dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Fundamentos: dados, dados, em todos os lugares
Modules:
Boas-vindas ao Certificado de Análise de Dados do Google, Introdução ao curso, Análise de dados na vida cotidiana, Cassie: dimensões da análise de dados, O que é o ecossistema de dados?, Como os dados informam melhores decisões, O que esperar daqui para frente
Descoberta de conjuntos de habilidades de dados, Principais habilidades de analistas de dados, Tudo sobre o pensamento analítico, Como explorar as principais habilidades analíticas, Uso de dados para gerar resultados de sucesso, Mágica dos dados reais
Aprendizado sobre ferramentas e fases dos dados, Estágios do ciclo de vida dos dados, Seis fases da análise de dados, Molly: Exemplo do processo de dados, Exploração das ferramentas do analista de dados
Os prós e contras das principais ferramentas de dados, Colunas, linhas e células, minha nossa!, SQL em ação, Angie: Lutas diárias ao aprender novas habilidades, Como se tornar um especialista em visualização de dados, Lilah: O poder de uma visualização
Vamos ao que interessa, O trabalho de um analista de dados, Joey: caminho para se tornar um analista de dados, Tony: Apoiar carreiras em análise de dados, O poder dos dados nos negócios, Rachel: Detetives de dados, Como compreender os dados e a imparcialidade, Alex: Decisões de dados imparciais e éticas, Analistas de dados em diferentes setores, Samah: Práticas recomendadas para entrevistas, Apanhado semanal, Parabéns! Conclusão do curso
Course: Automatiser les tâches de cybersécurité avec Python
Modules:
Introduction au cours 7, Ángel : mon parcours professionnel, Bienvenue dans la semaine 1, Python et la cybersécurité, Créer un script Python de base, Akash : Python et les professionnels de la cybersécurité, Types de données en Python, Travailler avec des variables en Python, Instructions conditionnelles en Python, Pour les boucles, Boucles while, Récapitulatif
Bienvenue dans la semaine 2, Introduction aux fonctions, Créer une fonction de base, Utiliser des paramètres dans les fonctions, Instructions return, Découvrir les fonctions intégrées, Modules et bibliothèques, Lisibilité du code, Récapitulatif
Bienvenue dans la semaine 3, Opérations de chaînes, Indices et tranches de chaînes, Opérations sur les listes en Python, Écrire un algorithme simple, Expressions régulières en Python, Récapitulatif
Bienvenue dans la semaine 4, Automatiser les tâches de cybersécurité à l'aide de Python, Accéder à un fichier texte en Python, Effectuer une analyse syntaxique d'un fichier texte en Python, Développer un algorithme d'analyse syntaxique en Python, Stratégies de débogage, Appliquer les stratégies de débogage, Récapitulatif, Récapitulatif du cours
Course: El Holocausto: el abismo de la humanidad
Modules:
TRAILER DEL CURSO, BIENVENIDOS AL CURSO, LA VIDA JUDÍA ANTES DE LA SEGUNDA GUERRA MUNDIAL, TESTIMONIOS DE SOBREVIVIENTES DEL HOLOCAUSTO SOBRE LA VIDA ANTES DE LA GUERRA, INTRODUCCIÓN AL ANTISEMITISMO, ANTISEMITISMO EN LA ANTIGÜEDAD TARDÍA Y EN LA EDAD MEDIA, ANTISEMITISMO MODERNO, EL ASCENSO DEL NAZISMO AL PODER EN LOS AÑOS 1930, EL ANTISEMITISMO NAZI, GLEICHSHALTUNG Y LOS JUDÍOS BAJO LA ALEMANIA NAZI, POLÍTICAS ANTI-JUDÍAS Y LA REACCIÓN DE LOS JUDÍOS EN ALEMANIA, CHARLOTTE SALOMON, LA POLÍTICA EXTERIOR DE LA ALEMANIA NAZI, LA CONFERENCIA DE EVIÁN, INTRODUCCIÓN AL BARCO SAINT LOUIS, CONCLUSIÓN
BIENVENIDOS A LA SEMANA 2, OCUPACIÓN DE POLONIA, INTRODUCCIÓN A LOS GUETOS, TESTIMONIOS DE SOBREVIVIENTES RELATANDO SOBRE SU EXPERIENCIA EN LOS GUETOS, RINCÓN DE ARTE: PETR GINZ, EL GUETO DE VARSOVIA, EL GUETO DE LODZ, EL GUETO DE VILNA, INTRODUCCIÓN A LOS JUDENRATE, RINCÓN DE ARTE: ESTHER LURIE, CONCLUSIÓN
BIENVENIDOS A LA SEMANA 3, INTENCIONALISTAS Y FUNCIONALISTAS, EL ASESINATO EN EL TERRITORIO DE LA UNIÓN SOVIÉTICA, TESTIMONIO DE DINA BEITLER, AMPLIACIÓN DEL ASESINATO, EL SISTEMA DE LOS CAMPOS NAZIS, LA VIDA COTIDIANA EN LOS CAMPOS, RINCÓN DE ARTE: HALINA OLOMUCKI, LA RESISTENCIA EN LOS CAMPOS, EL FINAL DE LA SEGUNDA GUERRA MUNDIAL, EL MUNDO NO JUDÍO Y SUS REACCIONES, EL TESTIMONIO DE BRACHA WIENER MANDEL EN EL ESCONDITE, JUSTOS DE LAS NACIONES, REACCIONES  DE JUDÍOS, LA LIBERACIÓN, TESTIMONIOS DE SOBREVIVIENTES RELATANDO SU LIBERACIÓN, RINCÓN DE ARTE: YEHUDA BACON, EL REGRESO A LA VIDA, LOS JUICIOS DE NÚREMBERG: INTRODUCCIÓN, EL DESTINO DE ALGUNOS DE LOS PERPETRADORES QUE ESCAPARON A AMÉRICA LATINA, CONCLUSIÓN
BIENVENIDOS A LA SEMANA 4, LA REACCIÓN DEL MUNDO. POLÍTICAS DE RECEPCIÓN DE SOBREVIVIENTES EN AMÉRICA LATINA, CAMBIOS EN LA DEMOGRAFÍA DE LA POBLACIÓN JUDÍA DESPUÉS DE LA SEGUNDA GUERRA MUNDIAL, LLEGADA, ADAPTACIÓN Y RECONSTRUCCIÓN DE LAS VIDAS DE LOS SOBREVIVIENTES EN AMÉRICA LATINA, COLECCIÓN DE TESTIMONIOS DE SOBREVIVIENTES EN AMÉRICA LATINA, TESTIMONIOS DE SOBREVIVIENTES, EL ANTISEMITISMO CONTEMPORÁNEO Y LA NEGACIÓN DEL HOLOCAUSTO EN AMÉRICA LATINA, LA MEMORIA EN GENERAL, LA CONMEMORACIÓN DEL HOLOCAUSTO EN YAD VASHEM, LA CONMEMORACIÓN Y EDUCACIÓN DEL HOLOCAUSTO EN AMÉRICA LATINA, LA CONMEMORACIÓN Y EDUCACIÓN DEL HOLOCAUSTO EN ESPAÑA, CONCLUSIÓN DE LA SEMANA: INTRODUCCIÓN A LOS TALLERES EDUCATIVOS DE LA PRÓXIMA SEMANA, CONCLUSIÓN DE LA PARTE HISTÓRICA DEL CURSO
BIENVENIDOS A LA SEMANA 5, PEDAGOGÍA EDUCATIVA DE YAD VASHEM, LA VIDA DE LOS JUDÍOS ENTREGUERRAS, ANTISEMITISMO, IDEOLOGIA NAZI, GUETOS, LA SOLUCIÓN FINAL-LOS PERPETRADORES, JUSTOS DE LAS NACIONES, MEMORIA, REGRESO A LA VIDA, CONCLUSIÓN
Course: Uso de Python para Acceder a Datos Web
Modules:
Bienvenidos al Curso, Bienvenidos a Python - Guido van Rossum, Windows 10: Instalar Python y Escribir un Programa, Windows: Tomar de Capturas de Pantalla, Macintosh: Usar Python y Escribir un Programa, Macintosh: Tomar Capturas de Pantalla
11.1 - Expresiones Habituales, 11.2 -Extracción de Datos, Material Adicional: Horario de Oficina - Den Haag, Entrevista Adicional: Bjarne Stroustrup - C ++
12.1 - Tecnología en Redes, 12.2 - Protocolo de Transferencia de Hipertexto (HTTP), Ejemplo Resuelto: Conectores (Capítulo 12), Uso de la Consola del Desarrollador para Explorar HTTP, Material Adicional: Leonard Kleinrock - Los 2 Primeros Paquetes de ARPANET, Video Adicional: Robert Cailliau - Co-inventor de la Web, Material Adicional: Horario de Oficina - Atlanta GA (Buckhead), Diversión: Dr. Chuck en CNN Leyendo las Noticias
12.3 - Caracteres y Cadenas Unicode, 12.4 - Recuperación de Páginas Web, Ejemplo Resuelto: Uso de Urllib (Capítulo 12), 12.5 -Análisis de Páginas Web, Ejemplo Resuelto: BeautifulSoup (Capítulo 12), Material Adicional: Horario de Oficina - Montreal, Entrevista Adicional: Tim Berners-Lee - Inventor de la Web, Diversión: Tengo mi Mojo Trabajando - Ginebra, Suiza
13.1 - Datos en la Web, 13.2 Lenguaje de Marcado eXtensible (XML), 13.3 - Esquema XML, 13.4 - Analizar XML, Ejemplo Resuelto: XML (Capítulo 13), Entrevista: Roy Fielding - Comprender la Arquitectura REST, Material Adicional: Horario de Oficina - Boston, Video Adicional: Ian Horrocks / RDF / OWL (Avanzado)
13.5 - Notación de Objetos JavaScript (JSON), Ejemplo Resuelto: JSON (Capítulo 13), Entrevista: Douglas Crockford - Descubrir el JSON, 13.6 - Enfoque Orientado al Servicio, Video: Arquitecturas Orientadas al Servicio, 13.7 - Uso de Interfaces de Programación de Aplicaciones, Ejemplo Resuelto: API GeoJSON (Capítulo 13), 13.8 - Protección de Solicitudes de API, Ejemplo Resuelto: API de Twitter (Capítulo 13), Material Adicional: Horario de Oficina - Melbourne, AU, Material Adicional: Horario de Oficina - Santa Mónica, CA, Material Adicional: Reunión de Clase en Bletchley Park
Course: Création de designs et de prototypes haute fidélité dans Figma
Modules:
Introduction au Cours 5 : Créer des designs et des prototypes haute-fidélité dans Figma, Kunal - Mon parcours vers l'UX, Bienvenue dans la semaine 1, Introduction aux maquettes, Chikezie - Transition des designs basse-fidélité aux designs haute-fidélité, Introduction aux éléments fondamentaux du Visual design, La typographie dans le design UX, L’importance de la typographie, La couleur dans le design UX, L’iconographie dans le design UX, Ajouter des images à vos maquettes, Introduction aux mises en page, Utiliser des grilles pour guider les mises en page, Utiliser la séparation dans les mises en page, Utiliser un espace négatif (blanc) dans les mises en page, Synthèse : Commencer à créer des maquettes
Bienvenue dans la semaine 2, L’emphase en design UX, Hiérarchie dans le design UX, Échelle et proportions dans le design UX, Unité et variété dans le design UX, Appliquer les principes de la Gestalt aux maquettes, Réfléchissez à votre progression, Synthèse : Application des principes de Visual design aux maquettes
Bienvenue dans la semaine 3, Introduction aux design systems, Avantages des design systems, Le design system de Google : Material Design, Le design system de Shopify : Polaris, Créer une feuille d'autocollants dans Figma, Utiliser une bibliothèque de design systems dans Figma, Shabi - Tenir compte des technologies d'assistance lorsque l'on travaille sur les design systems, Synthèse : Explorer les design systems
Bienvenue dans la semaine 4, Donner et recevoir un feedback en tant que designer UX, Les bases des sessions de critique de design, Meilleures pratiques pour les sessions de critique de design, Kunal - Mon expérience avec les sessions de critique de conception, Introduction à une simulation de session de critique, Observer une simulation de session de critique, Transformer le feedback d’une session de critique en actions, Itérer sur les simulations en fonction du feedback des sessions de critique, Synthèse : Participation à des sessions de critique de design
Bienvenue dans la semaine 5, Introduction aux prototypes haute-fidélité, Élaborer un prototype haute-fidélité dans Figma, Gestes et mouvements en design UX, Ajouter des gestes et des mouvements dans Figma, Considérations d'accessibilité pour les gestes et les mouvements, Jen - Le design avec l’accessibilité à l’esprit, Apprendre de Figma - Interactions et retours sur les prototypes, Synthèse : Créer des prototypes haute-fidélité
Bienvenue à la semaine 6, Planifier une étude de recherche UX, Mener une étude d'utilisabilité, Analyser et synthétiser les résultats d’étude d'utilisabilité, Itération des designs haute-fidélité, Identifier le moment où un design est terminé, Documenter et partager des designs, Transmettre les designs pour production, Apprendre de Figma - Se préparer à la transmission, Créer une étude de cas pour votre projet de portfolio, Synthèse : Test et itération des designs, Félicitations, vous avez terminé le Cours 5 : Créer des designs et des prototypes haute-fidélité à l’aide de Figma
Course: Programming with Golang
Modules:
Course Introduction, Introduction to Go, Go Features and Domains, Packages and Import, Variables, Data Types, Constants, Conditional Statements, Looping Statements, Break and Continue, Goto Statements, Defer Statements - I, Defer Statements - II, Setup Local Go Environement - I, Setup Local Go Environement - II, First Go Program, Golang Program Examples
