self-Constructed Assets, Research and Development, Wrap-Up to PP&E and Intangible Assets: Acquisition
Introduction to PP&E and Intangibles - Utilization & Impairment, Depreciation, Depletion, and Amortization, Change in Estimates, Errors, and Impairment, Subsequent Expenditures, USGAAP x IFRS, Wrap-Up to PP&E and Intangibles - Utilization & Impairment
Introduction to Debt Investments, Concepts, Characteristics, and Classifications, Identifying and Classifying Debt Investments, USGAAP x IFRS, Wrap-Up to Debt Investments
Introduction to Equity Investments, Equity Investments Concepts, Characteristics, and Classifications, Measuring and Reporting Equity Investments, USGAAP x IFRS, Module 7 Wrap-Up
Gies Online Programs, Learn on Your Terms
Course: Gestión de organizaciones efectivas
Modules:
Video de bienvenida
1.1 Introducción: Lo único constante es el cambio, 1.2 Visión sistemática del contexto organizacional, 1.3 Teoría del caos y sus consecuencias organizacionales, 1.4 Patrones de cambio organizacional, Síntesis del módulo 1
2.1 El entorno tecnológico y su impacto organizacional, 2.2 Evolución y trayectorias tecnológicas, 2.3 Dinámicas de la Innovación, 2.4 El Proceso de Disrupción Tecnológica, 2.5 Disrupciones Arquitectónicas, Síntesis del Módulo 2
3.1 Introducción: Las distintas formas de conceptualizar la estrategia, 3.2 Definiciones Básicas de Estrategia, 3.3 Diseño Estratégico, 3.4 Planificación Estratégica, 3.5 Posicionamiento Estratégico, 3.6 Recursos Estratégicos, Síntesis del Módulo 3
4.1 Introducción y Contenidos del Módulo, 4.2 Elementos Básicos del Diseño Organizacional, 4.3 Diseño de Organizaciones Emprendedoras, 4.4 Diseño de Organizaciones Maquinistas, 4.5 Diseño de Organizaciones Profesionales, 4.6 Diseño de Organizaciones Diversificadas, 4.7 Diseño de Organizaciones Innovadoras (i.e. Adhocráticas), 4.8 Diseño de Organizaciones Culturales (i.e. ideológicas), 4.9 Diseño de Organizaciones Políticas, 4.10 Evolución de las Estructuras Organizacionales, Síntesis del Módulo 4
5.1 Introducción, 5.2 Características del Conocimiento Organizacional, 5.3 Rutinas Organizacionales: Creación, Transferencia y Modificación, 5.4 Trampas de Aprendizaje y Desadaptación Organizacional, 5.5 Amnesia y Olvido Organizacional, Síntesis del módulo 5
6.1 Introducción y Contenidos del Módulo, 6.2 Poder y Procesos Políticos - ¿Para Qué?, 6.3 Atributos del Poder Organizacional, 6.4 Bases del Poder Social, 6.5 Poder y Obediencia, Síntesis del módulo 6
Course: Fundamentos de Excel para Negocios
Modules:
Universidad Austral, Apertura del Módulo, El Menú y la Cinta de opciones, Celdas, Filas y Columnas, La Barra de acceso rápido. El Uso del mouse. Las Preferencias del teclado., Ejercitación resuelta, Conclusiones del Módulo 1
Introducción al Módulo 2, Ingreso de datos. Celdas, rangos, nombres de celdas. Autocompletar, Formatos básicos de las celdas*, Estructura de las funciones, Ejercitación resuelta, Conclusiones del Módulo 2
Introducción al Módulo 3, Opciones de copiado: simple, transpuesta, funciones, valores, Referencias absolutas y relativas, Mover celdas. Implicaciones, Ejercitación resuelta, Conclusiones del Módulo 3
Introducción al Módulo 4, Ordenar información. Múltiples criterios, Filtros automáticos. Uso de diferentes criterios, Combinación de funciones y filtros. Filtros avanzados, Fijación de columnas y filas, Ejercitación resuelta, Conclusiones del Módulo 4
Introducción al Módulo 5, Funciones matemáticas y estadísticas*, Funciones financieras y de fecha*, Funciones de texto*, Funciones de búsqueda, Ejercitación resuelta, Conclusiones del Módulo 5
Introducción al Módulo 6, Tipos de gráficos. Selección de los datos, Elementos de los gráficos, Opciones de gráficos, Ejercitación resuelta, Conclusiones del Módulo 6
Introducción al Módulo 7, Funciones de búsqueda y configuraciones de la impresión*, Opciones de impresión: bordes, títulos, cantidad de páginas*, Ejercitación resuelta, Conclusiones del Módulo 7
Introducción al Módulo 8, Trabajar con fechas, horas y minutos, Trabajar con textos, Concatenar textos y números, Ejercitación resuelta, Conclusiones del Módulo 8
Course: Data Mining Pipeline
Modules:
Meet Your Instructor!, Preparing for this Specialization, Data Mining: Four Views, Data View and Application View, Knowledge View and Technique View, Data Mining Pipeline, Data Mining Examples, Data Mining: Major Issues, Ethics, Resources
Data Objects, Attributes, Statistics, Data Visualization, Similarity for Normal and Binary Attributes, Similarity for Ordinal, Numeric, Mixed Attributes, Data Similarity Case Study, Example: Air Quality Sensing Data
Data Quality Issues and Causes, Data Cleaning, Data Integration, Correlation Analysis, Data Normalization, Discretization, Attribute Selection, Dimensionality/Numerosity Reduction
Data Warehousing, OLTP vs. OLAP, Data Warehouse, Data Cube, Data Cube Computation, Data Warehouse Architecture
Course: Work with Gemini Models in BigQuery - 简体中文
Modules:
CRM 应用场景：社交媒体情感分析, 在 BigQuery 中使用 AI/机器学习模型, Gemini 的实际应用：使用 SQL 分析顾客评价, Coursera：Google Cloud Platform 和 Qwiklabs 使用入门, Gemini 的实际应用：使用 Python 笔记本分析顾客评价
Course: Introducción a la inteligencia artificial contemporánea
Modules:
¿Qué es la IA?, Introducción al aprendizaje automático a partir de datos
Bienvenida: ¿Qué es la ética de la IA?, Retos: Seis zonas de riesgo, Retos: Caso de Estudio: Reconocimiento facial, Retos: Caso de Estudio: Reconocimiento facial, Retos: Implicaciones sociales, Oportunidades: ¿Qué es un algoritmo justo?, Oportunidades: Transparencia algorítmica, Oportunidades: Derecho a una explicación, Soluciones: Marcos éticos y regulatorios de la IA
Introducción a la visión por computador, Historia de la visión por computador, La revolución del aprendizaje profundo, La visión por computador en nuestro día a día
