dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Estadística aplicada a los negocios
Modules:
Universidad Austral, Bienvenidos, Cómo configurar el Add-in de Excel: “Herramientas para análisis” (Analysis ToolPak), Cómo bajar datos de Yahoo Finance, Medidas de tendencia central: aplicación en excel, Medidas de tendencia central: explicación, Medidas de dispersión: explicación, Medidas de dispersión: aplicación en excel, Datos agrupados: explicación, Datos agrupados: aplicación en excel, Relación entre variables: explicación, Relación entre variables: aplicación en excel
Introducción al Módulo, Definiendo la probabilidad (Parte 1), Definiendo la probabilidad (Parte 2), Probabilidad condicional e independencia: explicación (Parte 1), Probabilidad condicional e independencia: explicación (Parte 2), Probabilidad condicional e independencia: explicación (Parte 3), Probabilidad condicional e independencia: Aplicación en ejemplo, Árboles de decisión: explicación, Cómo instalar el Add-in en excel: Simple decision tree, Árboles de decisión: aplicación en excel (Parte 1), Árboles de decisión: aplicación en excel (Parte 2), Variables aleatorias: explicación (Parte 1), Variables aleatorias: explicación (Parte 2), Variables aleatorias: Explicación (Parte 3), Variables aleatorias: explicación (Parte 4), Distribución binomial: explicación, Distribución normal: explicación, Distribución normal: aplicación en excel
Introducción al módulo, Distribuciones muestrales (Parte 1), Distribuciones muestrales (Parte 2), Distribuciones muestrales (Parte 3), Intervalos de confianza: explicación (Parte 1), Intervalos de confianza (Parte 2), Intervalos de confianza (Parte 3), Pruebas de hipótesis: explicación (Parte 1), Pruebas de hipótesis: explicación (Parte 2), Pruebas de hipótesis: explicación (Parte 3), Pruebas de hipótesis: explicación (Parte 4)
Introducción al módulo, Análisis de regresión simple: explicación (Parte 1), Análisis de regresión simple: explicación (Parte 2), Análisis de regresión simple: explicación (Parte 3), Análisis de regresión simple: explicación (Parte 4), Análisis de regresión múltiple (Parte 1), Análisis de regresión múltiple (Parte 2), Análisis de regresión múltiple (Parte 3), Análisis de regresión múltiple (Parte 4), Predicción: explicación (Parte 1), Predicción: explicación (Parte 2), Predicción: explicación (Parte 3)
Course: Developing Front-End Apps with React
Modules:
Course Introduction, Introduction to Front-End Frameworks and React, Understand React Structure, Expert Viewpoints: Using Front-end JavaScript Frameworks, Introduction to ES6, Introduction to JSX, Introduction to Components, Working with React Class Components: Props and Event Handling, Introduction to States, Passing Data and States between Components, Class Component Lifecycle
Working with Function Components: Props and Event Handling, Component Composition, State Management in Function Components, Function Component Lifecycle, Testing React Components, Working with Arrays in React Components, Virtual DOM Manipulation in React
Hooks, Side-effects Management and Custom Hook, Connecting React to External Services, Implementing Forms, Introduction to Redux, Essential Concepts of Redux, Async with Redux, Binding Redux and Flow, Introduction to Redux Toolkit
Final Project Walkthrough, Course Wrap-Up
Course: Essential Skills for Comp & Benefits Professionals
Modules:
Course Introduction- Essential Skills, Introduction to Project Management, Project Management Lifecycle, RACI Model, Project Management Methodologies, Apps and Online Platforms, Project Visuals
A Voice from the Field, Introduction to Data Analytics, Types of Data Analytics, Data Analytics Techniques: Part 1, Data Analytics Techniques: Part 2, Quantitative Methods: No Worries, Descriptive Statistics: Mean, Median, Mode, Descriptive Statistics: Range, Interquartile Range, Variance, Working with Percentiles, Qualitative Data Analytics
Collection Methods Matter, Formulating Effective Questions, Developing Effective Focus Group Questions
Introduction to Data Preparation, Scrubbing Data, Usable Data Introduction, Data Analysis Introduction
Introduction to Data Visualization, Designing Effective Visuals, Creating Visuals Using Spreadsheets, Interpreting Data Results, Course Complete-Congratulations
Course: Jakarta Persistence (JPA)
Modules:
Course Introduction, JPA Goals - EntityManagers, Database setUp, Database Recreate Tables, Lab 1 Walkthrough, JPA Entities Part1, JPA Entities Part 2, Lab 1 Walkthrough, CRUD Operations, Lab 2 Walkthrough
Basic Queries, Lab 1 Walkthrough, Native and Projection Queries, Lab 2 Walkthrough, NamedQueries, Lab 3 Walkthrough, Embeddable Classes, Lifecycle and FlushModeType, Lab 1 Walkthrough, Optomistic Locking, Lab 2 Walkthrough
Associations, Cascade Options, Lab 1 Walkthrough, ElementCollections, Lab 2 Walkthrough, Inheritence, Lab 3 Walkthrough
Course: Introduction to Risk Management
Modules:
Course Introduction, Learning Objectives
Risk Management Failures, Credit Suisse, The Evolution of Risk Management, What is Risk: Defining Risk
The Catalog of Risks, Market Risk, Credit Risk - Lending, Credit Risk - Counterparty, Operational Risk, Liquidity Risk, Model Risk, Compliance Risk, Conduct Risk, Reputational Risk, Investment Risk, ESG Risk
Managing Risk in an Enterprise, Risk Capacity and Risk Appetite, Identifying Risk, Risk Assessment, Assessing Risk Likelihood, Assessing Risk Impact, Responding to Risk, Monitoring Risk, Corporate Structure and Risk Management, The Chief Risk Officer, Three Lines of Defense, The Role of Risk Culture
Summary
Qualified Assessment
Course: Product Management: An Introduction
Modules:
Course Introduction: Product Management, Introduction to IBM Product Management Professional Certificate, Meet the Experts, Define Product Management, Role of a Product Manager, Expert Viewpoints: Role of Product Manager, Expert Viewpoints: Product Manager Skills, The Product Manager's Business Acumen, Expert Viewpoints: Business Acumen and the Product Manager, Expert Viewpoints: A Top Executive's View on Product Management - Part 1
