dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Building and Managing Superior Skills
Modules:
Career Self-Management Training, Welcome to Career Development (Skills Management) Lab, What we have learned in Course 1, Why do you need a skill-builder?, How to build a skill-builder, Using Career Development Lab in this course, Case study: Hiring a new employee, Introducing CDL self-coaching toolbox, DREAM Skills for Dream Jobs, Bonus: Managing skills strategically [from Course 1]
Introduction, Critical Tasks, Standards and Benchmarks, Assessment Tools and Rubrics, Expert Assessment, Interviews, Conclusion, Bonus: An interview with Tom Lindsley, CDL: Skills Assessment, CDL Self-Coaching Toolbox:  Getting ready for skills self-assessment
Introduction to self-assessment, Meet Sonya (case study), Sonya’s Self-Assessment (part 1), Sonya's Self-Assessment (part 2), Self-Assessment Exercises, Literature Review, Tools of Self-Assessment, The Accuracy of Self-Assessment, Conclusion, CDL Workout: Self-Coaching Toolbox: Self-Assessment Grid for Evaluation (SAGE), CDL Workout: Self-Coaching Toolbox: Present Job Market Value (PJMV)
Introduction, Final Skill-Building Dashboard, 360 Degree Self-Assessment, Revisiting the SWOT Analysis, More on Job Market Value of Your Skills, Self-Coaching vs. Professional Career Coaching, Implementing Your Strategy, Conclusion, Bonus: Self-assessment of the leadership style: An interview with Elliot Masie, Bonus: Qualities of a leader: An interview with Elliot Masie, Making Sense of Personal Analytics, Course Review
Course: Supply Market Analysis
Modules:
Welcome to Course 5, Macro Level
Industry Level
Supplier Level
Course: AI Foundations: Prompt Engineering with ChatGPT
Modules:
Course Orientation with Andrew Maynard
Welcome to Foundations of ChatGPT and RACCCA, The RACCCA Framework
Welcome to Module 2
Welcome to Prompt Templates
Welcome to Imaginative Prompt Engineering
Thank you!
Course: Exploring AI Possibilities
Modules:
Introduction to Exploring AI Possibilities, What is Artificial Intelligence, How AI Works, Demystifying Types of AI, What AI Makes Possible, Ground Rules for Using AI, Wrapping Up Exploring AI Possibilities
Course: Introduction to Cloud Computing
Modules:
Course Welcome, Definition and Essential Characteristics of Cloud Computing, Expert Viewpoints: Definition and Essential Characteristics of Cloud Computing, History and Evolution of Cloud Computing, Key Considerations for Cloud Computing, Key Cloud Service Providers and Their Services, Cloud Adoption - No longer a choice, Expert Viewpoints: Cloud Adoption Benefits and Use Cases, Cloud Adoption - Some case studies, Internet of Things in the Cloud, Artificial Intelligence on the Cloud, Blockchain and Analytics in the Cloud
Overview of Cloud Service Models, IaaS - Infrastructure as a Service, PaaS - Platform as a Service, SaaS - Software as a Service, Public Cloud, Private Cloud, Hybrid Cloud, Expert Viewpoints: Cloud Computing Service and Deployment Models
Overview of Cloud Infrastructure, Virtualization and Virtual Machines Explained, Types of Virtual Machines, Bare Metal Servers, Secure Networking in Cloud, Containers, Expert Viewpoints: Components of Cloud Computing, Basics of Storage on Cloud, File Storage, Block Storage, Object Storage Overview, Object Storage - Tiers and APIs, CDN - Content Delivery Networks, Expert Viewpoints: Cloud Storage
Hybrid Multi-cloud, Microservices, Serverless Computing, Cloud Native Applications, DevOps on the Cloud, Application Modernization, Expert Viewpoints: Cloud Native and Emergent Cloud Trends
What is Cloud Security - Part 1, What is Cloud Security - Part 2, Identity and Access Management, Cloud Encryption, Cloud Monitoring - Basics and Benefits, Case Studies in Different Industry Verticals, Career Opportunities and Job Roles in Cloud Computing, Expert Viewpoints: Job Market for Cloud Computing
Expert Viewpoints: Your Career in Cloud Computing
Course: e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
Modules:
Welcome to e-Learning Ecologies!, From Didactic Pedagogy to New Learning, What's the Use of Technology in Learning? Introducing Seven e-Affordances, Can Education Lead Technology? The PLATO Story, New Technologies, New Social Relationships and Learning, Society or School: What Determines Educational Outcomes?, Ubiquitous Learning, Part 1A: Learning in Space and Time, Ubiquitous Learning, Part 1B: Personal and Interpersonal Computing, Ubiquitous Learning, Part 1C: Transparency or Surveillance?
Active Knowledge Making, Part 2A: What Does It Mean to Be an Engaged Learner?, Active Knowledge Making, Part 2B: Hierarchical or Horizontal Knowledge Relations, Active Knowledge Making, Part 2C: Memory Work in Learning, Active Knowledge Making, Part 2D: Changing the Balance of Agency, Multimodal Meaning, Part 3A: What’s New About Digital Technologies?, Multimodal Meaning, Part 3B: Multiliteracies and Synesthesia
Recursive Feedback, Part 4A: Why Feedback Matters, Recursive Feedback, Part 4B: Summative Assessment vs. Formative Assessment, Recursive Feedback, Part 4C: Crowdsourcing Prospective or Constitutive Assessment, Recursive Feedback, Part 4D: Socratic Dialogue Finds a Home in the 21st Century, Recursive Feedback, Part 4E: What Are We Assessing Now?, Collaborative Intelligence, Part 5A: Social Learning, Collaborative Intelligence, Part 5B: Collaborative Learning Dynamics, Collaborative Intelligence, Part 5C: Extrinsic and Extrinsic Motivation, Collaborative Intelligence, Part 5D: Success and Failure in Performance Based Assessments
Metacognition, Part 6A: Why Metacognition Matters, Metacognition, Part 6B: Metacognition in e-Learning Ecologies, Differentiated Learning, Part 7A: Learner Differences in Old Classrooms and New, Differentiated Learning, Part 7B: Personalized Learning
Course: Regression & Forecasting for Data Scientists using Python
Modules:
Introduction to Regression & Forecasting for Data Scientists using Python, Introduction to Time-Series Basics, Time-Series Forecasting Use Cases and steps, Forecasting Model Creation, Time-Series Basic Notations, Installing Anaconda and Jupyter Notebook, Data Loading in Python Part 1, Data Loading in Python Part 2, Data Loading in Python Part 3, Feature Engineering in Python Part 1, Feature Engineering in Python Part 2, Visualization in Python Part 1, Visualization in Python Part 2, Visualization in Python Part 3, Time-Series Power Transformation, Moving Average, Exponential Smoothing, Conclusion to Time - Series Analysis and Forecasting
Introduction to Time-Series Models, Test Train Split in Python Part 1, Test Train Split in Python Part 2, Walk Forward Validation, Naïve (Persistence) Model in Python Part 1, Naïve (Persistence) Model in Python Part 2, Auto-regression basics, Auto-regression model creation Part 1, Auto-regression model creation Part 2, With Validation in Python, Moving average model basics, Moving average model in python Part 1, Moving average model in python Part 2, ACF and PACF, ARIMA Model Basics, ARIMA Model in Python Part 1, ARIMA Model in Python Part 2, ARIMA Model validation in python, SARIMA Model, SARIMA Model in Python Part 1, SARIMA Model in Python Part 2, Conclusion to Time-Series Models
Introduction to Linear Regression - Data Preprocessing, The dataset and data dictionary Part 1, The dataset and data dictionary Part 2, Importing data in Python, Univariant analysis and EDD in Python Part 1, Univariant analysis and EDD in Python Part 2, Outlier treatment in Python, Missing value imputation in python, Seasonality in data, Bi-Variant Analysis and Variable Transformation Part 1, Bi-Variant Analysis and Variable Transformation Part 2, Handling quantitative data, Dummy variable creation in python, Correlation analysis, Correlation analysis in python, Conclusion to Linear Regression - Data Preprocessing
Introduction to Linear Regression - Model Creation, OLS method, Accessing Accuracy of Predicted Coefficients Part 1, Accessing Accuracy of Predicted Coefficients Part 2, RSE and R - Square, Simple Linear Regression in Python Part 1, Simple Linear Regression in Python Part 2, Multiple-Linear Regression, Multiple-linear regression Part 1, Multiple-linear regression Part 2, F-Statistics, Results of Categorical Variables, Test-train Split in python, Conclusion to Linear Regression - Model Creation, Conclusion to Regression & Forecasting for Data Scientists using Python
Course: Browser-based Models with TensorFlow.js
Modules:
Specialization Introduction, A Conversation with Andrew Ng, Course Introduction, A Conversation with Andrew Ng, A Few Words From Laurence, Building the Model, Training the Model, First Example In Code, The Iris Dataset, Reading the Data, One-hot Encoding, Designing the NN, Iris Classifier In Code
Introduction, A Conversation with Andrew Ng, Creating a Convolutional Net with JavaScript, Visualizing the Training Process, What Is a Sprite Sheet?, Using the Sprite Sheet, Using tf.tidy() to Save Memory, A Few Words From Laurence, MNIST Classifier In Code
Introduction, A Conversation with Andrew Ng, A Few Words From Laurence, Pre-trained TensorFlow.js Models, Toxicity Classifier, Toxicity Classifier In Code, MobileNet, Using MobileNet, Training Results, MobileNet Example In Code, Converting Models to JavaScript, Converting Models to JavaScript In Code, Linear Example In Code
Introduction, A Conversation with Andrew Ng, A Few Words From Laurence, Building a Simple Web Page, Retraining the MobileNet Model, The Training Function, Capturing the Data, The Dataset Class, Training the Network with the Captured Data, Performing Inference, Rock Paper Scissors In Code, A Conversation with Andrew Ng
Course: Ebola Virus Disease: An Evolving Epidemic
Modules:
Introduction to Ebola, The State of Global Health Pre-Ebola, Part 1, The State of Global Health Pre-Ebola, Part 2, Epidemiology & Virology of Ebola, Part 1, Epidemiology & Virology of Ebola, Part 2, Ecology and the Emergence of Ebola and Other Tropical Forest-Associated Zoonosis, OPTIONAL: Why Send an Army to Fight a Virus?
Treating Patients with Ebola Infection in the U.S.: Lessons Learned, Nursing Perspectives on Treating Patients with Ebola, Training on the Use of Personal Protective Equipment, Lessons Learned, Part 1, Lessons Learned, Part 2
Treatment Options: Therapeutics for Ebola, Ebola Vaccines, Convalescent Serum, International Response, CDC Response to Ebola Epidemic, Community Response, Media Response, OPTIONAL: Emily Veltus
Emory Unit Laboratory: Persons Under Investigation, Emory Unit Laboratory: Persons with Confirmed EVD, Laboratory Testing, Pathogenesis, and Pathology, Part 1, Laboratory Testing, Pathogenesis, and Pathology, Part 2, Exploring The Immune Response to Ebola: Implications for Future Therapeutics and Vaccines
Diagnosis and Evaluation, Transportation of Persons with Ebola, Quarantine Policies, Ebola and Human Rights, Legal Aspects of Ebola Response in the U.S., Part 1, Legal Aspects of Ebola Response in the U.S., Part 2, Ebola, Democracy, Human Rights, and Public Health
Building Resilient Health Systems, Confronting Ebola with Limited Resources: Experience of a Nursing Student in Liberia, Lessons Learned for Global Health, Part 1, Lessons Learned for Global Health, Part 2, Epilogue
Course: IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies
Modules:
Introduction, 1.1 IoT Business & Industry Domains_Part 1, 1.1 IoT Business & Industry Domains_Part 2, 1.1 IoT Business & Industry Domains_Part 3, 1.1 IoT Business & Industry Domains_Part 4, 1.1 IoT Business & Industry Domains_Part 5, 1.2 IoT Products & Services Part 1, 1.2 IoT Products & Services Part 2, 1.2 IoT Products & Services Part 3
2.1 IoT Architecture Part 1, 2.1 IoT Architecture Part 2, 2.1 IoT Architecture Part 3, 2.1 IoT Architecture Part 4, 2.2 IoT Technologies Part 1, 2.2 IoT Technologies Part 2, 2.2 IoT Technologies Part 3, 2.2 IoT Technologies Part 4, 2.2 IoT Technologies Part 5
3.1 IoT Wireless Networks, 3.2 ISM Band, 3.3 IoT WPANs Part 1, 3.3 IoT WPANs Part 2, 3.4 IoT LPWANs Part 1, 3.4 IoT LPWANs Part 2, 3.4 IoT LPWANs Part 3, 3.5 IoT & Mobile Communication Networks Part 1, 3.5 IoT & Mobile Communication Networks Part 2