Introducción al Procesamiento de Lenguaje Natural, ¿Por qué el entendimiento del lenguaje es una tarea compleja?, Principales tareas abordadas en PLN, Enfoques para el desarrollo de soluciones de PLN: Basado en reglas (clásico) vs Basado en datos (aprendizaje de máquina)
Bienvenida y presentación Sistemas Embebidos, Consideraciones para implementar estrategias de IA sobre plataformas embebidas, Plataformas embebidas: hardware específico para implementar estrategias de IA, Frameworks para implementar aplicaciones de ML sobre plataformas embebidas, Actividad práctica con SDK Edge Impulse Parte 1, Actividad práctica con SDK Edge Impulse Parte 2, Cierre del módulo
Bienvenida y presentación, Administración del conocimiento, Representación del conocimiento, Ontologías, Lenguajes de representación RDF y RDFS, Introducción a grafos de conocimiento y datos hilados
Presentación del módulo, Ejemplos motivadores, Qué es un sistema, Qué es control, Qué entendemos por control inteligente de sistemas, Estrategias de control inteligente de sistemas, Ejemplo interactivo de sistemas multiagente, Explicación instalación y manejo del software, Cierre del módulo
Presentación del módulo, Teoría de aprendizaje por refuerzo, Componentes de aprendizaje por refuerzo, Videojuegos, Ciudades inteligentes, Cierre del módulo
Course: Functional Program Design in Scala
Modules:
Introduction, Week 1 Introduction, Recap: Functions and Pattern Matching, Lecture 1.1 - Queries with For, Lecture 1.2 - Translation of For, Lecture 1.3 - Functional Random Generators, Lecture 1.4 - Monads, Lecture 1.5 - Exceptional Monads
Week 2 Intrduction, Lecture 2.1 - Structural Induction on Trees, Lecture 2.2 - Lazy Lists, Lecture 2.3 - Lazy Evaluation, Lecture 2.4 - Computing with Infinite Sequences, Lecture 2.5 - Case Study: the Water Pouring Problem
Week 3 Introduction, Lecture 3.1 - Contextual abstractions, Lecture 3.2 - Using clauses and given instances, Lecture 3.3 - Type classes, Lecture 3.4 - Abstract algebra and type classes, Lecture 3.5 - Context passing, Lecture 3.6 - Implicit function types
Week 4 Introduction, Lecture 4.1 - Functions and State, Lecture 4.2 - Identity and Change, Lecture 4.3 - Loops, Lecture 4.4 - Extended Example: Discrete Event Simulation
Week 5 Introduction, Lecture 5.1 - Imperative Event Handling: The Observer Pattern, Lecture 5.2 - Functional Reactive Programming, Lecture 5.3 - A Simple FRP Implementation, Conclusion, Conclusion
Course: UX-Forschung Durchführen und Erste Konzepte Testen
Modules:
Einführung in Kurs 4: UX-Forschung durchführen und erste Konzepte testen, Sam – Arbeitet als autodidaktischer UX-Forschender, Jason – Mein Weg zum UX-Design, Den UX-Forschungsprozess verstehen, Die sieben Elemente eines Forschungsplans kennenlernen, Beginnen Sie mit der Erstellung eines Forschungsplans: Projekthintergrund, Forschungsziele und Forschungsfragen, Die Erstellung eines Forschungsplans fortsetzen: Leistungsindikatoren, Die Erstellung eines Forschungsplans fortsetzen: Methodik, Die Erstellung eines Forschungsplans fortsetzen: Teilnehmende, Die Erstellung eines Forschungsplans abschließen: Skript, Datenschutz zu einem Teil der UX-Praktiken machen, Datenschutzprobleme verstehen, Vanessa – Ethik, Privatsphäre und Daten in der Praxis, Zusammenfassung: Planung von UX-Forschungsstudien
Willkommen bei Woche 2, Einführung in Usability-Studien, Moderierte und unmoderierte Usability-Studien durchführen, Einführung in eine simulierte unmoderierte Usability-Studie, Teilnehmende Person A – simulierte Usability-Studie, Teilnehmende Person B – simulierte Usability-Studie, Teilnehmende Person C – simulierte Usability-Studie, Teilnehmende Person D – simulierte Usability-Studie, Teilnehmende Person E – simulierte Usability-Studie, Best Practices für Usability-Studien erkunden: Vor Beginn der Studie, Best Practices für Usability-Studien erkunden: Während der Studie, Deana – Mein Job als UX-Forschende, Voreingenommenheiten bei der Durchführung von Interviews mit Teilnehmenden der Usability-Studie identifizieren, Voreingenommenheit in Interviews reduzieren, Einführung in die Methoden zum Erstellen von Notizen bei Usability-Studien, Eine Tabelle zum Festhalten von Notizen verwenden, Chikezie – Mein Weg zum UX-Design, Zusammenfassung: Forschung mit Usability-Studien durchführen
Von der Beobachtung zur Erkenntnis, Fallstudie: Designverbesserungen bei Google, Erkenntnisse entwickeln, Daten sammeln und organisieren, Muster und Themen in Forschungsdaten, Merkmale solider Erkenntnisse, Utkarsh – Erkenntnisse aus Usability-Studien gewinnen, Zusammenfassung: Forschungsergebnisse analysieren und zusammenführen
Die zu teilenden Erkenntnisse organisieren, Ein Format für das Teilen der Erkenntnisse auswählen, Eine starke Präsentation erstellen, Präsentationstipps, Heather - Deliver research insights, Designs basierend auf Forschungserkenntnissen ändern, Designs basierend auf Forschungserkenntnissen ändern – Demo, Zusammenfassung Forschungserkenntnisse zur Designverbesserung teilen, Herzlichen Glückwunsch zum Abschluss von Kurs 4: UX-Forschung durchführen und erste Konzepte testen
Course: Recommender Systems with Machine Learning
Modules:
AI Sciences Introduction, Instructor Introduction, Overview of Recommender Systems, Fundamentals of Recommender Systems, Project Overview
Recommender Systems Overview, Introduction to Recommender Systems, Recommender Systems Process and Goals, Generations of Recommender Systems, Nexus of AI and Recommender Systems, Applications and Real-World Challenges, Quiz, Quiz Solution