Introduction to Scope, Scope Categories, Lexical Scoping, Introduction to Data Types, Go Data Types - Numbers, Boolean and Strings, Pointers, Arrays in Golang, Slices in Golang, Slices Examples, Maps - I, Maps - II, Functions, Methods
Error Handling, Techniques for Error Handling, Error Handling Techniques, Introduction to Structs, Accessing Structure Members, Pointer Receivers, Introduction to Interfaces, Implementing Interfaces
Introduction to Concurrency, Go Routines, Anonymous Goroutine, Goroutine Synchronization, Introduction to Go Channels, Buffered channel, Unbuffered channel, How to use channels, The Select Statement, Select Statement Cases
Introduction to Go Packages, Advanced Package Concepts, Using Packages in Go, Frequently Used Packages, Http Package, Introduction to Go Modules, Creating Go Modules, Publishing Go Modules, Adding Dependencies, Introduction to Operations, Read and Write in File, File Locking
Programming with Golang: Course Summary
Course: Code Free Data Science
Modules:
Welcome to the Code Free Data Science Class, Welcome to Module 1, First Joke, Big Data Characteristics and Applications, Big Data Applications, Big Data Analytics, Introduction to Data Mining
Welcome to Module 2, Module 2 Joke, Introduction to KNIME Analytics Platform, Install KNIME Analytics Platform, Exploring KNIME Workspace, Creating new workflows in KNIME, My First KNIME Workflow Exercise, Node Operations in KNIME, Data Types and Formats in KNIME, Creating Analytics Workflow in  KNIME
Intro to Module 3, Intro to Data Manipulation in KNIME, Rule Engine, String Manipulation, String Replacer, String Splitting and Column Combining, Column Resorter, Type Conversions, Database Operations, Scatterplot, Color Manager in KNIME, Line Plot, Parallel Coordinate Plot, Bar Charts
Welcome to Module 4, Module 4 Joke, Introduction to Data Science, Introduction to Decision Tree Induction, Building Decision Tree Model in KNIME, Decision Tree Workflow, Intro to K-means Clustering, K-means Clustering In KNIME
Course: Architecting with Google Kubernetes Engine: Production em Português Brasileiro
Modules:
Introdução ao curso, Primeiros passos com o Google Cloud Platform e o Qwiklabs
Introdução, Autenticação e autorização, Cloud IAM, Tipos de papéis do IAM, RBAC no Kubernetes, Como anexar papéis, Segurança do plano de controle do Kubernetes, Segurança de pods, Como aplicar as políticas de segurança para pods, Introdução ao laboratório, Coursera: Primeiros passos com o Google Cloud Platform e o Qwiklabs, Introdução ao laboratório, Resumo
Introdução, Pacote de operações do Google Cloud, Noções básicas de geração de registros, Geração de registros com o Kubernetes e o Stackdriver, Monitoramento, Introdução ao laboratório, Sondagens, Introdução ao laboratório, Resumo do módulo
Introdução ao módulo, Como usar os serviços do Google Cloud, Como usar APIs, Como usar o Cloud Storage, Como usar bancos de dados do Google Cloud, Bigtable, Firestore, Cloud SQL, Cloud Spanner, Bigquery, Introdução ao laboratório, Árvore de decisão, Resumo
Introdução, Visão geral do pipeline de CI/CD, Espectro de CI/CD, Exemplos de ferramentas de CI/CD, Introdução ao laboratório, Solução do laboratório, Exemplos de pipelines, Exemplos de arquiteturas de CI/CD, Resumo
Course: Amazon Connect Instance Fundamentals
Modules:
Amazon Connect Instance Fundamentals
Course: Data Analysis and Visualization
Modules:
Introduction to Data Analysis and Visualization, Context, Objectives, and Analysis Plans, Excel, R, MINITAB, MATLAB, and Python, Techniques and Best Practices, Dan Gerena Discusses Maximizing the Value of Data, Introduction to Visualization
Objectives, Variation Sources, Control and Specification Limits, Variation Analysis, Process Performance
Guiding Principles, Data Story, Tableau, Excel, and Power BI, Dan Gerena Discusses Data Visualization, Insight Evaluation, Testing and Re-Evaluation, Dan Gerena Discusses Sustaining a Data-Driven Strategy
Project: Data Analysis and Visualization
Course: Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Modules:
Matrix Operations, Inverse Matrices, Characterizations of Invertible Matrices
Subspaces of R^n, Dimension and Rank
Introduction to Determinants, New Video, Cramer's Rule, Volume, and Linear Transformations
Introduction to Eigenvalues and Eigenvectors, The Characteristic Equation
Diagonalization, Eigenvectors and Linear Transformations
Markov Chains
Course: Exam Prep AZ-120: Azure for SAP Workloads Specialty
Modules:
Introduction - Course Overview, Azure for Business-Critical Systems, Customer success stories, Partnership between Microsoft and SAP, Common misconceptions, Azure VMs Certified for SAP HANA, SAP HANA Large Instances, SAP Cloud Appliance Library, Certified OS for SAP products on Azure, Non-NetWeaver SAP products on Azure
SAP NetWeaver - Part 1, SAP NetWeaver - Part 2, SAP S4 HANA, SAP HANA in Azure, Azure Site Recovery, Azure Extension for SAP
Azure Compute for SAP Workloads, Performance Benchmark Test Part 1, Performance Benchmark Test Part 2, Networking for SAP workloads Part-1, Networking for SAP workloads Part 2, Supported scenarios for HANA Large Instances, Identity services for SAP workloads, Planning and Deployment Checklist, Strategies for Migrating SAP Systems to Azure
SAP NetWeaver Instance Implementations, HANA large instance in Azure - Part 1, HANA large instance in Azure - Part 2, Automating SAP deployments in Azure, Migration using replication Part 1, Migration using replication Part 2, SAP Database Migration Option Part 1, SAP Database Migration option Part 2, Implementing Azure AD-based Authentication Part 1, Implementing Azure AD-based Authentication Part 2, Configure Load Balancer between ASCS instances Part 1, Configure Load Balancer between ASCS instances Part 2, Configure Load Balancer between HANA instances, Install a Windows VM for SAP Web Dispatcher