4.1 Wi-Fi, 4.2 Wi-Fi  DCF & CSMA/CA Part 1, 4.2 Wi-Fi  DCF & CSMA/CA Part 2, 4.2 Wi-Fi  DCF & CSMA/CA Part 3, 4.3 Wi-Fi Standards Part 1, 4.3 Wi-Fi Standards Part 2, 4.3 Wi-Fi Standards Part 3, 4.4 Bluetooth, 4.5 Bluetooth Standards Part 1, 4.5 Bluetooth Standards Part 2, 4.5 Bluetooth Standards Part 3
5.1 Cloud Market Analysis / 5.2 Top Cloud Companies & Services, 5.3 AWS, 5.4 IBM / 5.5 Google, 5.6 Clouds, 5.7 IaaS, PaaS, SaaS, 5.8 IoT & Mobile Cloud Technology / 5.9 MCC (Mobile Cloud Computing), 5.10 Edge Computing, 5.11 Fog Computing, 5.12 MEC (Mobile Edge Computing), 5.13 Cloudlet
6.1 Bluetooth Scan Project, 6.2 Wi-Fi Analysis Project, 6.3 AWS EC2 Project
Course: Amazon EFS Primer
Modules:
Amazon EFS Primer
Course: Azure Networking Fundamentals
Modules:
Geographical Infrastructure of Azure, What is Azure Virtual Network, Capabilities of Azure Virtual Networks, Virtual Network Address Space, Virtual Network Address Space Example, Subnets - What is Subnet?, Creating Virtual Network, Virtual Network Creation Demo, Public IP Address, Choose the apropriate SKU for a public IP, Custom IP address prefix, Add a VM to existing Virtual Network, Routing in Azure, Custom Routes Demo Part 1, Custom Routes Demo Part 2, Conclusion Introduction to Azure Networking
Introduction Azure Virtual Network Connectivity, Different options of Connectivity, Introduction to Site to Site VPN Connections, Steps to Create Site to Site VPN Connection, Introduction Point to Site VPN Connections, Steps to Create Point to Site VPN Connection, Introduction VNet-to-VNet Peering, What is Vnet Peering?, Types of Vnet Peering, What is Gateway Transit?, What is Service Chaining?, VNet Peering Demo Part 1, VNet Peering Demo Part 2, VNet Peering Demo Part 3, Conclusion - Azure Virtual Network Connectivity
Introduction - Azure Load Balancing, What is Load Balancing, Different Load Balancing options in azure, Azure Load Balancer Part 1, Azure Load Balancer Part 2, Azure Load Balancer SKU, Azure Load Balancer Demo(Part1), Azure Load Balancer Demo(Part2), Azure Load Balancer Demo(Part3), Azure Load Balancer Demo(Part4), Azure Application Gateway, Azure Application Gateway SKU, Azure Application Gateway Demo Part 1, Azure Application Gateway Demo Part 2, Azure Application Gateway Demo Part 3, Azure Traffic Manager, Working of Azure Traffic Manager, Traffic Routing methods, Azure Traffic Manager Demo Part 1, Azure Traffic Manager Demo Part 2, Azure Traffic Manager Demo Part 3, Azure Traffic Manager Demo Part 4, Azure Front Door, Azure Front Door Demo Part 1, Azure Front Door Demo Part 2, Azure CDN, Azure CDN Demo, Conclusion - Azure Load Balancing
Module Introduction - Network Security and Monitoring in Azure, Network Security Groups, Application Security Groups, Network Security Groups Demo Part 1, Network Security Groups Demo Part 2, Azure Firewall, Azure Firewall Demo Part 1, Azure Firewall Demo Part 2, Azure DDOS Protection, Azure DDOS Protection Demo Part 1, Azure DDOS Protection Demo Part 2, Azure Network Watcher, Azure Network Watcher Demo Part 1, Azure Network Watcher Demo Part 2, Conclusion - Network Security and Monitoring in Azure
Course: The Art & Science of Product Management
Modules:
The PM with an Eye for Design, Opportunities for PM-Designer Collaboration, Minmin Yang 1 Why PMs Should Care About Design, Minmin Yang 2 What Designers Need from PMs
The AI-ML-Powered PM, Sandy Carter 1 AI in Products Everywhere, Sandy Carter 2 AI Success from Customer Obsession, Sandy Carter 3 AI Success from Bias for Action
Technical PM Interview Questions & Algorithms, Linked Lists, Arrays & Maps, Trees & Combined Data Structures, Recursion vs. Iteration, Twitch Panel 1, Twitch Panel 2, Twitch Panel 3, Twitch Panel 4, Twitch Panel 5, PMing Across the Frontend, Backing into the Backend: SQL, Backing into the Backend: NoSQL & NewSQL, Try My API, The Internet is Not a Series of Tubes, Internet-Related PM Interview Questions, Sabrina Farmer 1 Google Product Engineering, Sabrina Farmer 2 What Engineering Leaders Need from Their PMs, Sabrina Farmer 3 How Engineers Shape Product Success, Nancy Riley 1, Nancy Riley 2, Nancy Riley 3
Course: Planeación ágil para el logro de objetivos
Modules:
Bienvenida, Elabora un roadmap estratégico, Realiza sesiones de refinamiento, Facilita una planning de alto impacto
Course: Marketing Estratégico
Modules:
O que é Marketing Estratégico, Trocas e Conceitos Gerais, Papel Estratégico do Marketing: Clientes e Competidores, Papel Estratégico do Marketing: Companhia, Colaboradores e Contexto, Valor Percebido e Criação de Valor, Miopia de Marketing
Fundamentos do Comportamento do Consumidor, Influências no Comportamento de Compra – Parte 1, Influências no Comportamento de Compra – Parte 2, Caminho para a Compra, Tomada de Decisão e a Economia Comportamental, Aplicação da EC no Marketing
Mercados e seu Ciclo de Vida, Segmentação de Mercados Consumidores, Segmentação Geográfica e Demográfica, Segmentação Psicográfica e Comportamental, Segmentação de Mercados Industriais, Identificação do Mercado Alvo
Importância do Posicionamento, Tipos de Posicionamento, Conceito de Marca, Branding como Ativo Estratégico, Branding e Posicionamento, Positioning Statement
Course: بدء عملية تصميم تجربة المستخدم: التعاطف والتحديد والتصور
Modules:
مقدمة عن الدورة التدريبية 2: التعاطف والتحديد والتصور, إميلي - قوة أبحاث تجربة المستخدم, التعاون والملاحظات على مشروعات المحفظة, مقدمة لأبحاث تجربة المستخدم, كريستي - التصميم وأهمية الملاحظات, اختر طريقة البحث الصحيحة, فهم مزايا وعيوب طرق البحث, ​كريج - رحلتي إلى تجربة المستخدم, حدد أنواع التحيز في أبحاث تجربة المستخدم, ديانا - تحديد التحيز في أبحاث تجربة المستخدم, الملخص: دمج البحث في عملية التصميم
التعاطف مع المستخدمين, توظيف المشاركين في المقابلة, استعد لمقابلات المستخدم, قم بإجراء مقابلات المستخدم, خرائط التعاطف, تحديد شكاوى المستخدم, افهم الشخصيات, الملخص: التعاطف مع المستخدمين وتحديد الشكاوى
مرحبًا بك في الأسبوع 3, صياغة قصص المستخدم, ضع في اعتبارك الحالات الهامشية, أيان - مثال حقيقي للحالات الهامشية, إنشاء خريطة رحلة المستخدم, ضع في اعتبارك سهولة الوصول عند التعاطف, فهم تأثير الرصيف المنخفض, الملخص: إنشاء قصص وخرائط رحلة المستخدم.
