dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Digital Twins
Modules:
Course Introduction, What are Digital Twins and How Do They Work?, Digital Twins in Manufacturing, Insights from Ford - Digital Twins Applications at Ford, Insights from Tata Steel - Digital Twins Example Built on IoT Platform, Insights from Siemens - Digital Twin of Performance, Insights from Tata Steel - Digital Twins Example for Industrial Construction Project, Complexity and Scale of Digital Twins, Insights from Siemens - Executable Digital Twins, Insights from Siemens - Functional Digital Twins Example, Digital Twins and the Automotive Industry
Digital Twins Platform Ecosystem, Digital Twins Concept, Insights from Siemens - Evolving Digital Twins Ecosystems, What are the Business Advantages of Digital Twins?, Digital Twins Implementation, Insights from Ford - Digital Twins Implementation Guidelines, Digital Twins Challenges and Risks, Insights from Siemens - Digital Twins Challenges, Insights from Ford - Digital Twins Risks
What Does the Future Look Like for Digital Twins?, Insights from Siemens - Future of Digital Twins, Insights from Ford - Future of Digital Twins, Digital Thread (future trend), Digital Twins Summary
Course: Pensamiento científico
Modules:
¿Qué es la ciencia?, Edad antigua, Edad media, Edad moderna, Edad contemporanea
¿Qué es la verdad?, Verdad y contexto, Verdad y lenguaje, Verdad, sociedad y cultura, Verdad y lógica
Conceptos, Métodos centíficos, Paradigmas científicos, Del reduccionismo al holismo, Creatividad
Tomando mejores decisiones, ¿De qué nos puede servir la ciencia en la vida cotidiana?, La ciencia en mi vida
¿Cómo se propagan las ideas?, Moda, Obesidad y adicciones, Campañas electorales, Mercadotecnia, Pseudociencia
Los límites de la ciencia, Ética, Estética, Espiritualidad, Agradecimientos, Pensamiento científico en el contexto de la pandemia por COVID19
Course: 食品安全與風險分析（Food Safety＆Risk Analysis）
Modules:
食品安全與風險分析 - 課程介紹, 1.1.1.變動中的食安環境, 1.1.2.食品安全系統的開展, 1.2.何謂風險分析, 1.3.應用食品安全風險分析對國家政府的利益
課程大綱- 2.1. 風險評估的四個基本步驟, 2.2. 實例演練, 2.3. Risk 21 Matrix 二十一世紀風險矩陣, 2.4.1. 食藥署-健康風險評估資料專區
課程大綱 - 3.1. 風險管理簡介, 3.2. 風險管理的架構, 3.3. 食品安全風險管理, 3.4. 實例演練 以黃麴毒素為例
課程大綱 - 4.1.1.1. 何謂風險溝通, 4.1.2.1. 風險溝通的模式, 4.2.1.1. 風險溝通的策略
4.3.1.1. 緊急情況下的風險溝通, 食品安全與風險分析-課程回顧, 實例探討-核災區食品進口/ 戴奧辛雞蛋/ 萊克多巴胺豬肉進口, 幕後花絮
Course: ODS y sostenibilidad: una mirada desde los colegios
Modules:
Introducción al curso, Introducción al Módulo 1, La crisis planetaria, La crisis global es una crisis de educación
Introducción al Módulo 2, Repensar la escuela desde la sostenibilidad, Biodiseño, Sentido de lugar y aprendizaje experiencial y situado, Pensamiento sistémico, Educación para la ciudadanía mundial
Introducción al Módulo 3, Caja de herramientas pedagógicas  transformadoras, Caso 1, Caso 2, Caso 3, Caso 4
Introducción al Módulo 4, Cierre agradecimiento y reflexión
Course: Introduction to Good Clinical Practice
Modules:
Introduction to Good Clinical Practice, What's a clinical trial?, What are the phases of clinical trials?, Why participate in a clinical trial?, A sponsor's view of clinical trials, Drug research and development, Who conducts clinical trials and why?
Definitions of words used in clinical trials, Medical care vs clinical research, What are the risks and benefits of clinical trials?, The history of Good Clinical Practice and why it matters, What is informed consent?, Data integrity principles overview
How does clinical trial research make a difference?, What's it like to be part of a clinical trial, What is the process for Dr. Novel taking part in a clinical trial?, How do patients get involved in clinical trials?, Diversity in clinical trials, Why patients might be excluded from clinical trials, A patient's story
Course: Introduction to Domain Models
Modules:
Course Welcome, Meet Your Faculty: Dr. Kal Bugara, Introduction, Constructing a Domain Model, Lab Constructors
Introduction, Java Coding Patterns, The University Model
Introduction, User Tasks
Introduction, Orders and Order Items from Pricing Model, Sales Process Use Case
Course: Spanish Vocabulary: Cultural Experience
Modules:
Course Introduction, Module Introduction, Introduction to Vocabulario, Introduction to Gramática, Forming Questions, Indirect Object Pronouns, Expressing Likes and Dislikes, Making Requests Politely, More Irregular Verbs in the Present Tense, Useful Expressions, Perspectivas Introduction: El Mercado, Perspectivas: El Mercado, Perspectivas Summary: El Mercado, Module 1 Summary
Module 2 Introduction, Introduction to Vocabulario, Introduction to Gramática, Reflexive Pronouns to Express Daily Routines, Reflexive Pronouns to Express Changes of State, Weekly, Monthly, and Yearly Calendar Expressions, Two Ways of Expressing Events From the Recent Past, More Expressions with Tener and Dejar De, Perspectivas Introduction: Rutina Diaria, Perspectivas: Rutina Diaria, Perspectivas Summary: Rutina Diaria, Module 2 Summary
Module 3 Introduction, Introduction to Vocabulario, Introduction to Gramática, The Future: Ir + a + Infinitive, Direct Object Pronouns, Indirect and Direct Object Pronouns Together, The Passive Voice and Impersonal Subjects, More Useful Expressions, Perspectivas Introduction: La Música, Perspectivas: La Música, Perspectivas Summary: La Música, Module 3 Summary, Course Summary
Course: Leveraging Technology to Achieve Results
Modules:
Introduction To Course 6
Enterprise Resource Planning
Procurement-to-Pay
Digitalization & Other Enabling Technologies
.pdf file for the student of the Course 6 Lectures
Quiz for Course 6 Leveraging Technology True/False
Course: The DMAIC Framework - Define and Measure Phase
Modules:
Course introduction, Project identification and selection, Process components, boundaries, and benchmarking concept, SIPOC diagram, Customer identification and VoC data gathering, VoC to CTQ factors and Kano analysis, Defining project scope: Methods, charter, and steps, Defining project scope and key metrics
Work breakdown structure (WBS) and Gantt charts, CPM and PERT essentials, Project documentation and risk analysis, Management and planning tools, SWOT analysis and decision matrix, Quality metrics and COQ, Team evolution and management of roles and responsibilities, Overview: Team and decision-making tools
Process analysis, documentation, and flowchart, Probability principles and the central limit theorem, Statistical distributions and its types, Chi-square, student’s T-distribution, and F-distributions, Data types and data collection plan (DCP), Data sampling methods, Operational definition worksheet (ODW), Measures of central tendency and dispersion, Graphical methods
