dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Multimodal Literacies: Communication and Learning in the Era of Digital Media
Modules:
8.1 Introduction - Representation, Communication and Design, 8.2 Design and Multimodality, 8.3 A Grammar of Multimodal Meaning, 8.4 Synesthesia or Mode Switching
9.1 Learning to Read: Phonics, 9.2 Learning to Read: Reading for Meaning, 10.1 The Nature of Writing, 10.2 Traditional Grammar and Its Impossibilities, 10.3 Chomsky’s Grammar, 10.4 Halliday’s Grammar, 10.5 A Grammar of Multiliteracies, 10.6 The Writing Process, 11.1 The Contemporary Significance of Visual Meanings, 11.2 Designs of Visual Meanings, 11.3 Perceptual Images and Mental Images, 11.4 A Grammar of the Visual, 11.5 Deconstructing Images, 11.6 Image Making as Design, 11.7 Parsing Images, 11.8 Multimodal Pedagogy in Practice
12.1 Spatial, Tactile, and Gestural Meanings, 12.2 A Grammar of Spatial Meaning, 12.3 Tactile Meanings, 12.4 A Grammar of Tactile Meaning, 12.5 Gestural Meanings, 12.6 A Grammar of Gestural Meanings, 13.1 Making Audio Meanings, 13.2 Making Meanings Using Oral Language, 13.3 Synesthesia and Mode Shifting Between Oral and Written Meanings, 13.4 Classroom Discussion in Speech and Writing, 14.1 Literacies to Think and to Learn, 14.2 On Human Meaning Systems, 14.3 Academic Literacies as Ways of Thinking
15.1 Literacies and Learner Differences, 15.2 The Effects of Learner Differences, 15.3 Literacies Learning and Development, 15.4 Recognizing Learner Differences in Literacies Pedagogy, 15.5 Complexities of Learner Differences, 15.6 Differentiated Literacies Instruction, 16.1 Approaches to Literacy Standards and Assessment, 16.2 Standardized and Norm-referenced Assessment, 16.3 Criterion Referenced Assessment, 16.4 Progress Assessment, 16.5 Select and Supply Response Assessments, 16.6 Rubric-Based Peer and Formative Assessment, 16.7 Big Data and the Future of Assessment
Course: Getting Started with Amazon Keyspaces (for Apache Cassandra)
Modules:
Getting Started with Amazon Keyspaces
Course: Initiation à la programmation (en C++)
Modules:
Bienvenue, Installation sous Linux (Ubuntu), Installation sous MacOS 10.9 et supérieurs, Installation sous Windows, Introduction, Variables, Variables : lecture/écriture, Expressions
Branchements conditionnels, Conditions, Erreurs de débutant le type bool
Itérations : introduction, Itérations : approfondissement et exemples, Itérations : quiz, Boucles conditionnelles, Blocs d'instructions
Fonctions : introduction, Fonctions : appels, Fonctions : passage des arguments, Fonctions : prototypes, Fonctions : définitions, Fonctions : méthodologie, Fonctions : arguments par défaut et surcharge
Tableaux : introduction, Tableaux : déclaration et initialisation des vector, Tableaux : utilisation des vector, Tableaux : exemples simples (vector), Tableaux : fonctions spécifiques vector, Tableaux : tableaux dynamiques multidimensionnels, Tableaux : array
string : introduction, string : traitements, Typedef : alias de types, Structures
Pointeurs et références : introduction, Références, Pointeurs : concept et analogie, Pointeurs : déclaration et opérateurs de base, Pointeurs : allocation dynamique, Pointeurs « intelligents »
Puissance 4 : introduction, Puissance 4 : premières fonctions, Puissance 4 : fonction joue 1ère version, Puissance 4 : fonction joue variantes et révision, Puissance 4 : moteur de jeu, Puissance 4 : fonctions est_ce_gagne et compte, Puissance 4 : finalisation
Course: Datos para Avanzar en la Salud Poblacional
Modules:
Bienvenido al curso, Introducción: Datos para el avance de la salud, Cómo comprender el ciclo de generación y uso de datos, Contexto de uso de datos, Estudio de caso del ciclo de generación y uso de datos, Consideraciones del género para el ciclo de generación y uso de datos, Monitoreo de la desigualdad en salud, Resumen módulo: Generación y uso de datos
Introducción al módulo 2, Fortalecimiento de una cultura organizacional de uso de datos, Promoción de una sólida cultura del dato, Roles y responsabilidades esenciales, Participación de los usuarios y productores de datos, Calidad de los datos, Resumen módulo: Generación de capacidad para el uso de datos
Introducción al módulo 3, Tipos de historias de datos, Historias de datos y visualizaciones, Principios de diseño para visualizaciones efectivas, Historia de ejemplo, Cómo comunicar datos de manera efectiva, Herramientas para comunicar datos, El papel de los informes de salud pública, Difusión de informes de datos, Herramientas para la comunicación de datos: La experiencia del Proyecto de Boletín de Salud Pública, Ejemplos de boletines nacionales de salud pública, Cómo proporcionar el plan para construir una base sólida, Cómo desarrollar una definición compartida de calidad, Cómo ampliary mejorar la asistencia técnica proporcionada a los editores de boletines de salud pública, Consideraciones de género para la acción política, Kit de herramientas para la evaluación de la equidad en salud (HEAT), Descripción de la desigualdad utilizando el kit de herramientas de evalución de la equidad en salud (HEAT), Uso de sus propios datos de desigualdad en el kit de herramientas para la evalución de la equidad en salud (HEAT Plus), Desarrollo de capacidades para evaluar la desigualdad, Resumen módulo: Cómo lograr un impacto con los datos
Introducción al módulo 4, De los datos a la acción: transformación de datos en políticas y prácticas, Transformación de datos en políticas y prácticas: reducción del consumo de sal en Sri Lanka, De los datos a la acción: el caso de la base de datos de mortalidad de la OMS, Transformación de datos en políticas de salud pública, Vinculación de las políticas con el costo, Resumen módulo: Uso de datos para políticas y acciones
Course: The Mathematics of Democracy, Politics and Manipulation
Modules:
1.1 Introduction to Elections, 1.2: First Criterion and May's Theorem
1.3: Ballots, Majority, and Plurality Method, 1.4: Borda Count Method, 1.5: Plurality with Elimination, 1.6 Method of Pairwise Comparisons