What Is a Product?, Expert Viewpoints: Your Experience, A Day in the Life of a Product Manager, Expert Viewpoints: Challenges of Product Management, Soft Skills for a Product Manager, Expert Viewpoints: Personality Traits of a Product Manager, Expert Viewpoints: A Top Executive's View on Product Management - Part 2, The Product Lifecycle, The Product Management Lifecycle, Expert Viewpoints: The Product Management Lifecycle, Product Management Functional Areas, The Product Management Team and Stakeholders, Expert Viewpoints: Critical Roles and Collaboration
Value Creation, Expert Viewpoints: Creating Value, The Product Manager and Entrepreneurial Connection, Critical Thinking and the Product Manager, Expert Viewpoints: Thoughts on Critical Thinking, Summarize the Portfolio Approach, Portfolio Approach: Benefits and Challenges, Expert Viewpoints: Product Strategy Challenges, The Product Manager and the Project Manager, Expert Viewpoints: Project and Product Manager Relationship, Project Management Lifecycles
Employment Opportunities in Product Management, Expert Viewpoints: Preparation to Become a Product Manager, Improve Your Product Manager Resume, Expert Viewpoints: Product Manager Certification and Resume Building
Congratulations and Next Steps, Thanks from the Course Team
Course: Strategic Management for Churches
Modules:
Course Introduction, Week 1 Intro, Strategic Stewardship of Church Vision, Pastoral Leadership of Church Vision Part 1, Pastoral Leadership of Church Vision Part 2, Church Vision: Discerning Together in Downtown Miami, Week 1 Wrap-up
Week 2 Intro, Strategic Stewardship of Church Core Values, Theology of Church Core Values, Church Culture and Pastoral Leadership Part 1, Church Culture and Pastoral Leadership Part 2, Core Values Clothe Us in Abundant Life in Christ, Week 2 Wrap-up
Week 3 Intro, Goals and Objectives as Management Means, Strategic Stewardship of Church Goals and Objectives, Pastoral Leadership of Church Goals and Objectives, Goals and Objectives Put Discipleship Into Action, Week 3 Wrap-Up
Week 4 Intro, Strategic Stewardship of Church Metrics, Pastoral Leadership of Church Metrics, Metrics: Monitoring Church Vision and Vitality, Week 4 Wrap-up, Course Wrap-Up
Course: Foundations of mining non-structured medical data
Modules:
Introduction, Big Data (I), Big Data (II), Importance of medical domain in the European cost context, Big Data in medical domain: opportunities and challenges, Data generated in the health domain
Challenges and problems in biomedical texts, Challenges and problems in medical images
Introduction to NLP pipeline and tasks, Tools and frameworks: general purpose, Tools and frameworks: medical domain, Vocabularies and ontologies (I), Vocabularies and ontologies (II), EHR analysis: structure, content and challenges
Introduction of digital image basic concepts applied to medical image (I), Introduction of digital image basic concepts applied to medical image (II), Structuring image information, Case of use: Digital pathology. An example for breast cancer histological images
Data mining problems and techniques, Data mining basics (I), Data mining basics (II), Classification (I), Classification (II), Clustering, Association, Validation
Course: Creating a Technology Startup Company
Modules:
Introduction, Business Models & Ecosystems, Entrepreneurial Systems Thinking, Integral Entrepreneurship — A Holistic Approach, Value Chains & Supply Chains, Technology Adoption Life Cycle Introduction, Technology Adoption Life Cycle Stages, Navigating the Technology Adoption Life Cycle
Constructing Business Models, Business Model Lean Canvas, Concept Quick Pitch — Is this idea worth pursuing?, Introduction to Business Planning, Business Planning is a Process, The Lean Business Plan
Defining & Segmenting Your Target Customer, Constructing a Target Customer Persona, Design Thinking, Prototyping, & Testing, Target Customer Focus Groups, Surveys, & Interviews, Market Segmentation & Sizing, Market Segmentation & The Beach Head Market, Market Research & Competitive Analysis, Operational Dynamics: Porter's Five Forces
Identifying Founders' Key Roles & Responsibilities, Leading with Authenticity, Board of Directors and Advisors, Recruiting and Retaining Board Members, Officers, & Key Management, Five Practices of Effective Leadership, Leading with Emotional Intelligence, Business Plan Outline: Product, Market, Management & Operations
What Are Operations in a Technology Startup?, Location and Facility, From Product Concept to Production, Planning, Resources, & Time Management, Balanced Scorecard, Product & Market Plan Outline, Management & Operations Plan Outline
Course: Functional Program Design in Scala (Scala 2 version)
Modules:
Tools Setup for Linux, Tools Setup for Mac OS X, Tools for Setup for Windows, Tutorial: Working on the Programming Assignments, Recap: Functions and Pattern Matching, Recap: Collections, Lecture 1.1 - Queries with For, Lecture 1.2 - Translation of For, Lecture 1.3 - Functional Random Generators, Lecture 1.4 - Monads
Lecture 2.1 - Structural Induction on Trees, Lecture 2.2 - Streams, Lecture 2.3 - Lazy Evaluation, Lecture 2.4 - Computing with Infinite Sequences, Lecture 2.5 - Case Study: the Water Pouring Problem
Motivating Example, Type-Directed Programming, Type Classes, Conditional Implicit Definitions, Implicit Conversions
Lecture 4.1 - Functions and State, Lecture 4.2 - Identity and Change, Lecture 4.3 - Loops, Lecture 4.4 - Extended Example: Discrete Event Simulation, Lecture 4.5 - Discrete Event Simulation: API and Usage, Lecture 4.6 - Discrete Event Simulation: Implementation and Test
Lecture 5.1 - Imperative Event Handling: The Observer Pattern, Lecture 5.2 - Functional Reactive Programming, Lecture 5.3 - A Simple FRP Implementation, Conclusion
Course: Transformer Models and BERT Model - 한국어
Modules:
Transformer 모델 및 BERT 모델: 개요, Transformer 모델 및 BERT 모델: 실습 둘러보기
Course: Mandarin Chinese for Intermediate Learners: Capstone Project
Modules:
Welcome to capstone project, Review Lesson 1, Review Lesson 2, Review Lesson 3, Review Lesson 4, Review Lesson 5
Foreigners in China For 10 days vs 10 Years (Youtube: 杰里德 Jared)
Review Lesson 6, Review Lesson 7, Review Lesson 8, Review Lesson 9, Review Lesson 10
Chinese vs Western friends (Youtube: 杰里德 Jared)
Review Lesson 11, Review Lesson 12, Review Lesson 13, Review Lesson 14, Review Lesson 15
How did I learn Chinese? (Bilibili: 杰里德 Jared)
Farewell video, Welcome to SJTU if you intend to continue learning Chinese...
