dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Completing the Accounting Cycle
Modules:
Adjusting Entries & Adjusted Trial Balance Part I, Adjusting Entries & Adjusted Trial Balance Part II, Adjusting Entries & Adjusted Trial Balance Part III, Adjusting Entries & Adjusted Trial Balance Walkthrough
The Worksheet Part I, The Worksheet Part II
Creating & Analyzing Financial Statements I, Creating & Analyzing Financial Statements II, Creating & Analyzing Financial Statements Walkthrough
Temporary and Permanent Accounts, Closing Entries & The Post-Closing Trial Balance, Closing Entries & The Post-Closing Trial Balance Walkthrough
Course: Supervised Machine Learning: Classification
Modules:
Welcome, Introduction: What is Classification?, Introduction to Logistic Regression, Classification with Logistic Regression, Logistic Regression with Multi-Classes, Implementing Logistic Regression Models, Confusion Matrix, Accuracy, Specificity, Precision, and Recall, Classification Error Metrics: ROC and Precision-Recall Curves, Implementing the Calculation of ROC and Precision-Recall Curves, [Optional] Logistic Regression Lab - Part 1, [Optional] Logistic Regression Lab - Part 2, [Optional] Logistic Regression Lab - Part 3
K Nearest Neighbors for Classification, K Nearest Neighbors Decision Boundary, K Nearest Neighbors Distance Measurement, K Nearest Neighbors Pros and Cons, K Nearest Neighbors with Feature Scaling, [Optional] K Nearest Neighbors Notebook - Part 1, [Optional] K Nearest Neighbors Notebook - Part 2, [Optional] K Nearest Neighbors Notebook - Part 3
Introduction to Support Vector Machines, Classification with Support Vector Machines, The Support Vector Machines Cost Function, Regularization in Support Vector Machines, Introduction to Support Vector Machines Gaussian Kernels, Support Vector Machines Gaussian Kernels - Part 1, Support Vector Machines Gaussian Kernels - Part 2, Support Vector Machines Workflow, Implementing Support Vector Machines Kernal Models, [Optional] Support Vector Machines Notebook - Part 1, [Optional] Support Vector Machines Notebook - Part 2, [Optional] Support Vector Machines Notebook - Part 3
Overview of Classifiers, Introduction to Decision Trees, Building a Decision Tree, Entropy-based Splitting, Other Decision Tree Splitting Criteria, Pros and Cons of Decision Trees, [Optional] Decision Trees Notebook - Part 1, [Optional] Decision Trees Notebook - Part 2, [Optional] Decision Trees Notebook - Part 3
Ensemble Based Methods and Bagging - Part 1, Ensemble Based Methods and Bagging - Part 2, Ensemble Based Methods and Bagging - Part 3, Random Forest, [Optional] Bagging Notebook - Part 1, [Optional] Bagging Notebook - Part 2, [Optional] Bagging Notebook - Part 3, Review of Bagging, Overview of Boosting, Adaboost and Gradient Boosting Overview, Adaboost and Gradient Boosting Syntax, Stacking, [Optional] Boosting Notebook - Part 1, [Optional] Boosting Notebook - Part 2, [Optional] Boosting Notebook - Part 3
Model Interpretability, Examples of Self-Interpretable and Non-Self-Interpretable Models, Model-Agnostic Explanations, Surrogate Models, Introduction to Unbalanced Classes, Upsampling and Downsampling, Modeling Approaches: Weighting and Stratified Sampling, Modeling Approaches: Random and Synthetic Oversampling, Modeling Approaches: Nearing Neighbor Methods, Modeling Approaches: Blagging
Course: Agile Leadership for Distributed Teams
Modules:
Introduction to the Course & Meet the Instructor, Agile Principles and Values, Building Trust and Transparency, Distributed Communication Strategies, Distributed Agile Events, Agile Work Management Tools, Cultivating Collaboration and Team Unity, Remote Work Challenge, Continuous Improvement, Leading Change Remotely, Recap and Conclusion
Course: Introducción al Marketing
Modules:
Marketing 101: Construyendo Marcas Fuertes Parte I, Marketing101: Construyendo Marcas Fuertes Parte II, Marketing Estratégica, Segmentación y Targeting, Posicionamiento de Marca, Mantra de la Marca: El Discurso del Elevador, Branding Experimental  Cuestionario #1
De lo Centrado al Producto a la Gestión Centrada en el Cliente, Grietas en el Enfoque Centrado al Producto, Modelos de Negocios Impulsados por Datos, Tres Hurras por la Marketing Directa, ¿Cuáles Empresas están Orientadas al Cliente?, ¿Que es la Orientación al Cliente?, Viviendo en un Mundo Orientado al Cliente, Más Reflexiones en la Orientación al Cliente, Preguntas en Orientación al Cliente
Introduction and Execution, Competencia En Línea/Convencional, Fricción, La Cola Larga Parte 1, La Cola Larga Parte 2, Aislamiento por Preferencia, Cómo Crecen las Nuevas Empresas Minoristas en Internet, Clientes y Marketing Digital, Influencia y Cómo se Difunde la Información, Estrategias de Precio 1: Introducción, Estrategias de Precio 2 – Factores del Cliente, Las 7ms
Mensajería y Comunicación de Marca, Elementos de Marca: Escoger el Nombre de una Marca, Elementos de Marca: Color y Frases, Elementos de Marca: Presentación, Elementos de Marca: Persuasión, Reposicionando una Marca