Azure Backups, Patch Management, Disaster Recovery using ASR Part 1, Disaster Recovery using ASR Part 2, Deallocating VMs and saving costs, Vertical scaling for Azure VMs, Monitoring Azure VMs, ABAPMETER Test, Microsoft references, SAP Notes reference, Course Conclusion
Course: El arte de emprender: de la idea al éxito
Modules:
Bienvenida, Talento en los equipos, Liderazgo de equipo, Ownership en el colaborador, Claves para la contratación del talento, Cultura y crecimiento, Retención del talento, Equidad e inclusión
Course: Procesamiento de Imágenes
Modules:
Introducción
Definiciones, Ejemplo simple, Adquisición de imágenes, Pixeles
Introducción, Transformaciones geométricas, Interpolación, Histogramas, Ecualización de histogramas, Operaciones aritméticas y lógicas, Filtros usando máscaras
Introducción, Representación RGB, Segmentación por umbral, Segmentación por clustering, Espacios de color, Mejoramiento de imágenes a color
Introducción, Convolución, Función impulso, Transformada de Fourier 1D, Transformada de Fourier 2D, Muestreo, Implementación de filtros
Introducción, Modelos de degradación, Restauración de movimiento lineal uniforme, Restauración en 2D, Deconvolución
Introducción, Dilatación y erosión, Cierre y apertura, Otros filtros morfológicos, Mediana, Gradiente morfológico, Filtro TopHat
Introducción, Detección de bordes, LoG y Canny, Segmentación por umbral, Segmentación basada en regiones, MSER
Course: Economie du sol et de l'immobilier II
Modules:
Mots de bienvenue, Objectifs et description, Informations sur le contrôle de l'apprentissage, Le BOOC du MOOC
Vidéo: Prix foncier et prix immobilier, Vidéo: Compte à rebours du prix foncier, Vidéo: Méthode par déduction, Vidéo: Déterminants du prix foncier, Vidéo: Le rôle des droits à bâtir
Vidéo: Causalité, Vidéo: L'incidence foncière, Vidéo: Le principe du "best owner", Vidéo: La chaîne de valeur du foncier, Vidéo: Evaluation foncière
Vidéo: Offre de terrains, Vidéo: Demande de terrains, Vidéo: Marché foncier, Vidéo: Equilibre du marché, Vidéo: Perturbations de l'équilibre
Vidéo: Vertus de l'équilibre du marché, Vidéo: Surplus, Vidéo: Variations des surplus, Vidéo: Restriction de prix, Vidéo: Restriction de quantité, Vidéo: Imperfections des marchés
Vidéo: Autres marchés, Vidéo: Liens entre deux marchés, Vidéo: Liens entre quatre marchés, Vidéo: Transmission
Vidéo: Modèles de villes, modèles économiques, Vidéo: Modèles de ville, du normatif à l'élémentaire, Vidéo: Modèles économiques, logiques d'interaction, Vidéo: Approches qualitatives de la ville, Vidéo: Du local au global, Modèles multiples
Conclusion et remerciements
Course: Engaging in Strategic Management in Healthcare Organizations
Modules:
Strategic Options, BIDMC Example, The Business Planning Process
What is a Strategic Plan?, Impact of New Medical Devices on Healthcare Institutions, Cooperation Among Service Lines, Steps to Meet Community’s Needs
Mergers and Acquisitions, Motivating Factors Behind Market Concentration, Better Integration, BIDMC and Atrius Health Example, Disruptive Innovators
What Can Go Wrong in a Planning Exercise?, Planning for Unexpected Risks, What Can Go Wrong Once The Plan is Prepared?, Models of Leadership, Leadership Authority Story, How Does It Impact Your Organization, Course Summary, Calling Out and Solving Systemic Problems, Calling Out and Solving Problems: The Story of Gloria Martines
Course: Data Warehousing: Schema, ETL, Optimal Performance
Modules:
Introduction to the Course & Meet Your Instructor, Comprehending Data Warehousing, Schema Design Principles, Introduction to ETL Processes, Data Extraction Techniques, Data Transformation and Cleaning, Loading Data into Data Warehouses, Performance Optimization Strategies, Query Optimization Techniques, Best Practices for Data Warehousing, Congratulations and Continuous Learning Journey
Course: Amazon Connect Chat and Messaging Fundamentals
Modules:
Amazon Connect Chat and Messaging Fundamentals
Course: Building Interactive 3D Characters and Social VR
Modules:
Introduction to Social VR and Virtual Characters, Virtual Characters | Realism, Agents and Avatars, Applications of Virtual Characters, Introduction to Character Animation, Cristina, Designing Virtual Characters, Importing a Virtual Character to Unity, Embodiment in Unity using Mobile VR, Project Briefing
Introduction to Body Language, Introduction to Skeletal Animation, Introduction to Motion Capture, Speech, Posture and Gesture, Backchannel, Sensing the User’s Body Language, Proxemics, Body Language for Avatars, Applying Motion Capture Data onto a Virtual Character, Speech Interaction, Gesture Interaction
Introduction to Facial Expressions | The Psychology, Introduction to Facial Expressions, Introduction to Facial Expression in Unity, Blinking and Lip Sync Animation, The Importance of Gaze in Social Interaction, Gaze Interaction, Other Facial Features and Their Psychological Effect
Introduction to Social VR, The Psychology Behind Social Interaction, Challenges in Human-Avatar Interaction, Challenges in Human-Agent Interaction, Evaluation of Social Interaction in VR, Self-Avatar | Implementation and Applications, Summary of Social VR
Course: Camino a la Excelencia en Gestión de Proyectos
Modules:
¿Qué es Lean Production?, Origen de Lean Production, Comparación de Lean Production vs Producción en masa, ¿Qué es Lean Project Management?
