dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Data Structures and Design Patterns for Game Developers
Modules:
Course Introduction, Stand-Alone Course, Course Introduction, Specialization Course, Navigating a Coursera Course (optional), Meet the Instructor (optional), Lesson Introduction, Unordered ints, Ordered ints, Making it Generic, Implementing an Interface, Lesson Introduction, What is Algorithm Analysis?, Introduction to Big O, Big O Examples, Unordered Dynamic Array Analysis, Ordered Dynamic Array Analysis
Lesson Introduction, Linked List Implementation, Linked List Analysis, Lesson Introduction, Graph Implementation, Graph Analysis, Dictionaries, Searching a Graph
Lesson Introduction, Stack Implementation, Stack Analysis, Lesson Introduction, Queue Implementation, Queue Analysis, Lesson Introduction, Recursion, Recursive Binary Search, Tree Implementation, Tree Analysis, Tree Traversal, Minimax Search, Minimax Implementation
Lesson Introduction, Game Loop and Update Method, Component, Prototype, Singleton, Observer, Mediator, Object Pool, State, Strategy, Template Method, Finishing Up. Stand-Alone Course, Finishing Up, Specialization Course
Course: Actúa ante el dolor crónico
Modules:
Introducción al Curso "Actúa ante el dolor crónico" (vídeo), Aprendizaje online (vídeo), Objetivos en salud (vídeo)
[Tema 1. El dolor] ¿Qué es el dolor? 7 pasos contra el dolor_Paso 1 (Obra Social La Caixa), [Tema 1. El dolor] Conocer el dolor, [Tema 1. El dolor] ¿Qué es el dolor?, [Tema 2. La epidemiología del dolor] Epidemiología del dolor, [Tema 3. Tipos de dolor] Resumen del tema "Tipos de dolor", [Tema 3. Tipos de dolor] Tipos de dolor (entrevista Jordi Casanovas), [Tema 4. Mapa del dolor] Mapa del dolor, Las causas del dolor, El dolor en la vida cotidiana, Conocer el círculo, Los impactos del dolor
¿Cómo poner freno al dolor?, Objetivos en salud, Vías del dolor, La teoría de la compuerta del dolor, El dolor emocional, Evaluando el dolor, Pasos contra el dolor
Estrategias de abordaje, ¿Cómo se puede sobrellevar el dolor crónico?, El modelo de dolor biopsicosocial, 10 pasos para afrontar el dolor, Seguimiento del objetivo en salud y resolución de problemas, Los contextos de vulnerabilidad de género del dolor (Parte I), Los contextos de vulnerabilidad de género del dolor (Parte II), Los contextos de vulnerabilidad de género del dolor (Parte III), Los contextos de vulnerabilidad de género del dolor (Parte IV)
La conciencia plena, Ejercicios de conciencia plena, La motivación, Pensamiento positivo, La relajación, Resiliencia, Técnica de solución de problemas, Trabajando para mejorar la comunicación con nuestro entorno, Regulando las emociones, Gestión emocional
¿Cómo valorar nuestra actividad física?, La importancia de la actividad física, Ponte a prueba. Busca una actividad física, Ejemplos de ejercicios para personas con cervicalgia, Ejemplos de ejercicios para personas con lumbalgia, Ejemplos de ejercicios para personas con artrosis, La importancia de una alimentación saludable, Alimentos que pueden ayudar a mantener a raya el dolor, La importancia del descanso, La actividad diaria, Autocuidado de la salud, Kit de visita médica. 7 pasos contra el dolor_Paso 4 (Obra Social La Caixa), La adherencia a los tratamientos, Implicarse en la adherencia a los tratamientos
Course: Haz sonar la alarma: Detección y respuesta
Modules:
Introducción al curso 6, Dave: Desarrolla tu carrera en ciberseguridad con mentores, Te damos la bienvenida a la semana 1, Introducción al ciclo de vida de la respuesta a incidentes, Equipos de respuesta a incidentes, Planes de respuesta a incidentes, Herramientas de respuesta a incidentes, El valor de la documentación, Sistemas de detección de intrusiones, Gestión de alertas y eventos con herramientas de gestión de eventos e información de seguridad (SIEM) y orquestación, automatización y respuesta de seguridad (SOAR), Resumen
Te damos la bienvenida a la semana 2, Casey: Aplica las habilidades blandas en ciberseguridad, La importancia de los flujos de tráfico de red, Ataques de exfiltración de datos, Paquetes y capturas de paquetes, Interpreta las comunicaciones de red con paquetes, Revisa los campos del encabezado de un paquete, Capturas de paquetes con tcpdump, Resumen
Te damos la bienvenida a la semana 3, La fase de detección y análisis del ciclo de vida, Los beneficios de la documentación, Evidencia documentada con formularios de cadena de custodia, El valor de los manuales de estrategias de ciberseguridad, El rol del triaje en la respuesta a incidentes, Robin: Fomenta la colaboración entre equipos, La fase de contención, erradicación y recuperación del ciclo de vida, La fase de actividad del ciclo de vida posterior a un incidente, Resumen
Te damos la bienvenida a la semana 4, La importancia de los registros, Variaciones de registros, Monitoreo de seguridad con herramientas de detección, Componentes de una firma de detección, Examina firmas con Suricata, Examina registros de Suricata, Reexamina las herramientas SIEM, Consulta para eventos con Splunk, Consulta para eventos con Chronicle, Resumen, Resumen del curso
Course: B2B and Territory Sales Strategies and Techniques
Modules:
Introduction to the Course
Understand Territory Dynamics to Unlock Strategic Opportunity, Mapping Your Success: Essential Steps for Effective Territory Planning and Resource Allocation