Course: AWS Hybrid Storage Services Getting Started
Modules:
AWS Hybrid Storage Services Getting Started
Course: Microsoft Azure for Data Engineering
Modules:
Introduction to the program, Introduction to the course, DP-900: Microsoft Azure Data Fundamentals certification, Lesson introduction, Data abundance, The difference between on-premises and cloud-based servers, Understand job responsibilities, Use cases for the cloud, Lesson summary, Lesson introduction, Data job roles, Data engineering processes, A data engineer's tasks, Lesson summary
Module introduction, Data types, Data storage in Azure Storage, Data storage in Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, Azure Stream Analytics, Azure HDInsight, Other Azure data services, Module summary
Course 1 recap, Course wrap up
Course: Fundamentals of AI Agents Using RAG and LangChain
Modules:
Course Introduction, RAG, RAG, Encoders, and FAISS
Introduction to LangChain, Introduction to In-context Learning, Advanced Methods of Prompt Engineering, LangChain: Core Concepts, LangChain Documents for Building RAG Applications, LangChain Chains and Agents for Building Applications
Course: ADHD: Everyday Strategies for Elementary Students
Modules:
Introductory Video, New Findings and Treatments for ADHD: What we have Learned and What We Can Do, Prevalance and Causes
Diagnostic Criteria, Evidence-Based Assessment, Aligning Assessment with Treatment
Why Use aDaily Report Card (DRC)?, Structure of the DRC, Using a DRC - A Scenario, DRC Consequences
Practical Parenting Strategies: Things You Can Do Today, Brief Summary by Professor Greg Fabiano
Course: UiPath Orchestrator and Capstone Projects
Modules:
Welcome, Introduction to Orchestrator, Orchestrator Capabilities, Demonstration-Connecting a Robot to Cloud Orchestrator, Demonstration-Connecting a Robot to On-premise Orchestrator, Demonstration-Publishing a Project to Cloud Orchestrator, Demonstration-Publishing a Project to On-premise Orchestrator
User Interface of Cloud Orchestrator, User Interface of On-premise Orchestrator, Demonstration-Creating Assets in Cloud Orchestrator, Demonstration-Creating Assets in On-premise Orchestrator, Demonstration-Using Queues in Cloud Orchestrator, Demonstration-Using Queues in On-premise Orchestrator
Introduction to Capstone Projects, Capstone Project 1-Invoice Entry, Capstone Project 2-Stock Price Trend Comparison
Course: Managing Security in Google Cloud en Français
Modules:
Bienvenue dans la série "Security in Google Cloud"
Présentation du module, Approche de Google Cloud en termes de sécurité, Sécurité et surveillance des réseaux VPC, Modèle de responsabilité partagée en matière de sécurité, Menaces atténuées par Google et Google Cloud, Transparence des accès, Récapitulatif du module
Présentation du module, Cloud Identity, Google Cloud Directory Sync, Service Microsoft AD géré, Authentification Google ou authentification unique basée sur SAML, Identity Platform, Bonnes pratiques en matière d'authentification, Présentation de la démonstration : Définir des utilisateurs avec la console Cloud Identity, Démonstration de l'atelier : Définir des utilisateurs avec la console Cloud Identity, Récapitulatif du module
Présentation du module, Resource Manager, Rôles IAM, Comptes de service, Fédération d'identité de charge de travail, Stratégies IAM et règles d'administration, Policy Intelligence, Bonnes pratiques IAM, Présentation de l'atelier : Configurer IAM, Coursera : Premiers pas avec Google Cloud et Qwiklabs, Récapitulatif du module
Présentation du module, Règles de pare-feu VPC, Paramètres par défaut des pare-feu VPC, Bonnes pratiques pour les pare-feu VPC, Présentation de l'atelier : Configurer des pare-feu VPC, Équilibrage de charge et règles SSL, Appairage de VPC, Se connecter à Google Cloud, Cloud Interconnect, VPC Service Controls, Démonstration : VPC Service Controls, Accès privé aux API Google, Access Context Manager, Journaux de flux VPC, Présentation de l'atelier : Configurer et utiliser des journaux de flux VPC dans Cloud Logging, Cloud IDS, Présentation de l'atelier : Premiers pas avec Cloud IDS, Récapitulatif du module
Managing Security in Google Cloud : ressources du cours (English only)
Course: Dinámica de fluidos computacional aplicada
Modules:
Introducción al curso, Presentación del instructor, Introducción a los modelos de flujo, El caso de prueba y las mallas computacionales, Simulación de flujo no viscoso., Simulación de flujo laminar, Simulación de flujo turbulento, Eficiencia computacional: Flujo laminar, Eficiencia computacional: Flujo turbulento, Comparación de distintos regímenes de flujo
Introducción a los difusores y las toberas, Estudios de dependencia de la malla en un difusor, Estudios de dependencia de la malla en una tobera, Flujo laminar en difusores, Flujo turbulento en difusores, Flujo laminar en toberas, Flujo turbulento en toberas, Efectos de modificar la geometría