مرحبًا بك في الأسبوع 4, إنشاء بيانات المشكلة, تعريف بيانات الفرضية, تحديد عرض القيمة, فهم العوامل البشرية, استكشاف مبادئ علم النفس التي تؤثر على التصميم, الملخص: تحديد مشكلات المستخدم
مرحبًا بك في الأسبوع 5, فهم تصور التصميم, استكشاف الكثير من الأفكار, التعرف على احتياجات العمل أثناء تصور التصميم, نطاق المنافسة, ​قيود عمليات التدقيق التنافسي, خطوات لإجراء تدقيق تنافسي, استخدم الرؤى من عمليات التدقيق التنافسي للتصور, فانيسا - رحلتي إلى تجربة المستخدم, استخدام "كيف يمكننا" للتصور, استخدام الثمانية المجنونة للتصور, ضع في اعتبارك رحلات المستخدم أثناء التصور, الملخص: تصور حلول التصميم, تهانينا على إكمال الدورة 2: التعاطف والتحديد والتصور
Course: Off the Clock: The Many Faces of Time
Modules:
Lecture 1: Aspects of time - Introduction, Lecture 1, Section 1: What is time? - Part 1, Lecture 1, Section 1: What is time? - Part 2, Lecture 1, Section 1: What is time? - Part 3, Lecture 1, Section 1: What is time? - Part 4, Lecture 1, Section 1: What is time? - Summary, Lecture 1, Section 2: How do we perceive time? - Part 1, Lecture 1, Section 2: How do we perceive time? - Part 2, Lecture 1, Section 2: How do we perceive time? - Part 3, Lecture 1, Section 2: How do we perceive time? - Part 4, Lecture 1, Section 2: How do we perceive time? - Summary, Lecture 1, Section 3: How do we think about time? - Part 1, Lecture 1, Section 3: How do we think about time? - Part 2, Lecture 1, Section 3: How do we think about time? - Part 3, Lecture 1, Section 3: How do we think about time? - Summary
Lecture 2, Section 1: The common sense view, Lecture 2, Section 2: Physics, Lecture 2, Section 3: Psychological time, Lecture 2, Section 4: Biological and geological perspectives, Lecture 2, Section 5: Heidegger, Lecture 2, Section 6: History
Lecture 3, Section 1: Introduction to time in humans and non-humans, Lecture 3, Section 2: Time and evolution, Lecture 3, Section 3: Time and animals - Part 1, Lecture 3, Section 3: Time and animals - Part 2, Lecture 3, Section 4: Time in plants and microbes, Lecture 3, Section 5: Time and objects
Lecture 4, Section 1: What does it mean to ask how time is valued? Or, why do we assume time can be valued in the first place?, Lecture 4, Section 2: Does time have a universal value?, Lecture 4, Section 3: Is time running out?, Lecture 4, Section 4: Can we predict the future?
ICA on Time - Different Perspectives about One Topic
Course: Connecting to Devices and Networks
Modules:
Course Overview, Navigating Codio Assignments, Listing and Mounting Hardware (optional download), Monitoring Disk Usage, Partitions and LVM (optional download), RAID (optional download)
Basic Networking Tools (optional download), Name Resolution (optional download), Network Monitoring Tools (optional download)
SSH and Configuration Files (optional download), Backups and Recovery (optional download), Firewalls (optional download)
Course: Início do projeto: Como começar um projeto bem-sucedido
Modules:
Introdução ao Curso 2, Por que o início do projeto é essencial?, Principais componentes do início do projeto, Afsheen: Ouvindo para aprender, Finalização
Introdução: Como definir metas, escopo e critérios de sucesso do projeto, Como determinar as metas e entregas do projeto, Como definir metas SMART, Como navegar por revisões próprias e de colegas, Introdução a OKRs, Como determinar o escopo de um projeto, Como monitorar e manter o escopo de um projeto, Como gerenciar mudanças no escopo de um projeto, Torie: a importância de se manter dentro do escopo, Como lançar e encerrar um projeto, Como definir critérios de sucesso, Finalização
Introdução: Como trabalhar de maneira eficiente com as partes interessadas, Acessibilidade para gerentes de projeto, Como escolher uma equipe de projeto, Como definir funções do projeto, John: A importância de uma equipe de projeto, Como concluir uma análise das partes interessadas, Elementos de um gráfico RACI, Os que completam o certificado: manter-se motivado no programa, Finalização
Introdução: Utilizar recursos e ferramentas para o sucesso do projeto, Recursos essenciais do projeto, O valor da documentação do projeto, Propostas de projetos e termos de abertura 101, Desenvolver um termo de abertura do projeto, Uso de ferramentas para um gerenciamento de projetos eficaz, Explorar tipos de ferramenta de gerenciamento de projetos, Ferramentas comuns de gerenciamento de projetos, Amar: Ferramentas são nossas melhores amigas., Conclusão do curso
Course: Google 데이터 애널리틱스 캡스톤: 사례 연구 활동
Modules:
캡스톤 프로젝트 소개, 리시: 기업이 기대하는 데이터 애널리스트의 자질, 권장사항
사례 연구 활동 시작하기, 애널리틱스 사례 연구 활동의 무한한 잠재력, 포트폴리오 공유
포트폴리오에 대해 이야기, 시나리오 동영상: 소개, 시나리오 동영상: 사례 연구 활동, 시나리오 동영상: 문제 해결, 시나리오 동영상: 협상 조건, 네이슨: VetNet 소개 및 전역 군인을 위한 조언
캡스톤 프로젝트 완료 축하 인사, 마무리 인사, 전문 기회 살펴보기
Course: Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Modules:
Course Introduction
Recap: How does Vertex AI help with the MLOps workflow?, Introduction to Vertex AI Feature Store, Introduction to Vertex AI Feature Store - Demo
Main capabilities of Vertex AI Feature Store, Data Model in Vertex AI Feature Store, Introduction to Vertex AI Feature Store, Lab Intro: Feature Store: Streaming Ingestion SDK
Summary
Course: مقدمة عن قواعد البيانات
Modules:
مقدمة إلى البرنامج, مقدمة إلى قواعد البيانات, يوم في حياة مهندس قواعد بيانات, ما المقصود بقاعدة البيانات؟, كيف ترتبط البيانات؟, الأنواع البديلة لقواعد البيانات, ما المقصودة بلغة الاستعلام الهيكلية؟, استخدام SQL, مزايا SQL, مقدمة عن بناء جملة SQL, ما المقصود بالجداول في قواعد البيانات؟, أنواع المفاتيح في جدول قاعدة البيانات, ملخص الوحدة: مقدمة عن قواعد البيانات