Section Overview, Taxonomy of Recommender Systems, ICM, User Rating Matrix, Quality of Recommender Systems, Online Evaluation Techniques, Offline Evaluation Techniques, Data Partitioning, Important Parameters, Error Metric Computation, Content-Based Filtering, Collaborative Filtering and User-Based Collaborative Filtering, Item Model and Memory-Based Collaborative Filtering, Quiz, Quiz Solution
Overview, Benefits of Machine Learning, Guidelines for ML, Design Approaches for ML, Content-Based Filtering, Data Preparation for Content-Based Filtering, Data Manipulation for Content-Based Filtering, Exploring Genres in Content-Based Filtering, tf-idf (Term Frequency-Inverse Document Frequency) Matrix, Recommendation Engine, Making Recommendations, Item-Based Collaborative Filtering, Item-Based Filtering Data Preparation, Age Distribution for Users, Collaborative Filtering Using KNN, Geographic Filtering, KNN Implementation, Making Recommendations with Collaborative Filtering, User-Based Collaborative Filtering, Quiz, Quiz Solution
Project Introduction, Dataset Usage, Missing Values, Exploring Genres, Occurrence Count, tf-idf (Term Frequency-Inverse Document Frequency) Implementation, Similarity Index, FuzzyWuzzy Implementation, Find the Closest Title, Making Recommendations
Project Introduction, Dataset Discussion, Rating Plot, Count, Logarithm of Count, Active Users and Popular Movies, Create Collaborative Filter, KNN Implementation, Making Recommendations, Course Conclusion
Course: Introduction to Java
Modules:
Welcome to the course, What is a Programming Language, Programming paradigms, How Java Works, Code in Java - I, Code in Java - II, Code in Java - III
Beginning the second week, Main screen. Basic tools. Views and perspectives, Program debugging. Debug screen, Code tools: navigation, generation. Refactoring, Functions and methods, Basic Error Handling
Summary of what we´ve learned so far and what we´ll cover this week, Practical use of arrangements, Introduction to algorithms, Algorithmic and computational thinking, Java Collections Framework II - Practical Use of Collections
Summary of what we´ve learned so far and what we´ll cover this week, Errors and exceptions, Exception handling in code I, Exception handling in code II, Reading from media in practice, Writing to Media in Practice
Course: Advanced Blockchain Architectures
Modules:
Course Introduction
The Lifecycle of a Blockchain Solution, Use Case Identification, Use Case Identification: Symptoms, Use Case Identification: Justification, Use Case Identification: Documentation, PoC Design and Construction, PoC Design and Construction: Alignment, PoC Design and Construction: Team, PoC Design and Construction: Concerns, Moving from PoC to MVP, Moving from PoC to MVP (Part 2)
The Blockchain Iceberg, The Blockchain Iceberg: Growth Potential, The Blockchain Iceberg: Enterprise Platform Characteristics, The Blockchain Iceberg: Enterprise Platforms, The Blockchain Iceberg: Enterprise Platforms continued, Enterprise Use Cases, More Enterprise Use Cases and Concerns, Financial Enterprise Use Cases and Concerns
Identity Management and the Blockchain, What is SSI?, SSI in the Modern Age, Why is SSI Important?, SSI Use Cases, SSI Benefits and Risks
Web 2.5, What is Web 2?, What is Web3?, Web 3 Environments, Web 2.5 in the Future, Looking Forward
Blockchain Interoperability, Integrating Blockchain with Blockchain, Integrating Blockchain with Blockchain (Part 2), Integrating Blockchain with Centralized Technology, Integrating Blockchain with Centralized Technology (Part 2)
Blockchain Sustainability, Carbon Footprint, Carbon Footprint: Consumption, eWaste, eWaste: Global Impact, eWaste: Public Awareness, eWaste: Standardized Practices, eWaste: Sustainability, Geopolitical Sustainability, Energy and Environmental Concerns, Propaganda, The Threat of Quantum Computing, Quantum Computing: Technological Advancements, Quantum Computing: Encryption, Quantum Computing: Code-based Cryptography
Where to Go From Here....., Good Resources for Additional Learning, Course Recap
Course: GenAI in Data Analytics
Modules:
Understanding Generative AI: An Overview, Exploring Different GenAI Technologies, Applications of Generative AI in Business, Navigating the Challenging: Concerns with AI, Integrating GenAI with Data Analytics, Improving Data Quality and Generation with GenAI, GenAI in Predictive Analytics, Case Studies: GenAI in Data Analytics
Course: Strategic Marketing
Modules:
Welcome to the Course, What is Strategic Marketing?, Asking the Right Questions, Quantitative Data Types, Qualitative Data Types, Sampling, Ethics in Marketing
What do B2C Customers Value?, B2C Market Research, Creating Value for B2C
What do B2B Customers Value?, B2B Market Research, Creating Value for B2B
What is Globalization?, Navigating Culture in Marketing, Digital Channels and Ethics, What is Customer Centricity?, Recording of Live Session - Strategic Marketing on 22-09-27 12:01:17 [24:05]
The Marketing Plan and MVP Model
Course: RESTful MVC Architecture
Modules:
Navigating Codio Assignments, How to Reset an Assignment in Codio, Web Application Architecture Notes, Setting up the VueJS Project Notes, HTML and CSS Essentials Notes
VueJS Components and Core Concepts Notes, Building a Todo App Notes, App Refactoring and Model Integration Notes
Advanced VueJS - Multiple Components and Emits Notes, Setting up and Developing an Express API Notes, Introduction to Testing Notes
Course: Model Thinking
Modules:
Thanks and Welcome, Why Model?, Intelligent Citizens of the World, Thinking More Clearly, Using and Understanding Data, Using Models to Decide, Strategize, and Design, Sorting and Peer Effects Introduction, Schelling's Segregation Model, Measuring Segregation, Peer Effects, The Standing Ovation Model, The Identification Problem
Aggregation, Central Limit Theorem, Six Sigma, Game of Life, Cellular Automata, Preference Aggregation, Introduction to Decision Making, Multi-Criterion Decision Making, Spatial Choice Models, Probability: The Basics, Decision Trees, Value of Information