Course: Healthcare Data Literacy
Modules:
Course Introduction, Module 1 Introduction, Context of Human Systems and Human Biology, Healthcare Systems, Opportunities for Improvement: High Costs and Waste, Opportunities for Improvement: Knowing Doing Gaps, Opportunities for Improvement: Patient Management
Module 2 Introduction, Ontologies - Descriptions of the World, Standard Terminologies, Diagnoses: ICD-9/10, SNOMED, CPT, LOINC, Drug Terminologies, Information Exchange Standards
Module 3 Introduction, From Concepts to Data: Information to Knowledge, Clinical Data, Administrative Data, Genomic Data, Big Data
Module 4 Introduction, Data Archaeology, Data Harmonization, Data Integration, Data Mapping, Entity Resolution, Course Summary
Course: Introduction to Systematic Review and Meta-Analysis
Modules:
Welcome to Systematic Reviews and Meta-Analysis, Lecture 1A : Introduction to Systematic Reviews, Lecture 1B: Introduction to Meta-Analysis, Lecture 1C: Producers and Users of Systematic Reviews, Hannah Rothstein, PhD
Lecture 2A: Resources for How to Frame Your Question, Lecture 2B: Deciding the Type and Scope of Your Question, Lecture 2C: Elements of the Question, Lecture 2D: Refining the Question, Lecture 2E: Some Examples, Lecture 2F: Analytic Frameworks, Betsy Becker, PhD
Searching Principles and Assessing Bias, Lecture 3A: Finding the Evidence: Searching Principles, Lecture 3B: Identifying Key Sources and Techniques for Searching, Lecture 3C: Building a High-Quality Search Strategy, Lecture 3D: Documenting Your Search and Conclusions, Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis, Lecture 4B: Selection Bias, Lecture 4C: Information Bias, Lecture 4D: Bias in the Analysis, Lecture 4E: Displaying Study "Quality" in Your Systematic Review, Byron Wallace, Phd
Lecture 5A: Standards for Systematic Reviews, Lecture 5B: Selection Bias, Lecture 5C: Information Bias, Lecture 5D: Bias in the Analysis, Lecture 5E: Reporting Transparently, Lecture 6A: Qualitative Synthesis and Interpreting Results Section A, Lecture 6B: What is Qualitative Synthesis, Lecture 6C: Some Examples, Christopher Schmid, PhD
Planning Meta-Analysis and Statistical Methods, Lecture 7A: Planning Your Meta-Analysis Section A, Lecture 7B: Introduction to Meta-Analysis, Lecture 7C: Why Do a Meta-Analysis?, Lecture 7D: Types of Data and Effect Measures, Lecture 8A: Fixed Effect Model, Lecture 8B: Random Effects Model, Lecture 8C: Random Effects Model, Michael Borenstein, PhD
Lecture 9A: Wrap Up, Closing Remarks
Course: How Self-Motivation Shapes Personal Success
Modules:
Course Overview, Personal Introduction: Dr. Roger Martinez-Davila, The Middle Ages and the Renaissance, Motivational Theories: A Historical Perspective, Enjoy a Moment at the Real Jardin Botanico, Nature vs Nurture: A Dichotomy in Motivation, Unlocking the Power of Intrinsic and Extrinsic Motivation, A Multidimensional View of Self-Motivation: Cognitive, Behavioral, and Neuroscientific Perspectives, Assignment Overview: Foundations of Self-Motivation
The Art of Setting SMART Goals, The Power of Self-Efficacy, Embracing Growth: The Power of 'Yet', Enjoy a Moment at the Real Jardin Botanico, Resilience, Grit, and the Road to Achievement, Assignment Overview: Goal Setting and Self-Efficacy
Unpacking Emotional Intelligence: The Heart of Self-Motivation, Cultivating Emotional Self-Awareness and Self-Regulation, Empathy: The Key to Connecting with Others, Enjoy a Moment at the Real Jardin Botanico, Emotional Intelligence in Action: Communication and Conflict Resolution, Assignment Overview: Harnessing Emotional Intelligence for Personal Success
Awakening the Mind: Cultivating Curiosity, Unleashing Innovation: The Role of Creativity in Personal and Professional Success, Beyond Fear: Embracing Courage and Risk-Taking, The Power of the Present: Mindfulness and Reflection as Tools for Growth, Enjoy a Moment at the Real Jardin Botanico, Assignment Overview: The Global Renaissance Mindset
Assignment Overview: Mapping Your Personal Motivation through a Mandala, The Wheel of Fortune, Enjoy a Moment at the Real Jardin Botanico
Course: Real-World Cloud PM 2 of 3: Managing, Innovating, Pricing
Modules:
EC2, Containers and Serverless, EC2 Pricing Models, Application Integration, Nancy on Cloud Product Management 1, Nancy on Cloud Product Management 2
Databases 1, Databases 2, Analytics, Cost Tools, Nancy Pricing 1, Nancy Pricing 2, Nancy Pricing 3
Management & Governance, Other Services
Course: Azure: Identity and Access Management
Modules:
Course Introduction, Overview of this Course, Setting Up Azure Account, Microsoft Entra Product Family, Microsoft Entra Identity & Access Management, Microsoft Entra ID - Overview, Microsoft Entra ID - Demo, Secure Microsoft Entra Users and Groups - Overview, Demo: Secure Microsoft Entra Users and Groups, Microsoft Entra External ID - Overview, Microsoft Entra External ID - Demo, Microsoft Entra ID Protection - Overview, Implement Microsoft Entra ID Protection, Managed Identities for Azure Resources - Overview, Demo: Managed Identities for Azure Resources
Microsoft Entra Verified ID - Overview, Configure Microsoft Entra Verified ID - Step-by-Step Guide, Configure Microsoft Entra Verified ID - Resource Group and User Access Role, Configure Microsoft Entra Verified ID - Register Decentralized ID, Configure Microsoft Entra Verified ID - Verify Domain Ownership, Implement Password Protection and Single Sign-on (SSO) - Configuring SSO and Application Assignment, Implement Password Protection and Single Sign-on (SSO) - Accessing Azure Portal and Configuring SSO, Implement multi-factor authentication (MFA), Implement Password Protection, Passwordless Authentication, Microsoft Entra Role Based Access Control, Manage Built-in Azure roles, Manage Built-in Microsoft Entra Roles, Microsoft Entra ID - Manage Access to Enterprise Applications, Demo: Manage App Registrations in Microsoft Entra ID, Configure Azure role permissions, Role management and access reviews in Microsoft Entra, Implement Conditional Access policies - Overview, Implement Conditional Access policies - Demo, Microsoft Entra Privileged Identity Management - Overview, Demo: Assign Microsoft Entra roles in Privileged Identity Management, Microsoft Entra Application Proxy - Overview, Microsoft Entra Application Proxy - Demo, Entra Permissions Management for Cloud Entitlements, Verifiable Credentials for Secure Online Identity Verification, Microsoft's Decentralized Identity and Verifiable Credentials Solutions, Lab - Working with subscriptions
Course: Productivity in Remote Work
Modules:
Increase Productivity in a Remote Environment
Boost Engagement in Virtual Meetings
Inundated By Emails?