Measurement System Analysis (MSA) and its properties, Attribute agreement analysis (AAA), Process and specification limit, Process capability and performance indices
Course wrap-up
Course: Doing Economics: Measuring Climate Change
Modules:
Introduction to climate change, Predicted and potential effects of climate change on lifestyles and the economy, Measuring temperature changes over long time periods, Excel: Plot a line chart of global temperatures from 1800-present, Excel: Visualising the extent of climate change, Additional reading for Week 1
Climate change: Effects on extreme weather events and temperature variability, Excel: Make frequency tables to summarise global temperatures in the decades 1950-2020, Excel: Make column charts to compare temperature distributions, Excel: Calculate percentiles of a distribution, Excel: Calculate the mean and variance of global temperatures, How can we address the effects of extreme weather events?, Additional reading for Week 2
How carbon emissions in the atmosphere are measured, Excel: Make scatterplots and calculate the correlation coefficient, Correlation vs causation, How can social scientists identify causal relationships between variables?, Additional reading for Week 3
How much do people value the environment?, Excel: Green growth accounting, The challenge of assessing the consequences of climate change on future generations, Environmental policies and environmental quality around the world, Excel: Environmental impacts of food, Conclusion, Additional reading for Week 4
Course: Introducción a la Contabilidad Financiera
Modules:
1.1.1: Resumen de Información Financiera, 1.1.2: Ejemplo de Información Financiera, 1.2.1: Ecuación de la Hoja de Balance, 1.2.2: Activos, Pasivos y Capital Contable, 1.3.1: Contabilidad de Débito y Crédito I, 1.3.2: Contabilidad de Débito y Crédito II, 1.4.1: Caso Relic Spotter, Parte 1, 1.4.2: Caso Relic Spotter, Parte 2, 1.5: Compañía 3M: Recorrido de un Informe Anual
2.1: Ingresos y Gastos, 2.2: Caso Relic Spotter, Parte 3, 2.3.1: Ajuste de Entradas I, 2.3.2: Ajuste de Entradas II, 2.4.1: Caso Relic Spotter, Parte 4a, 2.4.2: Caso Relic Spotter, Parte 4b, 2.5: Estados Financieros y Entradas de Cierre, 2.6: Compañía 3M: Estado de Resultados y Hoja de Balance
3.1.1: Manejo, Inversión y Financiamiento de Flujos de Efectivo, 3.1.2: Caso Relic Spotters, Parte 5, 3.2.1: Estado de Flujos de Efectivo, 3.2.2: Caso Relic Spotters, Parte 6, 3.3.1: Mas Temas de Estados de Flujo de Efectivo y EBITDA, 3.3.2: Flujo de Efectivo vs. Ejemplos de EBITDA, INSERT ES .SRT 3.4: Compañía 3M: Flujos de Efectivo
4.1: Panorama general del Análisis de Índices Financieros, 4.2: Caso Plainview Technology, Parte 1, 4.3: Caso Plainview Technology, Parte 2, 4.4: Caso Plainview Technology, Parte 3, 4.5: Compañía 3M: Índices Financieros
Course: Anatomy of the Chest, Neck, Abdomen, and Pelvis
Modules:
Introduction to anatomy, Surface Anatomy (Step 1-10), Abdomen Surface Anatomy (Step 11-15), Chest Surface Anatomy (Step 16-22), Neck Surface Anatomy (Step 23-26), Physical Examination of the Chest, Physical Examination of the Neck, Physical Examination of the Abdomen
Review Recommendation, The Thorax (Chest Wall) Lecture, Lungs Lecture, Bronchoscopy, Pleuroscopy, Video: Chest Wall, Chest Plate Removal (Step 1-5), Lung Removal (Step 6-8), Right Lung Dissection (Step 9-10)
Heart, Exposure of Heart (Step 1-5), Coronary Vessels (Step 6-8), Heart Removal (Step 9), Bisecting the Heart (Step 10-11), In Situ Dissection (Step 12), Electrical Conduction System of the Heart (Source: National Heart, Lung, and Blood Institute; National Institutes of Health; U.S. Department of Health and Human Services)
Mediastinum and Great Vessels, The Cervicothoracic Junction (Step 1-4), Apex of Pleural Cavity (Step 5), Great Vessels (Step 6-8), Posterior Mediastinum and Diaphragm (Step 9-10)
Neck Surface Anatomy (REVIEW), Clinical Examination of the Neck, Neck Part I (Step 1-3), Neck Part II (Step 4-8), Carotid Endarterectomy (Step 9)
Abdomen, Review Recommendation, McBurney’s Incision (Step 1-2), Abdominal Wall (Step 3-5), Abdomen Basics (Step 6-12)
Upper Endoscopy, Introduction: Duodenal and Polyp Removal, Introduction: Laparoscopic Cholecystectomy, Upper Abdomen (Step 1-5), Duodenum and Pancreas (Step 6-10), Whipple Procedure
Introduction: Colonoscopy, Introduction: Colonoscopy - Ileum, Right Retroperitoneum (Step 1-4), Left Retroperitoneum (Step 5-7), Mesenteric Vessels (Step 8-12)
Introduction: Pelvis, Introduction: Male and Female Perineum, Introduction: Skeletal Pelvis, Introduction: Bladder Drainage Devices, Female Perineum (Step 1-2), Female Pelvis (Step 3-7), Female Sagittal Pelvis (Step 8-10), Pelvic Vessels and Nerves (11-13), Female Cystoscopy, Inguinal Ligament and Testis (Step 1-4), Male Perineum (Step 5-9), Male Pelvis (Step 10-12), Male Sagittal Pelvis (Step 13-17), Male Cystoscopy, New England Journal of Medicine – Pelvic Examination
Course: Blockchain Security  Advanced Protection
Modules:
Course Introduction, Introduction to DeFi, Introduction to Access Control, Access Control Vulnerability, Access Control Vulnerability Example, Case Study:  Zenon Network, Mitigating Access Control, Introduction to Control and Governance Issues, Control and Governance Issue Example, Case Study: bZx, Mitigating Control and Governance Issues, Introduction to Frontend Vulnerabilities, Case Study:  BadgerDAO, Mitigating Frontend Vulnerabilities, Introduction to Price Manipulation, Case Study: Cream Finance, Price Manipulation Code Example, Mitigating Price Manipulation Vulnerabilities, DeFi Recap
Introduction to Secure Smart Contract Development, Style Guide and Resources, Vulnerability Tracking, Secure Smart Contract Summary, Smart Contract Testing Tools, Introduction to Smart Contract Auditing, Limits to Smart Contract Auditing, What to Expect in a SC Audit, Key Components of Smart Contract Audits
Developing Secure Blockchain Solutions, Assessing Blockchain Usecases, Balancing Risks and Benefits, Distribution System, Immutable Ledger, Transparent Digital Ledger, Smart Contracts, Summary, Introduction to Blockchain Compliance, Blockchain and Regulatory Compliance, Blockchain Compliance: Data Protection
Introduction to Key Management, Mathematically Hard Problems, Hard Asymmetric Cryptography, Benefits of Asymmetric Cryptography, Introduction to Account Addressing, Digital Signatures Part 1, Digital Signatures Part 2, Data Encryption, Asymmetric Cryptography Summary
Introduction to Key Generation, Generating Keys, Hierarchical Deterministic Key Generation, Best Practices and Summary