Thinking Electrons: Modeling People, Rational Actor Models, Behavioral Models, Rule Based Models, When Does Behavior Matter?, Introduction to Linear Models, Categorical Models, Linear Models, Fitting Lines to Data, Reading Regression Output, From Linear to Nonlinear, The Big Coefficient vs The New Reality
Tipping Points, Percolation Models, Contagion Models 1: Diffusion, Contagion Models 2: SIS Model, Classifying Tipping Points, Measuring Tips, Introduction To Growth, Exponential Growth, Basic Growth Model, Solow Growth Model, Will China Continue to Grow?, Why Do Some Countries Not Grow?, Piketty's Capital: The Power of Simple Model
Problem Solving and Innovation, Perspectives and Innovation, Heuristics, Teams and Problem Solving, Recombination, Markov Models, A Simple Markov Model, Markov Model of Democratization, Markov Convergence Theorem, Exapting the Markov Model
Modules 1-10
Lyapunov Functions, The Organization of Cities, Exchange Economies and Externalities, Time to Convergence and Optimality, Lyapunov: Fun and Deep, Lyapunov or Markov, Coordination and Culture, What Is Culture And Why Do We Care?, Pure Coordination Game, Emergence of Culture, Coordination and Consistency
Path Dependence, Urn Models, Mathematics on Urn Models, Path Dependence and Chaos, Path Dependence and Increasing Returns, Path Dependent or Tipping Point, Networks, The Structure of Networks, The Logic of Network Formation, Network Function
Randomness and Random Walk Models, Sources of Randomness, Skill and Luck, Random Walks, Random Walks and Wall Street, Finite Memory Random Walks, Colonel Blotto Game, Blotto: No Best Strategy, Applications of Colonel Blotto, Blotto: Troop Advantages, Blotto and Competition
Intro: The Prisoners' Dilemma and Collective Action, The Prisoners' Dilemma Game, Seven Ways To Cooperation, Collective Action and Common Pool Resource Problems, No Panacea, Mechanism Design, Hidden Action and Hidden Information, Auctions, Public Projects
Replicator Dynamics, The Replicator Equation, Fisher's Theorem, Variation or Six Sigma, Prediction, Linear Models, Diversity Prediction Theorem, The Many Model Thinker
Post-course Survey, Keep Learning with Michigan Online
Course: Building HTTP APIs with Spring
Modules:
Frameworks, Inversion of Control, & Dependency Injection, The Java Spring Framework, Software Components, Defining a Configuration, Software Component Life-cycle Management, Capturing Application Metadata with Java Annotations, Dependency Injection Styles, Integration Testing with the Spring Framework
What is a Web Application & Why HTTP?, Communication Protocols, HTTP Request Anatomy, URLs & Query Parameters, Mime Types, Content-Type Headers, & Request Body Encoding Json, HTTP Response Anatomy, HTTP Response Codes, & Cookies
Building Web Applications on HTTP, Spring Controllers & Handling Client Input, Web Application Frameworks, Routing, & Request Handling, Marshalling & Unmarshalling Data, Modern Spring Controllers, Spring Data JPA
Authentication vs. Authorization, Cookies & Sessions, Spring Security Walkthrough, The Principal, Cross-site Request Forgery, Public Key Infrastructure
Course: Enseignement supérieur et entrepreneuriat
Modules:
Accueil du cours
Présentation de la semaine, Le contexte de l’enseignement supérieur : caractéristiques et modèle éducatif, La structure de diplômes et le système de qualité, Le système de crédits (ECTS) : éléments-clés et fonctionnement, La planification du processus d’enseignement et d’apprentissage dans l’enseignement supérieur, Les éléments de la planification, Les Objectifs de Développement Durable dans l’enseignement supérieur, La responsabilité sociale dans l’enseignement supérieur, L’interdisciplinarité dans l’enseignement supérieur, Les méthodologies actives et comment les mettre en place dans la salle de classe, L’impact des institutions d’enseignement supérieur sur l’environnement, L’université, le développement inclusif et la coopération, L’enseignement à travers la recherche-action
Présentation de la semaine, Les caractéristiques et les éléments-clés de l’enseignement basé sur des compétences, Les compétences spécifiques et les compétences transversales, Le développement d’un enseignement basé sur des compétences, Les résultats d’apprentissage : définition et typologie, Les résultats d’apprentissage : conception et stratégie, Les éléments-clés des stratégies méthodologiques innovantes, L’apprentissage basé sur des projets et sur des problèmes, L’apprentissage basé sur des défis, Les caractéristiques de la nouvelle culture d’évaluation, Les stratégies et les outils pour une évaluation instructive, Le feedback instructif : processus et stratégies, Les stages comme méthode d’apprentissage pratique, L’apprentissage et le service dans l’université, L’expérience pratique d’APS. Entretien avec la dr. Sònia Casillas (UAB)
Présentation de la semaine, La compétence entrepreneuriale, une compétence transversale, La compétence entrepreneuriale dans les études d’Économie et d’Entreprise, Entretien : comment introduire la compétence entrepreneuriale dans une matière, Exemple d’apprentissage basé sur des défis, L’innovation d’enseignement : le projet DIGI-SOC, Les diplômes propres, les microcertifications et des activités de reconnaissance académique, Entretien : les prix CIEU d’entrepreneuriat