Flujos secundarios laminares originados por presión en ductos, Flujos secundarios laminares originados por presión en tuberías, Flujos secundarios turbulentos originados por presión en tuberías, Efectos del modelo de turbulencia en la predicción de flujos secundarios originados por presión, Flujos secundarios originados por turbulencias en ductos, Flujos de vórtice de herradura, Flujos de vórtice de punta, Predicción de flujos de vórtice de punta en una hélice
Introducción a los flujos alrededor de un cilindro circular, Flujo alrededor de un cilindro circular con Re = 5, Flujo alrededor de un cilindro circular con Re = 50, Flujo alrededor de un cilindro circular con Re = 500, Flujo alrededor de un cilindro circular con Re = 5000, Flujo alrededor de un cilindro circular con Re = 50 000, Flujo alrededor de un cilindro circular con números de Reynolds altos, Flujo alrededor de un cilindro circular giratorio
Introducción a la predicción de la transferencia de calor, Conducción de calor en sólidos, Convección natural en cavidades: Flujo laminar, Convección natural en cavidades: Flujo turbulento, Efectos de las propiedades de los fluidos en la convección natural, Convección natural con estratificación inestable, Simulación de transferencia de calor por convección forzada, Simulación de transferencia de calor conjugada
Course: Excel/VBA for Creative Problem Solving, Part 2
Modules:
What you will learn in this course, How the course works, How To Switch Sessions of the Course, Introduction to arrays, Local arrays in VBA, Importing/Exporting arrays from/to Excel, Using arrays in subroutines and functions, User-defined array functions, Example 1: SortVector array function and ksmallest, Example 2: Extracting diagonal elements from a square matrix, Example 3: Residuals of simple linear regression, ReDim Preserve, Example: ReDim Preserve, Assignment 1 preview and instructions
How to use string functions in Excel, Example: How to create email addresses from Last Name, First Name format, How to use string functions in VBA, Example: Using string functions in VBA, Example: Extracting email addresses from mixed string formats, Example: VBA array function for separating strings into component parts, Exporting data from Excel to .txt files, Importing data from .txt files, Importing data from tab-delimited .txt files, Example: Morse coder, Example: Morse decoder, Assignment 2 preview and instructions
All about worksheets, Iterating through worksheets, Consolidating information in multiple worksheets into a single worksheet, Example: Counting total number of 7's in all worksheets of a workbook, Putting it all together: Consolidating employee schedules in multiple worksheets, All about workbooks, Opening workbooks, Example: Importing and consolidating data from multiple files, Example: Counting 7's in multiple workbooks, Putting it all together: Consolidating employee schedules, Assignment 3 preview and instructions, How to select a range using the input box method
Advanced input boxes, Advanced message boxes, Event handlers, Introduction to user forms, Creating your first user form, Example: Fuel efficiency user form, Example: Tank volume user form, Dim'ming (or not Dim'ming) variables in user forms, Input validation in user forms, Introduction to combo boxes, Part 1, Introduction to combo boxes, Part 2, Example: Periodic table user form, (OPTIONAL) Putting it all together: Conversion Solver user form, Assignment 4 preview and instructions
Course: New Product Development - develop your own new product
Modules:
1.1 Introduction
2.1 Critical success factors in new product development  projects - part 1, 2.2 Critical success factors in new product development projects - part 2, 2.3 Studies on project critical success factors
3.1 Mapping the new product development process, 3.2 The S curve - the best timing for the introduction of new products
4.1 What to develop: from voice of the customer to product specifications, 4.2 What to develop: from the voice of the customer to value and benefit
5.1 The efficient frontier: testing of new product development ideas - part 1, 5.2 The efficient frontier: testing of new product development ideas - part 2
6.1 Project planning – introduction, 6.2 Project planning – scope management, 6.3 Project planning – scheduling, 6.4 Project planning – resource management, 6.5 Project planning – cost management, 6.6 Project planning – risk management
7.1 Project monitoring and control
8.1 Introduction to Project Team builder (PTB), 8.2 Introduction to Project Team builder – value and scope management, 8.3 Introduction to Project Team builder – time management, Copy of 8.3 Introduction to Project Team builder – time management, 8.4 Introduction to Project Team builder – resource management, 8.5 : Introduction to Project Team builder – cost management, 8.6 Introduction to Project Team builder – risk management
9.1 Introduction to the PTB scenario builder
10.1 Managing a deterministic unconstrained project
11.1 Managing a stochastic constrained project
Interview with Prof. Aaron Ciechanover, Interview with Dr. Moshe Rosenwein, Interview with Mr. Yoav Hochberg, Interview with Mr. Rony Friedman