Introduction to Key Management and Storage, Wallets and Mnemonic Seed Phrases, Types of Blockchain Wallets, Paper Wallets, Brain Wallets, Software Wallets, Hardware Wallets, Wallet Best Practices
Introduction to Risks of Poor Private Key Security, Weak Key Generation / Exposed Mnemonic Keys, Non-Existent Insecure Backup, Third-party Key Storage, Phishing Insecure Hardware Wallets, Signing Unverified Transactions, Creating DeFi Approvals Summary, Course Recap
Course: General Academic English
Modules:
1. Introduction, 2. Listening, 3. Group Discussion, 4. Topic and Text, 5. Vocabulary, 6. Academic Writing, 7. Skills Power Station, 8. Student Research Project, 9. Summary
1. Introduction, 2. Listening, 3. Group Discussion, 4. Topic and Text, 5. Vocabulary, 6. Academic Writing, 7. Skills Power Station, 8. Student Research Project, 9. Summary
1. Introduction, 2. Listening, 3. Group Discussion, 4. Topic and Text 1, 4. Topic and Text 2, 5. Vocabulary, 6. Academic Writing, 7. Skills Power Station, 8. Student Research Project, 9. Summary
1. Introduction, 2. Listening, 3. Group Discussion, 4. Topic and Text 1, 4. Topic and Text 2, 5. Vocabulary, 6. Academic Writing, 7. Skills Power Station, 8. Student Research Project, 9. Summary
1. Introduction, 2. Listening, 3. Group Discussion, 4. Topic and Text 1, 4. Topic and Text 2, 5. Vocabulary, 6. Academic Writing, 7. Skills Power Station, 8. Student Research Project, 9. Summary
1. Introduction, 2. Listening, 3. Group Discussion, 4. Topic and Text 1, 4. Topic and Text 2, 5. Vocabulary, 6. Academic Writing, 7. Skills Power Station, 8. Student Research Project, 9. Summary
Vocabulary and Structure 1, Vocabulary and Structure 2
Course: What Can AI Do for Marketing?
Modules:
Specialization Introduction: AI in Marketing, AI in Marketing - Part 1, AI in Marketing - Part 2
Mapping the Customer Journey - Part 1, Mapping the Customer Journey - Part 2
REPLACE! Managing the Customer Journey - Part 1, Managing the Customer Journey - Part 2
Assessing Impact - Part 1, Assessing Impact - Part 2
Opportunities for AI in Marketing - Part 1, Opportunties for AI in Marketing - Part 2
Bias in the Machine - Part 1, Bias in the Machine - Part 2, Bias in the Machine - Part 3
Course: Usable Security
Modules:
Course Intro, What is Human Computer Interaction?, Usability, Tasks 3, Chunking Information, Mental Models
Intro to Design, Design Methodologies, Case Study: SSL Warnings - example user, Case Study: SSL Warnings - paper discussion, Interview: SSL Warnings
Qualitative Evaluation, Running Controlled Experiments, Usability Studies, A/B Testing, Case Study: Phishing Email - paper discussion, Interview: Phishing
Intro to Usable Security Guidelines, Authority Guidelines, Authorization and Communication Guidelines, Interface Guidelines for Usable Security, Case Study: Phishing Warnings
Usable Authentication and Passwords, Two-Factor Authentication, Biometric Authentication, Gesture-based Authentication, Case Study: Smudge Attacks, Interview: Dr. Adam Aviv
Usable Privacy Basics, Privacy Policies and User Understanding, Informed Consent for Privacy, 5 Pitfalls of Privacy, Inferring Personal Data and Policy
Final Exam
Course: Power BI for Data Science and Analytics
Modules:
Course Introductory Video, Data Science and Analytics, Era of Data Science, Case Study - Fintech, Case study - HealthCare, Power BI in Data Analytics, Features in Power BI for Data Science, Installation of MS SQL Server, SQL Server Interface - Object Explorer, SQL Server Interface - Basic Scripts, Working with Power BI, Installation of Power BI Desktop and Service, Installing of ALM Toolkit, ALM Toolkit - Operations, Introduction to Time Intelligence Functions, Time Intelligence Functions - Working, AI in Power BI - NLQ and Smart Discovery, AI in Power BI - Anomaly Detection, Cognitive Services in Power BI, Sentiment Analysis, Key Phrase Extraction, Language Detection, Usage Metrics and Q&A in Power BI, Introduction to Dynamic Lines, Implementation of Dynamic Lines, Dynamic lines for Power BI Visuals, Interactive Reporting using Power BI, Summary of Power BI for Data Analytics
Getting the data ready, Different Methods of Dataflows Creation, Data Preparation, Real Time data ingestion vs Batch processing, Dataflow Calculation Engine, Data Models, Setting up Data Models for AI, Data Modelling Disciplines to Support AI, Binary Prediction - Setting up the Model, Binary Prediction - Execution, Introduction to Python, Basics of Python, Demonstration of Python, Installing Python, Integrating Python with Power BI, Creating Visuals in Power BI using Python, Binary Prediction, Classification, Regression, Summary: Dataflows and AI Analytics
Text Analysis - Detect Language, Text Analysis - Key Phrase Extraction, Text - Sentiment Analysis, Report Generation, Image Analysis, Image Recognition, Scorecard, Key Features of Scorecard, Creation of Scorecard, Demonstrataion of Scorecard, Gateway, Installing Gateway, M - Functions, Deep Dive in M - Functions, Summary of Advanced Cognitive Features
Course Summary of Power BI for Data Science and Analytics
Course: Partager des données grâce à l'art de la visualisation
Modules:
Introduction à la communication de vos données, Kevin : le pouvoir est dans les visualisations des données, Pourquoi la visualisation des données est importante, Relier les images aux données, Une recette pour une visualisation puissante, Visualisations dynamiques, Éléments de l'art, Incidence de la visualisation des données, Design thinking et visualisations, Titres, sous-titres et étiquettes, Visualisations accessibles, Andrew : rendre les données accessibles
Visualisations des données avec Tableau, Tableau Public et autres outils en ligne, Découvrir Tableau, Créer une visualisation des données dans Tableau, Le bon, le mauvais et le laid, Faire preuve de créativité, Lier des données dans Tableau
Raconter une histoire avec des données, Donner vie aux idées, S'adresser à votre public, Carolyn : Journalisme de données, Bases des tableaux de bord Tableau, Des filtres aux graphiques, Conseils pour une présentation convaincante, Partager un récit, Sundas : Comment gérer le syndrome de l'imposteur
Rassembler le tout, Présenter avec un cadre, Intégrer des données dans votre présentation, Brittany : compétences de présentation pour les nouveaux analystes de données, Connor : Exemple d'une présentation désordonnée des données, Connor : Bon exemple d’une présentation de données, Conseils de présentation éprouvés, Présentez comme un pro, Anticipez la question, Traitement des objections, Meilleures pratiques de Q&R, Connor : Devenir un traducteur de données expert, Félicitations !