Présentation de la semaine, La Mineure d’entrepreneuriat et d’innovation sociale, Le Master d’entrepreneuriat et d’innovation sociale. Première partie, Le Master d’entrepreneuriat et d’innovation sociale. Deuxième partie, Les Doctorats industriels, Les services pour des entrepreneurs, Le modèle de création des entreprises, Des services d’incubation, Des projets de collaboration publique et privée, Le projet EINES (l’espace innova d’entrepreneuriat et d’innovation sociale) et le CREIS (le centre de recherche d’entrepreneuriat et innovation sociale), Le cours universitaire d’entrepreneuriat et innovation sociale, Entretien : David Urbano, directeur du CREIS, Conclusion du cours
Course: Creating Dashboards and Storytelling with Tableau
Modules:
Course Introduction, What is a Story?, Introduction to Planning and Preproduction for Visualizations, A Design Checklist of the Who, What, Why, and How, Start with Your Stakeholders, Addressing Your Audience and Their Context, Finding the Story, Prioritizing, Optimizing, and Designing the Data Story, Case Study - "The Tale of 100 Entrepreneurs" (Part 1), Case Study - "The Tale of 100 Entrepreneurs" (Part 2), Case Study - "The Tale of 100 Entrepreneurs" (Part 3)
Introduction to Key Metrics, Indicators, and Decision Triggers, Key Performance Indicators (KPIs), Tableau Calculated Fields and KPIs, Creating Complex KPIs Using Tableau, Thresholds and Alerts, Data Quality
Best Practices for Dashboard Design, Dashboard Design Principles 1, 2, & 3, Dashboard Design Principles 4, 5, & 6, Hierarchies, Actions, Filters, and Parameters (Parts 1&2), Hierarchies, Actions, Filters, and Parameters (Part 3), Hierarchies, Actions, Filters, and Parameters (Part 4), Important Considerations for Creating Dashboards
Tell the Story of Your Data Introduction, The Art of Storytelling (Past, Present, and Future), Storytelling and the Human Brain, Bringing Data to Life: Emotions and Data Storytelling, Emotion Modulators: Color, Language, and Other Design Elements, Framing and Format, Framing, Conventions, and Priming, False Narratives and Data Storytelling, Telling the Stories within the Story (Part 1), Telling the Stories within the Story (Part 2), Story Considerations, Preparation of the Story Points, Setting Up the Story, Creating Points in the Story, Interactive Story, Create a Data Story in a Static Presentation, Course Summary
Course: Teoria dos Jogos: Da Teoria à Prática
Modules:
Apresentação do Curso, Preços e Mercados Perfeitos, Monopólio e Oligopólio, Monopolística e Oligopsônio, Componentes dos Jogos Estratégicos
Estratégias Dominantes, Estratégias Fracamente Dominantes, Eliminação Iterativa de Estratégias Dominadas, Solucionando um Jogo Simultâneo: o Equilíbrio de Nash (1), Solucionando um Jogo Simultâneo: o Equilíbrio de Nash (2)
Ponto Focal, Alguns Jogos Importantes (1), Alguns Jogos Importantes (2), Estratégias Maximin, Estratégias, Ameaças e Oportunidades
Estratégias de Negociação e Barreiras de Entrada, Mercado de Leilões, Avaliação e Informação, Maximização da Receita do Leilão, Lances e Coalizões
Course: Introduction to Vertex AI Studio - 한국어
Modules:
Vertex AI Studio 소개, Coursera: Google Cloud 및 Qwiklabs 시작하기
Course: Amazon Connect Conversational Interfaces Fundamentals
Modules:
Amazon Connect Conversational Interfaces Fundamentals
Course: مشروع كابستون لشهادة تحليلات البيانات من Google: الانتهاء من دراسة الحالة
Modules:
التعريف بمشروع كابستون, ريشي: ما يبحث عنه أصحاب العمل في محللي البيانات, الأفضل في فئتها
الشروع في دراسة الحالة الخاصة بك, إمكانات غير محدودة في دراسات الحالة التحليلية, مشاركة محفظتك
مناقشة محفظتك, فيديو السيناريو: المقدمات, فيديو السيناريو: دراسة الحالة, فيديو السيناريو: حل المشكلات, فيديو السيناريو: شروط التفاوض, ناثان: VetNet وإعطاء النصائح للمدققين
تهانينا على إكمال مشروع كابستون!, مننا جميعًا ..., استكشاف الفرص المهنية
Course: Comunicaciones integradas de marketing: Publicidad, Relaciones Públicas, Marketing Digital y más
Modules:
Tráiler, Visión general del curso - ¿Qué son las comunicaciones integradas de marketing?, Tendencias recientes del mercado, Conozcamos el proceso de marketing, Decisiones necesarias en una campaña de comunicaciones eficaz, Crear capital de marca basado en clientes, Lealtad de marca, ¿Cómo llevar a cabo una campaña de comunicaciones integradas de marketing exitosa?, ¿Cómo elegir una agencia de comunicaciones de marketing?, Estructura de una agencia de publicidad, ¿Cuáles son las principales habilidades necesarias para trabajar en una agencia de publicidad?
Cómo procesan la información los consumidores, Pasos en las comunicaciones efectivas, Objetivos de las comunicaciones, Proceso de toma de decisiones del consumidor, Cómo funciona la publicidad - AIDA y el modelo de la jerarquía de los efectos, Enfoque del consumidor al proceso de compra: cuadrícula FCB, Determinemos el presupuesto de comunicaciones de marketing, Relación entre el presupuesto de comunicaciones y las ventas, ¿Cómo convencer a la alta dirección para que apruebe el presupuesto de comunicaciones de marketing?
Enfoques teóricos del diseño de la publicidad, Estrategias de mensaje I - Cognitivas, Estrategias de mensaje II - Afectivas y conativas, Atractivos publicitarios I - Emocionales, al miedo, al humor, Atractivos publicitarios II - Racionalidad, sexo, escasez, Ejecuciones de mensaje I - Animación, segmento de vida, dramatización, informativas, Ejecuciones de mensajes II - Testimoniales, de autoridad, demostrativos, de fantasía, Selección del portavoz, El punto de vista de McCann: ¿cómo debería ser un brief creativo? ¿Cuáles son los pasos principales del proceso creativo?, El punto de vista de FCB: ¿cómo debería ser un brief creativo? ¿Cuáles son los pasos principales del proceso creativo?
Promociones de ventas, Relaciones públicas, patrocinios y marketing relacionado a causas, Marketing alternativo, Gestión de crisis, Marketing digital y medios sociales, ¿Cuáles son las últimas tendencias en el marketing digital?, Optimización de motores de búsqueda y marketing de contenidos, Evaluación de una campaña de comunicaciones integradas de marketing, ¿Listos para más?