أنواع البيانات الرقمية, أنواع بيانات السلسلة, القيم الافتراضية, إنشاء قاعدة البيانات وإسقاطها, عبارة CREATE TABLE, عبارة ALTER TABLE, عبارة INSERT, عبارة SELECT, عبارة INSERT INTO SELECT, تحديث البيانات, حذف البيانات, ملخص الوحدة: عمليات الإنشاء والقراءة والتحديث والحذف (CRUD)
عوامل SQL الحسابية, العوامل المستخدمة, عوامل المقارنة في SQL, عبارة ORDER BY, عبارة WHERE, عبارة SELECT DISTINCT, ملخص الوحدة: عوامل SQL وفرز البيانات وتصفيتها
تصميم مخطط قاعدة البيانات, المخطط في الاستخدام الفعلي, أنواع مخطط قاعدة البيانات, علاقات الجداول, المفتاح الأساسي, المفتاح الخارجي, إيجاد كيانات, ما المقصود بتسوية قاعدة البيانات؟, نموذج التسوية الأول 1NF, نموذج التسوية الثاني 2NF, نموذج التسوية الثالث 3NF, ملخص الوحدة: تصميم قاعدة البيانات
ملخص الدورة التدريبية: مقدمة إلى قواعد البيانات, تهانينا، لقد أكملت مقدمة إلى قواعد البيانات
Course: Introduction to Image Generation
Modules:
Introduction to Image Generation
Course: Teaching Texts and Forms
Modules:
Teaching Writing Specialization Welcome Video, Teaching Texts and Forms Course Welcome Video, Responding to Your Fellow Learners, Personal Writing Welcome Video, Characteristics of Personal Writing, Benefits of Personal Writing, "Fish Cheeks": Mentor Text for the Personal Essay
Reading Like a Writer Welcome Video, What is "Reading Like a Writer"?, Introduction to "Story in Three Parts", "Tickits" and Teaching Genre Awareness, Rhetorical Analysis of a Text, Observing a Poem
Transactional Writing Welcome Video, What is Transactional Writing?, Writing to Inform, Writing to Instruct, An Audience of (more than) One, Types of Argument, Open-Minded Inquiry, What is Analysis?, Analyzing an Ad
Creative Writing Welcome Video, What is the Creative Process?, The Visual Metaphor: A Creative Exercise, Why Creative Writing?, Assessing Creative Writing, An Introduction to Fiction, An Introduction to Fiction, Part 2, Point of View in Fiction, What is Poetry?, The Speaker, or "Presence," in a Poem
Course: Crafting AI Identities: Strategies & Ethical Considerations
Modules:
Introduction to the Course and Instructor
Importance of AI Identity and Components of AI Identity, User-centric Design Principles
Understanding User Needs and Preferences, Implementing Multimodal Expressions
Human-AI Interaction Ethics, Hands-on Learning to Practice AI Identity Creation
Course: International Communication and East Asian Affairs (3)
Modules:
9-0 Introduction, 9-1 The Concept of Non-fiction, 9-2 The Model, 9-3 The Topic, 9-4   The Interview, 9-5 The Writing, 9-6  The Conclusion
10-0 Introduction, 10-1 The history of radio before Cold War, 10-2 Post-Cold War era, 10-3  Increased international cooperation, 10-4 Recent development, 10-5 Conclusion
11-0 Introduction, 11-1 Opinion Analysis in Political Communication, 11-2 Stance detection and sentiment analysis, 11-3 Classical methods and LLMs, 11-4 ChatGPT and Prompts, 11-5 Hands-on Preparation, 11-6 Hands-on Session, 11-7 Key Takeaways
12-0 Introduction, 12-1 Cheap Fake, 12-2 How to debunk Cheap Fake?, 12-3 From Cheap Fake to Deep Fake/AI-generated image/footage, 12-4 How to debunk AI mis/disinformation?, 12-5 Tools of Verification and conclusion
Final Quiz
Course: Introduction to Programming
Modules:
Welcome to the Course, Module 1 Overview, Meet your Instructor, Why python?, Writing Code in Jupyter Notebook, Variables and Assignment Statements, Arithmetic, Live Coding: Variable Assignment and Arithmetic, Using print() for Output and Strings, Getting Input from the User with input(), Decision Making:  the if Statement, Live Coding: comments and if Statement Example, Built-in Functions: min() and max()
Module 2 Overview, Introduction, algorithms, and pseudocode, Control statements and python keywords, if statements and if..else statements, if..elif..else statements, General form for an if statement, Live Coding:  if...elif...else statement, while statements: example 1, While Statements: Example 2, Live Coding:  while statement, for statements, for statements: example 1 - loop through  letters in a word, for statements: example 2 - loop through numbers using range(), General form for a for loop, augmented assignment, and example 3 - use a for loop to add up numbers, Live Coding:  for statement (and nested statements), Examples using formatted strings, Control statements: break and continue, Boolean Operators: And, Boolean Operators: Or, Not, Live Coding: Using a For Statement to Count Upwards, Intro to Data Science: mean(), median(), and mode(), and Importing a Package, Common Mistakes: If, For, and While
Module 3 Overview, Introduction to Functions, Defining a Function, Calling a Function, Creating a Program that Uses Functions, Variable Scope:  Local vs. Global, Functions With Multiple Parameters, Live Coding:  A Function With No Arguments, Live Coding:  A Function With One 
Argument, Live Coding:  A Function With Two Arguments, Live Coding:  Two Functions in One Program, Random Number Generation, Example: Random Number Generation, The Python Standard Library and the Math Module, Live Coding: Using the Math Module (and Writing a Function)
Module 4 Overview, Review of Functions, Methods, Scope Rules: Local vs. Global, A Deeper Look at Import, Intro to Data Science: Measures of Dispersion, Live Coding of Another Function, With Discussion of Local vs. Global Scope, Live Coding of the Different Uses of Import, With the Math Module, Live Coding of the Use of the Statistics Module: pvariance() and pstdev()
You did it!, What is next?