1.7 - Independence of Irrelevant Alternatives Criterion, 1.8  - Arrow's Impossibility Theorem
Introduction to Weighted Voting Systems, Banzhaf Power
Shapley-Shubik Power Index
Introduction to the US Electoral College, Analysis of the US Electoral College
Introduction to Apportionment, Hamilton's Method and its Paradoxes, Divisor Methods: Jefferson, Adams, and Webster, The Huntington-Hill Method, Criteria, Paradoxes, and Impossibility
Districting and Gerrymandering, Guidelines for Districting, Compactness and Geometry, Partisan Symmetry and the Efficiency Gap, Summary and Final Remarks
Course: Medindo o Marketing Digital
Modules:
Técnicas de Campanhas Digitais, Testando Campanhas - Parte 1, Testando Campanhas -  Parte 2, Plano de Teste A/B, Experimentos e Mensuração de Resultados, Interpretando os Resultados
Automação de Campanhas Digitais, Utilizando a Automação no Atendimento a Clientes -  Parte 1, Utilizando a Automação no Atendimento a Clientes -  Parte 2, Alguns Sistemas que Utilizam IA, Combinando Automação e IA, Automação e IA: Tendências de Mercado
Revendo a Segmentação de Público, Hábitos de Consumo de Informações: Rompendo a Barreira da Atenção, A Dinâmica dos Canais, Mídia Paga e Mídia Orgânica, Alcance e Interação
KPIs Digitais: Alcance, KPIs Digitais: Interação, KPIs Digitais: Conversão - Parte 1, KPIs Digitais: Conversão - Parte 2, KPIs Digitais: Resultados, KPIs X OKRs
Course: Системное администрирование и службы IT-инфраструктуры
Modules:
Представление курса, Что такое системное администрирование?, Ещё раз о серверах, Облако, Политики организаций, Компоненты IT-инфраструктуры, Подготовка аппаратного обеспечения и аккаунтов пользователей, Текущее техническое обслуживание, Поставщики, Устранение неполадок, Аварии, Встреча Диона с Мишель Обамой, Чем больше полномочий, тем выше ответственность, Важность тестовой среды, Оценка рисков, Как правильно устранять проблемы
Компоненты IT-инфраструктуры, Администрирование IT-инфраструктуры, Внешние решения для IT-инфраструктуры, Как работает Qwiklabs?, Хезер о своей первой работе в IT, Серверные операционные системы, Виртуализация, Ещё раз об удаленном доступе, FTP, SFTP и TFTP, NTP, Вспомогательные сетевые службы, DNS, DNS для веб-серверов, DNS для внутренних сетей, DHCP, Проблемы с разрешением имени хоста или доменного имени, Как работают программы и службы, Управление службами в Linux, Управление службами в Windows, Настройка служб в Linux, Настройка служб в Windows, Настройка DNS с помощью Dnsmasq, Настройка DHCP с помощью Dnsmasq
Представление модуля, Настройка сервисов для коммуникации, Настройка электронной почты, Настройка бизнес-сервисов, Настройка защиты, Хезер Эдкинс о синдроме самозванца, Что такое сервисы для хранения файлов?, Сетевое хранение файлов, Синхронизация мобильных устройств, Настройка сервисов печати, Ещё раз о веб-серверах, Введение в базы данных, Основы диагностики сайтов, Виды облачных сервисов, Как работает облачная инфраструктура, Когда и как использовать облако
Представление модуля, Сервер каталогов, Реализация служб каталогов, Что такое централизованное управление?, Протокол LDAP, Аутентификация LDAP, Хезер Эдкинс о стремлении к цели, Active Directory, Управление Active Directory, Управление пользователями и группами в Active Directory, Управление паролями пользователей в Active Directory, Присоединение к домену Active Directory, Групповая политика, Создание и изменение групповой политики, Особенности настройки групповой политики, Устранение неполадок, связанных с групповыми политиками, Управление мобильными устройствами (MDM), Что такое OpenLDAP?, Управление OpenLDAP
Представление модуля, Что такое восстановление данных?, Резервное копирование данных, Решения для резервного копирования, Тестирование резервных копий, Виды резервного копирования, Резервное копирование пользовательских данных, План аварийного восстановления, Разработка плана аварийного восстановления, Ретроспективный отчет, Создание ретроспективного отчета, Пример собеседования: системный администратор
Описание итогового проекта, История успеха Алекса, Поздравляем!
Course: Digital Systems: From Logic Gates to Processors
Modules:
Course presentation
L0.1. Binary numeration system, L0.2. Algorithm representation in pseudocode
L1.1. Digital systems, L1.2 Digital system description, L1.3 Digital electronic systems, P1.1. Processor: Specification, P1.2. Examples of Programs
L2.1. Combinational circuits, L2.2. Boolean Algebra, L2.3. NAND, NOR, XOR, NXOR, TRI-STATE, P2.1. Functional specification, P2.2. Structural specification
Introduction to VerilUOC_Desktop (I). Logisim and VerilCirc, Introduction to VerilUOC_Desktop (II). BoolMin and VerilChart
L3.1. Combinational circuit synthesis tools, L3.2. Propagation time, L3.3. Other logic blocks, L3.4. Programming language structures, P3.1. Structural specification (continuation)
L4.1 Arithmetic blocks, Lecture 4.2 (1outof2): Introduction to VHDL - Lexicon, syntax and structure, Lecture 4.2 (2outof2): Introduction to VHDL - Lexicon, syntax and structure, Lecture 4.3 (1outof2): Introduction to VHDL - Sequential sentences, Lecture 4.3 (2outof2): Introduction to VHDL - Sequential sentences, Lecture 4.4 (1outof2): Introduction to VHDL - Concurrent sentences, Lecture 4.4 (2outof2): Introduction to VHDL - Concurrent sentences, L4.2 Short introduction to VHDL I (OLD VERSION), L4.3 Short introduction to VHDL II (OLD VERSION), L4.4 Short introduction  VHDL III (OLD VERSION)
L5.1 Sequential circuits, L5.2 Explicit functional description, L5.3 Latches and flip-flops, L5.4 Synthesis from tables, L5.5 An example of synthesis, P5.1 Combinational blocks, P5.2 Sequential blocks
L6.1. Registers, L6.2. Counters, L6.3. Memories, P6.1. Sequential blocks (continuation)
L7.1. Sequential implementation of algorithms, L7.2. Finite state machines, L7.3. Examples of finite state machines, P7.1. Sequential blocks (continuation), P7.2. Instructions, control, complete circuit
L8.1. Physical implementation, L8.2. Implementation strategies and synthesis tools, P8.1. Test, P8.2. Design methods
Farewell, What have we learned?, How can I go deeper into the topic?