Course: Materials Science: 10 Things Every Engineer Should Know
Modules:
Course Introduction, Six Categories of Engineering Materials, Structure Leads to Properties, Summary, Crystallography and the Electron Microscope, Introduction to the Arrhenius Relationship, The Arrhenius Relationship Applied to the Number of Vacancies in a Crystal, Point Defects and Solid State Diffusion, The Arrhenius Relationship Applied to Solid State Diffusion, Summary
Defining a Linear Defect - the Dislocation, Plastic Deformation by Dislocation Motion, Summary, The Stress versus Strain (Tensile) Test, The “Big Four” Mechanical Properties, Focusing on Strength and Stiffness, Beyond the Tensile Strength, Focusing on Ductility, A Fifth Parameter – Toughness, Summary
Definition of Creep Deformation, The Creep Curve, Creep Deformation and the Arrhenius Relationship, Mechanisms for Creep Deformation, Summary, The Ductile-to-Brittle Transition and Crystal Structure, Plotting the Ductile-to-Brittle Transition, Summary
Introducing the Concept of Critical Flaws, Fracture Toughness and the Design Plot, Critical Flaw Size and the Design Plot, A Play of Good versus Evil!, Summary, Introduction to Fatigue, Defining Fatigue, The Fatigue Curve and Fatigue Strength, Mechanism of Fatigue, Summary
Introduction to Phase Diagrams, The Lead-Tin Phase Diagram, The Competition Between Instability and Diffusion, The TTT Diagram for Eutectoid Steel, Diffusional Transformations, Diffusionless Transformations, Summary, A Brief History, The Intrinsic Semiconductor, The Extrinsic Semiconductor, Combined Intrinsic and Extrinsic Behavior, Summary
Course: Architecting with Google Kubernetes Engine: Workloads 日本語版
Modules:
コースの概要, Google Cloud と Qwiklabs を使ってみる
モジュールの概要, kubectl コマンド, イントロスペクション, ラボの概要, ラボの概要, モジュールのまとめ
モジュールの概要, Deployment, Deployment の作成方法, Service とスケーリング, Deployment のアップデート, ローリング アップデート, Blue/Green デプロイ, カナリア デプロイ, Deployment の管理, ラボの概要, Job と CronJob, 並列ジョブ, CronJob, ラボの概要, クラスタのスケーリング, ダウンスケーリング, ノードプール, Pod の配置の制御, アフィニティと反アフィニティ, Pod の配置例, taint と toleration, クラスタへのソフトウェアの追加, ラボの概要, まとめ
概要, Pod のネットワーキング, Service, Service の検索, Service のタイプとロードバランサ, ロードバランサの仕組み, Ingress リソース, コンテナ ネイティブの負荷分散, ネットワーク セキュリティ, ラボの概要, ラボの概要, まとめ
概要, Volume, Volume のタイプ, Volume のタイプ 2, PersistentVolume の抽象化, PersistentVolume の詳細, StatefulSet, ラボの概要, ConfigMap, Secret, ラボの概要, まとめ
Course: Учительський коучинг: сприяння розвитку сталих змін
Modules:
Модуль 1. Учительський коучинг (відео), Модуль 1. Формула коучингу (відео)
Модуль 2. Тягар фіксованого способу мислення (відео), Модуль 2. Чотири вершники фіксованого способу мислення (відео), Модуль 2. Ефект сніговика (відео), Модуль 2. Чотири вершники, продовження (відео)
Модуль 3. Ясність бачення навчання (відео), Модуль 3. Кракен / восьминіг (відео)
Модуль 4. Якість відгуку (відео), Модуль 4. Тренувальна сесія (відео)
Модуль 5. Анотація завдання (відео)
Course: Crafting Strategies for Innovation Initiatives for Corporate Entrepreneurs
Modules:
Preview of the Course, Welcome to week one, What are some basic types of innovations?, How can an audit reveal innovation competence and weakness?, How many ways can companies innovate?, How does innovation occur at different business levels?, How does technology uncertainty influence an innovation in the marketplace?, What are key "associating" skills of innovators?
Welcome to week two, How do you evaluate a winning innovation idea when you see one?, Who are innovation's creative role players?, Who are innovation's implementation role players?, How do manager, entrepreneur, and innovator roles differ?, How can innovation be framed as a process?, Do different organizational forms matter for innovation initiatives?, What organizational forms do innovation venture units take?
Welcome to week three, How does corporate culture influence innovation and creativity?, How can knowledge management enable innovation?, What factors influence the feasibility of an innovation?, How is innovation value classified within a firm?, How can benchmarking become an innovation practice?, How do innovation tournaments serve as a best practice?
Welcome to week four, How do innovation managers survive an innovation project?, What's inside an innovation portfolio?, How do disruptive innovations change the marketplace?, How are innovations revealed in a blue ocean strategy?, How can lead users contribute to an innovation strategy?, How can open innovation become an entrepreneurial strategy?, Summary of key concepts
Course: AI Workflow: Feature Engineering and Bias Detection
Modules:
Data Transformations Overview, Introduction to Class Imbalance, Class Imbalance Deep Dive, Introduction to Dimensionality Reduction, Dimension Reduction, Case Study Intro / Feature Engineering
Exploring IBM's AI Fairness 360 Toolkit, Introduction to Outliers, Outlier Detection, Introduction to Unsupervised learning, Unsupervised Learning
Course: Advanced Data Visualization with R
Modules:
Variations on Scatterplots, Variations on Line Plots, Flows and Circles
Introduction to Maps, Choropleths, Bubble Maps, Simple Features Maps
gganimate Part 1, gganimate Part 2, gganimate Part 3, ggplotly Part 1, ggplotly Part 2
Course: Inclusive Analytic Techniques
Modules:
Introduction to Inclusive Analytic Techniques, Why should we collect information about diverse communities?, Why should someone provide you with information?, Addressing legal requirements in a global context, Anchoring your research in the lived experience of informants, Ethics planning in community-based research
Introduction to probability, What we need to know about probability, Statistical inference, Testing a hypothesis – Intuition, Formulating hypotheses, Testing a hypothesis – calculation using Excel, Analyzing subsets within your data, Analyzing multiple subsets at once
Data collection and the data generation process, Where to find data, Are the data reasonable?, Interpreting results, Analyzing relationships: correlation, Analyzing relationships: regression, Taking evidence-based action