Business-to-Business (B2B) Sales Strategies and Techniques, Solution Selling/Consultative Selling
Leveraging Technology for Strategic Client Needs Assessment, Tech-Driven Sales Mastery: Harnessing CRM and Analytics for Peak Performance
Course: Using Design to Generate Innovative Business Solutions
Modules:
Welcome, Gaining Insight and Testing with a Prototype, Managing Bias in the Design Process, The Five Stages of Design Thinking, Guest Speaker Interview: Melanie Arens, Why We Hire and Fire Products
Introduction to Choosing a Business Model to Take Your Solution to Market, Incremental Change versus Radical Innovation, Guest Speaker Interview: Manoj Chiba, Successful Business Model Innovators, Sustainable Business Model Innovators
Introduction to Design Tools to Evolve Your Business Model in Market, Finding the Right Fit: Problem-Solution, Product-Market, and Commercial Fit, Guest Speaker Interview: Beata Giermasinska, Shared Value Model, Defining a Conversion Funnel
Introduction to Pain Points and Success, The Neuroscience Behind Cognitive Load, Leveraging Cognitive Load and User Benefit, Growth Hacking, Design is About Discipline
Course: AWS Cloud Technical Essentials
Modules:
Welcome to AWS Cloud Technical Essentials, Meet the Instructors, Course Feedback, Introduction to Week 1, AWS Global Infrastructure, Interacting with AWS, Security and the AWS Shared Responsibility Model, Protect the AWS Root User, Introduction to AWS Identity and Access Management, Role Based Access in AWS, Introduction to Lab 1, Demo AWS IAM, Hosting the Employee Directory Application on AWS
Introduction to Week 2, Compute as a Service on AWS, Introduction to Amazon Elastic Compute Cloud, Amazon EC2 Instance Lifecycle, Demonstration: Launching the Employee Directory Application, Container Services on AWS, Introduction to Serverless, Serverless with AWS Fargate, Introduction to AWS Lambda, Choose the Right Compute Service, Networking on AWS, Introduction to Amazon VPC, Amazon VPC Routing, Secure Your Network with Amazon VPC Security, Hybrid Connectivity with AWS, Introduction to Lab 2, Demo Re-launching Employee Directory App
Introduction to Week 3, Storage Types on AWS, Amazon EC2 Instance Storage and Amazon Elastic Block Store, Object Storage with Amazon S3, Choose the Right Storage Service, Demo Creating an Amazon S3 Bucket, Explore Databases on AWS, Amazon Relational Database Service, Purpose Built Databases on AWS, Introduction to Amazon DynamoDB, Introduction to Exercise 3, Demo Creating an Amazon DynamoDB Table
Introduction to Week 4, Monitoring on AWS, Introduction to Amazon CloudWatch, Optimizing Solutions on AWS, Amazon EC2 Auto Scaling, Route Traffic with Amazon Elastic Load Balancing, Introduction to Lab 4, Demo Making Employee Directory Application, Redesigning the Employee Directory, Introduction to Amazon Bedrock, Introduction to Amazon Q, Amazon Q Developer Basics, Amazon Q Developer Demonstration, Amazon Q Developer Security Scanning
Course: Applied Data Science Capstone
Modules:
Project Scenario and Overview, Data Collection Overview, Data Wrangling Overview
Exploratory Data Analysis Overview
Interactive Visual Analytics and Dashboards
Predictive Analysis Overview
Elements Of A Successful Data Findings Report, Best Practices For Presenting Your Findings
Course: Open Source Programming - Bachelor's
Modules:
Instructor Welcome and Course Overview, Instructor Introduction, Module 1 Introduction, IPO Intro Ch. 2.1-2.3, Comments, Variables, Data Conversions 2.4-2.6 - Part 1, Comments, Variables, Data Conversions 2.4-2.6 - Part 2, Calculations, More on Data Output and Constants Ch. 2.7-2.9 - Part 1, Calculations, More on Data Output and Constants Ch. 2.7-2.9 - Part 2
Module 2 Introduction, If Else Statements Ch. 3.2, String Comparisons Ch. 3.3, Nested ifs, Logical Operators/Boolean Logic Ch. 3.4-3.6 - Part 1, Nested ifs, Logical Operators/Boolean Logic Ch. 3.4-3.6 - Part 2
Module 3 Introduction, While and For Loop Structures Ch. 4.2-4.3, Running Totals and Sentinel Values Ch. 4.4-4.5, Input Validation and Nested Loops Ch. 4.6-4.7
Module 4 Introduction, Defining Functions Ch. 5.2-5.4, Passing Arguments and Value Returning Functions Ch. 5.5-5.8 - Part 1, Passing Arguments and Value Returning Functions Ch. 5.5-5.8 - Part 2, Modules Ch. 5.9-5.10 - Part 1, Modules Ch. 5.9-5.10 - Part 2
Module 5 Introduction - Part 1, Module 5 Introduction - Part 2, Loops, Records, and Exceptions Ch. 6.2-6.4 - Part 1, Loops, Records, and Exceptions Ch. 6.2-6.4 - Part 2, Lists Ch. 7.1-7.2, List Slicing Ch. 7.3-7.4, List Functions, Two-Dim. Lists, Tuples Ch. 7.5-7.9 - Part 1, List Functions, Two-Dim. Lists, Tuples Ch. 7.5-7.9 - Part 2
Module 6 Introduction - Part 1, Module 6 Introduction - Part 2, Dictionaries Ch. 9.1 - Part 1, Dictionaries Ch. 9.1 - Part 2, Sets Ch. 9.2, Serialization Ch. 9.3
Module 7 Introduction, Classes Ch. 10.2-10.4, Intro to Inheritance Ch. 11.1, Polymorphism Ch. 11.2
Module 8 Introduction, Widgets Ch. 13.3-13.8 - Part 1, Widgets Ch. 13.3-13.8 - Part 2, Databases - Making the Connection!, Database Programming (Queries) | Python Docs Sqlite3 Ref. (API 2.0) - Part 1, Database Programming (Queries) | Python Docs Sqlite3 Ref. (API 2.0)  (Part 2), Database Programming in Action, Course Supplementals: Web Scraping, Course Supplementals: Test Driven Development (TDD)
Summative Course Assessment
Course: Value Creation and Building Enduring Relationships
Modules:
University of Colorado's EMP Leadership Progression, Shareholders vs Stakeholders, Stakeholder Mapping, LTO Stakeholder Perspectives, LTO Stakeholder Perspectives Leadership Learning Scenario​
Stakeholder Value Creation​, Successful Change Creates Value​, Innovative Value Creation & Creating Shared Value (CSV)​, Customer Satisfaction & Disruption Through Intrapreneurial Activities​, LTO Value Creation Leadership Learning Scenario​
A Leaders Role in Strategy​, Types of Strategies​, Strategic Vision & Mission Statements, Your Own Strategic Plan, LTO Vision & Mission Leadership Learning Scenario
Establishing Enduring Relationships, Customers as Partners​, Mentor & Mentee Relationships, Effective Communications, LTO Customer Relationships Leadership Learning Scenario
You as an Organizational Leader, Getting Organized & Time Management​, Obtaining Your First Leadership Position, LTO Becoming a Leader Learning Scenario​, Course Summary​
Course: Inspirar el liderazgo a través de la inteligencia emocional
Modules:
Mirar: Introducción al curso, Mirar: ¿Qué es un gran liderazgo?, Mirar: Los líderes resonantes crean experiencias de esperanza, compasión y consciencia plena, Mirar: La neurociencia del liderazgo
Mirar: Las emociones son contagiosas, Mirar: Estrés y renovación, Mirar: Estrategias para la renovación y el desarrollo de relaciones resonantes
Mirar: Competencias de inteligencia emocional, social y cognitiva, Mirar: EI y SI en varios campos de trabajo
Mirar: Personas clave y relaciones que lo inspiraron, Mirar: Los atractores emocionales positivos (PEA) y negativos (NEA)
Mirar: Estudios y evidencia neurológica de instrucción para el PEA, Mirar: Sobrevivir y prosperar: equilibrio entre el PEA y el NEA, Mirar: Practicar conversaciones que inspiran
Mirar: La batalla entre el yo ideal y el deber ser, Mirar: El comienzo de su visión personal, Mirar: Desarrollo de su visión personal, incluidas las etapas de vida y carrera
Mirar: Cambio de varios niveles: Grupos de liderazgo e identidad resonantes, Mirar: Desarrollo de una visión compartida en equipos y organizaciones, Mirar: Investigación reciente sobre el impacto de la visión compartida, Mirar: Cambio de equipo y desarrollo de identidad social
Mirar: El yo real frente al sí mismo falso y una agenda de aprendizaje, Mirar: Experimentación y práctica, Mirar: Revisión y resumen
Course: A l’avènement du christianisme : l’archéologie des derniers païens
Modules:
Introduction par le Prof. Baumer, Introduction au module, Histoire de l'Antiquité tardive, De Théodose à Justinien, Le christianisme, l'église et l'armée (organisation, liturgie, dogme), Le christianisme de l'armée, La culture philosophique païenne
Introduction au module, L'utilisation des images par les Chrétiens, Les objets archéologiques à la croisée des langages, Schémas traditionnels pour un nouveau message, Mithra in situ, L'image et le mode de diffusion du culte, Rencontre entre culte de Mithra et christianisme, De Byzance à Constantinople, Les sources littéraires, La ville constantinienne, La christianisation de Constantinople
Introduction au module, Les sources littéraires, Le témoignage de l'archéologie, Temples : abandons et conversions 1. Afrique du nord et Asie Mineure, Temples : abandons et conversions 2. Athènes et l'Attique, Les villas
Introduction au module, Destructions, enlèvements et profanations, Création et réutilisation, Statuaire dans l'espace public, Statuaire dans l'espace privé
Introduction au module, Les mosaïques - Définition, contexte , cadre géographique, Les thèmes mythologiques - Dionysos, Les amours divines - Les sept sages, Achille, Conclusion
Introduction au module, Les monnaies et la Cathédrale de St-Pierre de Genève, Le monnayage tardo-antique au Cabinet de numismatique, Les frappes barbares
Introduction au module, Le paysage à Genève, L'espace intra-muros : le baptistère et la première cathédrale, L'espace suburbain, Le monde rural
Course: 빅 데이터 모델링 및 관리 시스템
Modules:
빅 데이터 모델링 및 관리에 오신 걸 환영합니다, 왜 이 강의가 빅 데이터 전문 과정의 새로운 강의인가요?, 빅 데이터 개요 요약 (파트 1), 빅 데이터 개요 요약 (파트 2), 빅 데이터 개요 요약 (파트 3), 빅 데이터 관리 ‘꼭 해봐야 할 질문’, 데이터 흡수, 데이터 저장소, 데이터 품질, 데이터 연산, 데이터 확장성 및 보안, ConEd에서 에너지 데이터 관리 시 문제점, 게임 업계 데이터 관리: Apmetrix CTO Mark Caldwell과의 Q&A, FlightStats의 항공 데이터 관리: CTO Chad Berkley의 강의
데이터 모델 개요, 데이터 모델 구조, 데이터 모델 연산, 데이터 모델 제약조건, CSV 데이터 개요, 관계형 데이터 모델이란, 반정형 데이터 모델이란, CSV 파일의 관계형 모델 알아보기, JSON 데이터의 반정형 데이터 모델 알아보기, 이미지의 배열 데이터 모델 알아보기, 센서 데이터 알아보기
벡터 스페이스 모델, 그래프 데이터 모델, 기타 데이터 모델, Lucene 검색 엔진의 벡터 데이터 모델 알아보기, Gephi를 활용한 그래프 데이터 모델 알아보기
데이터 모델 vs. 데이터 포맷, 데이터 스트림이란, 스트리밍 데이터는 왜 다를까?, 데이터 호수 이해하기, 스트리밍 센서 데이터 알아보기, Twitter 데이터 스트리밍 알아보기(선택 강의)
빅 데이터에 대한 DBMS 기반/비DBMS 기반 접근법, DBMS에서 BDMS로, Redis: 향상된 키-값 스토어, Aerospike: 차세대 KV 스토어, 반정형 데이터 – AsterixDB, Solr: 텍스트 관리, 관계형 데이터 – Vertica
Eglence Inc.의 게임: Catch The Pink Flamingo
Course: Kotter's Change Framework: Accelerators 5-8
Modules:
Welcome to "Kotter's Change Framework: Accelerators 5-8", Accelerator 5 Case Study, Accelerator 6 Case Study
Accelerator 7 Case Study, Accelerator 8 Case Study
Congratulations!
Course: Descubre el Chino Mandarín: Aprendizaje desde cero
Modules:
¿Qué es el Pinyin?, Finales simples, Iniciales básicas, Palabras nuevas y saludos básicos
Los 4 tonos del chino mandarín, El tono neutro, Iniciales g, k, h y finales compuestas, Palabras nuevas y diálogo: “¿estás ocupado(a)?”
Iniciales j, q, x, Finales ia, iao, ie, in, ing, uo, Palabras nuevas, Diálogo: ¿Cómo te llamas?