Course: The Piano Sonata: Russian and 20th-21st Century Composers
Modules:
Course Introduction: Setting the Stage, Sonata Characteristics & Composers, Sonata Form: Principles, Origins, Processes, & Theorists, Sonata Form Overview, Movement Architecture
The Russian Piano Sonata, Scriabin's Early Sonatas, Scriabin's Piano Sonata no. 5, op. 53, Scriabin's Late Sonatas, Scriabin's Piano Sonata No. 10, Op. 70, Sergei Rachmaninov (1873-1943), Medtner's Piano Sonatas, Medtner's G Minor Sonata, Sergei Prokofiev Sonatas, Prokofiev's Second Sonata, Prokofiev's War Sonatas, Prokofiev's Sixth Sonata, More Russian Sonata Composers
20th and 21st Century Composers, Ravel's Sonatine, Dutilleux's Sonata, Berg's Piano Sonata op. 1, Hindemith's Third Sonata, Ives's Piano Sonata no. 2 "Concord, Mass., 1840-1860", Barber's Sonata in E-Flat minor, op. 26, Boulez's Sonata no. 2
Post-Course Survey, Honors Lesson: Score Analysis, Formal Analysis: Scriabin's Sonata No. 3 in F# minor, op. 23, Answer Key: Scriabin's Sonata No. 3 in F# minor, p. 23
Course: Foundations of Swift and SwiftUI
Modules:
Welcome - How to use this iOS 17 course, App Development Overview, Xcode 15, Development - Languages - Frameworks - APIs – Compilers
Computer Programming – Playground, Variables, Data Types, Part 1 - Conditionals and Loops - If else, Part 2 - Conditionals and Loops - switch, Part 3 - Conditionals and Loops - while - repeat while - for in, Part 4 - Conditionals and Loops - Control transfer statements
Part 1 - Programming Paradigms – Functions, Part 2 - Generic Functions, Part 3 - Standard Functions, Part 4 – Scopes, Part 5 – Closures, Part 1 – Structures, Part 2 - Key Paths, Part 3 – Methods, Part 4 - Initialization, Part 5 - Computed Properties, Part 6 - Property Observers, Part 7 - Type Properties and Methods, Part 8 - Generic Structures, Part 9 - Primitive Type Structures, Part 10 - Range Structures, Part 11 - String Structures, Part 12 - Array Structures, Part 13 - Set Structures, Part 14 - Dictionary Structures, Part 1 - Enumerations, Part 2 - Raw Values, Part 3 - Associated Values, Part 1 - Objects - Definition of Objects, Part 2 - Type Properties and Methods, Part 3 - Reference Types, Part 4 - Self, Part 5 - Memory Management, Part 6 - Inheritance, Part 7 - Type Casting, Part 8 - Initialization, Part 9 - Deinitialization, Part 10 - Access Control and Modifiers - Singletons, Part 1 - Protocols, Part 2 - Definition of Protocols, Part 3 - Generic Protocols, Part 4 - Swift Protocols, Part 5 - Extensions, Part 6 - Delegates, Part 1 - Errors - Throwing Errors, Part 2 - Handling Errors, Part 3 - Results, Part 1 - Property Wrappers, Part 2 - Macros
Course: Machine Learning Operations (MLOps): Getting Started - Français
Modules:
Présentation du cours
Présentation du MLOps – Quand et pourquoi utiliser le MLOps ?, Les difficultés des professionnels du machine learning (ML), Le concept du DevOps en ML, Le cycle de vie du ML, Automatiser le processus de ML
Qu'est-ce que Vertex AI et pourquoi une plate-forme unifiée est-elle importante ?, Présentation du MLOps sur Vertex AI, En quoi Vertex AI est-il utile dans le workflow de ML ? (partie 1), En quoi Vertex AI est-il utile dans le workflow de ML ? (partie 2), Coursera : Premiers pas avec Google Cloud Platform et Qwiklabs, Atelier de présentation de Vertex AI : Qwik Start
Résumé
Course: Basics of Extracellular Vesicles
Modules:
Introduction to the Field of Extracellular Vesicles, Introduction to the Course, The Origin of EVs throughout the Phylogenetic Tree, History of Exosomes and Extracellular Vesicles
Biogenesis and Release of Extracellular Vesicles, Mechanisms of Extracellular Vesicle Uptake - Part 1, Mechanisms of Extracellular Vesicle Uptake - Part 2, The Protein Content of Extracellular Vesicles, The RNA Content of Extracellular Vesicles, The Lipid Content of Extracellular Vesicles
Cell Culture Media, Blood Plasma and Serum, Breast Milk, Urine, Cerebrospinal Fluid
Differential Ultracentrifugation - Part 1, Differential Ultracentrifugation - Part 2, Density Gradient, Size Exclusion Chromatography, Kit-based Precipitation, Summary of Isolation Methods for Extracellular Vesicles
Electron Microscopy - Part 1, Electron Microscopy - Part 2, Electron Microscopy - Part 3, Cryo-TEM, AFM, Flow Cytometry, Nanoparticle Tracking Analysis
Course: Advanced Git and GitHub Practices
Modules:
Why Do We Need Branches on Git, Branches in DevOps Workflow, Working with Branches on GitHub, Working with Branches on Git, Committing Changes on Branches, Merge Changes onto Master Branch, Resolving Merge Conflicts
Forking a Repository, Creating Pull Request (PR), Working with Private Repositories, Adding Collaborator to a Repository, Creating Protected Branches, Tagging a Commit, Revert Changes from Working Directory, Reverting Changes from Staging Area and Local Repo
Using .Gitignore File, Git Rebase Command, Git Fetch Versus Git Pull, Introduction to Git Project, Set Up Git Repository and Branches for New Project, Allowing Developers to Check-In Code, Enabling DevOps Workflow on Dev Environment, Pull Request (PR) to Merge Code from Dev Branch to UAT Branch, Release Code onto Production
Course: Cloud FinOps
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, Understanding Cloud FinOps, Why FinOps, Introduction to FinOps Foundation, FinOps Domain, FinOps Capabilities, What you will learn in this lesson, Personas in FinOps, Key Principles of Cloud Financial Operations, FinOps Phase, FinOps Maturity cycle for an Enterprise, The Role of Cloud FinOps in Modern Businesses
What you will learn in this lesson, Understand Cloud Account hierarchy, Understand Cloud Billing structure, What you will learn in this lesson, Introduction to Cost management Cloud Native Tools, Introduction to Cost management Third Party Tools
Course: Agile with Atlassian Jira
Modules:
Agile Overview, Jira Overview, Visualizing Work: Boards, Kanban Overview I, Kanban Overview II
Scrum Overview I- Artifacts, Scrum Overview II- Roles and Events, Toyota Kanban, Lean Principles, Agile Principles
Quick Search and Basic Search, JQL, Filters, Issue Types, Configuring Issues
Epics, Versions, Users and Groups, (optional) Permissions
Course: Gen AI for Code Generation for Python
Modules:
Course Introduction, Overview of Generative AI, Understanding Generative AI Models, Generative AI for Code Generation, Popular Generative AI Tools for Code, Getting Started with ChatGPT, Exploring ChatGPT for Code Generation, Code Generation with ChatGPT, Demystifying Prompt Engineering (Part 1), Demystifying Prompt Engineering - Part 2, Effective Prompt Strategies for Optimizing Output, Prompt Engineering Techniques Explained (Part 1), Prompt Engineering Techniques Explained (Part 2), Leveraging Prompt Engineering with ChatGPT, Leveraging ChatGPT to Learn Data Science with Python, Visualization with Gen AI, Visualization with Gen AI - Demonstration, Demonstration – Exploratory Data Analysis (Part 1), Demonstration – Exploratory Data Analysis (Part 2), Hands-on Code Generation with ChatGPT (Part 1), Hands-on Code Generation with ChatGPT (Part 2), Software Testing Enriched by ChatGPT (Part 1), Software Testing Enriched by ChatGPT (Part 2), Code Optimization Insights with ChatGPT Assistance, Streamlining Documentation and Reporting Processes with AI