Filosofía Lean, 5 Principios Lean, 14 principios lean (1ra parte), 14 principios Lean (2da parte), Pérdidas de Lean, Pérdidas en industrias
Características de la Cultura Lean, Contratos Relacionales, Integrated Project Delivery
Tecnología Lean, Value Stream Maping, Target Value Design, Choosing by Advantages, Set-Based Design, Last Planner System, Last Planner System (2da parte), Reporte A3
¿Qué es Lean?, Evolución de Lean desde la manufactura a la gestión de proyectos, Ejemplo de aplicación de herramientas Lean en Gestión de Proyectos, Barreras de implementación de Lean en Gestión de Proyectos, Futuro de Lean en Gestión de Proyectos
Course: Tencent Cloud Solutions Architect Professional
Modules:
Principles of Cloud Architecture Design, General Scenarios of Cloud Architecture Design, Mappings Between General Scenarios and Services
Assessment of Cloud Migration, Overall Process of Cloud Migration, Overview of Migration Tools, Common Migration Modes, Case Studies
Overview of Cloud Native Applications, Implementation of Serverless Architecture in Tencent Cloud
Overview of In-Cloud High Availability, Building High-Availability Architecture for the Outer Layer Network, Building High-Availability Architecture for the Access Layer, Building High-Availability Architecture for the Application Layer, Building High-Availability Architecture for the Middleware Layer, Building High-Availability Architecture for the Data Layer
Overview of Handling Traffic Peaks, Handling Traffic Peaks at the User and Application Access Layer, Handling Traffic Peaks at the Web and Service Layer, Data Cache Architecture Design, Async Message Queue Architecture Design, Handling Traffic Peaks at the Data Layer, Handling Abnormal Traffic Peaks
Cloud Security Systems and Standards, Data Security Protection in Tencent Cloud, Access Control Implementation in Tencent Cloud
Overview of Big Data, Big Data Modes, Tencent Cloud’s Big Data Service System, Tencent Cloud’s EMR Solution
Overview of Hybrid Cloud, Architecture Design of Hybrid Cloud, Hybrid Cloud Management, Tencent’s Hybrid Cloud
The Development and Application of AI, Tencent Cloud’s AI Service System, Tencent Cloud’s AI Solutions
Tencent Cloud’s Gaming Ecosystem and Capabilities, Overview of the Gaming Industry’s Characteristics, Cloud Architecture Solution Design for the Gaming Industry, Tencent Cloud Case Studies for the Gaming Industry
Overview of the Video Industry, Live Streaming Solution Design, VOD Solution Design, RTC Solution Design, Case Studies for the Video Industry
Case Background, Stage 1: Improve the Service Stability, Stage 2: Provide Services in Multiple Regions, Stage 3: Optimize the Architecture Based on the Business Processes
Sign-up for the Proctored Exam!
Course: Uso de bases de datos con Python
Modules:
Bienvenida al uso de bases de datos con Python, Caracteres y cadenas Unicode, Windows 10: Instalación de Python y escritura de un programa, Windows: Toma de capturas de pantalla, Macintosh: Cómo usar Python y escribir un programa, Macintosh: Toma de capturas de pantalla, 14.1 - Definiciones y terminología orientadas a objetos, 14.2 - Nuestra primera clase y objeto, 14.3 - Ciclo de vida del objeto, 14.4 - Herencia de objetos, Bonificación: Entrevista: Ingeniería de software, Bertrand Meyer, Bonificación: Horario de oficina, Londres
15.1 Bases de datos relacionales, 15.2 - Uso de bases de datos, 15.3 - CRUD de tabla única, Ejemplo de trabajo: Recuento de correos electrónicos en una base de datos, Bonificación: Horario de oficina, Zagreb, Croacia, Entrevista: Elizabeth Fong, Los primeros años de SQL, Ejemplo de trabajo: Twspider.py (Capítulo 15)
15.4 - Diseño de un modelo de datos, 15.5 - Representación de un modelo de datos en tablas, 15.6 - Inserción de datos relacionales, 15.7 - Reconstrucción de datos con JOIN, Ejemplo de trabajo: Tracks.py (Capítulo 15), Bonificación: Horario de oficina, Perth, Australia, Entrevista de bonificación: Niklaus Wirth, Bonificación: Horario de oficina, Barcelona
15.8 - Relaciones de varios a varios, Ejemplo de trabajo: roster.py (Capítulo 15), Bonificación: Horario de oficina, México, Ciudad, Entrevista de bonificación: Andrew Tannenbaum, Minix, Ejemplo de trabajo: Twfriends.py (Capítulo 15)
16.1 - Geocodificación, 16.2 - Visualización de geocodificación, Ejemplo de trabajo: Geodatos (Capítulo 16), Bonificación: Horario de oficina, Ámsterdam, Entrevista de bonificación: Richard Stallman, Free Software Foundation, Entrevista de bonificación: Brian Behlendorf, Apache Foundation
Course: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Modules:
Train / Dev / Test sets, Bias / Variance, Basic Recipe for Machine Learning, Regularization, Why Regularization Reduces Overfitting?, Dropout Regularization, Understanding Dropout, Other Regularization Methods, Normalizing Inputs, Vanishing / Exploding Gradients, Weight Initialization for Deep Networks, Numerical Approximation of Gradients, Gradient Checking, Gradient Checking Implementation Notes, Yoshua Bengio Interview
Mini-batch Gradient Descent, Understanding Mini-batch Gradient Descent, Exponentially Weighted Averages, Understanding Exponentially Weighted Averages, Bias Correction in Exponentially Weighted Averages, Gradient Descent with Momentum, RMSprop, Adam Optimization Algorithm, Learning Rate Decay, The Problem of Local Optima, Yuanqing Lin Interview
Tuning Process, Using an Appropriate Scale to pick Hyperparameters, Hyperparameters Tuning in Practice: Pandas vs. Caviar, Normalizing Activations in a Network, Fitting Batch Norm into a Neural Network, Why does Batch Norm work?, Batch Norm at Test Time, Softmax Regression, Training a Softmax Classifier, Deep Learning Frameworks, TensorFlow
Course: Industrial Optimization: Models & Linear Programming
Modules:
Course Introduction, Meet Your Faculty, Example of Gauss-Jordan Method (Algebraic Form), Example of Gauss-Jordan Method (Matrix Form), Prototype Example (Wyndor Glass Problem) Formulation and Graphical Solution, Prototype Example Graphical Solution Using IOR Tutorial
Example of LINGO in Explicit Mode, Cargo Loading Problem Formulation, Cargo Loading Problem in LINGO Modeling Language Mode
Simplex in Tabular Form, Simplex using IOR Tutorial
Big-M Method, Big-M Method using IOR Tutorial
Course: Entrepreneurship Capstone
Modules:
Welcome to the Entrepreneurship Capstone, Guest Lecture with U.S. Secretary of Commerce Penny Pritzker - What Advice Do You Have For Aspiring Entrepreneurs?, Does your solution create value for your stakeholders?, What is value innovation?, Is the problem real?, Is your advantage superior and sustainable?, Can you build the right team at the right time?, Will your business model work?, Crafting the business model canvas: Part 1, Crafting the business model canvas: Part 2
Customer segments, value propositions, and product features, Customer types, Customer segments and business models, Customer archetypes, Minimum viable product, How to interview customers
Sizing the Opportunity (2:50), Finding Patterns (1:50), Looking for Insights (0:58)
Developing the marketing mix: Part 1, Developing the marketing mix: Part 2, Pricing, Sales forecasting, Managing the sales pipeline
Guest Lecture with U.S. Secretary of Commerce Penny Pritzker - What Decisions Did You Make to Get Your Business Off the Ground?, Product fit, Building the right revenue model, Scaling sales, Building the company
Defining the business plan, Authoring the business plan
Course: Understanding Modern Physics I: Relativity and Cosmology
Modules:
Introduction, Principles of Relativity, Speed of Light, Postulates, Light Clock, Time Dilation, 4-Step Reasoning, Twin Paradox, Physical Picture, Interferometers (* optional video), Ether (* optional video), Speed of Light from Maxwell (* optional video), Units (* optional video), Weekly Summary
Introduction, Length Contraction, Length in 4-Step Reasoning (* optional video), Velocity Addition: First Look (* optional video), Terrell Rotation (* optional video), Device for "Same Time", Spacetime Diagram, Relativity of Same Time, Twin Paradox Revisited (* optional video), Causality, No Perfect Rigid Body, Ladder Paradox, Lorentz Transform, Space Part, Lorentz Transform, Time Part, Effects From Lorentz Transform, Velocity Addition, Summary
Introduction, Geometry, Lorentzian and Euclidean, Invariant Interval, Conserved Quantities, Newtonian Momentum, Momentum, Kinetic Energy, Mass Conservation?, Energy, 4D Vectors, Doppler Effect (* optional video), Spacetime Metric (* optional video), Natural Units (* optional video), Summary
Introduction, Why gravity is related to inertia?, Equivalence Principle, Time Dilation, Schwarzschild Metric, Light Bending, Gravitational Lensing, Black Holes, Journey of Falling in, Are Black Holes Black?, Gravitational Waves, Summary
Olber's Paradox, The Observable Universe, Cosmological Principle, Friedmann Equation, Hubble Law, Continuity Equation, Matter Content, Origins and Summary
Course: Entrepreneurial Mindset
Modules:
Welcome, Now we know something we didn’t, Social and technological megatrends
Problem-Solution Fit, Product-Market Fit, Business Model Fit, How do we build a business model?