Iniciales zh, ch, sh, r, Finales ua, uai, uan, uang, eng, ong, Palabras nuevas, Diálogo: frases de cortesía
Course: Foundations of Virtual Instruction
Modules:
Meet Cindy Carbajal, Interview: The Flipped Classroom
Terminology and Tools for Online Learning, Synchronous Instructional Platforms, Learning Management Systems, Other Online Learning Tools, Optional Readings and Resources, Module 2 References
Similarities and Differences to Teaching in the Classroom, The Changing Field of Curriculum Development and the Role of Outside Vendors, How Different and Evolving Virtual Delivery Models Affect Instruction, The Role of a Virtual Teacher, Optional Readings and Resources, Module 3 References
School Funding, Equity and Access, Legal Considerations, Optional Readings and Resources, Module References
Growth of Online Learning, Trends and Forecasts, Continue Your Learning, Optional Readings and References, Module 5 References, Message from UC Irvine Division of Continuing Education, Post-Course Survey
Course: Introduction to Data, Signal, and Image Analysis with MATLAB
Modules:
Introduction
Data Representation, Statistical Data Analysis, Data Visualization, Dimensionality Reduction, Data Classification, Data Prediction
Signals as Time Dependent Data, Signal Interpolation, Audio Analysis, Convolution Filtering, Signal Frequency Analysis, Sampling and Aliasing
Image Representation, Image Resampling, Image Intensity & Color Distributions, Image Filtering, Image Segmentation
Final Project Specification, Final note
Course: Cloud Architecture Design Patterns
Modules:
Introduction to the Course & Meet Your Instructor, Understanding Cloud Architecture, Key Components of Cloud Systems, Benefits and Challenges of Cloud Computing, Load Balancer Pattern, Circuit Breaker Pattern, Auto-Scaling Pattern, Microservices Architecture, Event-Driven Architecture, Serverless Architecture, Congratulations and Continuous Learning Journey
Course: The Measure Phase for the 6 σ Black Belt
Modules:
Lean Terminology (9:22), Creating Value and Reducing Waste (7:20), The Value Stream Map (6:04), Other Common Process Analysis Tools (4:12)
Types of Data (4:20), Measurement Scales (2:17), Sampling Methods (7:17), The Sampling Plan (7:04)
Metrology (3:50), Measurement Error (9:12), Measurement System Parameters (3:59), Measurement Variation (5:31)
Statistics Terminology (4:02), Measures of Central Tendency (3:46), Measures of Dispersion (3:45), Measures of Position (3:41), Graphical Methods (8:39), Statistical Inference (4:58)
Probability Terminology (3:54), Event Relationships and Operations (4:04), Common Probability Rules (7:04)
Probability Distributions (2:38), Discrete Distributions (8:49), Continuous Distributions (8:59), Other Common Distributions (5:01)
Understanding Process Capability (7:17), Quantifying Process Capability (7:08), Coping with Non-Normal Data in Process Capability (3:57), Process Performance Metrics (4:12)
Course 4 Summative Quiz
Course: Supply Chain Management Strategy
Modules:
What is Supply Chain Management Strategy?, How to Save 2.3% of Revenue
Logistics at MTC, How much inventory do we need?, When to order inventory?, How do you build a logistics network?, Facilities: How many and where?, Factors Influencing Logistics Networks, Logistics Customer Service
Operations at MTC, Lean Operations, Why do companies need warehouses?, How should we design a warehouse?, Lean Inventory
Planning at MTC, Naive Forecast, Cumulative Mean Forecast, Forecast Accuracy, Moving Average, Exponential Smoothing
Sourcing at MTC, Purchasing, Procurement, Supply Management, Strategic Sourcing, Make versus Buy
Solution Example, Thank you for Learning with me!
Course: نماذج السلوك التنظيمي | Organizational Behavior Models
Modules:
تعريف المؤسسة والسلوك التنظيمي ومستوياته, تطبيق عن العناصر الأربعة لنموذج (Mars), أسباب ومراحل تكوين المجموعات (Groups), الـ (Belbin Team Roles Model), متابعة (Belbin Team Roles Model), دراسة الـ (Organizational Behavior Model), قيادة التغيير (Leading Organizational Change), بعض المقترحات لعلاج الشعور بعدم الرضا عن الذات بالـ (Complacency) الجزء الأول, بعض المقترحات لعلاج الشعور بعدم الرضا عن الذات بالـ (Complacency) الجزء الثاني, الخلاصة
Course: Gemini in Google Meet - Bahasa Indonesia
Modules:
Pengantar Gemini di Google Meet, Membuat Gambar Latar menggunakan Gemini, Meningkatkan Pengalaman Video dan Audio, Penjelasan Aktivitas
Course: Managing Security in Google Cloud - Português Brasileiro
Modules:
Bem-vindo ao curso Managing Security in Google Cloud
Aspectos gerais do módulo, Abordagem do Google Cloud em relação à segurança, Monitoramento e segurança de redes VPC, O modelo de responsabilidade compartilhada pela segurança, Ameaças mitigadas pelo Google e pelo Google Cloud, Transparência no acesso, Revisão do módulo
Aspectos gerais do módulo, Cloud Identity, Google Cloud Directory Sync, Microsoft Active Directory gerenciado, Autenticação do Google vs. SSO baseado em SAML, Identity Platform, Práticas recomendadas de autenticação, Introdução da demonstração: como definir usuários com o console do Cloud Identity, Demonstração do laboratório: como definir usuários com o console do Cloud Identity, Revisão do módulo
Aspectos gerais do módulo, Resource Manager, Papéis do IAM, Contas de serviço, Federação de identidade da carga de trabalho, Políticas da organização e IAM, Policy Intelligence, Práticas recomendadas do IAM, Introdução ao laboratório: Como configurar o IAM, Coursera: Guia inicial do Google Cloud Platform e do Qwiklabs, Revisão do módulo
Aspectos gerais do módulo, Regras de firewall de VPC, Padrões de firewall de VPC, Práticas recomendadas para firewall de VPC, Introdução ao laboratório: Como configurar firewalls de VPC, Políticas de balanceamento de carga e SSL, Peering de VPC, Como se conectar ao Google Cloud, Cloud Interconnect, VPC Service Controls, Demonstração: VPC Service Controls, Acesso privado à API do Google, Access Context Manager, Registros de fluxo de VPC, Introdução ao laboratório: Como configurar e usar os registros de fluxo de VPC no Cloud Logging, Cloud IDS, Introdução ao laboratório: Introdução ao Cloud IDS, Revisão do módulo
Managing Security in Google Cloud — Recursos do curso (English only)
Course: Éthique, culture et perspectives mondiales
Modules:
Présentation d'Elizabeth Luckman, Introduction des modules 1 et 2, Informations sur le module 1, Présentation de la professeure Patricia Werhane, Étude de cas - Merck et l'onchocercose, Théories éthiques et leurs contributions à la prise de décisions, Merck et le raisonnement moral, Décision de Merck