Collaborate Through Digital Tools
Course: Social Marketing Capstone Project
Modules:
Welcome to the Capstone!, How You Will Build Your Social Media Marketing Strategy, Linked Cells in your Social Marketing Planning Worksheets, Your Market Planning Tool, Secondary Research to Start the Process, Defining Your Social Market
Establishing Your Empowering Concept, Selecting Your Strategy, Engagement Marketing, Nurture Marketing, Social IMC, Community Support Sites
Developing Your Marketing Program, Creating Your Program's Budget, Finding Performance Metrics to Power Your Plan, Performance Funnels and KPIs, Marketing is Funnel Management, Finding Funnel Performance Metrics, Justifying Your Program
Pilot Program, Social Marketing Schedule, Presenting Your Plan, Final Presentation of the Specialization
That's a Wrap!
Course: A Complete Reinforcement Learning System (Capstone)
Modules:
Course 4 Introduction, Meet your instructors!
Initial Project Meeting with Martha: Formalizing the Problem, Andy Barto on What are Eligibility Traces and Why are they so named?, Let's Review: Markov Decision Processes, Let's Review: Examples of Episodic and Continuing Tasks
Meeting with Niko: Choosing the Learning Algorithm, Let's Review: Expected Sarsa, Let's Review: What is Q-learning?, Let's Review: Average Reward- A New Way of Formulating Control Problems, Let's Review: Actor-Critic Algorithm, Csaba Szepesvari on Problem Landscape, Andy and Rich: Advice for Students
Agent Architecture Meeting with Martha: Overview of Design Choices, Let's Review: Non-linear Approximation with Neural Networks, Drew Bagnell on System ID + Optimal Control, Susan Murphy on RL in Mobile Health
Meeting with Adam: Getting the Agent Details Right, Let's Review: Optimization Strategies for NNs, Let's Review: Expected Sarsa with Function Approximation, Let's Review: Dyna & Q-learning in a Simple Maze, Meeting with Martha: In-depth on Experience Replay, Martin Riedmiller on The 'Collect and Infer' framework for data-efficient RL
Meeting with Adam: Parameter Studies in RL, Let's Review: Comparing TD and Monte Carlo, Joelle Pineau about RL that Matters, Meeting with Martha: Discussing Your Results, Course Wrap-up, Specialization Wrap-up
Course: Consulting Tools and Tips
Modules:
What will you learn from this course?, 4.1 Top 5 ways to get smart on a client’s business, 4.2 Top 5 ways to get smart on industry trends, 4.3 Finviz.com: A free way to analyze stocks, 4.4 Paid research is expensive, and may be useful
4.5 Michael Porter's five forces framework, 4.6 Application of the five forces framework, 4.7 Creating barriers to entry
4.8 Sometimes you need to create new data, 4.9 Surveys are useful, and take a lot of time, 4.10 Observations give a glimpse of reality
4.11 What is benchmarking? Why is it important?, 4.12 How to stay out of (benchmarking) trouble, 4.13 10 tips for competitive intelligence
4.14 Use Exceljet.net to learn the Excel basics, 4.15 Excel models vary from simple to fancy, Congratulations on finishing course #4
Course: Software Requirements Prioritization: Risk Analysis
Modules:
Intro to Risk Analysis, Assessment, and Prioritization, Documenting Conflicts, Generating Conflict Resolution
What is a Risk?, Risk and Cut-Set Trees
Risk Assessment, Risk Control and Countermeasures
Integrating Risk Management, Evaluating Alternatives, Quantitative Risk Prioritization: Analytic Hierarchic Process, Risk Analysis, Assessment, and Prioritization Conclusions... and Reminders
Course: Fundamental Neural Pathways For Movement
Modules:
Welcome to the Science of Movement Specialization, Meet Your Instructor, Introduction to This Course, Sensor of Muscle Force, Tendon Organ Feedback, Muscle Spindle Anatomy, Sensor of Muscle Length, Muscle Spindle Responsiveness, Hoffmann Reflex, Stretch Reflex, Recurrent Inhibition
Proprioceptive Neuromuscular Facilitation, Neural Adjustments During Stretching, Training Adaptations, Context Influences Postural Adjustments, Withdrawal Reflex, Coactivation, Load Compliance, Training Adaptations, Gait Cycle, Load Receptors
Kinematics of Gait, Ground Reaction Forces, Muscle Synergies, Half-Center Model, Spinal Cord Injuries, Central Pattern Generator Properties, Central Pattern Generators Rhythms, Central Pattern Generators in Humans
Flexor-Extensor Synergies, Somatosensory Input, Electrical Stimulation of Sensory Fibers, Mesencephalic Locomotor Region, Basal Ganglia, Cerebellum, Visual Guidance
Course: Working with Data
Modules:
Why data is important to mobile apps, Introduction to the course:  Working with Data in React Native, What you know about HTTP, RESTfulness, Naming conventions, Essential tools for API development, REST best practices, Security and authentication in REST API, Access control
Contacting Servers, HTTP protocol and asynchronous calls, HTTP protocol and Promises in action, What you've learnt about JSON, Fetching Images, Module summary: Interacting with REST APIs in React Native
What is a database?, How is data related?, What is Structured Query Language?, SQL usage, SQL syntax introduction, CREATE and DROP database, What are tables in databases?, Numeric data types, String data types, Default values, CREATE TABLE statement, ALTER TABLE statement, INSERT statement, SELECT statement, Updating data, Deleting data, Module summary: Introduction to Databases & SQL
What is AsyncStorage?, Working with AsyncStorage, Connecting AsyncStorage to State, What is SQLite?, Setting up Expo-SQLite, Connecting SQLite to State, Module summary: Data in React Native
Course Recap: Working with data in React Native, Course wrap up
Course: Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA
Modules:
Variables y funciones, Números binarios, Tablas de verdad, Compuertas lógicas OR, AND y NOT, Álgebra Booleana, Diagrama de Venn, Síntesis de un circuito digital como suma de productos, Síntesis de un circuito digital como producto de sumas, Circuitos lógicos con NAND y NOR, Ejemplos de diseño, Circuitos multiplexores, Introducción a las herramientas de CAD, Compuertas lógicas XOR y XNOR
Primeros pasos con Verilog, Tipos de datos, conexiones, registros, asignaciones y procedimientos, Operadores en Verilog, Operadores condicionales en Verilog, Case, casex, casez y loop for, Testbench en Verilog
Transistores MOSFET, Compuertas lógicas NMOS, Compuertas lógicas CMOS, Proceso de fabricación CMOS, Circuitos con lógica negativa, Chips estándar, Dispositivos lógicos programables, Chips a la medida, Aspectos prácticos de los MOSFETs, Disipación de potencia, fan-in y fan-out, Compuertas de transmisión CMOS, Detalles de implementación en SPLDs, CPLDs y FPGAs, Xilinx y Basys 3, Programar una FPGA con Vivado