Course: Innovation Through Design: Think, Make, Break, Repeat
Modules:
Welcome and meet your instructors, What is design innovation?, Design innovation in practice - Hear from the industry experts
Introduction to design thinking, What is human-centred design?, Translating insights into innovative opportunities, Human-centred design in the real world
Introduction to design making, Design making: concepts and prototyping, Creating prototypes, Idea generation and prototyping in design projects
Introduction to design breaking, How to evaluate concepts, Identifying and using design principles, Experimentation and testing in the industry
Introduction to design repeating, Recap of all modules - Why? Where? How?, Using design methods in practice: A design research case study, Industry expert tips on design and innovation, A final message from your instructors
Course: Design of High-Performance Optical Systems
Modules:
Introduction to the course, Introduction to Chromatic Aberration, Chromatic Aberration Lab Demonstration, Abbe Number, Prism Dispersion, Lens Dispersion, Lens Dispersion Singlet Dispersion from V, Singlet in OS, Compare Singlet in OS to Formula, Achromatic Doublet Introduction, Achromatic Doublet Solution, Achromatic Doublet in OpticStudio, Compare Doublet in OS to Formula, How to Choose a Glass, Huygens Eyepiece
Maxwell's Conditions, Abbe Sine Condition, Airy Tangent Condition, Equivalent Refracting Surface, Introduction to Aberrations, Ray and Wavefront Aberrations, Longitudinal Ray Aberrations, Ray Aberration Polynomial I, Ray Aberration Polynomial II, Defocus and Magnification, Spherical Aberration Lab Demonstration, Spherical Aberration Introduction, Spherical Ray Aberration, Spherical Wavefront Aberration, Coma Introduction, Coma Ray and Wavefront Aberration, Astigmatism Introduction, Astigmatism Ray and Wavefront Aberration, Coma and Astigmatism Lab Demonstration, Summary of Ray Aberrations
Petzval Introduction, Petzval Wavefront Error, Petzval and Astigmatism, What is Petzval Radius?, Distortion Introduction, Distortion Wavefront, Summary of Ray Aberrations, Impact of Aberrations on Focal Length, Zernike Polynomials, Strehl Ratio, Intro to Seidel Sums, Simple Seidel Example, Complex Seidel Example
Stop Down System, Bending the Lens, Refractive Index, Stop Shift, Symmetry, Field Curvature and Negative Power, Field Flattener, Field Lens, Conic Mirrors, Reflective Telescopes
Prisms that Fold, Prism Tunnel Diagrams, Prisms for Control I: Anamorphic prisms, Prisms for Control II, Prisms Laboratory Demonstration, GRIN Lens Introduction, GRIN Lens Details, Diffraction Gratings Introduction, Diffraction as Momentum Conservation, Grating Equation, Finite Width Grating, Resolving Power of Grating, Resolving Power of Grating vs. Prism, Gratings vs. Prisms Lab Demo, Introduction to Fresnel Lenses, Design of Fresnel Lens, Wavelength Dependence of a Fresnel Lens, Evolution of the Eye, Physiology of the Eye, Performance of the Eye, Aberrations of the Eye, Acuity of the Eye, Accommodation, Reduced Eye Model, A Better Eye Model, Ray Tracing the Eye
Course: Molecular Tumor Board 2021-22
Modules:
Thoracic Tumor - Somatic and germinal, both are deletions (Part 1), Thoracic Tumor - Somatic and germinal, both are deletions (Part 2)
Learning from failures
Selecting patients for PARPis in Ovarian Cancer: ¿How can we best indentify them?
Intrinsic Subtypes and Therapeutic Decision-Making in HR+HER2-negative Metastatic Breast Cancer
DNA repair and clinical evolutiol of metastatic prostate cancer
Change in phenotype and somatic BRCA1 mutation in a patient with advanced breast cancer
Done right, went wrong.
Can be guided treatment strategy without somatic molecular profile?
Precision medicine in non-melanoma skin cancer by Dr. Elia Segui
Unexpected response in a rare tumor
Mejorando la supervivencia en cáncer de mama mestatásico
Beyond BRCA1 and 2 in ovarian cancer by Dr. Adela Rodríguez
"Not everything is what it seems to be”... The correct interpretation of tumor molecular studies and the importance of a multidisciplinar approach (Part 1), "Not everything is what it seems to be”... The correct interpretation of tumor molecular studies and the importance of a multidisciplinar approach (Part 2), "Not everything is what it seems to be”... The correct interpretation of tumor molecular studies and the importance of a multidisciplinar approach (Part 3)
Never too late to think twice
Do we have predictive biomarkers in urothelial carcinoma (UC) beyond FGFR alterations?
Agnostic Biomarker in solid tumors
What acral melanoma hides
Molecular Family
Is there any rol for precision medicine in rare pacreatic cancer?
Beyond the classical EGFR resistance mechanisms
Breast cancer: Beyond intrinsic subtypes, Breast cancer: Beyond intrinsic subtypes
Intrahepatic cholangiocarcinoma: beyond chemotherapy
Exploiting genomics in serous endometrial cancer
Beyond classical BRAF mutations in melanoma
Can we talk about Precision Immuno-Oncology in HR+ HER2- Breast Cancer?