Introduction à la théorie des parties prenantes, Bayer CropScience et le problème de travail des enfants, Théorie des parties prenantes, Droits et justice de la théorie des parties prenantes, Bayer CropScience et un cadre de raisonnement moral, Conclusion des modules 1 et 2
Introduction des modules 3, 4 et 5, Présentation du professeur Carlos Torelli, La mondialisation et les forces qui régissent le comportement des consommateurs, Qu'est-ce que la culture ?, En quoi la culture existe-t-elle et se manifeste-t-elle ?, Marques iconiques et équité culturelle
La culture comme structure de connaissances, États d'esprit multiculturels, Biculturalisme et changement de cadre, Assimilation à un cadre culturel
Qu'est-ce que le brassage culturel ?, Comment les gens réagissent-ils au brassage culturel ? – Réactions cognitives, Comment les gens réagissent-ils au brassage culturel ? - Réactions évaluatives, Le brassage culturel et ses conséquences - Facteurs qui affectent les réactions évaluatives face au brassage culturel, Conclusion des modules 3, 4 et 5
Course: Health Data Science Foundation
Modules:
Welcome to this course!, Introduction: Part 1, Introduction: Part 2
Health Data - Introduction, Health Data: EHR, Notes, Health Data: Claims, Signals, Health Data: Images, Literature, Drugs, Health Data Standards: Intro & ICD, Health Data Standards: CPT, LOINC, NDC, Health Data Standards: SNOMED, Health Data Standards: UMLS
Prediction Target, Cohort Construction, Feature Construction, Predictive Model and Evaluation, Dimensionality Reduction, Clustering, Performance Metrics, Classification Metrics, Regression and Clustering Metrics
Single Neuron Basics, Training a Single Neuron: SGD, Forward and Backward Computation, Multilayer Neural Network
Course: New Tech Ventures
Modules:
Course Overview, Instructor Introduction, Module 1 Introduction, Introduction to Innovation - Part 1, Introduction to Innovation - Part 2, Entrepreneurial Mindset - Part 1, Entrepreneurial Mindset - Part 2, Ethics in Entrepreneurship - Part 1, Ethics in Entrepreneurship - Part 2
Module 2 Introduction, Team Assembly, Finding Co-Founders and Building a Team - Part 1, Team Assembly, Finding Co-Founders and Building a Team - Part 2, Cultivating Company Values - Part 1, Cultivating Company Values - Part 2, Managing Cofounder Dynamics - Part 1, Managing Cofounder Dynamics -Part 2
Module 3 Introduction, Fundamentals of Design Thinking - Part 1, Fundamentals of Design Thinking - Part 2, Applying Ideation Techniques - Part 1, Applying Ideation Techniques - Part 2, Prototyping and Feedback - Part 1, Prototyping and Feedback - Part 2
Module 4 Introduction, Conducting Effective Market Research - Part 1, Conducting Effective Market Research - Part 2, Analyzing the Competitive Environment - Part 1, Analyzing the Competitive Environment - Part 2, Global Market Positioning - Part 1, Global Market Positioning - Part 2
Module 5 Introduction, Creating Business Models - Part 1, Creating Business Models - Part 2, Value Proposition Design - Part 1, Value Proposition Design - Part 2, Navigating Regulatory and Legal Landscapes - Part 1, Navigating Regulatory and Legal Landscapes - Part 2, Navigating Regulatory and Legal Landscapes - Part 3
Module 6 Introduction, Customer Discovery Techniques - Part 1, Customer Discovery Techniques - Part 2, Customer Discovery Techniques - Part 3, Iterative Prototyping - Part 1, Iterative Prototyping - Part 2, Validating Problem - Solution Fit - Part 1, Validating Problem - Solution Fit - Part 2, Validating Problem - Solution Fit - Part 3
Module 7 Introduction, Basics of Financial Planning - Part 1, Basics of Financial Planning - Part 2, Basics of Financial Planning - Part 3, Financial Modeling Techniques - Part 1, Financial Modeling Techniques - Part 2, Financial Modeling Techniques - Part 3, Financial Modeling Techniques - Part 4, Funding Strategies and Investor Relations - Part 1, Funding Strategies and Investor Relations - Part 2, Funding Strategies and Investor Relations - Part 3, Funding Strategies and Investor Relations - Part 4
Module 8 Introduction, Crafting Compelling Pitches - Part 1, Crafting Compelling Pitches - Part 2, Storytelling in Business Communication - Part 1, Storytelling in Business Communication - Part 2, Storytelling in Business Communication - Part 3, Delivering Pitches and Closing Sales - Part 1, Delivering Pitches and Closing Sales - Part 2
Summative Course Assessment
Course: React المتقدم
Modules:
مقدمة إلى الدورة التدريبية, React وفرص حياتك المهنية, إعداد VS Code (اختياري), تخطيطات الشبكة, تحويل القوائم في JavaScript, تصيير مكون قائمة بسيط, ما هي المفاتيح في React؟, استخدام المفاتيح داخل مكونات القائمة, ما هي المكونات المضبوطة؟, إنشاء مكون نموذج في React, إنشاء مكون نموذج مضبوط, ما تعرفه عن الخاصيات والحالة, ما هو السياق، ولماذا يُستخدم؟, ملخص الوحدة: المكونات
استخدام خطافات React, مراجعة استخدام خطاف useState, استخدام خطاف useState, ما هي الآثار الجانبية؟, استخدام خطاف useEffect, ما هي قواعد الخطافات؟, ما الذي تحتاج إلى معرفته قبل جلب البيانات, جلب البيانات - تجميع كل ذلك معًا, واجهات برمجة التطبيقات, ما هو useReducer وكيف يختلف عن useState, useRef للوصول إلى DOM الأساسي, ملخص الوحدة: خطافات React والخطافات المخصصة
JSX، والمكونات والعناصر, أهمية الأداء لتطوير البرمجيات, تركيب المكون باستخدام العناصر الأبناء, التعامل مع العناصر ديناميكيًا في JSX, سمات Spread, المخاوف الشاملة في React, أنشئ HOC لموضع المؤشر, خاصيات التصيير, لماذا مكتبة اختبار React, كتابة الاختبار الأول للنموذج الخاص بك, أدلة النمط, ملخص الوحدة: JSX والاختبار
ملخص الدورة التدريبية: React المتقدم, شرح الحل: ملف نماذج الأعمال, تهانينا، لقد أكملت الدورة التدريبية حول React المتقدم
Course: Building Batch Data Pipelines on GCP en Español
Modules:
Introducción al curso
Introducción al módulo, EL, ELT y ETL, Consideraciones de calidad, Cómo realizar operaciones en BigQuery, Limitaciones, ETL para resolver problemas de calidad de los datos
Introducción al módulo, El ecosistema de Hadoop, Ejecuta Hadoop en Dataproc, Cloud Storage en lugar de HDFS, Optimización de Dataproc, Optimización del almacenamiento de Dataproc, Optimización de las plantillas y el ajuste de escala automático de Dataproc, Optimización de la supervisión de Dataproc, Introducción al lab: Ejecuta trabajos de Apache Spark en Dataproc, Coursera: Getting Started with Google Cloud Platform and Qwiklabs, Resumen