Course: Insights of Power BI
Modules:
Introduction to Data Visualization, Gateway to the Course, Power BI Interface and its Capabilities, Charts and Graphs in Power BI - Part 1, Charts and Graphs in Power BI - Part 2, Charts and Graphs in Power BI - Part 3, Building your first dashboard - Part 1, Building your first dashboard - Part 2
Why Do We Need To Clean Data?, Preliminary investigations of data, Understanding Relationships between Tables, Understanding Data Model, Cleaning and transforming the Data, Transforming The Data Using Pivot Table, Updating Data with New Information
Introduction to DAX Function, Introduction to Calculated Columns and Row Context, Introduction to Measures and Filter Context, Understanding the Aggregation Function, Understanding the Logical Function, Understanding the Text Function, Understanding the Filter Functions (Calculate and Filter) - Part 1, Understanding Filter Functions (ALL) - Part 3
Introduction to the Global Problem Statement, Identifying the Relationship between Units Sold, Revenue and Online, Understanding the Web Traffic, Understanding Click Through Rate, Understanding Cost Per Click, Comparing Marketing Spent with Total Revenue, Building the Sales and Marketing Dashboard - Part 1, Building the Sales and Marketing Dashboard - Part 2
Course: Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript
Modules:
course introduction, what is design computing?, introduction to python.rhinoscript lesson, introduction to rhinospace.pythonspace, input | processing | output, getting help, variables - an introduction, data types - an introduction, variables demo, data types, debugging lite, what's the point!? lesson, what's the point!? demo, finding points from lines, transformation | rotation, transformation | scale, transformation | copy/move, transformation | putting it all together, design critique: model + code
tuples lesson, lists lesson, tuples demo, lists demo, points and lists, curves and lists, bone structure: example 01, bone structure: example 02 [optional], bone structure: example 03 [optional], iteration (looping) lesson, simple incremental loop, point loop, nested loop: 2D point matrix [part 01], nested loop: 2D point matrix [part 02], attractor point, operators lesson, conditionals lesson, random module, conditionals example, not equal to
debugging lesson, debugging demo, dictionaries lesson, dictionaries, simple dictionary, 2D point matrix dictionary [part 01], 2D point matrix dictionary [part 02], 2D point matrix bone structure, functions lesson, function organization, mid-point function, pulled point function, pulled point example, circle animation example, patterning animation example, compiling GIF animation
3D point matrix lesson, 3D point matrix, 3D point matrix spheres, setting-up surfaces, 3D point matrix cones, planes lesson, planes from points, planes on a curve, 3D matrix circles, 3D matrix wall example
NURB surfaces - 2D lesson, surface points, 2D surfaces example 01, 2D surfaces example 02, 2D surfaces example 03, vectors lesson, vectors, vectors |unitize and scale, vector | add and subtract, surface normal vectors, NURB surfaces - 3D lesson, 3D surface matrix, 3D surface matrix attractor | scale, 3D surface matrix attractor | vector, 3D surface matrix attractor | vector: multiple points, 3D surface matrix attractor | pinch, rendering color, 3D surface matrix example 01, 3D surface matrix example 02, outro
Course: تنسيق الصفحات في مايكروسوفت وورد
Modules:
تحديد حجم الصفحات (Page Size), ترقيم الصفحات (Page Numbering) والأسطر (Lines), الهوامش واتجاه الصفحات (Margins and Page Orientation) وإضافة رأس وتذييل للصفحة (Header & Footer), فواصل وخلفيات الصفحة (Page Breaks and Backgrounds), النقاط والأرقام (Bullets and Numbers), الخاتمة
Course: Smart Device & Mobile Emerging Technologies
Modules:
Introduction, 1.1 Mobile Services Market Analysis, 1.2 Smartphone Market Analysis
2.1 Smart Device Specs, 2.2 Smartphone Chipsets Part 1, 2.2 Smartphone Chipsets Part 2, 2.3 IP Code, 2.4 Sensors, 2.5 GPS, 2.6 Displays, 2.7 Wireless Charging Technology
3.1 Mobile Communications  Evolution Part 1, 3.1 Mobile Communications  Evolution Part 2, 3.1 Mobile Communications  Evolution Part 3, 3.1 Mobile Communications  Evolution Part 4
4.1 Mobile Communications Handover, 4.2 LTE Introduction Part 1, 4.2 LTE Introduction Part 2, 4.3 LTE Components, 4.4 LTE-Advanced Part 1, 4.5 LTE-Advanced Part 2, 4.6 5G Technology, 4.7 5G Architecture, 4.8 5G Core Technology Part 1, 4.8 5G Core Technology Part 2, 4.9 5G Wave Technology Part 1, 4.9 5G Wave Technology Part 2
5.1 iOS Evolution Part 1, 5.1 iOS Evolution Part 2, 5.2 iOS Architecture, 5.3 Android Evolution Part 1, 5.3 Android Evolution Part 2, 5.4 Android Architecture, 5.5 Android vs. iOS
6.1 Smartphone Project, 6.2 Mobile Network Project
Course: Vector Search and Embeddings - Deutsch
Modules:
Warum die Vektorsuche, Einbettungen generieren, Vektorsuche erstellen, Vektorsuche in Aktion, Vektorsuche mit RAG
Course: A Practical Introduction to Test-Driven Development
Modules:
Course Introduction, Unittest module introduction and demo, Module 1 Wrap Up
How to unit test badly, Module 2 Wrap Up
Translating requirements to testable assertions, How unit tests supplement docs, Generating docs with Pylint, Module 3 Wrap Up
Module 4 Wrap Up
A High Level Overview of Mocks, Mocks in Action, Module 5 Wrap Up
Course: Satisfaction Guaranteed: Develop Customer Loyalty Online
Modules:
Introduction to Course 7, Welcome to module 1, Introduction to customer loyalty, Rewards programs, Dynamic remarketing, Post-purchase follow-up methods, Survey customers and ask effective questions, How to provide excellent customer service, Wrap-up
Welcome to module 2, Analyze data to measure e-commerce success, William - The power of data, Shopify analytics and reports, Monitor growth and revenue for an e-commerce store, Use data to improve the performance of an e-commerce store, Evaluate product performance, Wrap-up
Welcome to module 3, Project introduction, Tips to prepare a portfolio for job applications, Jade - Search and apply for jobs, Create a resume, Rahul - Resume tips, Sydney - Resume tips, Isela - Tips for creating a cover letter, Mike - Find the role for you, What is your career identity?, Introduction to the interview process, Get to know your interviewer, Build rapport with interviewers, Jordon - Job interview guidance, Use STAR method to answer interview questions, Laura - Interview tips, Develop an elevator pitch, Nami - Job interview guidance, Jesse - Overcome imposter syndrome when preparing for interviews, Wrap-up, Course wrap-up