Brain tumor
Course: Agroforestry V: Ecosystem Services, Food and Sustainability
Modules:
Instructor Welcome, Companion Textbook
Section 5 Part 1, Section 5 Part 2, Section 5 Part 3, Section 5 Part 4, Section 5 Part 5, Section 5 Part 6
Course: Advanced Automation Frameworks and Continuous Integration
Modules:
Introduction to Logging Infrastructure, Changing the Format of Logs, Logger - Console Example, Logger - Configuration File Example, Writing a Generic Custom Logger Utility
Unittest Introduction, Writing Your First Test Case, Implementing Class Level Setup and TearDown Methods, Asserting a Test Method, How to Export PYTHONPATH – Must Watch, How to Run Code from Terminal, How to Create a Test Suite
Pytest Installation and Writing Your First Script, Working with Pytest Fixtures, Multiple Ways to Run Test Cases, Conftest - Common Fixtures to Multiple Modules, Maintaining Run Order of Tests, Running Tests Based on Command-Line Arguments, Structure Tests in a Test Class, Returning a Value from Fixtures, Generating HTML Test Report
Automation Framework Introduction, Understanding Framework Structure, Where to Practice the Framework?, Test Scenario without Framework, Converting Test Case to the Page Object Model (POM) Framework, Refactoring Your Page Object Class - Part 1, Building Your Custom Selenium Driver Class, Refactoring Your Page Object Class - Part 2
Adding Logging to Automation Framework, Verifying Test Case Result, Completing Login Page Test Cases, Creating Conftest to Implement Common Setup Methods, Refactoring Conftest to Make the Framework More Readable
Asserting without Stopping Test Execution, Asserting without Stopping Test Execution - Practical Example - Part – 1, Asserting without Stopping Test Execution - Practical Example - Part – 2, Implementing Screenshots in a Framework, Taking Screenshots on Test Failure, BasePage and Util Concept Introduction, Inheriting the BasePage Class
Custom Driver - Additional Methods before Exercise, Practice Exercise Question, Finding Element Locators - Solution - Part 1, Creating Register Courses Page Class - Solution - Part 2, Creating Register Courses Test Class - Solution Part 3, Practice Exercise Solution Update - Part 1, Practice Exercise Solution Update - Part 2, Handling Dynamic iframes in the Automation Framework
Setup and Configuration, Data-Driven Testing - Practical Implementation, Utility to Read Comma-Separated Values (CSV) Data, Multiple Datasets - Test Case Practical Example
Managing Navigation in an Automation Framework, Refactoring Login Tests, Running a Test Suite, Running Test Suite on Chrome
Git and GitHub Introduction, Git Installation on Windows, Git Installation on Mac, Creating Local Git Repository - Staging and Commit, File Check In - GitHub Remote Repository, Advantages and Importance of Git Branches, File Check in and Resolving Merge Conflicts – Real-Time Example, Course Code Files on GitHub, GitHub Project Check-In and Clone
Jenkins Features and Advantages, Jenkins Prerequisites, Jenkins Setup and Installation - Generic WAR File, Jenkins Setup and Installation – Windows, Jenkins Setup and Installation – Mac, Securing Jenkins, Jenkins Plug-Ins Management, Building a Remote Project Using Git and Jenkins
Conclusion to the Specialization
Course: Blockchain e Negócios: Aplicativos e Implicações
Modules:
Introdução ao curso, Apresentação do instrutor, Visão geral do módulo 1, Descentralizando a Empresa, Perspectiva do profissional - Andreas Wallendahl: Blockchain & ConsenSys, Custos de transação e a estrutura da empresa, Oportunidade 1: Busca, Oportunidade 2: Contratação, Oportunidade 3: Coordenação, Oportunidade 4: Construção da Confiança, Determinando limites corporativos, Hackeando seu futuro: Decisões sobre limites, Recapitulação do Módulo 1
Visão geral do módulo 2, Entidades comerciais distribuídas, The DAO: um conto preventivo, Novos modelos de negócios parte 1, Novos modelos de negócios parte 2, Perspectiva do profissional - Yaniv Neu-Ner: Modelo de Negócios para a Counter, Perspectiva do profissional - Oleg Fomenko: Modelo de Negócio para a Sweatcoin, O que são DApps?, Exemplo: BAirbnb, Patentes e inovação em Blockchain, Perspectiva do profissional - Rolf Hoefer: Propriedade intelectual, Pagamentos, atribuição e licenciamento, Propriedade Distribuída, Recapitulação do Módulo 2
Visão geral do módulo 3: Introdução aos Diretores Empresariais, O CEO, O COO, O CLO, O CFO, O CMO, O CIO e CTO, O CHRO, Perspectiva do profissional - Mihai Alisie: implicações para a C-Suite, Perspectiva do profissional - Rob Carter: implicações para a C-Suite, Resumo do C-Suite
Visão geral do módulo 4, Introdução a Regulamentação da Blockchain, Perspectiva do profissional - Andreas Wallendahl: Regulamentação, Questões fundamentais, Princípios Regulatórios, Perspectiva do profissional - Hariton Korizis: Regulamentação, Regulamentação x Governança, Perspectiva do profissional - Ana Trbovich: Regulamentação e Governança, A camadas de atuação da blockchain, Várias camadas de governança de blockchain, Uma nova estrutura para governança de blockchain, Perspectiva do profissional - Rob Carter: Governança, Perfil de uma incubadora de Blockchain, Resumo do Módulo 4
Visão geral do módulo 5, O contrato social atual está quebrando, Motores para a Mudança, Quatro pilares da sociedade, Introdução a um novo contrato social, Repensando o Trabalho, A pré-distribuição da riqueza, Energia Distribuída, Instituições Colaborativas, Resumo do Módulo 5, Conclusão do Curso, Mihai Alisie sobre os Modelos de negócios, Mihai Alisie sobre os Próximos passos para a AKASHA?
Course: Chemicals and Health
Modules:
Lecture 0: Chemicals and Health: Course Overview  - Megan Latshaw, Lecture 1A: Chemicals in Our Environment: What Is a Chemical and How Are We Exposed  - Burke, Lecture 1B: Chemicals in Our Environment: What Is a Chemical and How Are We Exposed  - Burke, Lecture 1C: Chemicals in Our Environment: What Is a Chemical and How Are We Exposed  - Burke, The Chemical Revolution - Megan Latshaw
Lecture 3A: A Look Into the World of Toxicology Section A  - Trush, Lecture 3B: A Look Into the World of Toxicology Section B  - Trush, Toxicology, Toxicokinetics, and Toxicodynamics .