Course: Preparing for Your Professional Cloud Network Engineer Journey
Modules:
Module Overview, Introduction to the Professional Cloud Network Engineer role, Certification value and benefits, Certification process, Creating your study plan
Module Overview, Designing Cymbal Bank's cloud network, Introduction: Diagnostic questions, Your study plan
Module Overview, Considerations for Cymbal Bank’s VPC, Introduction: Diagnostic questions, Your study plan
Module Overview, Considerations for Cymbal Bank’s VPC, Introduction: Diagnostic questions, Your study plan
Module Overview, Configuring network services for Cymbal Bank, Introduction: Diagnostic questions, Your study plan
Module Overview, Cymbal Bank's network operations, Introduction: Diagnostic questions, Your study plan
Your next steps
Course: Miracles of Human Language: An Introduction to Linguistics
Modules:
Welcome to the Miracles of Human Language!, How to succeed in your online class?, Human Language and Animal Communication Systems, Human Language Versus Other 'Languages', Discussion with Marten and Inge: Language Diversity, Language Diversity and Ethnologue, Discussion with Marten and Inge: What do Linguists do?, Interview with Dr. Victoria Nyst, Introduction language informants + introducing Han Hu, Speaker of Mandarin Chinese, Introducing Roberta D'Alessandro, speaker of Abruzzese, Introducing Khalid Mourigh, speaker of Tarifit Berber, Introducing Varun DeCastro-Arrazola, speaker of Basque, Introducing Beste Sevindik, speaker of Turkish, Introducing Enoch Aboh, speaker of Gungbe, Conclusion; language and dialect
Distinguishing consonants, Production of speech sounds, Discussion with Marten and Inge: consonants of world languages, Sounds in systems, Discussion with Marten and Inge: sounds and language change, Interview with Prof. dr. Claartje Levelt, Introduction + Tarifit Berber, Gungbe, Turkish, Abruzzese, Mandarin Chinese, Basque, Conclusion; sounds and gestures
Words and sentences, Morphology, Discussion with Marten and Inge: world of words, Syntax and word order (a), Syntax and word order (b), Discussion with Marten and Inge: world of word order, Interview with Prof. Noam Chomsky, Introduction + Basque, Tarifit Berber, Gungbe, Turkish, Abruzzese, Mandarin Chinese, Conclusion; structure beyond sentences
Layers of meaning, Semantics, Discussion with Marten and Inge: color and snow, Pragmatics, Discussion with Marten and Inge: changing the world with sentences, Interview with Barend Beekhuizen MA, Introduction + Abruzzese, Tarifit Berber, Turkish, Basque, Mandarin Chinese, Gungbe, Conclusion; untranslatable words?
Introduction, Aphasia, Discussion with Marten and Inge: everyday mistakes and the Foreign Accent Syndrome, Reading in the brain, Visiting the lab, Interview with Prof. Dr. Niels Schiller, Introduction + Turkish, Tarifit Berber, Abruzzese, Basque, Conclusion; dyslexia
Language change and variation, Social stratification, Discussion with Marten and Inge: social variables, Politeness, Discussion with Marten and Inge: examples of Face, Interview with Prof. Adele Goldberg, Introduction + Gungbe, Tarifit Berber, Turkish, Abruzzese, Mandarin Chinese, Basque, Conclusion; how personal are politeness strategies?
Course: Responsible AI for Developers: Interpretability & Transparency - Italiano
Modules:
Introduzione al corso
Panoramica su interpretabilità e trasparenza, Panoramica delle tecniche di interpretabilità, Spiegazioni basate sulle caratteristiche: indipendenti dal modello, Spiegazioni basate sulle caratteristiche: specifiche del modello, Spiegazioni basate su concetti ed esempi, Strumenti per l'interpretabilità, Trasparenza dei dati e dei modelli, Lab: Vertex Explainable AI, Coursera: Introduzione a Google Cloud e Qwiklabs
Riepilogo del corso
Modulo 0: Introduzione al corso, Modulo 1: Interpretabilità e trasparenza dell'AI, Modulo 2: Riepilogo del corso
Course: Trading Algorithms
Modules:
Disclaimer, Introduction to Trading Strategies
How to read an academic paper - a, How to read an academic paper - b, How to read an academic paper - c, How to read an academic paper - Abstract
Piotroski F-Score : Strategy - a, Piotroski F-Score : Strategy - b, Piotroski F-Score : Strategy - c, Piotroski F-Score : Implementation - a, Piotroski F-Score : Implementation - b
Piotroski F-Score : Wrap up, Post Earnings Announcement Drift (PEAD) - a, Post Earnings Announcement Drift (PEAD) - b, Wrap up
Course: Getting Started with Google Kubernetes Engine
Modules:
Course introduction
Introduction, Cloud computing and Google Cloud, Google Cloud compute offerings, The Google network, Resource management, Billing, Interacting with Google Cloud, Lab Introduction: Accessing the Cloud console and Cloud Shell, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Introduction, Containers, Container images, Lab introduction: Working with Cloud Build, Kubernetes, Google Kubernetes Engine
Introduction, Kubernetes concepts, Kubernetes components, GKE Autopilot and GKE standard, Object management, Lab introduction: Deploying GKE Autopilot Clusters
Introduction, The kubectl command, Introspection, Lab introduction: Deploying GKE Autopilot Clusters from Cloud Shell
Course summary
Course: SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI
Modules:
SwiftUI for iOS 16: Build Adaptive Apps for iPhone and iPad, Installing Xcode 14, Warming Up with the Basics
Beyond the Basics - ForEach and ScrollView, Lists and Sheets, Forms, Buttons, Pickers, Sliders, Toggle, Images, Overlays - Structure, Forms, Buttons, Pickers, Sliders, Toggle, Images, Overlays - The Image Section, Forms, Buttons, Pickers, Sliders, Toggle, Images, Overlays - Edit Text Section, Forms, Buttons, Pickers, Sliders, Toggle, Images, Overlays - Edit Options, Forms, Buttons, Pickers, Sliders, Toggle, Images, Overlays - Final Touches, Customizing Buttons in SwiftUI: Styles, Gradients, and Effects, Steppers, Alert, Action Sheet, AsyncImage, Computed Properties, and Default Buttons
Useful Hotkeys
Getting Started and Creating the App Icon, Get the Emoji SVG, Separate Parts, and Import to Xcode, Blinking Ninja Emoji, Creating a Speech Bubble with Custom Shapes in SwiftUI, Creating Arcs and Curves to Complete a Speech Bubble in SwiftUI, Adding Text to the Speech Bubble View, Light and Dark Mode Color Palette, The Quote Model, The Quote View Model, The Emoji Ninja Can Quote, Create Context Menu to Copy to Clipboard, Import Images and GridImagesView, The Images View, Completing the GridImagesView, Updating the Image View, ShareImageView - Part 1, ShareImageView - Part 2 - Image and Color Picker section.screenflow, ShareImageView - Part 3 - Adding Sliders, ShareImageView - Part 4 - Store Image in Photo Album, ShareImageView - Part 5 - Share Image Using ShareLink, Updating MainEmojiQuoteView and GridImagesView, The Emoji Quote App in Action
Course: Splunk Search Expert 101
Modules:
Describe Machine data, Overview of Operational Intelligence, What does Splunk do?