Mapas de Karnaugh, Mapas de Karnaugh con 4 y 5 variables, Estrategia de minimización, Minimización de suma de productos, Minimización de productos de sumas, Funciones especificadas de forma incompleta, Circuitos con múltiples salidas, Síntesis multinivel: factorización, Síntesis multinivel: descomposición funcional, Circuitos multinivel con compuertas NAND y NOR, Análisis de circuitos multinivel, Herramientas CAD
Representación de números sin signo, Suma de números sin signo, Números con signo, Suma y resta, Complemento de la base y overflow aritmético, Problemas de desempeño, Sumadores rápidos, Multiplicación, Otras representaciones numéricas, Código de caracteres ASCII, Diseño de circuitos aritméticos con Verilog
Course: Cities are back in town : sociologie urbaine pour un monde globalisé
Modules:
Bienvenue dans le nouveau monde urbain, Les villes anciennes, Qualifier les villes et le monde urbain, Un monde de villes ou un monde urbain généralisé, Définitions, Modèles et sociologie urbaine
Introduction à la ville européenne, La révolution municipale et l'autonomie politique fragile, Le modèle wébérien de la « ville occidentale », Le modèle néo-wébérien, Le modèle néo-wébérien  partie 2, Étude de cas : Los Angeles
imposer un cadre européen universel ou chercher des alternatives ?, Inégalités, ségrégation, et ordre politique colonial partie 1, Inégalités, ségrégation, et ordre politique colonial partie 2, Attributs des villes coloniales, Héritage de la colonisation, les villes postcoloniales ? partie1
Urbanisation industrielle et changement urbain, Deux vagues d’industrialisation, La construction de la ville industrielle comme structure sociale, Méthodes et variables du modèle marxiste de l’agglomération industrielle
Centres d’expérimentation de la vie sociale moderne, Les capitales européennes des grands états-nations du 19ème siècle deviennent des métropoles, Les métropoles du Sud, L’écologie humaine des villes et l’avènement américain de la sociologie urbaine, Compétition et développement de la métropole
Une mondialisation urbaine capitaliste, Mondialisation, Villes mondiales : grandes villes et fonctions économiques avancées ?, Conclusions sur la ville mondiale
La post-métropole et la critique des modèles, Villes conflictuelles, villes contestées, rejet du modernisme, capitalisme et état, Au-delà du modernisme, le tournant culturel des études urbaines, Culture et divertissement sont de retour en ville, la ville des visiteurs
Introduction à la ville intelligente Part 1, Introduction à la ville intelligente Part 2, Cartes et réseaux Part 1, Cartes et réseaux Part 2, Le modèle de la ville intelligente Part 1, La ville durable
Course: ChatGPT - Usos y Estrategias
Modules:
¿Cuál es la historia de la Inteligencia Artificial?, ¿Qué tipo de Inteligencia Artificial impulsa a ChatGPT?
¿Cómo opera ChatGPT y qué es la Ingeniería de Prompts?, ¿Qué técnicas avanzadas existen para el uso eficiente de ChatGPT?
Las posibilidades educativas y estrategias para crear actividades de aprendizaje con ChatGPT, Profesional del futuro: Integrando ChatGPT para mejorar la productividad
Navegando entre la Ética y la Innovación con ChatGPT, ChatGPT: forjando un futuro responsable, Entrevista con el experto
Course: Foundations of Public Health Practice: The Public Health Toolkit
Modules:
Meet the Team (Optional): Richard Pinder, Meet the Team (Optional): Samantha Alvarez Madrazo, Introductory video and welcome, Bradshaw's taxonomy of need, What is health needs assessment?, Who uses health needs assessment?, Example 1: A local health and wellbeing needs assessment, Example 2: A national healthcare needs assessment, Conclusion, Introducing health impact assessment, Introducing Health Equity Audit
The public health intelligence cycle, Routinely collected data and metadata, Non-routinely collected data (surveys and validated instruments), Non-routinely collected data (bespoke survey design and governance), Practitioner interview: Delivering a health needs assessment, Conclusion
Introducing evaluation in public health, Types of evaluation: Outcome evaluation, Types of evaluation: Process and formative evaluation, Measuring quality in health care, The Donabedian approach to evaluation, The Logical Framework approach (the Logframe), Practitioner interview: Evaluation in practice, Conclusion
Getting started in analysis, Getting started in analysis (Double Diamond Method), Practitioner Interview: Briefings in practice, Conclusion
Course: Creating BigQuery Datasets, Visualizing Insights - Português
Modules:
Introdução ao curso, Revisão do conjunto de dados de e-commerce do Google Analytics
Como criar tabelas permanentes, Tabelas temporárias e resultados de consulta, Prévia de desempenho: cache de consultas, Como criar visualizações lógicas, Introdução ao laboratório: Criar tabelas permanentes e visualizações com acesso controlado no BigQuery, Coursera: Como começar a usar o Google Cloud Platform e o Qwiklabs
Como ingerir novos dados no BigQuery, Introdução ao laboratório: Como fazer a ingestão de novos conjuntos de dados no BigQuery
Introdução às funções JOIN e UNION, Como usar caracteres curinga de tabela para facilitar mesclagens, Como vincular dados de várias tabelas, Exemplos de mesclagens de SQL, Como evitar problemas ao mesclar conjunto de dados, Revisão do conjunto de dados de e-commerce do Google Analytics, Introdução ao laboratório: União e mesclagem de conjuntos de dados
Informações gerais dos princípios de visualização de dados, Comparação entre visualizações corretas e incorretas, Dimensões, medidas e relatórios, Introdução ao Looker Studio, Introdução ao laboratório: Analisar e criar relatórios com o Looker Studio
Resumo do curso
Course: مشاركة البيانات من خلال فن مؤثرات عرض التصور
Modules:
مقدمة في توصيل رؤى البيانات الخاصة بك, كيفن: القوة في تصور البيانات, سبب أهمية تصور البيانات, ربط الصور بالبيانات, وصفة لتصور قوي, التصورات الديناميكية, عناصر الفن, تأثير مؤثرات عرض تصور البيانات, التفكير التصميمي والتصورات, العناوين والعناوين الفرعية والتسميات, تصورات يمكن الوصول إليها, أندرو: جعل البيانات في سهلة الوصول
صورات البيانات باستخدام Tableau, وأدوات أخرى عبر الإنترنت, تعرّف على Tableau, إنشاء تصور البيانات في Tableau, الجيد، والسيء والقبيح, تحقيق الإبداع, ربط البيانات في Tableau
سرد القصص باستخدام البيانات, جلب الأفكار إلى الحياة, التحدث إلى جمهورك, كارولين: صحافة البيانات, أساسيات لوحة معلومات Tableau, من عوامل التصفية إلى الرسوم البيانية, نصائح عرض مقنعة, مشاركة سرد, سنداس: كيفية إدارة متلازمة المحتال
وضع كل شيء معًا, التقديم باستخدام إطار عمل, ربط البيانات بالعرض التقديمي, بريتاني: مهارات العرض لمحللي البيانات الجدد, كونور: مثال فوضوي لعرض تقديمي للبيانات, كونور: مثال جيد على عرض تقديمي للبيانات, نصائح مثبتة للعرض التقديمي, التقديم مثل المحترفين, توقع السؤال, التعامل مع الاعتراضات, أفضل ممارسات الأسئلة والأجوبة, كونور: كيف تصبح مترجمًا خبيرًا للبيانات, تهانينا!