Lecture 4: The CDC's National Biomonitoring Program  - Mortenson, Lecture 5: Biomonitoring at State and Local Laboratories  - King
Lecture 6: Health Effects of Chemicals: How Do We Figure Out How Chemicals Affect Our Health?  - Mitchell, Lecture 7: Risk Assessment in Environmental Decision Making
Lecture 8A: After 40 Years, a New Toxic Substances Control Act, Lecture 8B: After 40 Years, a New Toxic Substances Control Act, Lecture 8C: After 40 Years, a New Toxic Substances Control Act, Lecture 8D: After 40 Years, a New Toxic Substances Control Act, Lecture 8E: After 40 Years, a New Toxic Substances Control Act, Lecture 9: Air Quality Regulation  - Samet
Lecture 10: Cotinine and Secondhand Tobacco Smoke in New York   - Aldous, Lecture 11: Chemicals and Cigarettes  - Cohen, Lecture 12: Arsenic Exposure from Food: How It Gets There, Why We Should Care, How to Reduce Exposure  - Rangan, Lecture 13: Drinking Water in the US  - Schwab, Lecture 14: Nanotechnology & Worker Health  - Breysse, Lecture 15: Course Wrap-Up  - Resnick and Burke
Course: Build Your Own iOS App
Modules:
Fun With Selfies, Making Prototypes With Keynote
Fun With Selfies: Add Facetracker Framework, Fun With Selfies: Facetracker view controller
Fun With Selfies: Basics of facetracker, Fun With Web Services: Making HTTP Requests, Example - App Prototype
Fun With Selfies: Show tracked points
Farewell from iOS App Team, Final Example
Course: C# Class Development
Modules:
Course Introduction, Navigating a Coursera Course (optional), Meet the Instructor (optional), Lesson Introduction, Rock and Roll, What is a Chair?, Network Layers, Abstraction in Code, Lesson Introduction, Designing the Class, Fields and Properties, One Constructor, Another Constructor, Method
Lesson Introduction, Method Headers, Parameters and How They Work, Getting Valid User Input, Passing Objects as Parameters, Nesting and Boxes Revisited
Lesson Introduction, Designing the Class, Fields and Properties, Methods, Using in a Game
Lesson Introduction, The Char Data Type, String Basics, String Operations, Unity Text Output, Lesson Introduction, Audio Basics, Adding an Audio Manager, Finishing Up
Course: Google Cloud Fundamentals: Core Infrastructure 日本語版
Modules:
コースの概要
クラウド コンピューティングの概要, IaaS と PaaS, Google Cloud ネットワーク, 環境への影響, セキュリティ, オープンソース エコシステム, 料金と課金
Google Cloud のリソース階層, Identity and Access Management（IAM）, サービス アカウント, Cloud Identity, Google Cloud の操作, Coursera: Google Cloud Platform と Qwiklabs を使用する
Virtual Private Cloud ネットワーク, Compute Engine, 仮想マシンのスケーリング, VPC の互換性に関する重要な機能, Cloud Load Balancing, Cloud DNS と Cloud CDN, Google VPC へのネットワーク接続
Google Cloud のストレージ オプション, Cloud Storage, Cloud Storage: ストレージ クラスとデータ転送, Cloud SQL, Cloud Spanner, Firestore, Bigtable, ストレージ オプションの比較
コンテナの概要, Kubernetes, Google Kubernetes Engine（GKE）
Cloud Run, クラウドでの開発
コースのまとめ
Course: The Art of Storytelling
Modules:
Storytelling Introduction, When to Use a Story?, Structure of a Good Story, The Seven Mortal Sins of Storytelling, Effective Tools in Storytelling, Storytelling Speech Sample
Course: Christian Virtues for Spiritual Growth
Modules:
Welcome to the Course!, Forming Virtue, Why Kindness? Studying Holy Examples, How to Live the Virtues: Kindness, Listening, and Beauty, Stanley’s Two Cents: The End of Protestantism
Hope Points Us to Purpose, Endurance Creates Hope, Eternity is Now, Advice to Pastors, Hope Inspires Action, Hope in the Pauline Epistles, Stanley’s Two Cents: Freedom vs. Narrative
It’s All Greek to Me: The Odd Virtue of Humility, Humility Points to Friendship, Jesus Humbled Himself to Death, Humility vs. Insecurity, Stanley’s Two Cents: The Challenges of Technology
Generosity and Power, Forgiveness: An Alternative to Violence, Selfishness or Courage?, Generosity and Foot Washing, Looking Back on the Virtues, Stanley's Two Cents: Marriage and Family
Course: Introduction to Archaeology: Knowing The Past
Modules:
Meet The Professor, 1.0 Welcome to Introduction to Knowing The Past
2.0 Introduction, 2.1 Introduction to Anthropology, 2.2 The Subfields of Anthropology, 2.3 What is Archaeology, 2.4 Archaeology's (Problematic) Past, 2.5 Archaeological Theory, 2.6 Applied Archaeology
3.0 Introduction to Coursera Series Overview, 3.1 Introduction to Archaeology as a Science, 3.2 Intro to Archaeological Interpretation of the Past, 3.3 Introduction to Archaeology as Activism
The Final Dig: Closing Remarks on Introduction to Knowing The Past
Course: Mathematical Biostatistics Boot Camp 2
Modules:
Hypothesis Testing, More Hypothesis Testing, General Rules of Hypothesis Testing, Two-sided Tests, Confidence Intervals & P Values, Power, Calculating Power, T Tests & Monte Carlo, Two Sample Tests - Matched Data I, Two Sample Tests - Matched Data II, Two Sample Tests - Regression to the Mean, Two Sample Tests - Two Independent Groups
Two Sample Binomial Tests - Score Statistic, Two Sample Binomial Tests - Exact Tests, Two Sample Binomial Tests - Comparing 2 Binomial Proportions, Relative Risks & Odds Ratios - Relative Measures, Relative Risks & Odds Ratios - The Relative Risk, Relative Risks & Odds Ratios - The Odds Ratio, Delta Method, Delta Method & Derivation
Fisher's Exact Test, Hyper-Geometric Distribution, Fisher's Exact Text in Practice & Monte Carlo, Chi Squared Testing, Testing Independence, Generalization, Goodness of Fit Testing
Simpson's Paradox, Simpson's Paradox, more examples, Weighting, CMH test, Case Control Sampling, Exact inference for The Odds Ratio, Matched 2x2 Tables, Dependence and Marginal Homogeneity, Estimation of the Marginal Difference in Proportions, Odds and Ends for Matched 2x2 Tables, the sign test, the sign rank test, the rank sum test, Poisson distribution, Poisson likelihood, Poisson P-value calculation
Course: Project Management Project
Modules:
Welcome to the Capstone!, Peer Review Overview
Project Components/Course Objectives, # 1 Narrative Charter Statement, # 2 Work Breakdown Structure, # 3 Sequence Project Activities, # 4 Build a Project Schedule, # 5 Create a Project Budget, # 6 Create a RAM, # 7 Identify Project Risks
Links to Relevant Course Content
What's Next?