Course: Wilderness First Aid - Traumatic Emergencies
Modules:
Introduction to Trauma, Blunt vs. Penetrating Trauma, Shock
Chest Trauma, Additional Chest Complications and Abdominal Trauma, Head Trauma, Extremity Trauma - Musculoskeletal Injuries Overview
Splinting and Dislocations, Lower Arm Splints, Buddy Sling, Unstable Arm Full Scenario, Ankle Splints, Knee Splints, Pelvic Binding
Soft Tissues Injuries and Wound Management, Pressure Dressing, Additional Pressure Dressing and Tourniquets, Wound Cleaning and Dressings, Wound Cleaning, Types of Wounds and Treatment, Burns, Burns and Blisters
Course: Creating a Healthy Culture: Addressing Workplace Bullying
Modules:
Welcome and Meet your Instructor, Defining Workplace Bullying, Defining Workplace Harassment, Additional Forms of Misconduct, Why People Engage in Bullying, Psychological and Emotional Impacts on Individuals, Impact on the Work Environment and the Business, Effects of a Positive Workplace Culture (The ROI on Healthy Behavior), Leveraging your Performance Management System, Encourage and Engage in Respectful Communication, Proactively Cultivate a Positive Work Culture, Policies and Training Programs, Taking Complaints of Bullying and Harassment, Being an Upstander, Reporting Harassment or Bullying to HR, Your Role in Building a Culture of Respect, Conclusion
Course: Marketing Analytics with Meta
Modules:
Introduction to the Program, Introduction to Marketing Analytics with Meta, Introduction to Anke Audenaert, Careers in Marketing and Marketing Analytics, Introduction: Fundamentals of Facebook Ads Manager, The Facebook Ad Auction, Campaign Structure, Introduction: Planning and Scheduling Ads with Facebook Ads Manager, Selecting a Campaign Objective, Determining a Campaign Budget, Setting a Campaign Budget in Ads Manager, Campaign Bid Strategies, Selecting Your Audience, Selecting Placement, Optimization and Delivery, Introduction: Creating an Ad in Ads Manager, Create Your Ad, Weekly Review: Fundamentals of Facebook Ads Manager
Introduction: Analyzing Campaign Results, Ads Manager Reporting Overview, Customizing Your Ads Manager Reports, Introduction: Evaluating Results Against Your Goal, How the Campaign Objective Determines the Key Metrics, The Attribution Setting, Analyze Your Campaign Results, Weekly Review: Analyzing Campaign Results
Introduction: Running Facebook Experiments, Conversion Lift Tests, Conversion Lift Tests on Facebook, Evaluating the Results of a Conversion Lift Test, Randomization and Intention to Treat, Introduction: Brand Lift Tests, Brand Lift Tests on Facebook, Evaluating the Results of a Brand Lift Test, Weekly Review: Running Facebook Experiments
Introduction: A/B Tests, What Are A/B tests and What Are They Used For?, Setting up an A/B Test with Facebook, Evaluating the Results of an A/B Test, Features of A/B Testing on Facebook, Introduction: Marketing Mix Modeling, Marketing Mix Modeling Overview, Facebook and Marketing Mix Modeling, New Developments in Marketing Mix Modeling, Weekly Review: Optimizing Your Marketing Mix
Introduction: Marketing Analytics in Action, Assess your Goals and KPIs, Assess Your Data, Formulate a Hypothesis, Determine a Measurement Approach, Recommend a Test Method, Perform an Analysis, Generate Insights, Make Data-Driven Recommendations, Present Results, Communicating in a Presentation
Course: Product Management: Building AI-Powered Products
Modules:
Course Introduction, Role of the AI Product Manager, The Value Proposition of AI in Product Management, A Day in the Life of an AI Product Manager, Building the AI “Dream Team”, Communicating AI to Stakeholders, Challenges and Opportunities for AI Product Managers, The Return on Investment of AI, The AI Process, Why AI Product Development Projects Fail, Case Study: The “Frownies” Fiasco
Stages of AI Product Development, AI Integration in Product Management Lifecycle, Key Measures of AI Product Management Success, AI's Impact Across Industries, AI Use Cases, Commercializing AI Products, Case Study: "My Toothcase" Success, AI Current Trends and Future Insights
Congratulations and Next Steps, Thanks from the Course Team
Course: Последовательные модели
Modules:
Для чего используются последовательные модели, Нотация, Модель рекуррентной нейронной сети, Метод обратного распространения ошибки во времени, Различные виды РНН, Языковая модель и генерация последовательности, Выборка новых последовательностей, Выборка новых последовательностей, Управляемый рекуррентный блок (GRU, УРБ), Долгая краткосрочная память (LSTM, ДКП), Двунаправленная рекуррентная нейронная сеть, Глубокие нейронные сети
Представление слов, Использование векторного представления слов, Свойства векторов слов, Матрица встраивания, Изучение векторного представления слов, Word2Vec, Отрицательная выборка, Векторы слов GloVe, Определение тональности текста, Устранение предвзятости в векторном представлении слов