Course: Career Options: Exploring a New Career
Modules:
Meet the Team, Course Introduction Video, Beginning Your Career Plan
What Do I Need To Know?
What Are Marketplace Realities? (Self Evaluation)
Introduction to RightPathing Your Future, What Is RightPathing Your Future?, Understanding Our Behaviors: The X-Ray, Understanding Our Behaviors: The MRI, Understanding Our Skills, Work Values and Passions, Understanding and Articulating Our Life Purpose, An Expert's Advice on Achieving Career Success
Writing Your Career Objective, Matching What I Think I Know With What the Position Describes
Research Is Key!, What Research Should I Do?
Career Creativity
Course: C Programming: Language Foundations - 2
Modules:
Let's get started, Get to work with Codecast, Learn how to use Taskgrader, How to navigate with the third-party tools?
Self-assess your learning in Logic conditions and if-else statements
Self-assess your learning in Arrays, for and while loops
Self-assess your learning in Strings, sort and search algorithms
Closing MOOC 2 - C Programming: Language Foundations
Course: Strategies and Tools to Mitigate Agricultural Risk
Modules:
Course Overview, Meet Your Instructor | Dr. Nicholas D. Paulson, Meet Your Instructor | Dr. Gary D. Schnitkey, Meet Your Instructor | Dr. Bruce Sherrick, Meet Your Instructor | Paul Stoddard, Meet Your Instructor | Ailie Elmore, Meet Your Instructor | Dr. Joana Colussi, Module 1 Introduction, Drainage Tile, Irrigation, Equipment Size and Selection, Input Contracting and Selection, Crop Rotation, Pest Management: Weeds, Fungus, and Insect Control, Fertilizer Management and Plans, Precision Technology, Panel Discussion: Crop Production Risks, Module Summary
Module 2 Introduction, Crop Insurance, Government Programs, Agricultural Marketing, Agricultural Credit Institutions, Panel Discussion: Mitigation of Financial Risk in Agriculture, Module Summary
Module 3 Introduction, Cash Rent Overview, Owner/Operator: Direct Operated, Custom Overview, Panel Discussion: Mitigation of Agricultural Land Risk, Module Summary
Module 4 Introduction, Livestock Production and Risk Mitigation, Other Farm Income/Off Farm Employment, Government Payments and Ad Hoc, Greenhouses: Fruits and Vegetables, Agrotourism, Panel Discussion: Other Risk Mitigation Tools in Agriculture, Module Summary, Course Wrap-up, Risk and Decision-Making in Agriculture  | Graduate Certificate Course
Course: 데이터 분석을 통한 해답 찾기
Modules:
데이터 구성 개론, 분석 과정, 아야나: 끈기, 언제나 필수인 구성 작업, 정렬 및 필터링에 관해 자세히 알아보기, 데이터 세트 정렬, SORT 함수, 엠마: 의미 있는 커리어 여정, SQL의 정렬 쿼리
데이터 형식 지정 시작하기, 한 가지 유형에서 다른 유형으로, 데이터 확인, 조건부 서식(Conditional formatting), 병합 및 여러 소스, 스프레드시트의 문자열, 어려움이 생겼을 때 할 일, 레일라: 분석 단계에 관한 모든 내용, 어려움이 발생해도 걱정이 없는 이유, 사용할 도구와 사용할 시기
분석을 위한 데이터 집계, VLOOKUP 준비, VLOOKUP 실행, 일반적인 VLOOKUP 오류 파악, JOINS의 이해, COUNT 및 COUNT DISTINCT, 쿼리에 속한 쿼리, 서브쿼리를 사용하여 데이터 집계, 저스틴: 데이터 분석을 통해 얻을 수 있는 이점
데이터 계산, 일반적인 계산식, 함수와 조건, 복합 함수, 피벗 테이블 작업 1, 피벗 테이블 작업 2, 쿼리 및 계산, SQL에 간단한 계산 삽입, 다른 문으로 계산, 확인과 재확인, 임시 테이블, 다수의 테이블 변수, 마무리 인사
Course: Applied Plotting, Charting & Data Representation in Python
Modules:
Introduction, Updates, About the Professor: Christopher Brooks, Tools for Thinking about Design (Alberto Cairo), Graphical heuristics: Data-ink ratio (Edward Tufte), Graphical heuristics: Chart junk (Edward Tufte), Graphical heuristics: Lie Factor and Spark Lines (Edward Tufte), The Truthful Art (Alberto Cairo)
Introduction, Matplotlib Architecture, Basic Plotting with Matplotlib, Scatterplots, Line Plots, Bar Charts, Dejunkifying a Plot
Subplots, Histograms, Box Plots, Heatmaps, Animation, Widget Demonstration
Plotting with Pandas, Seaborn, Mapping and Geographic Investigation, Becoming an Independent Data Scientist
Course: Управление рисками проекта и изменениями
Modules:
Обзор курса, Course Survey (English)
2.1 Лекция, 2.3 Анализ ситуации, Дополнительное видео: «Как информировать высшее руководство о статусе проекта»
3.1 Лекция, 3.3 Анализ ситуации, Дополнительное видео: «Как сделать контроль изменений частью формулы успеха»
4.1 Лекция, 4.3 Анализ ситуации, Дополнительное видео: «Советы по проведению разбора накопленного опыта»
Интервью с участником дискуссии
Course: Foundations of Teaching for Learning: Learners and Learning
Modules:
Introduction to Learners and Learning, Lecture 1.1: Who are the learners?, Lecture 1.2: Issues of identity, Lecture 1.3: Boys and girls, Lecture 1.4: The multicultural classroom
Lecture 2.1: Self confidence and self esteem, Lecture 2.2: The concept of 'agency', Lecture 2.3: Differentiating learning and teaching, Lecture 2.4: Rules and roles, Interview 1: Looking at weeks one and two