What is qualitative community-based research, Community engagement principles, Participatory data collection methods, Valuing lived experience, Empathy, Community engagement steps 1-2, Community engagement steps 3-5, Inclusive participatory practices, Engaging new groups, Analyzing qualitative data, Application Spotlight: Application to your project workplan, Course recap: Inclusive analytic techniques
Course: The History of Medicine: Philosophy, Science, and Psychology
Modules:
Lecture: What is Disease?, Lecture: How Did Disease Begin?, Lecture: Historical Patterns of Infectious Disease, Lecture: What Causes Disease?, Lecture: The Origins of Therapy, Lecture: "I Shall Please": The Placebo Response, Lecture: The Art of Medicine
Lecture: Early Schools of Medicine: Egypt, Lecture: Early Schools of Medicine: India, Lecture: Early Schools of Medicine: Greece, Lecture: Early Schools of Medicine: China, Lecture: Early Schools of Medicine: A Comparison, Lecture: The Collapse of the Roman Empire, Lecture: Medicine in the Islamic World, Lecture: Malthusian Forces in the Middle Ages, Lecture: Anatomy in the Renaissance, Lecture: Surgery in the Renaissance
Lecture: Medical Advances from 1700 to 1900, Lecture: The Beginnings of Microbiology, Lecture: Germ Theory of Disease, Lecture: The Rise of Science and Pseudoscience, Lecture: The Superficiality of Pseudoscience, Lecture: Medicine in 1900, Lecture: Turn-of-the-Century Advances
Lecture: The Beginnings of Modern Pharmacology, Lecture: The European Pharmaceutical Story, Lecture: How Do Drugs Work?, Lecture: Alternative Medicine, Lecture: Nutrition, Lecture: The Art of Diagnosis, Reconsidering the ways we think about body weight and health
Lecture: Holism and Preventive Medicine, Lecture: Probiotics, Lecture: Breakthroughs in Chemistry, Lecture: Antibiotics & Vaccines, Lecture: Superbugs and Ethical Dilemmas, Lecture: Current State of the Art: Physical Therapies, Lecture : Medical Ethics, Lecture: Medical Systems, Lecture: The Future of Medicine, Lecture: Precision Medicine, Lecture: Studies in Medicine: A Coda
Course: Aspectos conceptuales y operativos de la Telesalud
Modules:
Comunicación efectiva a distancia, El escenario en entornos virtuales
Entrevistas en telemedicina, Entrevista empática
Facilitar la adherencia al tratamiento, Educación al paciente en telemedicina
Formación de estudiantes en telemedicina, Cambios en la virtualidad, Entrevista con el experto
Course: تصميم واجهة برمجة تطبيق ب Python Flask : إنشاء واجهة لمدونة
Modules:
تنصيب الادوات واعداد بيئه العمل, المهمه ١, المهمه ٢, المهمه ٣, المهمه ٤, المهمه ٥, المهمه ٦, المهمه ٧, التحدي التراكمي
Course: 8 Most Controversial Terms in AI, Explained
Modules:
Stochastic Parrot
Emergent Behaviors and Grokking (Part 1), Emergent Behaviors and Grokking (Part 2)
Open Source
Bitter Lesson
Reasoning - The Unclaimed Holy Grail for LLMs
Hallucinations and Bias
Slow takeoff vs Fast takeoff
AGI
Course: AWS: Security, Governance, and Compliance
Modules:
AWS CloudFormation, AWS CloudTrial, Configuring CloudTrail Logs for EC2 Events, Amazon CloudWatch, Creating a CloudWatch Dashboard for EC2 Instance, AWS CloudTrail vs. CloudWatch vs. Config, Create AWS Config and SNS Topic: Hands-on, AWS Config: Monitor the Compliance Status
AWS KMS, Amazon Macie, Amazon Macie Hands-on - Create Macie job, Amazon Macie Hands-on - Macie job run and Findings, AWS WAF and Shield, Conclusion
Course: Exploring the Origins of Selfhood
Modules:
Course Overview, Wheel of Fortune, Wheel of Meaning, The Middle Ages and Renaissance, Personal Introduction - Prof. Dr. Roger Martinez-Davila, Personal Introduction - Prof. Stefan Huddleston, Personal Introduction - Prof. Ian Torres, Exploring Identity: Historical and Philosophical Foundations, Identity in Flux: Cultural Artifacts and Spiritual Individuals, The Inner Experience: Identity and the World, Identity in Context: Societal Changes and Individual Development, Assignment Overview: Exploring Identity: A Historical, Philosophical, and Societal Perspective, Identity in "Black Skin, White Masks" by Frantz Fanon
Nature and Nurture: Exploring the Interplay in Identity Formation, Enjoy a Moment at the Real Jardin Botanico, The Journey of Self-Discovery: Erikson's Stages of Psychosocial Development, Social Identity: Exploring Belonging and Identity in a Social Context, Culture's Imprint: Identity Formation in Cultural and Social Contexts, Assignment  Overview: Psychology and Society: A Multifaceted Exploration of Identity, Exploring Identity and Selfhood: A Comparative Analysis of Rembrandt's "The Night Watch”
Digital Footprints: Navigating the Intersections of Technology and Identity, Crafting the Digital Self: Online Identity Construction and Management, Enjoy a Moment at the Real Jardin Botanico, Digital Influence: Social Media's Impact on Self-Esteem and Self-Image, The Ethical Dimensions of Crafting Your Digital Identity, Assignment Overview: Navigating Digital Identity: Self-Awareness, Influence of Social Media, and Responsible Management, Identity in Mid-20th Century Film
Globalization and Cultural Identity: Unraveling the Complexities, Enjoy a Moment at the Real Jardin Botanico, Cultural Assimilation or Cultural Fusion? Navigating Identity in a Globalized World, Preserving Cultural Authenticity: Challenges in a Globalized Era, Cultural Heritage and Identity: Shaping the Past, Present, and Future, Assignment Overview: Globalization and Identity: The Interplay of Culture, Assimilation, and Heritage, The Unbelievable Story of the Carvajal - Santa Maria Family
Culminating a Global Renaissance Individual, Assignment Overview: Mandala of Personal Identity in a Globalized World, Enjoy a Moment at the Real Jardin Botanico
Course: Infectious Disease Transmission Models for Decision-Makers
Modules:
Understanding and Interpreting Infectious Disease Transmission Models: A Primer for Public Health Decision-Makers, Models Used in Daily Life, Primer on Infectious Disease Transmission, Variation in Transmission and Disease, Key Components of a Model, Overview of Modeling Structures, Summary
Forecasting Models, Inferential Models, Theoretical Models, Summary
Assessing if a Model Is Useful, Reasonable, and Relevant, Assessing Model Vulnerabilities, Case Studies: Ebola and COVID-19, Summary
How Models Inform Policy Decisions, Major Sources of Uncertainty for Decision-Making, Case Study: Rubella Vaccination, Summary