Boost your digital marketing skills with AI, Use AI to help you understand your audience, Kickstart your marketing strategy ideas with AI, Use AI to compare two campaign proposals, Improve your email marketing with AI, Brainstorm website copy ideas with AI, Introducing Google AI Essentials, Congratulations on completing the Digital Marketing & E-commerce certificate program!, Exploring professional opportunities, Recap of the certificate program
Course: Python and Statistics for Financial Analysis
Modules:
Course overview, 1.0 Module Introduction, 1.1 Packages for Data Analysis, 1.2 Importing data, 1.3 Basics of Dataframe, 1.4 Generate new variables in Dataframe, 1.5 Trading Strategy
2.0 Module Introduction, 2.1 Outcomes and Random Variables, 2.2 Frequency and Distributions, 2.3 Models of Distribution
3.0 Introduction, 3.1 Population and Sample, 3.2 Variation of Sample, 3.3 Confidence Interval, 3.4 Hypothesis Testing
4.0 Introduction, 4.1 Association of random variables, 4.2 Simple linear regression model, 4.3 Diagnostic of linear regression model, 4.4 Multiple linear regression model, 4.5 Evaluate the strategy
Course: Defining and Implementing Networks - Português
Modules:
Networking in Google Cloud Introduction
Informações gerais do módulo, Informações gerais de redes VPC, IPv6, Tipos de rota, Rotas geradas pelo sistema, Rotas estáticas personalizadas, Rotas dinâmicas, BYOIP, Várias interfaces de rede, Introdução ao laboratório: Como trabalhar com várias redes VPC, Coursera: Introdução ao Google Cloud Platform e o Qwiklabs, Introdução ao DNS, Políticas de Cloud DNS, Introdução ao laboratório: Direcionamento de tráfego usando geolocalização, Revisão do módulo
Informações gerais do módulo, Gerenciamento de identidade e acesso, Restrições de políticas, Regras de firewall, Introdução ao laboratório: Como controlar o acesso a redes VPC, Revisão do módulo
Informações gerais do módulo, Demonstração: VPC compartilhada, Demonstração: VPC compartilhada, Peering de rede VPC, Como importar e exportar rotas personalizadas, Introdução ao laboratório: Como configurar o peering de redes VPC, Como migrar uma VM entre redes, Revisão do módulo
Informações gerais do módulo, Balanceamento de carga, Balanceamento de carga híbrido, Introdução ao gerenciamento de tráfego, Roteamento simples, Roteamento avançado e advertências de roteamento, Introdução ao laboratório: Como configurar o gerenciamento de tráfego com um balanceador de carga, Introdução, Topologias e advertências, Cloud CDN, Cloud CDN Interconnect, Introdução ao laboratório: Armazenamento em cache de conteúdo do Cloud Storage com o Cloud CDN, Revisão do módulo
Course: Transportes e Logística
Modules:
Conceito, Incoterms Origem, Incoterms Destino, Estratégia
Seguro de Cargas, Responsabilidades, Apólice Fechada, Apólice Aberta
Modais de Transporte, Tipos de Navios e Contêineres, Porto de Santos, BL e Despesas
Aéreo, Ferroviário, Rodoviário, Aula 4 | Multimodal
Course: 是誰在說話 -- 可愛的臺灣。（Intermediate Chinese）
Modules:
1.0 Opening, 1.1 Jiufen’s Lanterns （九份的燈籠）, 1.2 Seeing the Sights at Jiufen （九份觀光）, 1.3 Jiufen’s Past and Present （九份的過去與現在）, 1.4 The Times Are a-Changin’ in Jiufen （九份時空的變與不變）, 1.5 Summary
2.0 Opening, 2.1 The Secret of Shi Gan Dang （石敢當的秘密）, 2.2 The Culture of Temples （廟的文化）, 2.3 The Power of the Gods （神的力量）, 2.4 Close-up on Lugang （鹿港特寫）, 2.5 Summary
3.0 Opening, 3.1Romance Under the Setting Sun （夕陽下的戀情）, 3.2 Tainan’s Past and Present （臺南的過去與現在）, 3.3 Nostalgic and Modern （復古又時尚）, 3.4 A Graceful Step （優雅的步調）, 3.5 Summary
4.0 Opening, 4.1 The Flying Fish King and Tao Tribal Elder’s Agreement （飛魚王和達悟長老的約定）, 4.2 Natural Living on Orchid Island （蘭嶼的自然生活）, 4.3 Celebrating the Harvest （慶祝豐收）, 4.4 Beautiful Orchid Island （美麗的蘭嶼）, 4.5 Summary
Course: Clinical Trials Analysis, Monitoring, and Presentation
Modules:
Definitions and Introduction, Sampling and Assumptions, Practicalities
Goals and Responsibilities, Interim Analyses, Safety Versus Efficacy Data, Statistical Monitoring
Journal Articles, Nuts and Bolts of Journal Articles, Tables and Figures, Data Monitoring Reports for RCTs
Role of the Analyst, Statistical Analysis Plan, Analysis Population, Analysis Considerations, Types of Analyses
Simulations, Adaptive Designs, Bayesian Approaches
Course: Blended Learning Toolkit
Modules:
Introduction to Blended Learning Toolkit, The Connected University, Leading Digital Transformation, Intro to Panel Discussions, Panel Discussion Excerpt- MOOCs 2.0, Panel Discussion Excerpt - Working With Outside Partners, Panel Discussion Excerpt - The In-House Online Program Management (OPM), Digital Competencies, Class Design and Creation, Cases and Networked Learning, Intro - From Theory to Practice Films, Anant Agarwal: Post-Covid Teaching and Learning, Matthew Rascoff: MOOCs + Sharing Platforms, Anna Medri: The Equator Initiative, Module 1 Wrap Up
Intro - Class Design and Creations, Masterclass -"Overview of Tools", Active Learning and Blended Design, Backwards Design Part 1, Backwards Design Part 2, The Instructor/TA Partnership, Intro - From Theory to Practice, Justin Harding: Class Design and Creation, Nelson Baker: Online Master's Origins, Sally Berkowitz: Origins and Offerings, Nora Lewis: A Mission-Driven Strategy for Digital Education, Creating PowerPoints for Recorded Lectures, Setting Up Your DIY Office, Self-Recording With Panopto, Tutorial - Green Screen Filming, Tutorial - Green Screen Editing, Module 2 Wrap up
Course Websites - Intro, The Course Website in a Blended Class, Instructor/TA Team: Course Building and Management, Intro to Coursebuilder Class Template, Using Coursebuilder, Year to Year Course Updates, Advance Coursebuilder for Instructional Designers, From Theory to Practice Part 3 - Intro, Ben Nelson: New Platforms – Brightspace, John Baker - Brightspace, Armando Fox - UC Berkeley, Intro to Learning Platforms, New Platforms for Engagement, Module 3 Wrap Up
Module 4 Intro, Live Session Overview, Instructor/TA Team in Live Sessions, Active Learning on Zoom, Active Learning in a HyFlex Classroom, From Theory to Practice 4-  Intro, Michael Trucano: Sharing and Network Learning, Dhawal Shah: Class Central, Asaf Weiss: Campus IL, Kristin Lehner: PBS Learning Media, Intro to Digital Tools Panel, Nora Lewis: University of Pennsylvania, Module 4 Wrap Up
Course: IBM z/OS Rexx Programming
Modules:
Introducing REXX