Introducción al módulo, Introducción a Dataflow, Por qué los clientes valoran Dataflow, Compila canalizaciones de Dataflow en el código, Consideraciones clave para el diseño de canalizaciones, Transformación de datos con PTransforms, Introducción al lab: Compila una canalización simple de Dataflow, Agrega con GroupByKey y Combine, Introducción al lab: MapReduce en Beam, Datos de entrada adicionales y ventanas de datos, Introducción al lab: Análisis de datos sin servidores con Dataflow: Datos de entrada adicionales, Crea y reutiliza plantillas de canalización, Resumen
Introducción al módulo, Introducción a Cloud Data Fusion, Componentes de Cloud Data Fusion, IU de Cloud Data Fusion, Compilación de una canalización, Exploración de datos con Wrangler, Introducción al lab: Compila y ejecuta un grafo de canalización con Cloud Data Fusion, Organización del trabajo entre los servicios de Google Cloud con Cloud Composer, Entorno de Apache Airflow, DAG y operadores, Programación del flujo de trabajo, Supervisión y registro, Introducción al lab: Introducción a Cloud Composer
Resumen del curso
Course: Mobile Marketing, Optimization Tactics, and Analytics
Modules:
Mobile Marketing Strategy
What are Mobile Applications?, Supplemental Resources, Mobile Experience, The Mobile App Design Process
Success Indicators and KPIs
Testing Methodologies and Strategies, Supplemental Resources, Testing Tools
Course: UX Design Fundamentals
Modules:
Course Introduction, Why Peer Review?, Peer Review Tips, How to apply feedback
Introduction to Week 1, Ideation, Articulation, and Development, Good Ideas, Ideas and Goals, Research and Development, Audience and Rationale, Goals and Outcomes (for the Client/Designer), Naming and Mission
Introduction to Week 2, Mapping, Testing, Envisioning, Mapping Content, Mapping Interaction, Non-Visual Paper Prototyping, Non-Visual User Testing, Sitemap, Look and Feel/Visual Research
Introduction to Week 3, Getting real: Wireframes and Interfaces, Nielsen's Usability Heuristics, What goes where? Part 1, What goes where? Part 2, Consistency and Details, Wireframe Map, Visual Direction, Developing UI, Refining UI
Introduction to Week 4, Making it by faking it, Feeling Real, Additional Prototyping Approaches, Linking Up, Branching Out, Making Pathways, Publish Your Prototype, Design Critique: Example Prototype Submissions
Course: Transformational Leadership for Inclusive Innovation
Modules:
Welcome to Transformational Leadership for Inclusive Innovation, Gender Analytics in organizations, Gender Analytics in the government policy cycle, [Optional] Gender Analytics and the Gender Results Framework, Gender Analytics in the work of NGOs, Gender Analytics in companies
Leadership for impact, Leadership and identity, Leadership and learning
The duty of care, Diversity, creativity, and psychological safety, Three paradigms for managing diversity, Building diverse teams
Making change matter, Overcoming a power disadvantage, Being a change agent, Application Spotlight: Application to your project workplan, Course recap: Transformational Leadership for Inclusive Innovation
Course: Introduction to Network Automation
Modules:
Network Automation Engineering Fundamentals - Specialization Introduction
Module Introduction to Examining Network Management and Operations, Traditional Network Management, Network Automation and Programmability, Network Automation Use Cases, Multidomain Network Automation, Model-Driven Programmability, Controller-Level vs Device-Level Management and Programmability
Model Introduction to Using Python for Network Automation, Python Fundamentals, Network Libraries, Inside Python Modules, Python Package Management, Netmiko
Course: Windows可视化程序设计
Modules:
Windows编程概述, 第一个Windows程序, 例题 同步文本框, 控件, C# Form程序的结构, 窗口和标签、文本框、按钮控件, 分组框、面板、复选框和单选钮控件, 图片框控件的使用
工具提示控件的使用, 数字调节控件的使用, 定时器控件的使用, 鼠标事件与键盘事件, 例题 鼠标事件的响应, 例题 键盘事件的响应, 进度条控件的使用, 列表框、复选列表框和组合框.
Windows绘图基础知识, 画笔与颜色, 画刷与文字输出, 在控件上绘图, 菜单, 例题 小小编辑器, 多窗体应用程序, 对话框, 例题 简易绘图程序, MDI多文档程序
文件和流, 文本文件, 例题 读写文本文件, 二进制文件, 例题 读写二进制文件, 目录操作, 文件操作
Course: Interfacing with the Raspberry Pi
Modules:
Module 1 - Introduction (video), Lecture 1.1 - Network (Updated), Lecture 1.2 - Secure Shell, Lecture 1.3 - SSH Client/Server, Lecture 2.1 - SSH Server (Updated), Lecture 2.2 - Network Programs, Lecture 2.3 - Internet Protocols, Lecture 3.1 - IP Addresses (Updated), Lecture 3.2 - Domain Names, Lecture 3.3 - Client/Server
Module 2 - Introduction (video), Lecture 1.1 - Sockets, Lecture 1.2 - Sending Data (Updated), Lecture 1.3 - Exceptions, Lecture 2.1 - Server Code, Lecture 2.2 - Live Server, Lecture 2.3 - Internet Control, Lecture 3.1 - Python Client Demo, Lecture 3.2 - Python Server Demo
Module 3 Introduction (video), Lecture 1.1 - Network Libraries, Lecture 1.2 - Web Services, Lecture 1.3 - Public APIs, Lecture 2.1 - Twitter's API, Lecture 2.2 - Twitter Registration, Lecture 2.3 - Sending a Tweet, Lecture 2.4 - Sending a Tweet (Demo), Lecture 3.1 - Twython Callbacks, Lecture 3.2 - Tweet Response, Lecture 3.3 - Responding to a Tweet (Demo)
Module 4 Introduction (video), Lecture 1.1 - Camera Module, Lecture 1.2 - picamera Library, Lecture 1.3 - Capturing Images, Lecture 2.1 - Camera (Demo), Lecture 2.2 - PWM on RPI, Lecture 2.3 - Servo Control, Lecture 3.1 - Servo Code, Lecture 3.2 - Servo (Demo)
Course: ÉCHELLE RACE: Dépistage préhospitalier de l’AVC impliquant une occlusion de gros vaisseaux cérébraux
Modules:
Accueil et équipe pédagogique, Le score RACE, pourquoi?, Le score RACE, comment?, Échelle RACE: Supports vidéo d’aide à la formation, Références, Contributions scientifiques pour l’élaboration du score RACE  et financements
Patient 1, Patient 2, Patient 3, Patient 4, Patient 5, Patient 6
Course: NLP System Architecture and Dev-Ops
Modules:
Introducción al ciclo de vida de proyectos de NLP, Problemas habituales en el ciclo de vida de proyectos de NLP, Conclusión del módulo
Herramientas de NLP, Como construir un ambiente de MLOps, Conclusión del módulo
Tutorial: últimos modelos de NLP, Últimos modelos de NLP, Cómo evaluar nuevos módulos de NLP, Conclusión del módulo
Tutorial: Resiliencia y NLP, Resiliencia y NLP, Conclusión del módulo
Course: Quantitative Research
Modules:
Course Introduction, Introduction to Preparing to Design a Quantitative Survey for Market Research, Identifying Business Objectives, Assessing Suitability of Quantitative Research, Building On Qualitative Findings to Inform a Quantitative Survey, Introduction to Various Types of Quantitative Surveys, Online Surveys, Telephone Surveys, In-Person Surveys, Direct Mail Surveys, Steps to Design and Implement a Survey - Part 1, Steps to Design and Implement a Survey - Part 2, Recognizing and Avoiding Common Pitfalls