Базовые модели, Выбор наиболее вероятного предложения, Лучевой поиск, Повышение эффективности лучевого поиска, Анализ ошибок в лучевом поиске, Метрика BLEU (факультативно), Общие сведения о механизме внимания, Механизм внимания, Распознавание речи, Распознавание слов-триггеров, Заключение и благодарности
Course: Traitement d'images : analyse fréquentielle et multi-échelle
Modules:
Transformée de Fourier 2D, Vidéo Codecast : Transformée de Fourier 2D, Vidéo Codecast : Convolution, Spectre d'amplitude, Vidéo Codecast : TF inverse, Filtrage, Vidéo Codecast : Meshgrid
Modèles de dégradation, Vidéo Codecast : psf2otf, Vidéo Codecast : Image synthétique, Filtre de Wiener, Vidéo Codecast : Filtre de Wiener, Filtres itératifs
Introduction au JPEG, Définition mathématique de la DCT et la DCTI, Vidéo Codecast : DCT, Vidéo Codecast : Zigzag
La décomposition en pyramide gaussienne et laplacienne, Vidéo Codecast : Pyramide laplacienne et gaussienne, Transformée en ondelettes, Vidéo Codecast : Ondelette 1D_Haar, Video Codecast : Transformée 2D en ondelettes, Interview ingénieur développeur, Interview ingénieur en biologie
Course: Introduction to Probability and Data with R
Modules:
Introduction to Statistics with R
Introduction, Data Basics, Observational Studies & Experiments, Sampling and sources of bias, Experimental Design, (Spotlight) Random Sample Assignment
About Lab Choices (Read Before Selection), Week 1 Lab Instructions (RStudio)
Visualizing Numerical Data, Measures of Center, Measures of Spread, Robust Statistics, Transforming Data, Exploring Categorical Variables, Introduction to Inference
Week 2 Lab Instructions (RStudio), Week 2 Lab Instructions (RStudio Cloud)
Introduction, Disjoint Events + General Addition Rule, Independence, Probability Examples, (Spotlight) Disjoint vs. Independent, Conditional Probability, Probability Trees, Bayesian Inference, Examples of Bayesian Inference
Week 3 Lab Instructions (RStudio), Week 3 Lab Instructions (RStudio Cloud)
Normal Distribution, Evaluating the Normal Distribution, Working with the Normal Distribution, Binomial Distribution, Normal Approximation to Binomial, Working with the Binomial Distribution
Course: Adjectives and Adjective Clauses
Modules:
Meet the Teachers, Course Introduction
Module Introduction, Adjectives Introduction Lecture, Adjective Order Lecture, Participles Lecture, Comparatives and Superlatives Lecture, More Comparatives Lecture, More Superlatives Lecture
Module Introduction, Adjective Clauses Overview Lecture, Adjective Clauses with Subject Pronouns lecture, Adjective Clauses with Object Pronouns Lecture, Adjective Clauses with a Possessive Pronouns Lecture
Module Introduction, Adjective Clauses with Prepositions, Adjective Clauses with "Where" Lecture, Adjective Clauses with "When" Lecture
Module Introduction, Reduced Adjective Clauses lecture, Appositives
Course: إدارة العملاء المحتملين باستخدام HubSpot
Modules:
مقدمة إلى البرنامج, فيديو مقدمة الدورة التدريبية, وظائف في المبيعات وإدارة العلاقات مع العملاء, مقدمة أسبوعية: مقدمة حول إدارة العملاء المحتملين, لماذا تعتبر إدارة العملاء المحتملين مهمة؟, ستة أسباب رئيسية تشجع مؤسستك على الاستثمار في إدارة العملاء المحتملين, أساسيات إدارة العملاء المحتملين, كيف تبدو إدارة العملاء المحتملين؟, مراجعة عملية إدارة العملاء المحتملين, تحديد مراحل انتقال العملاء المحتملين, تحديد الأهداف من خلال اتفاقية مستوى الخدمة (SLA), تخطيط خريطة لعملية إدارة العملاء المحتملين, تحسين إستراتيجية إدارة العملاء المحتملين من خلال اجتماعات دمج فريق المبيعات والتسويق, مراجعة أسبوعية: مقدمة حول إدارة العملاء المحتملين
مقدمة أسبوعية: تقسيم العملاء المحتملين وتأهيلهم وتعزيز علاقاتهم, كيف يمكن لفريق التسويق تنظيم وتقسيم العملاء المحتملين, كيفية تقسيم العملاء المحتملين باستخدام القوائم وطرق العرض المحفوظة في HubSpot, كيف يمكن لفريق لمبيعات تأهيل العملاء المتوقعين, كيفية تأهيل العملاء المتوقعين باستخدام طرق العرض والقوائم المحفوظة في HubSpot, أتمتة وتوسيع نطاق الوصول إلى العملاء المحتملين في مؤسستك باستخدام HubSpot, أساسيات تعزيز علاقات العملاء المحتملين, إنشاء حملة تعزيز علاقات العملاء المحتملين باستخدام HubSpot, كيفية إنشاء دفق لتعزيز العلاقات مع العملاء المحتملين في HubSpot, مراجعة أسبوعية: تقسيم العملاء المحتملين وتأهيلهم وتعزيز العلاقات في HubSpot
مقدمة أسبوعية: تقييم العملاء المحتملين وتوجيههم, تحديد أولويات العملاء المحتملين من خلال تقييم العملاء المحتملين, كيفية إعداد تقييم العملاء المحتملين في HubSpot, إدارة العملاء المحتملين المؤهلين للمبيعات من خلال توجيه العملاء المحتملين, كيفية إعداد توجيه العملاء المحتملين في HubSpot, مراجعة أسبوعية: تقييم العملاء المحتملين وتوجيههم في HubSpot
مقدمة أسبوعية: قياس نجاح إدارة العملاء المحتملين, تحديد مقاييس نجاح إدارة العملاء المحتملين, كيفية الإبلاغ عن نتائج إدارة العملاء المحتملين, كيفية إنشاء تقارير إدارة العملاء المحتملين في HubSpot, كيفية إنشاء لوحة معلومات لإدارة العملاء المحتملين في HubSpot, مراجعة أسبوعية: قياس نجاح إدارة العملاء المحتملين
مقدمة أسبوعية: مشروع إدارة العملاء المحتملين باستخدام HubSpot:, ملخص المشروع, تهانينا! لقد أكملت دورة إدارة العملاء المحتملين باستخدام HubSpot!