How Splunk Works, Using Splunk Web, Perform a Basic Search, Using Events, The Search Processing Language, Using Commands, Knowledge Objects, Creating Reports & Dashboards
How Splunk Uses Fields, The Fields Sidebar, Using Fields in Search, Field Extractions, Calculated Fields
Create a Scheduled Report, Manage Scheduled Reports, Splunk Alerts, Creating Alerts, Alert Actions, Manage Alerts
Commands for Visualizations, Visualizing Data, Generating Maps, Single Value Visualizations, Visualization Formatting
Course: De la Idea al Éxito: Metodologías de Emprendimiento
Modules:
Bienvenido, Acerca del curso, Políticas de Coursera
Bienvenida, Características claves de un emprendedor, Megatendencias, Liderazgo y su aplicación en las empresas, Transformación digital en las empresas y proyectos de emprendimiento, Design thinking y lean startup, Lean Agile, Scrum, Waterfall, Kanban, Línea de tiempo de las metodologías de emprendimiento
Introducción a las metodologías, Concepto Design Thinking, Caso Design Thinking: Uber Eats, Concepto de la metodología Agile, Concepto Lean Startup, Caso Lean Startup: Zappos, Complemento entre las metodologías de la innovación
Importancia de las metodologías ágiles, Metodología Scrum, Metodología Waterfall, Metodología Agile Design Sprint, Metodología Kanban, Diferenciación entre metodologías, Casos por metodología
Design thinking: De idea a proyecto validado, Concepto de la Deseabilidad de mercado, Ejemplo aplicado de la Deseabilidad del mercado, Validación de Factibilidad, Validación de la Viabilidad del proyecto, Experimentos clave para la validación de hipótesis, Prototipado: distintos tipos y aplicaciones
Herramientas de la metodología Lean Startup, Value Proposition Canvas, Business Model Canvas, Hipótesis aplicadas en Lean Startup, Evidencias y aprendizajes en las hipótesis de la metodología Lean Startup, El mindset empresarial, Caso integral
Encuesta, Felicidades
Course: Linear Algebra Basics
Modules:
Course Overview
Binary Operations, Vector Space - I, Vector Space - II, Vector Subspace, Linearly Dependence and Independence of Vectors, Linear Combination and Linear Span of Vectors
Basis and Dimension of a Vector Space, Linear Transformations, Null Space of a Linear Transformation, Range Space of a Linear Transformation, Matrix Associated with a Linear Transformation, Eigenvalues of a Matrix
Eigenvector of a Matrix, Special Matrices and Their Properties, Similar Matrices, Diagonalizable Matrices - I, Diagonalizable Matrices - II, Applications of Diagonalization of a Matrix
Spectral Decomposition, Singular Value Decomposition - I, Singular Value Decomposition - II, Applications of Singular Value Decomposition, Inner Product Space, Vector and Matrix Norms
How to Attempt and Submit the Assignment, Introduction to Python for Linear Algebra, How to Use Coursera Jupyter Lab
Course: Data Visualization with Python
Modules:
Getting Started with Data Visualization, Introduction to Excel for Visualization, Creating a Line Plot in Excel, Creating a Histogram in Excel, Creating a Scatterplot in Excel, Creating a Bar Plot in Excel, Minimizing Clutter in Visualizations, Introduction to Sheets for Visualization, Creating a Line Graph in Sheets, Creating a Histogram in Sheets, Creating a Scatterplot in Sheets, Creating Bar Plot in Sheets, Optimizing Color for Visualizations
Exploring Basic Plots, Cleaning your Data, Creating a Line Plot with Pandas, Creating a Bar Plot with Pandas, Creating a Scatterplot with Pandas, Creating More Complicated Plots with Pandas, Creating a Heatmap with Pandas, Creating a Slope Graph with Pandas, Chaining Methods with Pandas, Introduction to the Seaborn Library, Creating a Line Plot with Seaborn, Creating a Bar Plot with Seaborn, Creating a Scatterplot with Seaborn, Creating a Heatmap with Seaborn, Creating a Slope Graph with Seaborn, Introduction to Matplotlib in Python, Customizing Text with Matplotlib, Customizing Color with Matplotlib, Customizing Axes with Matplotlib
Introduction to Plotly, Creating a Line Plot with Plotly, Creating a Bar Plot with Plotly, Creating a Scatterplot with Plotly, Creating a Heatmap with Plotly, Creating a Slope Graph with Plotly, Introduction to Dash, Creating a Line Plot with Dash, Creating a Bar Plot with Dash, Creating a Scatterplot with Dash, Introduction to Streamlit, Creating a Line Plot with Streamlit, Creating a Bar Plot with Streamlit, Connecting a Widget to a Plot in Streamlit, Creating a Scatterplot with Streamlit
Introduction to Tableau, Creating a Line Plot with Tableau, Creating a Histogram with Tableau, Creating a Scatterplot with Tableau, Creating a Bar Plot with Tableau, Creating a Plot Dashboard in Tableau, Tableau Summary, Introduction to QuickSight, Creating a New Dataset in QuickSight, Creating a Line Plot with QuickSight, Creating a Histogram with QuickSight, Creating a Scatterplot with QuickSight, Creating a Bar Plot with QuickSight, Sharing your Plots with QuickSight
Course: Oracle SQL Proficiency
Modules:
SQL Command Categories, Select Statement, Insert Command, Update Command, Delete Command, DDL Statements Demonstration
Create & Alter DDL Demo Part 1 of 2, Create & Alter DDL Demo Part 2 of 2, Alter DDL Command Explained Part 1 of 2, Alter DDL Command Explained Part 2 of 2, Alter DDL Command Demonstration, Update DML Command Demonstration
Database Relationships Defined, Table Relationships Demonstration Part 1 of 2, Table Relationships Demonstration Part 2 of 2
Views - Defined, Views - Demonstrated, Views - Benefits, Functions - Defined, Functions - Demonstration
Course: Build a Responsive Website with HTML and CSS