Business Models, Pivoting and Iteration
Venture capital, Entrepreneurial teams
Course: Cloud Operations and Service Mesh with Anthos
Modules:
Course Introduction
Module overview, Coursera: Getting Started with Google Cloud Platform and Qwiklabs, Lab intro: Anthos Service Mesh Walkthrough, Lab Review, The need for a service Mesh, Separating Application from Network Functionality, Architecture, Installation, Life of a request in the mesh, Mesh telemetry and instrumentation, Anthos Service Mesh dashboards, Anthos Service Mesh pricing and support, Lab intro: Observing Anthos Services
Module overview, Networking and service discovery, Anthos Service Mesh API resources, Network resilience and testing, Lab intro: Managing Traffic Flow with Anthos Service Mesh
Module overview, Security across services, Authentication and encryption, Service authentication in the mesh, End-user authentication in the mesh, Authorization in the mesh, Bonus: Employee authentication and authorization in the mesh, Lab intro: Securing Traffic with Anthos Service Mesh
Module overview, Fleet networking, Multiple network east-west routing, North-south routing, Lab intro: Configuring a multi-cluster mesh
Course: Linux for beginners with Hands-on Labs
Modules:
Course Introduction, WAR! (story), Bob's first day at work
Introduction to Shell, Basic Linux Commands, Command-line Help, Bash Shell, Bob's first team meeting
Linux Kernel, Working with Hardware, Linux Boot Sequence, Runlevels, File Types, Filesystem Hierarchy
Package Management Introduction, RPM and YUM, DPKG and APT, APT vs  APT-GET
Behind Schedule, File Compression and Archival, Searching for Files and Patterns, IO Redirection, VI Editor
The network Issue, DNS, Networking Basics, Troubleshooting
Security Incident, Linux Accounts, Access Control Files, User Management, File Permissions and Ownership, SSH and SCP, IPTABLES Introduction, IPTABLES - Securing the Environment, Cronjobs
Working Overtime, Creating a SYSTEMD Service, SYSTEMD Tools
Where is my storage?, Disk Partitions, File Systems in Linux, DAS, NAS and SAN, NFS Filesystem, LVM, Project Status Meeting
The Client Demonstration in Jeopardy!, Finale
Course: Melakukan Riset UX dan Uji coba Konsep Awal
Modules:
Pengantar Materi 4: Melakukan Riset UX dan Uji coba Konsep Awal, Sam - Bekerja sebagai Peneliti UX secara autodidak, Jason - Perjalanan saya menuju UX, Memahami proses penelitian UX, Mengenali tujuh elemen rencana penelitian, Mulai membuat rencana penelitian: latar belakang proyek, tujuan penelitian, dan pertanyaan penelitian, Melanjutkan penyusunan rencana penelitian: Indikator Kinerja Utama (Key Performance Indicators, KPI), Melanjutkan penyusunan rencana penelitian: Metodologi, Melanjutkan penyusunan rencana penelitian: Peserta, Menyelesaikan rencana penelitian: Naskah, Menjadikan privasi sebagai bagian dari praktik UX, Memahami masalah privasi, Vanessa - Etika, privasi, dan data di dunia nyata, Akhir kata: Merencanakan studi penelitian UX
Selamat datang di Minggu ke-2, Pengantar studi kegunaan, Melakukan studi kegunaan yang dimoderasi dan tidak dimoderasi, Pengantar studi kegunaan tiruan yang tidak dimoderasi, Peserta A - Studi kegunaan tiruan, Peserta B - Studi kegunaan tiruan, Peserta C - Studi kegunaan tiruan, Peserta D - Studi kegunaan tiruan, Peserta E - Studi kegunaan tiruan, Mengeksplorasi praktik terbaik studi kegunaan: Sebelum studi dimulai, Mengeksplorasi praktik terbaik studi kegunaan: Selama studi dilakukan, Deana - Pekerjaan saya sebagai peneliti UX, Mengidentifikasi bias saat mewawancarai peserta studi kegunaan, Mengurangi bias dalam wawancara, Pengantar metode pencatatan untuk studi kegunaan, Membuat catatan di spreadsheet, Chikezie - Perjalanan saya menuju UX, Kesimpulan: Melakukan penelitian dengan studi kegunaan
Dari pengamatan hingga wawasan, Studi kasus: Memperbaiki desain di Google, Mengembangkan wawasan, Mengumpulkan dan mengorganisasidata, Pola dan tema dalam data penelitian, Kualitas wawasan yang baik, Utkarsh - Penyusunan wawasan dari studi kegunaan, Penutup: Menganalisis dan melakukan sintesis hasil penelitian
Mengorganisir wawasan untuk dibagikan, Memilih format untuk berbagi wawasan, Membuat presentasi yang baik, Tips presentasi, Heather - Menyampaikan wawasan penelitian, Memodifikasi desain low-fidelity berdasarkan wawasan dari penelitian, Mengubah desain berdasarkan demo wawasan penelitian, Kesimpulan: Berbagi wawasan penelitian untuk desain yang lebih baik, Selamat, Anda telah menyelesaikan Materi 4: Melakukan Penelitian UX dan Menguji Konsep Awal
Course: Introduction to Additive Manufacturing Processes
Modules:
Introduction to this Specialization, Introduction to this course
Lecture Video: What is Additive Manufacturing?