Course: Revolutionary Ideas: Utility, Justice, Equality, Freedom
Modules:
Introduction to Part 1, Lecture 1.1: Political Institutions & Starting Positions, Lecture 1.2: Peace & Problem Solving, Lecture 1.3: Choice Points in Designing a State
Lecture 2.0: Introduction to Happiness & Utility, Lecture 2.1.0: Happiness, Thomas Hobbes & the State of Nature, Lecture 2.1.1: Happiness, Thomas Hobbes & Escaping the State of Nature, Lecture 2.2: Happiness, Welfare & the Scope of the State, Lecture 2.3.0: Happiness, John Stuart Mill & the Harm Principle, Lecture 2.3.1: Happiness & the Harm Principle, Lecture 2.4: A More Constructive Role for the State in Promoting Happiness, Lecture 2.5: Promoting Happiness: Collective Action Problems, Public Goods, and Free Riding, Lecture 2.6.0: Promoting Happiness: The Epistemic Power of the State, Lecture 2.6.1: Promoting Happiness: The Epistemic Power of Deliberation, Lecture 2.6.2: Promoting Happiness: The Epistemic Power of Large Numbers, Lecture 2.7: Promoting Happiness: Law & Development
Lecture 3.0: Introduction, Lecture 3.1.0: Distributive Justice & Utilitarianism, Lecture 3.1.1: Distributive Justice: Problems with Utilitarianism, Lecture 3.2.0: Justice: The Capabilities Approach, Lecture 3.2.1: Justice: The Ten Central Human Capabilities, Lecture 3.3: Justice: Nozick's Entitlement Theory, Lecture 3.4.0: Justice: Rawls's Theory of Justice, Lecture 3.4.1: Justice: Rawls & The Original Position, Lecture 3.4.2: Justice: Rawls & The Two Principles of Justice
Lecture 4.0: Equality: An Introduction, Lecture 4.1.0: Equality as a Constraint: Legal & Political Equality, Lecture 4.1.1: Equality as a Constraint: Re-Examining Political Equality, Lecture 4.2: Equality as an Objective: Introduction to Egalitarianism, Lecture 4.3: Equality: Connections Between Material & Political Equality
Lecture 5.0: Freedom & Autonomy: An Introduction, Lecture 5.1.0: Freedom & Autonomy: Positive & Negative Freedom, Lecture 5.1.1: Positive & Negative Freedom & The Role of the State, Lecture 5.2: Freedom & Autonomy: Individual & Community Freedom, Concluding Part I, Introducing Part II, Roundtable Discussion: Question 1, Roundtable Discussion: Question 2, Roundtable Discussion: Question 3, Roundtable Discussion: Question 4, Reflections on Revolutionary Ideas: A Question & Answer Session with Prof. Guerrero
Course: Cost Accounting: Decision Making
Modules:
Elementary cost functions, Combinations of elementary cost functions, Cost function, cost drivers, and the time horizon, Simplifying cost functions and the relevant range, Analytical methods, Statistical methods, Documenting cost forecasts
Objectives of cost-volume profit analysis, CVPA for a single product, Considering target profits in CVPA, Cost-volume profit analyses for multiple products, Cost-volume profit analyses with a constant sales mix, Assumptions of cost-volume profit analysis, Sensitivity analysis, Margin of safety percentage, Insourcing versus outsourcing
The decision making process, Planning objects, horizon, objectives and constraints, Quantitative and qualitative information, Characteristics of decisions under uncertainty, Requirements for information from accounting, Sunk costs, opportunity costs and operative decisions, The effects of using full-cost information, Determining the optimal product mix, Price setter vs. price taker, Lower price limits for negotiations and tenders, Long-term pricing decisions
Course: Comprendre la France, Advanced French Language & Culture
Modules:
Introduction générale du MOOC, intro semaine 1, Le Paris d’hier et d’aujourd’hui, La Tour Eiffel, Vidéo optionnelle: Bande-annonce du film "Eiffel" (2020) de Martin Bourboulon, La ville, Les verbes pronominaux et non pronominaux, Histoire de Paris, Paris vu par .. . des citoyens du monde, La reconstruction de Notre-Dame, Le Musée Carnavalet- Histoire de Paris, Paris et ses monuments vus par les Inconnus
intro semaine 2, Jeanne d'Arc, entretien avec Valérie Toureille, Émile Zola et l'affaire Dreyfus, Vidéo optionnelle: "L'affaire Dreyfus" (1899) de Georges Méliès, Engagement & Intellectuel, La place de l’adjectif, Le discours sur le colonialisme d'Aimé Césaire, La cinéaste Agnès Varda, Vidéo complémentaire: bande-annonce de "Cléo de cinq à sept" (1862) d'Agnès Varda, JR : Le "peuple" au Panthéon?, Le Panthéon, Humour de la semaine : la BD, "La Planète des Sages", Vidéo complémentaire: Joséphine Baker, artiste et femme engagée (TV5 Monde, 2021),
intro semaine 3, La radioactivité et Marie Curie, Les sciences et techniques futuristes: "Paris au XXe siècle" de Jules Verne, Les sciences et techniques futuristes: "Le vingtième siècle" d'Albert Robida, Origine du vocabulaire scientifique et technique, Arguments et outils logiques, La fée éléctricité de Raoul Dufy, L'écologie, autour du film "Demain", Controverses d'hier et d'aujourd'hui sur la vaccination, Le Mus'X - Musée de l'Ecole polytechnique, Molière critique la médecine et les médecins dans "Le malade imaginaire" (1673)
intro semaine 4, Les institutions françaises, "Les Lettres persanes" de Montesquieu, Les euphémismes politiques et les expressions politiques, Les prépositions et locutions prépositionnelles, Les démocraties sont-elles en danger?, Les grands débats présidentiels à la télévision, Correction des questions d'expression orale, Mai 68 et la question de l'engagement, Le Louvre, Quai d'Orsay : de la BD au film
intro semaine 5, La parité aujourd'hui, La question des inégalités, La malbouffe, La phrase complexe et les relatifs, Autour de l'écologie : les œuvres de Saype, Débats autour de l'"Art" contemporain, Que faut-il manger au XXIe siècle?, L'Assemblée nationale, La cité internationale de la gastronomie, Micro-trottoir et chronique: "Et vous, vous faites quoi pour la planète?"