Introduction to Designing and Implementing a Quantitative Survey, Delineating the Market Segment, Selecting the Survey Methods, Maximizing Response Rates, Maximizing Response Rates: Administering a Survey, Maximizing Response Rates: Level of Trust, Selecting Appropriate Sample Sources, Determining Appropriate Sample Size, Designing a Questionnaire, Designing Appropriate Response Options, Performing Quality Control, Pre-Testing Your Survey
Analyzing a Survey Introduction, Reviewing Your Data and Looking for Errors, The Importance of Scales, Descriptive Analysis: Nominal Data, Descriptive Analysis: Ordinal and Interval Data, Inferential Analysis: Confidence Interval, Testing Hypotheses, Part 1: Overview, Testing Hypotheses, Part 2: An Example Application, Association Analysis: Comparing Groups of People, Association Analysis: Chi-Square Test, Association Analysis: Correlation Analysis, Causal Analysis
Assess Approaches and Interpret Study Results Introduction, Regression and Errors, Multiple Variables, Using Multiple Variables, Multiple Regressions: Understanding What Drives Pricing, Binary Regression, Segmentation and Cluster Analysis, Factor Analysis, Conjoint Analysis, Course Summary
Course: Enterprise and Infrastructure Security
Modules:
Introduction: What You Will Learn from This Course on Cyber Security, Assignments and Reading, Social Engineering, Phishing, Security Awareness, Using Video for Security Awareness, Security Assessment and Audit, What is GRC?, NIST Framework Overview, PCI-DSS Framework Overview, Challenges of Compliance versus Security, Welcome Roger Thornton (Part 1): CTO, AlienVault
Assignments and Reading, Enterprise Shift to Hybrid Cloud, Workload Micro-Segmentation, Defense in Depth through Micro-Segmentation, Cloud Access Security Brokers, Advanced Hybrid Cloud Security Architecture (Part 1), Advanced Hybrid Cloud Security Architecture (Part 2), Advanced Hybrid Cloud Security Architecture (Part 3), Security of Isolated Servers (Outside Perimeter), Welcome John Popolizio: Founder, Riverdale Group
Assignments and Reading, Hashing Algorithms, Blockchain - Part 1, Blockchain - Part 2, Cyber Attribution, Onion Routing and Tor, Chaum Binding Algorithm, Critical Infrastructure - Part 1 - Requirements, Critical Infrastructure - Part 2 - Protection Methods, Welcome Roger Thornton (Part 2): CTO, AlienVault
Assignments and Reading, Mobility Security, IMSI Catching, IoT Security, IoT Botnets, Using Deception and Honey Pots for Security, Welcome Elena Kvochko, Cyber Security Expert, Advice on Careers in Cyber Security, How to Continue a Learning Plan in Cyber Security
Course: Clustering and Classification with Machine Learning in R
Modules:
Welcome to Clustering & Classification with Machine Learning in R, Installing R and R Studio
Read in CSV & Excel Data, Read in Unzipped Folder, Read in Online CSV, Read in Googlesheets, Read in Data from Online HTML Tables-Part 1, Read in Data from Online HTML Tables-Part 2, Read Data from a Database
Remove Missing Values, More Data Cleaning, Introduction to dplyr for Data Summarizing-Part 1, Introduction to dplyr for Data Summarizing-Part 2, Exploratory Data Analysis (EDA): Basic Visualizations with R, More Exploratory Data Analysis with xda, Data Exploration & Visualization With dplyr & ggplot2, Associations Between Quantitative Variables- Theory, Testing for Correlation, Evaluate the Relation Between Nominal Variables, Cramer's V for Examining the Strength of Association Between Nominal Variable
How is Machine Learning Different from Statistical Data Analysis?, What is Machine Learning (ML) About? Some Theoretical Pointers
K-Means Clustering, Other Ways of Selecting Cluster Numbers, Fuzzy K-Means Clustering, Weighted k-means, Partitioning Around Meloids (PAM), Hierarchical Clustering in R, Expectation-Maximization (EM) in R, DBSCAN Clustering in R, Cluster a Mixed Dataset, Should We Even Do Clustering?, Assess Clustering Performance, Which Clustering Algorithm to Choose?
Dimension Reduction-theory, Principal Component Analysis (PCA), More on PCA, Multidimensional Scaling, Singular Value Decomposition (SVD)
Removing Highly Correlated Predictor Variables, Variable Selection Using LASSO Regression, Variable Selection with FSelector, Boruta Analysis for Feature Selection
Some Basic Supervised Learning Concepts, Pre-processing for Supervised Learning
What are GLMs?, Logistic Regression Models as Binary Classifiers, Binary Classifier with PCA, Some Pointers on Evaluating Accuracy, Obtain Binary Classification Accuracy Metrics, More on Binary Accuracy Measures, Linear Discriminant Analysis, Our Multi-class Classification Problem, Classification Trees, More on Classification Tree Visualization, Classification with Party Package, Decision Trees, Random Forest (RF) Classification, Examine Individual Variable Importance for Random Forests, GBM Classification, Support Vector Machines (SVM) for Classification, More SVM for Classification, Variable Importance in SVM Modelling with rminer
Fuzzy C-Means Clustering
Course: Enseñar, aprender y evaluar en Escuelas Rurales
Modules:
Universidad Austral, La mirada sobre las aulas, Enseñar en escuelas rurales, Hacer foco en el aula rural, Potencialidad de las escuelas en contextos rurales
La educación para la diversidad: un enfoque educativo, El diseño de la enseñanza en aulas heterogéneas ¿Cómo pensar propuestas de enseñanza para aulas heterogéneas?, Video de cierre
Porqué diseñar la enseñanza a través de proyectos, Las actividades diferenciadas en un proyecto, Analizar un proyecto
Presentación del módulo. Objetivos, Las decisiones acerca de la evaluación en el aula, Las rúbricas como asistentes de la evaluación de proyectos, El diseño de instrumentos de evaluación
Course: Building Navigational Workflows Using React
Modules:
Context Setting, Create Controlled Components to Implement React Forms​, Watch and Repeat : Build React Forms using Controlled Components, Build Uncontrolled Components to handle Forms​, Watch and Repeat : Build React Forms using Uncontrolled Components, Manage Validations and Error Messages in React Forms​, Watch and Repeat : Validate React Forms using Custom Validation, Practice Brief, Practice Debrief, Learning Consolidation
Context Setting, Explain getting values IN and OUT of Form state using Formik, Create Custom Validations using Formik​, Watch and Repeat : Build React Forms using Formik Library, Manage Validations and Error Messages using Yup, Watch and Repeat : Validate React Forms using Yup, Practice Brief, Practice Debrief, Learning Consolidation