Lecture Video: Additive Manufacturing Processes
Lecture Video: Additive Manufacturing Processes
Lecture Video: Introduction to Course 1 Project, Lecture Video: Course 1 Project Solution, Lecture Video: Course 1 Wrap-up
Course: 데이터 기반 의사결정을 위한 질문
Modules:
문제 해결 및 효과적인 질문 소개, 데이터 기반 조치, 니키: 데이터 분석 과정, 일반적인 문제 유형, 실무 문제, 안몰: 가설에서 결과까지, SMART 질문, 에반: 데이터를 통한 기회
데이터와 의사결정, 효과적인 의사결정을 위한 데이터 활용, 정성적 데이터와 정량적 데이터, 중요한 발견: 결과 공유, 데이터와 측정항목 비교, 수학적 사고
놀라운 스프레드시트, 스프레드시트 작업 시작, 스프레드시트 단계별 안내, 성공적인 작업을 위한 수식, 스프레드시트 오류 및 수정, 함수 입문, 문제 해결을 위한 문제 파악, 작업 범위와 구조적 사고, 객관성 유지
팀 내 의사소통, 팀 전반에서 요구사항과 기대치 간 균형 조정, 중요한 문제에 집중, 명확한 의사소통의 중요성, 효과적인 의사소통을 위한 팁, 기대치와 현실적인 프로젝트 목표 간 균형 조정, 사라: 이해관계자와 의사소통하는 방법, 데이터 기회비용: 속도와 정확성의 관계, 과정과 결과에 관해 생각, 회의 권장사항 따르기, 시메나: 새로운 팀에 합류, 갈등에서 협업으로, 네이슨: 미 해병대에서 데이터 애널리틱스로, 강좌 마무리, 마무리 인사
Course: Building Resilient Streaming Analytics Systems on GCP IT
Modules:
Introduzione al corso
Elaborazione dei flussi di dati
Introduzione al modulo, Introduzione a Pub/Sub, Push e pull di Pub/Sub, Pubblicazione con il codice Pub/Sub, Riepilogo, Introduzione al lab: Pubblicazione di flussi di dati in Pub/Sub, Coursera: Introduzione a Google Cloud e Qwiklabs
Introduzione al modulo, Sfide dei flussi di dati, Windowing di Dataflow, Introduzione al lab: pipeline di flusso
Introduzione al modulo, Flussi di dati in BigQuery e visualizzazione dei risultati, Introduzione al lab: Elaborazione dei flussi di dati: analisi e dashboard dei flussi di dati, Flussi di dati a velocità effettiva elevata con Bigtable, Ottimizzazione delle prestazioni di Bigtable, Introduzione al lab: Elaborazione dei flussi di dati: pipeline di flusso in Bigtable
Introduzione al modulo, Funzioni finestra di analisi, Funzioni GIS, Demo: Funzioni GIS e mappatura con BigQuery, Considerazioni sulle prestazioni, Introduzione al lab: Ottimizzare le query di BigQuery per le prestazioni, Considerazioni sui costi
Riepilogo del corso
Building Resilient Streaming Analytics Systems on Google Cloud
Course: How to Validate your Startup Idea
Modules:
Video: Introduction to the Course and Entrepreneurship (3 min), Video: How will your business idea evolve? The Lean Startup Method
Video: How is your idea valuable?
Video: How will you reach more customers?
Video: How profitable is your idea?
Video: Is investment capital right for you?
Video: How will you pitch your idea?, Watch UNSW students pitch 'crumplemap'
Course: Internet History, Technology, and Security
Modules:
Welcome to Class, Bonus: Office Hours - Manila, Philippines, Bonus: Offices Hours in Portland, OR
High Stakes Research in Computing, and Communication, Alan Turing and Bletchley Park, Bonus: Class Reunion at Bletchley Park, Post-War Computing and Communication, Using the Michigan Terminal System (through 6:00), Wrap up and Reflection, Bonus: Office Hours - Barcelona, Spain
History Through Supercomputing, Larry Smarr - NCSA, History Through NSFNet, Doug Van Houweling - NSFNet, Leonard Klienrock - The First Two Packets on the Internet, Katie Hafner - Where Wizards Stay Up Late, Bonus: Nii Quaynor - Bringing the Web to Africa, Bonus: Office Hours - Washington DC, USA
Getting to the Web, Robert Cailliau - Co-Inventor of the Web, The Web Becomes Content, Paul Kunz - The First Web Server in America, Building Mosaic, Joseph Hardin - NCSA Mosaic, Reflecting on Mosaic, Bonus: Office Hours - Mexico City, Mexico
The Year of the Web, Mitchell Baker: The Mozilla Foundation, Brendan Eich - Inventor of JavaScript, Assume the Web, Jeff Bezos - Founder of Amazon, The Modern Internet, Bonus: Tim Berners-Lee, Bonus: Office Hours - Melbourne, Australia
Introduction / The Link Layer, Bob Metcalfe - The Ethernet Story, The InterNetwork (IP), Vint Cerf - A Brief History of Packets, Bonus: Office Hours - Palo Alto, California, USA
Transport Layer, Van Jacobson - Slow Start Algorithm, The Domain Name System, TCP Wrap Up, Bonus: Office Hours - Ann Arbor, Michigan, USA
Application Layer, Van Jacobson - Content Centered Networking, Bonus: Office Hours - San Diego, California, USA
Security Introduction, Security - Encryption and Confidentiality, Security - Integrity and Signatures, Bruce Schneier: The Security Mindset
Security Public/Private Key - Secure Sockets, Diffie, Hellman, and Merkle  (YouTube only), Security - Integrity and Certificate Authorities, Bruce Schneier:  Building Cryptographic Systems
Graduation Ceremony
Course: Fundamentos do gerenciamento de projetos
Modules:
Este é o certificado de gerenciamento de projetos do Google, Introdução ao curso 1, O que é gerenciamento de projetos?, O que um gerente de projeto faz?, Habilidades transferíveis de gerenciamento de projetos, X: O caminho para se tornar um gerente de projeto, Do certificado ao sucesso na carreira, Como encontrar o papel perfeito, Gilbert: habilidades de gerenciamento de projetos em minha função, Finalização
Introdução: como ser um gerente de projeto eficaz, O valor de um gerente de projeto, JuAnne: o caminho para se tornar um gerente de projeto, Principais funções e responsabilidades do gerente de projeto, A função de um gerente de projeto dentro de uma equipe, Elita: um dia na vida de um gerente de projeto, As principais habilidades de um gerente de projeto, Rachel: minha jornada para me tornar uma gerente de projeto, Liderança e dinâmica de equipe, Ellen: traços de um gerente de projeto bem-sucedido, Finalização
Introdução: o ciclo de vida e as metodologias de gerenciamento de projetos, Explorar as fases do ciclo de vida do projeto, Fases em ação: iniciar e planejar, Fases em ação: executar e encerrar, Introdução às metodologias de gerenciamento de projetos, Visão geral da Cascata e do Agile, Introdução a Lean e Six Sigma, Finalização
Introdução: Estrutura organizacional e cultura, Visão geral das estruturas Clássica e de Matriz, Como a estrutura organizacional impacta o gerenciamento de projetos, Lan: trabalhando em um Escritório de Gerenciamento de Projetos, Introdução à cultura organizacional, Amar: gerenciamento de projetos na vida e na organização, Introdução à gestão de mudanças, Participando da gestão de mudanças, Preparando-se para sua busca de emprego, Parabéns! O que está por vir no Curso 2