Modules:
Build a Responsive Website Quiz
Course: Agile Project Management
Modules:
Introduction to the Course, Agile Project Management Intro, What is Agile?, Agile Values, Agile Principles, Intro to Agile Frameworks, Agile Framework Venn
The Scrum Master, The Scrum Process Intro, Sprint Charter, Daily Standup, Simplicity Principle, User Story Points & Team Velocity, Setting Priorities
The Agile Organization, Agile Organizational Structure
Course: Der Werkzeugkasten des Data Scientist
Modules:
Warum automatisierte Videos?, Was ist Data Science?, Was sind Daten?, Hilfe bekommen, Der Data-Science-Prozess
Installation von R, Installation von RStudio, RStudio-Rundgang, R-Pakete, Projekte in R
Versionskontrolle, GitHub und Git, Verknüpfung von GitHub und RStudio, Projekte unter Versionskontrolle
R Markdown, Arten von datenwissenschaftlichen Fragen, Versuchsplanung, Big Data
Course: Managing Change when Moving to Google Cloud em Português
Modules:
Introdução ao curso, Por que as organizações migram para a nuvem?, Desafios da migração para a nuvem, Como gerenciar a mudança, A jornada de maturidade para a nuvem, A evolução dos épicos com foco em pessoas, Cinco caminhos comuns de mudança para a nuvem, A metodologia de gestão da mudança do Google Cloud
Course: Introducción al mantenimiento de activos físicos
Modules:
Introducción al curso, Mantenimiento: mitos y realidades, ¿Por qué hacemos mantenimiento?, Tipos de mantenimiento, Tareas de mantenimiento, Mantenimiento planificado vs no planificado
Hoja de vida de activos físicos, Indicadores RAM, Costo de indisponibilidad por fallo, Entrevista: Uso de indicadores en la práctica industrial
Viabilidad técnica y económica de tareas proactivas, Viabilidad técnica de tareas preventivas, Viabilidad técnica de tareas basadas en la condición, Viabilidad técnica y económica de tareas de búsqueda de fallas ocultas
Gestión de trabajos de mantenimiento, ¿Qué es la gestión de activos?, Entrevista: Mantenimiento en el marco de la gestión de activos, Análisis de costo del ciclo de vida, Cierre del curso
Course: Reports and Dashboards
Modules:
Reports, Types of Reports, Creating a Leads Report, DEMO: A Lead Source Report, Creating Contacts and Account Reports, Adding Leads to Campaign from a Report, Creating Charts, Summarizing Report Data, Create Report Formula, Exporting Reports, DEMO: Creating New Account Report, Dashboards, Create Dashboards, Modifying Columns on Dashboards, Adding a Report as a Dashboard Component, Report Types, Create Custom Report Types, Lightning Report Builder, DEMO: Creating Dashboards
Course: Accounting Analytics
Modules:
Module 1 Overview 1.0, Review of Financial Statements (Optional) 1.1, Sources for Financial Statement Information (Optional) 1.2, Ratio Analysis: Case Overview 1.3, Ratio Analysis: Dupont Analysis 1.4, Ratio Analysis: Profitability and Turnover Ratios 1.5, Ratio Analysis: Liquidity Ratios 1.6, Forecasting 1.7, Accounting-based Valuation (Optional) 1.8
Module Overview: Earnings Management 2.0, Overview of Earnings Management 2.1, Revenue Recognition Red Flags: Revenue Before Cash Collection 2.2, Revenue Recognition Red Flags: Revenue After Cash Collection 2.3, Expense Recognition Red Flags: Capitalizing vs. Expensing 2.4, Expense Recognition Red Flags: Reserve Accounts and Write-Offs 2.5
Module 3 Overview 3.0, Discretionary Accruals: Model 3.1, Discretionary Accruals: Cases 3.2, Discretionary Expenditures: Models 3.3, Discretionary Expenditures: Refinements and Cases 3.4, Fraud Prediction Models 3.5, Benford's Law 3.6
Introduction: Connecting Numbers to Non-financial Performance Measures 4.0, Linking Non-financial Metrics to Financial Performance: Overview 4.1, Steps to Linking Non-financial Metrics to Financial Performance 4.2, Setting Targets 4.3, Comprehensive Examples 4.4, Incorporating Analysis Results in Financial Models 4.5, Using Analytics to Choose Action Plans 4.6, Organizational Issues 4.7
Course: Compensation: Job Evaluations & Pay Structures
Modules:
Introduction to Job and Pay Structures, Importance of Solid Architecture, Considerations for Job Architecture Review, Job Analysis Process, Job Analysis Methods, Job Evaluation Process, Job Evaluation Methods, Job Grades, After the Evaluation, Documenting Job Evaluation Results
Introduction to Pay Ranges, Defining Ranges, Calculating Pay Ranges, Identifying the Target Percentile, Calculating Salary Differentials, Creating Pay Range Policies, Using Ranges for Compensation Planning, Job Architecture & Pay Ranges: Performance Management
Introduction to Pay Structures, Defining the Pay Structure, Compensation Ratio, Salary Range Penetration, Market Ratio, Pay Range and Structure Visuals
Analyzing Employee Pay, Pay Structure Outliers, Addressing Pay Structure Outliers, Pay Compression, Addressing Pay Compression, Pay Equity Issues, Addressing Pay Equity Issues, Course Completion
Course: Central Banks and Monetary Policy
Modules:
Learn About the Course and Your Instructor
Module 1 Overview, The Market for Federal Funds, The Repo Market, Short-Term Interest Rates, Nominal and Real Interest Rates, Treasury Securities and The Risk-Free Rate, Term Structure of Interest Rates, Money Market Mutual Funds, Securitization
Module 2 Overview, History and Structure of the Federal Reserve, Purpose and Functions of the Federal Reserve, Money Supply and Monetary Policy, The Federal Reserve's Balance Sheet, Open Market Operations, The Discount Window, Forward Guidance, Large-Scale Asset Purchases, Monetary Policy With Abundant Bank Reserves