REXX uses and syntax, Executing REXX execs, Comments and Continuation, Literals and Variables, Arithmetic Say and String Concatenation, Parse Trace and REXXTRY, Lab Familiarization: Part 1, Lab Familiarization: Part 2
REXX Instruction Order and Comparisons, REXX logic instructions, Loops in REXX
Introduction to functions and subroutines, Built-in functions, Subroutines
Writing good REXX execs, Signal traps and Return codes, Error recovery and Testing
Host commands - part one, Host commands - part two, Host commands - part three, Other host command environments
Compound variables, Uses for compound variables, The outtrap function, The data stack, TSOE REXX stack commands
The EXECIO command, Stream IO, Additional IO functions
Parse Instruction sources of input, Parsing templates, Absolute and relative column parsing templates, Matching variable parsing templates
Introducing the REXX compiler, Using the REXX compiler, REXX in batch, Using REXX to execute operator commands
System REXX introduction, SYSREXX usage
Course: Technical Diagnostics and Troubleshooting Techniques
Modules:
Course introduction: Technical Diagnostics and Troubleshooting Techniques, Introduction to troubleshooting, Happiness engineering, Troubleshooting scenario, Root cause analysis: Analyzing the problem, IDEAL framework, Applying logic and elimination methods, Exploring hardware components and their potential issues, Diagnosing hardware failures, Troubleshooting printer issues, Module summary: Problem-solving strategies
Exploring software components and their potential issues, Analysing logs for software troubleshooting, Troubleshooting BIOS, boot and firmware, Troubleshooting boot and startup issues, Troubleshooting user account and permission issues, Troubleshooting Windows activation and authentication issues, Comparing different operating systems, Cross-platform software and file management, Resetting the computer, Module summary: Troubleshooting operating systems
Using diagnostic tools and utilities for troubleshooting, Task Manager and Resource Monitor, Disk Management and Disk Cleanup, Troubleshooting network connectivity and configuration issues, Using network diagnostics tools, Wireless network troubleshooting, Troubleshooting complex and uncommon issues, Software corruption and installation issues, Troubleshooting Windows upgrade and installation errors, Module summary: Advanced troubleshooting techniques
Course wrap-up: Technical troubleshooting diagnostics, Introduction to Generative AI for IT Support Specialist, Understanding the importance of role in the prompts, Creating workplace educational content, Streamlining company research with Microsoft Copilot: A practical use case, Congratulations
Course: Check Point Jump Start - CloudGuard Workload Protection
Modules:
1-Program introduction
Lesson 1: Introduction to cybersecurity in the cloud, Lesson 2: Security challenges of cloud workloads, Lesson 3: CloudGuard Workload Protection
Lesson 1: Recap, Lesson 2: Runtime Protection, Lesson 3: Image Assurance, Lesson 4: Admission Control, Lesson 5: Threat Intelligence, Posture Management, Lesson 7: Deployment, Lesson 8: Deployment troubleshooting
Introduction to shifting security to the left, Lesson 2: Deployment
Serverless security, CloudGuard Serverless Security for AWS Lambda, Lesson 3: Deployment
Lesson 1: Introduction to application security and API protection, Lesson 2: The CloudGuard AppSec solution, Lesson 3: Architecture and deployment considerations, Lesson 4: Deployment process, Lesson 5: Deployment, Lesson 6: Setting up API protection, Lesson 7: Data and customization of AppSec policy
Program Summary
Course: Marketing Mix Implementation Capstone
Modules:
Welcome to the Marketing Mix Implementation Capstone
Brand and Product Decisions for Tesla Motors, How to develop and launch new products., Defining your brand model., The touchpoint concept., Idenifying your touchpoints., Prioritizing the key touchpoints.
Pricing strategies for Tesla Motors, Pricing Psychology, The pain of paying, Pricing Approaches, Optimal Price
Channel management and retailing for Tesla Motors, How to Design a Distribution Channel, Key Factors in Channel Management, What are the Different Types of Channel Arrangements?
Integrated marketing communication for Tesla Motors, Communications Objectives, What are the Latest Trends in Digital Marketing?, Consumer Decision Making Process, Determining Marketing Communications Budget, Alternative Marketing, Congratulations for completing this Capstone!
Course: 응용 전산 유체 역학
Modules:
강좌 소개, 강사 소개, 흐름 모델 소개, 테스트 케이스 및 컴퓨팅 그리드, 비점성 흐름 시뮬레이션, 층류 시뮬레이션, 난류 시뮬레이션, 계산 효율성: 층류, 계산 효율성: 난류, 다양한 흐름 체계 비교
디퓨저 및 노즐 소개, 디퓨저의 그리드 종속성 연구, 노즐의 그리드 종속성 연구, 디퓨저의 층류, 디퓨저의 난류, 노즐의 층류, 노즐의 난류, 형상 수정의 효과
덕트의 층류 압력 기반 2차 흐름, 파이프의 층류 압력 기반 2차 흐름, 파이프의 난류 압력 기반 2차 흐름, 예측 압력 기반 2차 흐름에 대한 난류 모델 효과, 덕트의 난류 기반 2차 흐름, 편자형 와류, 끝단 와류, 프로펠러 끝단 와류 예측
원형 실린더 주위의 흐름 소개, 원형 실린더 주위의 흐름(Re = 5), 원형 실린더 주위의 흐름(Re = 50), 원형 실린더 주위의 흐름(Re = 500), 원형 실린더 주위의 흐름(Re = 5,000), 원형 실린더 주위의 흐름(Re = 50,000), 원형 실린더 주위의 흐름(높은 레이놀즈수), 회전하는 원형 실린더 주위의 흐름
열 전달 예측 소개, 고체의 열전도, 캐비티의 자연 대류: 층류, 캐비티의 자연 대류: 난류, 유체 특성이 자연 대류에 미치는 영향, 비정상 성층이 있는 자연 대류, 강제 대류 열 전달 시뮬레이션, 복합 열 전달 시뮬레이션
Course: Diagnosing Health Behaviors for Global Health Programs
Modules:
Welcome and Introduction to Module 1, Dimensions of Health Behavior
Introduction to Module 2, Introduction—Types of Models/Local Explanatory Models, Explanatory Models: Learning From Local Perspectives, Malaria, River Blindness: Meanings and Interpretations, Theory-Based Models, Force Field Theory
Introduction to Module 3, Theories in Practice, Social Learning/Cognitive Theory, Theory of Reasoned Action, Comparisons
Introduction to Module 4, Process Models, Diffusion/Adopter Characteristics
Introduction to Module 5, The PRECEDE Framework, The PRECEDE Framework Continued
Course: Estrutura e Funcionamento do Mercado
Modules:
Forma de Organização Econômica, A Moeda e o Dinheiro, Tipos de Mercado, Intermediação Financeira, Cálculo do Spread, Princípios de Finanças
Estrutura Básica do Sistema Financeiro, Órgãos Normativos, Instituições Financeiras Captadoras de Depósito à Vista, Demais Instituições Financeiras, Outros Intermediários Financeiros, Outros Participantes do Mercado
Sistema de Transferência de Reserva, Câmara Interbancária de Pagamento, B3, Demais Operadores
Conceito de Benchmark e Índice de Inflação, Resumos de Índices de Inflação e Câmbio, Índice Flutuante - Selic, Índice Flutuante - DI e TR
Course: Lesson | Telephone Language
Modules:
Let's Learn Telephone Language