Course: Esports: Leveling Up Teach-Out
Modules:
What is a Teach-Out?, Esports as a sport - Cybbi Barton, Creation of the U-M esports rec team - Cybbi Barton, Explaining collegiate esports -  Cybbi Barton, Creating a new esports org/team/clan - Mitch Allan, Creating content and competing in the esports space - Mitch Allan, Academic journalism of esports research - Aaron Koshy, Video game culture - Rae Moors, The community's influence on esports - Rae Moors, Inclusivity in esports - Sylvia Gathoni, Legal perspectives and regulation of esports - Sylvia Gathoni
Course: Content Creation With Generative AI
Modules:
Welcome to the Course
Generative AI for Content Marketing, Exploring Your Best-Fit GenAI Tools for Impactful Content Marketing, GenAI Prompting: The Key Essentials for High-Quality Content (Part 1), GenAI Prompting: The Key Essentials for High-Quality Content (Part 2)
GenAI Applications for Compelling Marketing Content: Part 1, GenAI Applications for Compelling Marketing Content: Part 2, Considering Best Practices for AI-Generated Content, Hands-On Activity: Create Compelling Content for a Marketing Campaign
Course: Fundamentos para entrevistar con confianza
Modules:
Fundamentos para entrevistar con confianza, Introducción al curso: Fundamentos para entrevistar con confianza, Introducción del instructor: Jarek Coles, El futuro del trabajo, Tendencias actuales en ventas y desarrollo de ventas, Exploración de las ventas de tecnología como una disciplina centrada en las personas, La importancia de la empatía en la función de SDR, Orientarte hacia el trabajo remoto, Introducción a la construcción de tu red, Nutrir tu red, Introducción a las herramientas de plantilla para realizar un seguimiento de tu red, Revisión de la semana 1: Desbloquea una carrera gratificante
Empatizar con tus entrevistadores, Entrevistas con confianza: el arte de narrar historias, Destacarte entre la multitud, Hablar de tu experiencia, Cómo evitar que parezca que sigues un guion, Consejos para crear rituales personales para las entrevistas, Revisión de la semana 2: Construye tu marca personal, Instrucciones y muestra de la revisión de pares (semana 2)
Introducción a la marca personal a la manera de SV Academy, Marca personal para SDR, Creación de currículum para SDR, Presentar tu historial: Resumen y foto de LinkedIn, Compartir tu historia a través de tu presencia en línea, Revisión: Crear una cartera profesional poderosa, Instrucciones y muestra de la revisión de pares (semana 3)
Etapas del proceso de entrevista técnica, Estrategias y formatos de entrevistas SaaS, Aperturas y cierres efectivos para una entrevista de ventas, Cómo investigar una empresa para conseguir el trabajo, Haz grandes preguntas, Entrevistas con confianza: Comenzar, Entrevistas con confianza: Un repaso sobre cómo prepararte, Las preguntas más comunes de la entrevista: Háblame sobre ti, Las preguntas más comunes de la entrevista: ¿Por qué elegiste las ventas?, Las preguntas más comunes de la entrevista: ¿Por qué elegiste esta empresa?, Uso de la terminología de la función para la que estás siendo entrevistado, Es más que agradecimiento: La importancia del correo electrónico de agradecimiento después de una entrevista, Correos electrónicos de agradecimiento en un contexto de SDR, Prepararse para ser ágil en una entrevista, Improvisación en simulacros de llamadas, Embajadores de SV Academy: Preparación para entrevistas, Embajadores de SV Academy: Sobresalir en tus entrevistas, Revisión de la semana 4: Conviértete en una superestrella de entrevistas, Revisión del curso: Fundamentos para entrevistar con confianza, Instrucciones y muestra de la revisión de pares (semana 4)
Course: Random Models, Nested and Split-plot Designs
Modules:
Instructor Welcome, Course Introduction, Estimating the Variance Components, Maximum Likelihood Approach, The Two-Factor Mixed Model, Measurement System Study Example
Two-Stage Nested Design, Variations of the Nested Design, The Split-Plot Design, Unreplicated Designs and Fractional Factorial Designs in a split-plot framework, Purity Example, Tensile Strength of Paper Example
The Generalized Linear Model, The Grill Defects Experiment, The Analysis of Covariance, Design of Experiments with Known Covariates, Motor Oil Additive Experiment, Consumer Product Coupons Example, Factorial with Covariate Example
Course: Preparar os Dados para Exploração
Modules:
Introdução à exploração de dados, Hallie: Ideias de dados fascinantes, Coleta de dados em nosso mundo, Determinar quais dados coletar, Descubra formatos de dados, Compreender dados estruturados, Conheça o tipo de dados com os quais você está trabalhando, Componentes da tabela de dados, Conheça dados amplos e longos
Garantindo a integridade dos dados, Viés: Das perguntas às conclusões, Dados enviesados e imparciais, Compreender o viés nos dados, Identificar boas fontes de dados, O que são dados "ruins"?, Introdução à ética de dados, Renovação Opcional: Alex: A importância da ética de dados, Introdução à privacidade de dados, Andrew: O uso ético de dados, Características de dados abertos, Andrew: Etapas para o uso ético de dados
Tudo sobre bancos de dados, Recursos de banco de dados, Explorando metadados, Usando metadados como analista, Gerenciamento de metadados, Megan: Diversão com metadados, Trabalhar com mais fontes de dados, Importação de dados de planilhas e bancos de dados, Classificar e filtrar, Configuração do BigQuery, incluindo sandbox e opções de faturamento, Como usar o BigQuery, BigQuery em ação
Tenha confiança em seus dados, A organização é tudo, Tudo o que precisa saber sobre nomenclatura de arquivos, Recursos de segurança em planilhas
Gestão de sua presença como analista de dados, Por que uma presença online é importante, Dicas para melhorar sua presença online, Know-how do networking, Benefícios da mentoria, Rachel: Os mentores são fundamentais
Parabéns! Conclusão do curso