Context Setting, Create Route enabled React Web Application, Watch and Repeat : Configure React Router for React Application, Explain Loading Components Dynamically using the React Router configuration​, Watch and Repeat : Use React Router And Make Application Navigable, Create Nested Routes with Route Parameters, Watch and Repeat : Configure Nested Routes and Route with Parameter, Define Wildcard Route Navigation​, Practice Brief, Practice Debrief, Challenge Brief, Challenge Debrief, Learning Consolidation
Course: Linux Cloud and DevOps
Modules:
Software-as-a-Service (SAAS), Platform-as-a-Service (PAAS), Infrastructure-as-a-Service (IAAS)
Hypervisor Types, Virtual Machines, Bootstrapping, Virtual Networks
Version Control, Committing Changes, Merging Versions, Week 3 Lab Solution
DevOps, Containers, Docker Containers, Orchestration
Course: MLOps with Vertex AI: Manage Features - Español
Modules:
Introducción al curso
Resumen: ¿Cómo ayuda Vertex AI con el flujo de trabajo de las MLOps?, Introducción a Vertex AI Feature Store, Introducción a Vertex AI Feature Store: Demostración
Capacidades principales de Vertex AI Feature Store, Modelo de datos de Vertex AI Feature Store, Introducción a Vertex AI Feature Store, Introducción al lab: Feature Store: SDK de transferencia de transmisión
Resumen
Course: Get Started with Cloud Native, DevOps, Agile, and NoSQL
Modules:
Course Introduction, Welcome to Developing Cloud Native Applications, Cloud Computing Overview, Cloud Native Applications, CNCF, Hybrid Cloud (Optional), Modernizing with Cloud Native Technologies
Introduction to DevOps & CI/CD, Definition of DevOps, Test Driven Development, Behavior Driven Development (BDD), What Is CI/CD?, Benefits of CI, Tools for DevOps, CI and CD, Everyone is Responsible for Success
Introduction to Agile Development and Scrum, Agile Principles, Scrum Overview, Organizational impact of Agile, Mistaking Iterative Development for Agile, Destination Unknown, Agile Roles and the Need for Training, Creating Good User Stories, Effectively using Story Points, Building the Product Backlog, Sprint Planning, The Sprint Review, The Sprint Retrospective
Overview of NoSQL, Overview of MongoDB, Advantages of MongoDB, Use Cases for MongoDB, CRUD Operations, Overview of Cloudant, IBM Cloudant Architecture and Key Technologies, Cloudant Benefits and Solutions
Congratulations and Next Steps, Thanks from the Course Team
Course: Introduction to Cosmetic and Skincare Science
Modules:
Introduction to the Program, Course Introduction, What is a Cosmetic?, The Birth of Beauty, The Global Phenomenon, Categories Within Cosmetics, The Regulatory Framework, The Rise of Technology, Inclusive Cosmetic Design, Customization and Personalization
The Skin Structure, Skin Functions, Skin Types and Texture, Five Layers of the Epidermis, Melanocytes, Langerhans Cells, Merkel Cells, Neonatal skin, Skin Aging: Signs, Factors, and Anti-Aging Strategies, UV Protection and Vitamin D Synthesis, What is the Skin Microbiome?, Types of Microbes, Importance of the Skin Microbiome, Cosmetics and the Microbiome
Surfactants and Emulsifiers, Emollients, Occlusives, and Humectants, Fragrances and Colors, Preservatives, Considering Preservatives as an Ingredient, Considering Sulfates as an Ingredient, Considering Natural Versus Synthetic Ingredients, Considering Synthetic Fragrances
Defining Formulation, The Formulation Development Process, Working Outside the Lab, Skincare: Creams, Lotions, Gels, And Serums, Makeup Products, Haircare Items, Regulations on Stability and Safety, Cosmetic Safety Evaluation, Stability Testing for Cosmetics
Acne, Xerosis, Eczema, and Psoriasis, Hyperpigmentation, Dandruff, Understanding UV Radiation, Sunburn and Skin Cancer, SPF and UVA Protection, Choice of Sun Protection Products
Course: Check Point Jump Start: Harmony Endpoint Security
Modules:
Introduction
Architecture-The Flow, Architecture-Accessing the Endpoint Server
Deployment-Installing the Client on Windows, Deployment-Installing the Client on Linux, Deployment-Visibility, Deployment-Change Policy, Deployment-Upgrade, Deployment-Remove a client
Communication-Port, Services and URLs
Exclusions
Summary
Course: Doping : Sports, Organizations and Sciences
Modules:
General Introduction, Introduction to Module 1, 1- Defining doping, 2- Substance use ordinary practice, 3- The emergence of norms, 4- Stabilising legal norms, Conclusion of module 1
Introduction to Module 2, 1- Why do athletes give in to doping ?, 2- Becoming a bodybuilder and using prohibited substances, 3- Bodybuilder's attitude towards risk, 4- The socialisation of cyclists and pharmacologies, 5- Cyclists' careers and doping, 6- The emergence of norms that define doping- Part I, 7- The emergence of norms that define doping- Part II, Conclusion of Module 2
Introduction to Module 3, 1-The role of the World Anti-Doping Agency, 2-The UEFA's doping policies, 3- The role of the CAS, 4- Doping prevention policies in cycling, Conclusion of Module 3
Introduction to Module 4, 1- How accredited laboratories work and how bioanalyses are carried out, 2- The biological passport and longitudinal approaches, 3-ADAMS -Web-base database management system, 4- The forensic approach to doping, 5- Atypical analysis results and the future of the fight against doping, Conclusion of Module 4, General Conclusion
Course: Innovation and International Strategy
Modules:
Course Introduction, Instructor Introduction, Module 1 Introduction, Why Innovate?, Technology Adoption Life Cycle, Product Life Cycle
Module 2 Introduction, What is Disruptive Innovation?, Types of Disruption, Responding to Disruption
Module 3 Introduction, What is Blue Ocean Strategy?, Core Blue Ocean Strategy Concepts, Market Creation Strategies
Module 4 Introduction, Why Go International?, Analyzing International Markets, International Market Selection
Module 5 Introduction, Types of International Strategies, Entry Strategies, Drivers of Success and Failure
Summative Course Assessment
Course: Azure Network Configuration
Modules:
How to be successful in this course
Course: GenAI for Data Analysts
Modules:
Introduction to GenAI for Data Analysts, History & Background For GenAI and Data Analysts, Demo for Data Processing and Pattern Recognition with ChatGPT, Remediating Risks and Ethical Concerns, Demo for Data Analysis and Insight Generation with ChatGPT, Closing Thoughts: What’s Next