Lecture 3.1: Language in the classroom, Lecture 3.2: Rewarding and celebrating achievement, Lecture 3.3: Questioning in the classroom, Lecture 3.4: Working in pairs, triads, and groups
Lecture 4.1: Understanding peer groups, Lecture 4.2: Smoking, alcohol, drugs and peer pressure, Lecture 4.3: Bullying, Lecture 4.4: Labeling, Interview 2: Looking at weeks three and four
Lecture 5.1: Learning in the home, Lecture 5.2: Homework, Lecture 5.3: Transitions, Lecture 5.4: The uses and value of indicators
Lecture 6.1: PaiObanya, Lecture 6.2: David Perkins, Lecture 6.3: Lev Vygotsky, Lecture 6.4: Abraham Maslow, Interview 3: Looking at weeks five and six
Course: Moralities of Everyday Life
Modules:
Introduction to the Course
What is Morality?, Philosophical Approaches, Reason vs. Emotions, The Case of Disgust, Cute and Sexy, Return to the Trolley Problem, The Big Questions, Week 1 Office Hours (2015), Week 1 Office Hours (2014)
Caring About Others, How Do We Treat Strangers?, Empathy and Concern, Empathy and its Limits, Week 2 Office Hours (2015), Week 2 Office Hours (2014)
Moral Diversity, Moral Universals, Evolution of Morality, Reciprocal Altruism, Guest Lecture, Laurie Santos, Development of Morality, How Much Can Evolution Explain?, Discussion with Laurie Santos, Week 3 Office Hours (2015), Week 3 Office Hours (2014)
Moral Differences, Kinds of Societies, Conservatives and Liberals, Disgust and Honor I, Disgust and Honor II, Religion and Morality I, Religion and Morality II, Week 4 Office Hours (2015), Week 4 Office Hours (2014)
Moral Circles, The Morality of Group Preference, What Groups Matter?, Stereotypes, Economic Games, Criticisms of Economic Games, How Do We Naturally Respond to Strangers?, The Problem of Kindness, Week 5 Office Hours (2015), Week 5 Office Hours Part (2014)
Morality as Part of Our Nature, Skepticism About the Self, Free Will and the Situation, Conclusion, Week 6 Office Hours (2015), Week 6 Office Hours (2014)
Course: Google Sheets 日本語版
Modules:
コースの紹介, アジェンダ
Google スプレッドシートの紹介, 演習 1 の説明
Google スプレッドシートを使用したデータの管理, 演習 2 の説明
Google スプレッドシートの書式設定, スプレッドシートの書式設定, セルの種類、行、列, 演習 3 の説明, 複数のシートの管理
基本的な数式、関数、グラフ, 基本的な関数, 演習 4 の説明, グラフを使用したデータの要約, グラフの作成, インポート、エクスポート、日付タイプなど, 演習 5 と 6 の説明
Google スプレッドシートの共有, 演習 7 の説明
Google スプレッドシートでの共同編集, 演習 8 の説明, チャットと Gmail の統合
ビジネス課題の概要, ビジネス課題の説明, まとめ
Course: Explainable deep learning models for healthcare - CDSS 3
Modules:
Welcome video - Explainable Deep Learning Models for Healthcare, Interpretability vs Explainability, 'Explainability' in Healthcare Applications, Taxonomy of Explainability Methods, Model Agnostic Explainability Methods, Permutation Feature Importance in Time Series Data
Local Interpretable Model Agnostic Explanations (LIME), LIME in Time-Series Classification, Shapley Additive Explanations, Model-Specific Explanations: Visualisation Methods, CAM in Time-Series Classification
Gradient Weighted Class Activation Maps, Grad-CAM in Time-Series Classification, Integrated Gradients, Integrated Gradients in Time Series Classification
Attention in Deep Learning, Taxonomy of Attention, Attention and Explainability
Course: 大學之理念 (The Idea of a University)
Modules:
1-1  引言：為什麼必須在21世紀重訪「大學之理念」？, 1-2  21世紀是全球化與反全球化潮流激盪的時代, 1-3  21世紀是知識經濟的時代, 1-4  21世紀是亞洲崛起的時代, 1-5  亞洲高等教育21世紀的新挑戰（一）：文化主體性的失落, 1-6  亞洲的大學因應「文化霸權」的對策與落實, 1-7  亞洲高等教育21世紀的新挑戰（二）：教育主體性的失落, 1-8  結論
2-1  引言, 2-2  西方近代文明的「理性化」過程：韋伯學說簡介, 2-3  從「神聖」走向「世俗」：歐洲大學發展的軌跡與方向, 2-4  19世紀民族國家的形成與研究型大學的興起, 2-5  戰後的世局與大學的變化, 2-6  從臺灣出發思考：戰後臺灣高等教育的發展與問題, 2-7  結論
3-1  引言, 3-2  大學創造及傳播知識的動力：類型與本質, 3-3  學的知識社群特性, 3-4  結論
4-1  引言, 4-2  大學政治體系的建立及其理論基礎, 4-3  大學政治組織之運作及其問題, 4-4  大學政治組織的本質及其分析, 4-5  結論
5-1  引言, 5-2  大學作為經濟組織之特質, 5-3  大學經濟資源之獲得, 5-4  大學經濟資源的分配, 5-5  結論
6-1  引言, 6-2  大學與政治領域之關係及其性質, 6-3  「國家」介入大學事務的理論基礎, 6-4  「國家」介入大學教育之管道、程度及其問題, 6-5  大學與產業界關係之性質, 6-6  不穩定關係下之問題及其對治之道, 6-7  結論
7-1  引言, 7-2  兩種大學理念的爭衡： 「傳統的」與「實用的」大學理念, 7-3  生命教育是撥動靈魂深處心弦的教育, 7-4  為什麼21世紀的大學必須重視生命教育？, 7-5  大學生生命教育學習的四個關鍵詞, 7-6  結論
選擇題
Course: Writing, Running, and Fixing Code in C
Modules:
Introduction to Writing Code, Intersection of Two Rectangles, Translating the Intersection Algorithm to Code, Introduction to the Programming Environment, Editing Files with Emacs, More about Git
Now We Need to Compile, "Hello World", Planning isPrime, Generalizing isPrime, Translating isPrime to Code, Comparing Output with diff, Build Tool: make, Compiling with a Makefile
Testing Means Finding Bugs, Test-driven Development, Code Review, Finding Problems with Valgrind, Gathering Information with gdb, Advice from a Duke Software Engineering Student: Don't Give Up!