intro semaine 6, Les francophonies, La construction européenne, Le 17e siècle, Le subjonctif, Les années folles: des artistes du monde entier se retrouvent à Paris, Senghor, un poète francophone, Le tourisme, Le musée Lumière et la naissance du cinéma, Deux pionniers du 7e art: Alice Guy et Georges Méliès, La langue française vue par Sebastian Marx: "Les mots de passe"
Course: El arte de negociar
Modules:
1.1 Introducción a la negociación, 1.2 Qué es negociar
2.1 Factores que inciden en la marcha de una negociación, 2.2 Estrategia de negociación, 2.3 Valor, equidad y resultados positivos
3.1 Rasgos de un negociador, 3.2 Conductas determinantes, 3.3 Comportamiento de los buenos negociadores
4.1 Hacer una oferta, 4.2 El acuerdo marco, 4.3 La mejor alternativa a un acuerdo negociado, 4.4 Preparación de opciones para una negociación, 4.5 Buenas prácticas de negociación
Course: Marketing Management Essentials: Product and Branding
Modules:
What is the Product Lifecycle?, The Brand Model: Essence, Values, Personality
Course: Launching into Machine Learning - 한국어
Modules:
과정 소개
소개, 데이터 품질 개선, Google Cloud Platform 및 Qwiklabs 시작하기, 실습 소개: 데이터 품질 개선, 실습 데모: 데이터 품질 개선, 탐색적 데이터 분석이란?, 머신러닝에서 EDA가 활용되는 방식, 데이터 분석 및 시각화, 실습 소개: Python 및 BigQuery를 사용한 데이터 탐색
소개, 지도 학습, 선형 회귀, 실습 소개: 선형 회귀 소개, 실습 데모: 선형 회귀 소개, 로지스틱 회귀
소개, 머신러닝과 딥 러닝 비교, 자동화된 머신러닝의 개념, AutoML 회귀 모델, AutoML 모델 평가
소개, BigQuery ML을 사용한 ML 모델 학습, BigQuery 머신러닝 지원 모델, 실습 소개: BigQuery ML을 사용하여 펭귄 체중 예측(BigQuery ML 및 Explainable AI), 실습 데모: BigQuery ML을 사용하여 펭귄 체중 예측(BigQuery ML 및 Explainable AI), BigQuery ML 초매개변수 조정, BigQuery ML로 추천 시스템을 빌드 및 배포하는 방법
소개, ML 모델 정의, 과정 데이터 세트 소개, 손실 함수 소개, 경사하강법, 손실 곡선 문제 해결, ML 모델의 함정, 강의 실습:  TensorFlow Playground 소개, 강의 실습:  TensorFlow Playground - 고급, 강의 실습: 신경망으로 연습하기, 성능 측정항목, 혼동 행렬
소개, 일반화 및 ML 모델, 모델 학습을 중단해야 하는 경우, BigQuery에서 반복 가능한 샘플 만들기, 데모: BigQuery에서 데이터 세트 분할하기
요약, 리소스: 모든 퀴즈 문항, 리소스: 모든 읽기 자료, 리소스: 모든 슬라이드 (English only)
Course: Transistor - Field Effect Transistor and Bipolar Junction Transistor
Modules:
Course Introduction, MOS at Equilibrium, Basic Operation of MOS, Analysis of MOS Operation, Analysis of MOS Operation (Part 2), MOS in Non-Equilibrium, Capacitance-Voltage Characteristics, Non-Ideal MOS
MOSFET Introduction, Basic Operation of MOSFET, Advanced Operation of MOSFET 1, Advanced Operation of MOSFET 2, Short Channel Effects 1, Short Channel Effects 2, Short Channel MOSFET
BJT Introduction, Base-Emitter Current, Basic Operation of BJT, Heterojunction Bipolar Transistor (HBT), Non-Ideal Behavior, Frequency Response
Course: Desarrollo de aplicaciones avanzadas con Android
Modules:
Bienvenida
Persistencia en los datos con Web Services, API Rest en Android (5 métodos), API Instagram, Ejemplo: Registrando la aplicación en Instagram, Ejemplo: Obteniendo un Access Token, Ejemplo: PostMan para probar solicitudes al API, Retrofit, Antes de implementar Retrofit, Ejemplo: Integrando Retrofit y Construyendo ViewModel, Ejemplo: Configurando Retrofit, Ejemplo: Implementando Retrofit, Configurando Retrofit, Gson en Android, Ejemplo: Consumiendo Json con Gson, Deserializando con Gson, Fin de módulo
Google Maps en Android, Ejemplo: Un proyecto Android para Maps
Notificaciones en Android, Ejemplo: Creando notificaciones, Servicios en Android, Google Cloud messaging/API y Sender ID, Ejemplo: Firebase Cloud Messaging dando de alta el proyecto, Ejemplo: Obteniendo el identificador del dispositivo, El servidor de envío de notificaciones, Ejemplo: Configurando un servidor Node.js REST con Heroku, Ejemplo: Conectando Servidor Node.js con Base de Datos Firebase, Ejemplo: Enviando Token ID de la aplicación al servidor Node.js y Firebase, Comunicando el servidor con Google Cloud, Enviando notificaciones desde servidor, Ejemplo: Enviando una notificación desde servidor Node.js, Resumen del módulo
Qué son los wereables, Android Wear, Desarrollando para Android Wear, Principios de diseño, Tipos de notificaciones, 2D Picker, Ejemplo: Creando un emulador Android Wear, Conectando teléfono y emulador, Ejemplo: Conectando el telefono al emulador, Creando notificaciones, Añadiendo múltiples acciones, Ejemplo:Notificación Android Wear añadiendo múltiples acciones, Creando un proyecto Android Wear, Composición de archivos de un módulo
Qué son y cuáles, Transiciones en Activities, Configurando el proyecto, Creando transiciones, Eventos en transiciones, Ejemplo: Transiciones, Despedida
Course: أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals
Modules:
مقدمة, استخدامات برنامج (Outlook), إصدارات برنامج (Outlook), إنشاء حساب في برنامج (Outlook)
فوائد استخدام البريد الإلكتروني (Email), أجزاء البريد الإلكتروني وكيفية إرسال إيميل, مجلدات البريد الإلكتروني, إعادة توجيه الإيميلات والرد عليها, حذف الإيميلات واسترجاعها
استخدامات التقويم وكيفية عرضه, إعدادات التقويم وإنشاء المواعيد والاجتماعات, التعامل مع المهام  والملاحظات
إنشاء جهات الاتصال, كيفية التعامل مع جهات الاتصال, الخلاصة
Course: Recuperación Optimizada en Cirugía Colorrectal
Modules:
Bienvenida MOOC, Atención Prequirúrgica, Consejería en Enfermería Preoperatorio, Consejería Nutricional Preoperatorio, Consejería Kinesiológica Preoperatorio, Atención Preanestésica
Atención Intraquirúrgica, Atención Intraanestésica
Atención Postquirúrgica, Consejería en Enfermería Postoperatorio Medidas de Prevención de Embolias, Consejería Nutricional Postoperatorio, Consejería Kinesiológica Postoperatorio, Atención Postanestésica
Indicadores de proceso y de impacto en la calidad del paciente de un protocolo de recuperación optimizado – Parte 1, Indicadores de proceso y de impacto en la calidad del paciente de un protocolo de recuperación optimizado – Parte 2, Indicadores de proceso y de impacto en la calidad del paciente de un protocolo de recuperación optimizado – Parte 3, Cierre MOOC
Course: How to Get Into Blockchain
Modules:
Welcome to the course, Demystifying blockchain, Blockchain in action, Overview of blockchain use cases and applications
Blockchain and society, Career trajectories in blockchain technologies
Course: Tables, Data & Networking in iOS
Modules:
Coder Swag project creation, Creating table view cells, Table delegates and protocols, Table data source, Collection view cells, Creating data models, Showing data in cells