Course: Computer Vision with Embedded Machine Learning
Modules:
Welcome to the Course, Instructor Introductions, What is Computer Vision?, Overview of Digital Images, Data Collection, Overview of Image Classification, Review of Neural Networks, Training an Image Classifier with Keras, Using Colab to Curate and Upload a Dataset, Using Edge Impulse to Train a Model, Inference on a Single Board Computer, Inference on a Microcontroller (MicroPython), Review of Module 1
Image Convolution, Pooling Layer, Convolutional Neural Network, Training a Convolutional Neural Network, CNN Visualizations, Data Augmentation, Transfer Learning and MobileNet, Transfer Learning with Edge Impulse, Review of Module 2
Introduction to Object Detection, Object Detection Performance Metrics, Object Detection Models, Training an Object Detection Model, Deploy Object Detection Model to a Single Board Computer, Image Segmentation, Multi-stage Inference with Dmitry Maslov, Reusing Representations with Mat Kelcey, Review of Module 3, Conclusion
Course: Advanced MySQL Topics
Modules:
Introduction to advanced MySQL topics, Functions and stored procedures in MySQL, Variables and parameters, Developing user-defined functions, Create complex stored procedures, What are MySQL triggers?, Types of MySQL triggers, Create and drop triggers in MySQL, Working with MySQL Scheduled Events, Module summary: Functions and triggers
Overview of database optimization, Optimizing database SELECT statements, Optimizing database SELECT statements in practice, Indexes in MySQL, MySQL Transaction, MySQL Common table expression (CTE), MySQL Prepared Statement, MySQL JSON, Module summary: Database optimization
Overview of database analytics, Using MySQL for data analysis, Data analysis in MySQL using SQL queries, Emulating the Full Outer JOIN in MySQL, Extracting data from multiple tables with JOINS, Module summary: MySQL for data analytics
Course Recap: Advanced MySQL, Course wrap up
Course: Nursing Research: Principles and Methods(护理研究：基本原理与方法)
Modules:
New Video, New Video, New Video, New Video
New Video, lecture 2.2, lecture 2.3, New Video
New Video, New Video, New Video, New Video, New Video, New Video, New Video, New Video, New Video, New Video
New Video, New Video, New Video, New Video
New Video, New Video, New Video, New Video, New Video, New Video
New Video, New Video, New Video, New Video
New Video, New Video, New Video, New Video, New Video, New Video, New Video, lecture 7.8, New Video
lecture 8.1, lecture 8.3, lecture 8.2
New Peer Review
Course: Leadership and Disruption
Modules:
LAB 1: Hey, you!, LAB 2: Ahead of the game, LAB 3: Once Upon a Time
LAB 4: The person in the mirror, LAB 5: Your oxygen mask, first, LAB 6: Top-notch life balance
LAB 7: How big is the iceberg, LAB 8: Feedback made real, on point, LAB 9: ART of leadership
LAB 10: Business as usual... no more, LAB 11: Human digital transformation, LAB 12: Crafting the future, Foreseeing what next: How to be prepared for the new worldwide challenges" - Webinar
Course: مبادئ وأساسيات المحاسبة | What Accounting is all about
Modules:
أهمية وأهداف وانواع المحاسبة, مراحل الدورة المحاسبية - الجزء الأول, مراحل الدورة المحاسبية - الجزء الثاني, قائمة المركز المالي أو الميزانية العومية (Financial Position or Balance Sheet), قائمة الدخل والتدفقات النقدية والتغير في حقوق الملكية (Income, Cash Flow and Changes in Owner's Equity Statements), الفروض والمبادئ المحاسبية (Accounting Assumptions and Principles), طبيعة الحسابات وقاعدة القيد المزدوج (Double Entry), الجزء الأول من المسألة, الجزء الثاني من المسألة, الجزء الثالث من المسألة
Course: Fundamentos de la Negociación con Goldman Sachs 10,000 Women
Modules:
Bienvenida, Definir intereses y posturas, Utilizar los datos para sustentar tus objetivos, Eliminar distracciones, Escucha activa, Cambiar el apalancamiento
Course: Innovation Management: Winning in the Age of Disruption
Modules:
How much do you already know?, What are the challenges of innovation?, The future challenges of managing innovation, Introduction to disruptive innovation, Organisational responses, IBM approach: Managing disruptive innovation
Empathy in Design Thinking, Top Tips for Design Thinking, IBM approach: Protecting innovation
Course: The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior
Modules:
Course Materials and General Advice, Some Preliminaries About Microeconomics, Basic Assumptions About Market Participants, Opportunity Cost, Sunk Costs/Benefits, Production Possibility Frontier (PPF), The Determinants of Demand, The Determinants of Supply, Market Equilibrium
Intro to Week 2, Predicting and Explaining Market Outcomes, Government Intervention in Markets: Price Ceilings, Price Elasticity of Demand and it's Relationship to Total Expenditure, Calculating and Applying Price Elasticity of Demand, Determinants of Elasticity of Demand, Three Other Elasticities, Sharpening your Understanding of Price Elasticity of Demand and Supply
Intro to Week 3, Consumer Preferences, Sharpening Your Understanding of Indifference Curves, The Budget Constraint, The Consumer’s Optimal Choice, Changes in Income and Consumption Choices, Accounting for Altruism, Price Changes and Consumption Choices, From Individual to Market Demand
Intro and Consumer Surplus, The Price-Consumption Curve and Elasticity of Demand, Excise Subsidies - Health Care and Consumer Welfare, Analyzing ObamaCare I, Analyzing ObamaCare II, Analyzing School Choice I, Analyzing School Choice II, Investor Choice, Efficiency in the Distribution of Goods
Course: Building Relationships with Communication
Modules:
Welcome to Building relationships with communication!
Practice the solution: Balancing leadership priorities, Infographic: Balancing workplace tasks and relationships, Effective and balanced leadership starts with communication: Key takeaways
Practice the solution: Changing expectations on sharing, Infographic: Changing expectations on sharing, Sharing your struggles encourages others to do the same: Key takeaways
Practice the solution: Practicing compassion through the double hey, Infographic: Practicing compassion through the double hey, Compassion takes time and practice to perfect: Key takeaways
Final Thoughts