Introduction to the Poker Project, Poker Project Roadmap
Course: Responsible AI for Developers: Fairness & Bias - Italiano
Modules:
Introduzione al corso
AI e responsabilità, Principi dell'AI di Google, Pratiche relative a un'AI responsabile, Case study: Google Voli
Panoramica su equità e bias, Identificare i bias - Strumento TFDV, Identificare i bias - Strumento What-if, Identificare i bias - Strumento TFMA, Mitigare i bias - Intervento sui dati, Mitigare i bias - Calibrazione delle soglie, Mitigare i bias - Correzione dei modelli, Lab: Mitigare i bias con MinDiff in TensorFlow, Coursera: Introduzione a Google Cloud e Qwiklabs
Riepilogo del corso
Modulo 0: Introduzione al corso, Modulo 1: Introduzione all'AI responsabile, Modulo 2: Equità e bias dell'AI, Modulo 3: Riepilogo del corso
Course: El trabajo por proyectos en escuelas de contextos rurales
Modules:
Universidad Austral, El diseño del proyecto, El diseño del proyecto, El inicio del proyecto [Video para el foro]
Las actividades del proyecto, Gallito Ciego [Video para el foro], Juego Libre [Video para el foro], Comunicar el proyecto [Video para el foro], Reconocer y valorar la heterogeneidad en el aula, Recapitulando los conceptos del Módulo 2
Documentar el proyecto, ¿Cómo realizar la documentación?, Comunicar el proyecto [Video para el foro], Entrevista [Video para el foro]
Las características de la evaluación, La evaluación, Las evidencias de aprendizaje, Juego libre [Video para el foro], Gallito Ciego [Video para el foro], Armado del balero [Video para el foro], Comunicación del proyecto [Video para el foro]
Autoevaluación del proyecto
Course: Управление анализом данных
Modules:
О чем этот курс?, Цикл анализа данных, Этапы анализа данных, Шесть типов вопросов, Характеристики хорошего вопроса, Цели и ожидания исследовательского анализа данных, Использование моделей для исследования данных (Часть 1), Использование моделей для исследования данных (Часть 2), Исследовательский анализ данных. Когда остановиться?, Составление выводов из данных. Введение, Разнообразие форм генеральных совокупностей, Вывод. Что может пойти не так, Общие принципы, Ассоциативный анализ, Прогнозный анализ, Вывод и прогноз, Интерпретация полученных результатов, Повседневное общение в анализе данных, Подготовка презентации анализа данных
Course: ¿Cómo (nos) cambia la Tecnología?
Modules:
Introducción: La tecnología esta en todas partes.
La tecnología es parte de las culturas.
La tecnología es apropiada por las personas y comunidades.
La tecnología cambia y evoluciona, produciendo efectos en sus comunidades.
Los origenes de la ciencia ficción son los orígenes de la imaginación del futuro.
Cualquier tecnología suficientemente avanzada es indistinguible de la magia.
La transformación de la tecnología modifica los relatos de la ciencia ficción del presente.
Los nuevos medios cambian la experiencia de vivir la ciencia ficción, el futuro y la tecnología
La obsolescencia, de la tecnología o de nuestra cultura, es producida por la humanidad.
La tecnología no es buena, ni mala, ni neutral.
La relación tecnología-sociedad es una pregunta con muchas respuestas posibles.
La tecnología puede ser feminista, revolucionaria y emancipadora.
La tecnología es el producto de la innovación de la humanidad.
Course: Цифровые медиа в сфере здравоохранения
Modules:
Введение, Что входит и что не входит в этот курс, Анализ поведения как основа работы, Понимание модели поведенческих драйверов, Анализ поведения в контексте, Использование аналитических данных: на примере отделения ЮНИСЕФ в Индонезии, Ситуационное исследование: меры борьбы с лихорадкой Эбола в Либерии, Резюме модуля
Введение в модуль, Планирование стратегии кампании, Определение целевой аудитории, Выбор аудитории, Выбор ресурсов, Введение: Ad Council, Составление брифа, Согласование целей и задач, Разработка полного брифа стратегии, Принцип 4 I, Ситуационное исследование: скрининг рака легких, Ситуационное исследование (продолжение): результаты кампании, Резюме модуля
Введение в модуль, Эффективное ведение просветительской онлайн-работы в области здравоохранения, Сложные модели поведения, связанного со здоровьем, Обращение к аудитории с учетом ее ценностей, Мотивация защиты, Борьба с дезинформацией и мифами, Напоминания, Эффективные распространители информации, Ситуационное исследование: рекомендации по передаче информации, Метафоры и сторителлинг, Рекомендации по эффективной подаче информации, Ситуационное исследование: рекомендации по креативным материалам, Резюме модуля
Введение, Основные соображения по цифровым медиа, Практическая тактика: реализация вашей стратегии, Метрики должны быть конкретными, Ситуационное исследование: эффективность мемов на тему общественного здравоохранения, Ресурсы Meta, Важность предварительного тестирования, A/B-тестирование, Ситуационное исследование: сомнения в отношении вакцины против COVID-19, Резюме модуля
Введение в модуль, Постановка реальных целей, задач и KPI, Обзор метрик, Исследование Brand Lift, Ситуационное исследование: обеспечение равномерного спроса на вакцины от COVID-19, KAP и оценка с участием аудитории, Обзор методики исследования, Ситуационное исследование: обеспечение равномерного спроса на вакцины от COVID-19, Резюме модуля, Заключение по курсу, Выражение признательности и благодарности