Feedback Peer Review
Final Peer Review Assignment
Evaluation of your Peer's Work
Keep The Learning Momentum Going!
Course: Data Mining Project
Modules:
Welcome to the Data Mining Project!
Task 1 Overview, Task 1 Rubric
Task 2 Overview, Task 2 Rubric
Task 3 Overview, Task 3 Rubric
Task 4 and 5 Overview, Task 4 and 5 Rubric
Task 6 Overview, Task 6 Rubric
Final Report Instructions, Final Report Rubric
Course: Speaking to a Technical Group
Modules:
The First Step Is Knowing One's Audience!, "Reach" Your Audience With Storytelling, Where Do Stories Come From?, Lessons on Storytelling
Addressing a Group With Eye Contact, Voice Modulation is an Attention Grabber, 80% Of Your Communication is Nonverbal, A Brief on Hand Gestures, A Brief on Facial Expressions
A Secret to Slide Preparation, The Focus Box, Site Preparation: Neglected But Necessary, The Slide Changer and Laser Pointer
The 360: Knowing Everything, The Rehearsal, Reality and Working Through It, Really? Paper Copies?
Course: Gemini in Google Drive
Modules:
Introduction to Gemini in Google Drive, Ask Gemini about a file, Refine prompts with Gemini in Drive, Synthesize information across multiple sources using Gemini in Drive
Course: Database Engineer Capstone
Modules:
Introduction to the course, Project overview and set up, Module summary
Creating report queries for Little Lemon sales data, Develop a table booking system, Module summary
Data analytics and visualization, Creating a database client, Module summary
Course recap for Capstone project, Congratulations, you have completed the Capstone project!
Course: Dasar-dasar Analitik Data: Data, Data di Mana-mana
Modules:
Selamat datang di Program Sertifikasi Analitik Data Google, Pengantar materi, Analitik data dalam kehidupan sehari-hari, Cassie: Dimensi analitik data, Apa itu ekosistem data?, Bagaimana data memberi pertimbangan untuk pengambilan keputusan yang lebih baik?, Apa yang diharapkan setelah Anda bergerak maju
Menemukan rangkaian keterampilan data, Keterampilan utama analis data, Segala hal tentang berpikir secara analitikal, Mengeksplorasi keterampilan inti analitikal, Menggunakan data untuk menghasilkan kesuksesan, Keajaiban data di dunia nyata
Mempelajari berbagai alat dan fase data, Tahapan-tahapan siklus hidup data, Enam fase analisis data, Molly: Contoh proses data, Menjelajahi alat-alat analis data
Mengetahui seluk beluk peralatan data inti (core data tools), Kolom, baris dan sel, wow!, Penggunaan SQL, Angie: Setiap hari giat berlatih mempelajari keterampilan baru, Menjadi jagoan data, Lilah: Kelebihan dari penggunaan visualisasi
Mari segera melakukannya, Pekerjaan seorang analis data, Joey: Jalur untuk menjadi seorang analis data, Toni: Karier pendukung dalam analitis data, Kekuatan data dalam bisnis, Rachel: Detektif data, Memahami data dan perlakuan yang adil, Alex: Keputusan data yang adil dan etis, Analis data di berbagai industri yang berbeda, Samah: Praktik terbaik dalam wawancara, Rangkuman Mingguan, Selamat! Rangkuman materi
Course: Designing for Sustainment: Keeping Improvement Work on Track (Patient Safety IV)
Modules:
What Does Success Look Like?, Failure to Sustain, TRIP Plus 2, Planning Ahead, What Measures?, Examples of Successfully Sustained Projects
Conducting a Pre-Mortem, Facilitating a Pre-Mortem, Applying Results of a Pre-Mortem, Revisiting the Pre-Mortem, Pre-Mortem Demo Exercise
Change Management Introduction, Frameworks & Processes of Change, Adaptive vs. Technical Change, Adaptive Leadership, Stakeholder Analysis, Managing Conflict During Change, Communication as a Change Strategy, Methods of Changing Behavior
Sustainability and Spread, Key Implementation Concepts, Endure-Embed, A Model for Sustainability, A Practical Example of Sustainment, Expand, Expand: New Projects or Topic Ideas, 8 Steps? 50% is Engagement, Enhancing Engagement, Address Barriers to Engagement
Course: Probability Theory: Foundation for Data Science
Modules:
Earn Academic Credit for your Work!, Course Support, Course Resources and Reading
Intro to Probability, Axioms of Probability, Counting: Permutations and Combinations
Conditional Probability and Bayes Theorem, Independent Events
Discrete Random Variables, Bernoulli and Geometric Random Variables, Expectation and Variance, Binomial and Negative Binomial Random Variables
Continuous Random Variables, The Gaussian (normal) Random Variable Part 1, The Normal Random Variable Part 2, The Poisson and Exponential Random Variables
Covariance and Correlation, More on Expectation and Variance, Jointly Distributed Random Variables
Introduction to the Central Limit Theorem, Central Limit Theorem Examples