Intro to GoalPost app, Creating Xcode project, Building goals view controller, Building the goal cell, What is Core Data?, Creating Core Data entity and attributes, Creating static goal cell, Building the create goal view controller, Creating a view controller extension, Creating button extension, Passing data from view controller, Saving to Core Data, Dismissing view controller, Fetching data from Core Data, Deleting items from Core Data, Setting goal progress, Core Data Project Challenge
Intro to App, Creating the todo UI, Creating a table view cell, Installing Node and running a server, Creating data models, Creating a networking service, Working with GET requests
Decoding and async, Displaying todos in a table, Error handling, Making a POST request, Finishing the todo app
Course: Introdução ao Marketing Analítico
Modules:
Apresentação do Curso
Introdução ao Módulo, O que é Marketing? Jovem Bruxo (Parte 1), O que é Marketing? Jovem Bruxo (Parte 2), O Marketing como Processo, A Importância do Marketing Analítico, Técnicas de Marketing Analítico (Parte 1), Técnicas de Marketing Analítico (Parte 2)
Introdução ao Módulo, Pesquisas Quantitativas de Marketing (Parte 1), Pesquisas Quantitativas de Marketing (Parte 2), Instrumentos de Coleta de Dados, Escalas Intervalares, Uso e Tratamento de Dados Secundários (Parte 1), Uso e Tratamento de Dados Secundários (Parte 2), Montagem de Questionários (Parte 1), Montagem de Questionários (Parte 2), A Arte de Perguntar
Introdução ao Módulo, Teste de Hipóteses (Parte 1), Teste de Hipóteses (Parte 2), Análise de Correlação (Parte 1), Análise de Correlação (Parte 2), Análise de Correlação - Excel, Análise de Correlação - Stata, Análise de Regressão (Parte 1), Análise de Regressão (Parte 2), Análise de Regressão - Excel, Análise de Regressão - Stata
Introdução ao Módulo, Segmentação (Parte 1), Segmentação (Parte 2), O que é Análise de Agrupamentos, Como fazer uma Análise de Agrupamentos, Calculando Distâncias Euclidianas (Gastos Diários) - Excel, Calculando Distâncias Euclidianas (Renda e Idade) - Excel, Procedimentos da Análise de Agrupamentos, Procedimentos da Análise de Agrupamentos - Stata, Análise de Agrupamentos: Aplicação (Parte 1), Análise de Agrupamentos: Aplicação (Parte 2), Análise de Agrupamentos: Aplicação - Stata, Análise de Agrupamentos: Aplicação (K-Means e Padronização de Variáveis) - Stata, Análise de Agrupamentos: Aplicação (Padronização de Variáveis) - Excel
Introdução ao Módulo, Conceituando Posicionamento (Parte 1), Conceituando Posicionamento (Parte 2), Conceituando Posicionamento (Parte 3), Mapa Perceptual - Por quê? (Parte 1), Mapa Perceptual - Coleta de Dados (Parte 2), Mapa Perceptual (Companhias Aéreas) - Stata, Mapa Perceptual (Carros) - Stata, Mapa de Preferências, Aplicação de Mapa Perceptual
Fechamento do Curso
Course: Fire Hydrant System
Modules:
About the Specialization, About the Course, Piping and Instrumentation Diagram, Elements of a Piping and Instrumentation Diagram, Pump General Arrangement Diagram, Piping and Instrumentation Diagram and Pump GA - Part 1, Piping and Instrumentation Diagram and Pump GA - Part 2, History of Fire Hydrants, Introduction to Fire Hydrants - Part 1, Introduction to Fire Hydrants - Part 2
Fire Pump Room, Pump Capacity Calculation, Listings and Approvals of Fire Pumps, Static Water Tanks, Classification of Tanks, Fire Water Reservoir - Example, Requirements of Fire Water Sumps, Pump and Sump Capacity Calculation - Part 1, Pump and Sump Capacity Calculation - Part 2, Fire Water Sump Calculation - Part 1, Fire Water Sump Calculation - Part 2
Importance of Pipes & Factors to be Considered in Fire Protection Systems, The Basis of Design of Water Distribution & Types of Pipes Used for Firefighting - Part 1, The Basis of Design of Water Distribution & Types of Pipes Used for Firefighting - Part 2, Types of Pipe Protection, Codes & Standards - Part 1, Types of Pipe Protection, Codes & Standards - Part 2, Introduction to Pipe Fittings, Types of Pipe Fittings - Part 1, Types of Pipe Fittings - Part 2, Pipe Fittings Codes and Standards, Introduction to Loads on Pipe Supports & its Types
Course: Preparing for Your Associate Cloud Engineer Journey
Modules:
Module Overview, Introduction to the Associate Cloud Engineer role, Certification value and benefits, Certification process, Creating your study plan
Module Overview, Setting up Cymbal Superstore's cloud environment, Introduction: Diagnostic questions for module 1, Creating your study plan
Module Overview, Selecting resources for Cymbal Superstore’s cloud solutions, Introduction: Diagnostic questions for module 2, Creating your study plan
Module Overview, Deploying and implementing Cymbal Superstore’s cloud recommended solutions, Introduction: Diagnostic questions for module 3, Creating your study plan
Module Overview, Managing Cymbal Superstore’s cloud solutions, Introduction: Diagnostic questions for module 4, Creating your study plan
Module Overview, Managing access for Cymbal Superstore’s cloud solutions, Introduction: Diagnostic questions for module 5, Creating your study plan
Your next steps
Course: Computational Thinking with JavaScript 3:Organise & Interact
Modules:
Introduction, Exploring the basics of HTML, Changing the content of the page from JavaScript  (ppt written, need to record), Using HTML 5 commands for drawing with JavaScript (PPT ready - need to video), Seeing how to interact using HTML and SVG
Adding input elements into our web app, Objects following paths and object creation/deletion - PPT created
Favourite Coding Environments, Music with JavaScript
Project motivation, Some project ideas, Time to work
Course: Basic Data Processing and Visualization
Modules:
What is a Data Product?, Data Product Examples in Enterprise, Developing a Data Product Strategy, Python and Jupyter Basics, Python Recap, Livecoding: Getting Started With Jupyter
CSV & JSON Files, Reading CSV & JSON Files, Processing Structured Data in Python, Live-Coding: JSON, Extracting Simple Statistics From Datasets, Simple Statistics: Live-Coding
Data Filtering and Cleaning, Processing Text and Strings in Python, Processing Times and Dates in Python, Livecoding: Time and Date Data
Matrix Processing and Numpy, Introduction to Data Visualization, Introduction to Matplotlib, Live-coding: MatPlotLib, urllib and BeautifulSoup
Course Summary