Module 3 Overview, Understanding Economic Growth and Unemployment, Connecting Unemployment and Inflation, Monetary Policy Rules, How Do Changes in Monetary Policy Affect the Economy?, Monetary Policy Transmission Through Banks, Monetary Policy Transmission Through Businesses and Households, Limits of Monetary Policy: Supply Shocks, Limits of Monetary Policy: Jobless Recoveries and Risk-
Taking Incentives
Module 4 Overview, Bank Runs and the Panic of 1907, The Great Depression, Common Features of Financial Crises, Auto Loans During the 2008 Financial Crisis, The Fed as Lender of Last Resort, Fiscal Responses to Financial Crises, Learn on Your Terms
Course: مهارات Excel للأعمال: المستوى "المتوسط I"
Modules:
الأسبوع الأول مقدمة, الأسبوع الأول مناقشة, فيديو تدريبي: أوراق عمل متعددة, فيديو تدريبي: صيغ ثلاثية الأبعاد, فيديو تدريبي: ربط أوراق العمل, فيديو تدريبي: الدمج حسب الموضع, فيديو تدريبي: الدمج حسب الفئة (المرجع), خلاصة الأسبوع الأول
الأسبوع الثاني مقدمة, الأسبوع الثاني مناقشة, فيديو تدريبي: دمج النص (CONCAT و &), فيديو تدريبي: تغيير حالة النص (UPPER, LOWER, PROPER) "(علوية، سفلية، مناسبة)", فيديو تدريبي: استخراج نص (LEFT, MID, RIGHT) "(يسار، وسط، يمين)", فيديو تدريبي: البحث عن نص (Find), فيديو تدريبي: حسابات التاريخ (NOW, TODAY, YEARFRAC), خلاصة الأسبوع الثاني
مقدمة الأسبوع الثالث, مناقشة الأسبوع الثالث, فيديو تدريبي: إدخال النطاقات المسماة, فيديو تدريبي: إنشاء النطاقات المسماة, فيديو تدريبي: إدارة النطاقات المسماة, فيديو تدريبي: النطاقات المسماة في المعادلات, فيديو تدريبي: تطبيق الأسماء, خلاصة الأسبوع الثالث
مقدمة الأسبوع الرابع, مناقشة الأسبوع الرابع, فيديو تدريبي: دوال COUNT, فيديو تدريبي: العد باستخدام المعايير (COUNTIFS), فيديو تدريبي: الإضافة باستخدام المعايير (SUMIFS), فيديو تدريبي: خطوط المؤشرات "Sparklines", فيديو تدريبي: مخططات متقدمة, فيديو تدريبي: خطوط التوجهات, خلاصة الأسبوع الرابع
الأسبوع الخامس مقدمة, الأسبوع الخامس مناقشة, فيديو تدريبي: إنشاء وتنسيق الجداول, فيديو تدريبي: العمل مع الجداول, فيديو تدريبي: الفرز والتصفية في الجداول, فيديو تدريبي: الأتمتة مع الجداول, فيديو تدريبي: التحويل إلى النطاق والإجمالي الفرعي, خلاصة الأسبوع الخامس
الأسبوع السادس مقدمة, الأسبوع السادس مناقشة, فيديو تدريبي: إنشاء وتعديل جدول محوري, فيديو تدريبي: إعدادات حقل القيمة, فيديو تدريبي: الفرز والتصفية في جدول محوري, فيديو تدريبي: الإبلاغ عن صفحات التصفية, فيديو تدريبي: المخططات المحورية, فيديو تدريبي: أدوات التقسيم المحورية, خلاصة الأسبوع السادس
التقييم النهائي
Course: Google Cloud Fundamentals: Core Infrastructure 한국어
Modules:
과정 소개
클라우드 컴퓨팅 개요, IaaS 및 PaaS, Google Cloud 네트워크, 친환경적, 보안, 오픈소스 생태계, 가격 책정 및 결제
Google Cloud 리소스 계층 구조, Identity and Access Management(IAM), 서비스 계정, Cloud ID, Google Cloud와 상호작용, Google Cloud 및 Qwiklabs 시작하기
가상 프라이빗 클라우드(VPC) 네트워킹, Compute Engine, 가상 머신 확장, 중요한 VPC 호환성, Cloud Load Balancing, Cloud DNS 및 Cloud CDN, Google VPC로 네트워크 연결
Google Cloud 스토리지 옵션, Cloud Storage, Cloud Storage: 스토리지 클래스 및 데이터 전송, Cloud SQL, Cloud Spanner, Firestore, Bigtable, 스토리지 옵션 비교
컨테이너 소개, Kubernetes, Google Kubernetes Engine
Cloud Run, 클라우드에서의 개발
과정 요약
Course: Capacitación sobre COVID-19 para trabajadores de salud
Modules:
Principales características de la enfermedad COVID-19, EPP y seguridad de la escena
Abordaje del paciente enfermo, Evaluación del shock al pie de cama, Evaluación clínica del paciente con disnea, Realización de una visita virtual
Ultrasonido en COVID-19, Diagnóstico del paciente con disnea
Tratamiento del paciente con disnea leve, Tratamiento del paciente con disnea moderada - parte 1, Tratamiento del paciente con disnea moderada - parte 2
Tratamiento del paciente con disnea grave - parte 1, Tratamiento del paciente con disnea grave - procedimientos, Tratamiento del paciente con disnea grave - parte 2, Tratamiento del paciente con disnea grave - parte 3
Manejo del respirador - parte 1, Manejo del respirador - parte 2
Course: Feature Engineering - Italiano
Modules:
Introduzione al corso
Introduzione, Vantaggi di Feature Store, Terminologia e concetti di Feature Store, Modello di dati di Feature Store, Creazione di un Feature Store, Esportazione delle caratteristiche - Batch e online
Introduzione, Panoramica del feature engineering, Dai dati non elaborati alle caratteristiche, Caratteristiche valide e caratteristiche non valide, Le caratteristiche devono essere note al momento della previsione, Le caratteristiche devono essere numeriche, Le caratteristiche devono avere abbastanza esempi, Apporto di insight umani, Rappresentazione delle caratteristiche
Introduzione, Machine learning e statistiche, Feature engineering di base, Coursera: Introduzione a Google Cloud e Qwiklabs, Introduzione al lab: Esecuzione del feature engineering di base in BigQuery ML, Feature engineering avanzato - Incroci di caratteristiche, Funzioni BUCKETIZE e TRANSFORM, Previsione dei prezzi delle abitazioni, Stima delle tariffe dei taxi, Caratteristiche temporali e di geolocalizzazione, Introduzione al lab: Feature engineering di base in Keras, Introduzione al lab: Feature engineering avanzato in Keras
Introduzione, Apache Beam e Dataflow, Termini e concetti di Dataflow
Introduzione, Che cos'è un incrocio di caratteristiche, Discretizzazione, Introduzione al lab: TensorFlow Playground - Utilizzo degli incroci di caratteristiche per creare un buon classificatore., Introduzione al lab: TensorFlow Playground - Il troppo stroppia
Introduzione, TensorFlow Transform, Fase di analisi, Fase di trasformazione, Supporto della distribuzione
Riepilogo, Risorsa: Tutte le domande del quiz, Risorsa: Tutte le letture, Risorsa: Tutte le slide (English only)
Course: Comparative Health Systems
Modules:
Welcome to the Course, Course Self-Assessment, Comparing Health Systems Part 1, Comparing Health Systems Part 2, Populations Have Histories, Measuring Population Health: Part 1, Measuring Population Health: Part 2, Comparative Methodology: WHO Building Blocks Framework, Comparative Methodology: Systems Thinking
The American Health Care Paradox, Discussion with Professor Corbett: Health Spending vs. Social Spending, United States: Governance and Leadership, United States: Finance, Discussion with Professor Corbett: Funding Long-Term Care in the U.S., United States: Service Delivery, United States: Pharmaceuticals, Workforce, and Information, Discussion with Professor Corbett: Pharmaceutical Spending in the U.S., United States Health Care System Review
Introduction to Germany and the United Kingdom, Germany: Leadership and Governance, Germany: Finance and Information, Germany: Workforce, Service Delivery, and Pharmaceuticals, Discussion with Professor Corbett: Germany and Preventative Care, German Health System Outcomes, England: Leadership and Governance, England: Finance and Information, England: Workforce, England: Service Delivery and Pharmaceuticals, England Health System Outcomes, Discussion with Professor Corbett: National Health Service Outcomes
Brazil and China: Two Large Middle-Income Countries, Brazil: Governance and Leadership, and Information, Brazil: Finance, Brazil: Workforce, Service Delivery, and Pharmaceuticals, Health System Outcomes, China: Government and Leadership, China: Finance, Information, China: Service Delivery and Pharmaceuticals, China: Workforce, Discussion with Professor Corbett: Hospital Funding in China, Discussion with Professor Corbett: Primary Care as First Point of Contact, Health System Outcomes, Course Conclusion
Course: Product Management
Modules:
Bienvenida al curso, Video: Filosofía de orientación al cliente, Los productos como soluciones: componentes de la innovación, Gestión de productos, de la estrategia a la implementación, Acciones para gestionar el ciclo de vida del producto
Distintos compradores, distintas prioridades: los tipos de mercado, ¿Por qué compran los que compran? Una mirada a las motivaciones, Aproximación psicológica a la demanda: los productos y el consumo simbólico, La compra simbólica en mercados de empresa a empresa (B2B)
¿Para qué sirven las marcas?, La decisión de marca para nuevos productos, Del producto a la experiencia del cliente, Qué es el camino del cliente y cómo optimizarlo
Course: Cross-Cultural Communication and Management
Modules:
Course Introduction, Module Introduction, Non-Verbal Communication, Listening As a Skill, Active Listening, A Framework: Interpersonal Gap, Module Summary
Module Introduction, The "Language" of Culture, Differences In Communication, Formal vs. Informal
Module Introduction, The Awareness Wheel, Awareness Wheel Activity, Communication That Negotiates Conflict, Confrontation and Culture
Module Introduction, Exploring Other Cultural Communications, Skills to Respond to Cultural Differences, Building Cultural Norms, Course Summary
Course: APIs في Swift: استخدام Restful APIs في اداره البيانات
Modules:
إنشاء طلب البيانات, تنفيذ طلب البيانات, مراقبة طلبات البيانات, نشاط تطبيقي (تنفيذ طلب اضافة منتج), التعامل مع نتيجة الطلب, طلب رمز مع المصادقة والاحتفاظ به, استخدام رمز المصادقة في الطلبات, تحدي مجمع
Course: Manager dans l'incertain
Modules:
Présentation de la démarche, Présentation de l'outil associé : le DMC
Case 1: Objectifs / Valeurs
Case 2 : Certitudes
Case 3 : Angles morts
Case 4 : Explorations
Case 5 : Attentes et métriques
Case 6 : Agenda
Case 7 : Découverte sur les certitudes
Case 8 : Découvertes sur les angles morts
Case 9 : Changements sur le projet
Case 10 : Bénéfices / Risques du changement
Case 11 : Stop ou encore ?
Case 12 : Nouveaux Objectifs / Nouvelles Valeurs
Course: Juniper Networks Junos Automation Basics and XML
Modules:
Welcome to Introduction to Juniper Networks Platform Automation and DevOps, Junos OS Basic Design Architecture, Traffic Processing, CLI Modes and Features, CLI Configuratioin, Initial Configuration Tasks, Interface Types and Configuration, Network Operations, DevOps Principles, DevOp Practices, Junos Automation API Overview, Overview of Junos Automation Tools, XML Document Format, XML in the Junos OS, Navigating XML using Xpath
Course: Getting Started with Tableau
Modules:
Course Introduction, Introduction to Tableau, Download and Install Tableau Public, Importing Data into Tableau, Navigating the Tableau Interface, Data Cleaning Techniques in Tableau, Creating Basic Visualizations, Saving, Exporting, and Sharing Your Work
Enhancing Visual Appeal with Customization, Creating and Customizing Advanced Visualizations, Empowering User Interaction with Filters and Highlighting, Principles of Dashboard Design in Tableau, Organizing Visual Elements on Dashboards, Creating Interactive Filters and Parameters, Real-Time Data Updates and Refresh Options, Principles of Story Creation in Tableau, Creating Stories in Tableau, Enhancing and Customizing Stories
Congratulations and Next Steps, Thanks from the Course Team
Course: Application Deployment, Debug, Performance 日本語版
Modules:
本コースへようこそ, Cloud Build、Container Registry、Deployment Manager によるアプリケーションのデプロイ, デプロイにコンテナを使用する理由, Cloud Build と Deployment Manager を使用してパイプラインを構築する, Deployment Manager の使用デモ, Getting Started with Google Cloud Platform and Qwiklabs, ラボの概要, まとめ
Google Cloud で使用できる実行環境の概要, Dataflow, Cloud Functions, App Engine フレキシブル環境, Google Kubernetes Engine, Cloud Run, Compute Engine, ラボの概要, まとめ
Google Cloud のオペレーション スイート - マルチクラウド サービス, アプリケーションのデバッグ, ラボの概要, ロギング, パフォーマンスのモニタリングと調整, パフォーマンスに関する問題の特定とトラブルシューティング, デプロイとモニタリングのデモ, ラボの概要, まとめ, コースのまとめ