Course: PMP Formulas
Modules:
Introduction to the Course: PMP Formulas, EVM and Cost Management Overview, Planned Value (PV), Earned Value (EV), and Actual Cost (AC), Variance Analysis and Performance Indicators, EVM Forecasting Overview, Estimate at Completion (EAC), Estimate to Complete (ETC), To-Complete Performance Index (TCPI), Module Summary:  PMP Formulas
Introduction to Schedule Management Formulas, Critical Path Analysis Overview, Excel based Simulation: Forward and Backward Pass, Float & Slack, Excel based Simulation: Float & Slack, Introduction to Estimation, PERT Estimating, PERT Concepts, Excel based Simulation: PERT Distribution, Triangular Distribution, Excel Based Simulation, Introduction to Contingency Reserves, Management Reserves, Risk Analysis vs Estimation of Cost and Schedule, Risk Planning vs Estimation of Cost and Schedule, Module Summary
Introduction to Investment Forecasting and Analysis, Net Present Value (NPV) Overview, Net Present Value (NPV) Excel example, Future Value (FV) Overview, Future Value (FV) Excel example, Internal Rate of Return (IRR) Overview, Internal Rate of Return (IRR) Excel example, Introduction to Project Selection, Benefit-cost ratio (BCR) Overview, Benefit-cost ratio (BCR) Excel example, Discounted Cash Flow Overview, Discounted Cash Flow (DCF) Excel example, Payback Period Overview, Payback Period Excel example, Overview of Investment Analysis, Expected Monetary Value (EVM) Overview, Expected Monetary Value (EMV) Excel example, Module Summary: Investment Analysis & Procurement
Course recap: PMP Formulas, Congratulations
Course: Think Critically: Deductive Reasoning and Mental Models
Modules:
1: Logic Made Simple(-ish): Demystifying Deductive Reasoning, 2: Deliberative Thinking: Surfacing Your Assumptions, 3: Contradictions and Explosions: The Limits of Classical Logic, 4: Don't Let Content Distract! Focusing on Logical Form
5: The Illusion of Objectivity: Barriers to Critical Thought, 6: Intellectual Honesty: Moving from Soldier to Scout Thinking, 7: Truth is Stranger Than Deduction: Logic's Limits, 8: Why Smart People Can Be More Likely to Jump to Conclusions, 9: Wrap-up
Course: Financial Risk Management with R
Modules:
Introduction, Retrieving Data from FRED, Calculating Daily Returns, Calculating Longer Returns, A Simple Example
Distribution of Returns, Value-at-Risk (VaR), Expected Shortfall (ES), Using Simulation to Estimate VaR and ES
Non-normal Distributions, Student-t Distribution, Rescaled t Distribution Model, VaR and ES for Multi-day Horizon
Future vs Historical Distribution, Volatility Clustering, GARCH, Estimation: rugarch Package, GARCH(1,1) - t, Diagnostic Tests, Using the ugarchboot Function, Using the ugarchroll Function, Course Summary
Course: Aspectos básicos del diseño de la experiencia del usuario
Modules:
Bienvenido al certificado de diseño de UX de Google, Introducción al curso 1: Aspectos básicos del diseño de la experiencia del usuario, Michael: Primeros pasos en el diseño de UX, Bienvenido a la semana 1, Aspectos básicos del diseño de la experiencia del usuario, Trabajos en el campo de la experiencia del usuario, El ciclo de desarrollo de un producto, Diseñar para una buena experiencia del usuario, Tareas de los diseñadores de UX de nivel básico, Dane: un día en la vida de un diseñador UX de nivel básico, Especialistas, generalistas y diseñadores generalistas-especializados, Erika: diseñadora generalista o especialista, Trabajar en un equipo multidisciplinario, Trabajos de diseño de UX en diferentes tipos de empresas, Desde el certificado hasta el éxito profesional, Juan: una carrera profesional en diseño de UX, Mike: una carrera profesional en diseño de UX, Actividad de cierre: Introducción al diseño de la experiencia del usuario
Bienvenido a la semana 2, Definición de usuario, usuario final y experiencia del usuario, Priorizar al usuario, Frameworks clave en el diseño de UX, Diseñar para los próximos mil millones de usuarios, Akhil: una perspectiva sobre los próximos mil millones de usuarios, Conocer las plataformas, Diseñar para diferentes plataformas, Diseño universal, diseño inclusivo y diseño centrado en la equidad, La importancia de la accesibilidad, La importancia del diseño centrado en la equidad, Tecnología de asistencia, Elise: la importancia de la tecnología de asistencia
Bienvenido a la semana 3, Introducción a los sprints de diseño, Las cinco fases de los sprints de diseño, Beneficios de los sprints de diseño, Planifica sprints de diseño, La introducción al sprint de diseño, El rol de un diseñador de nivel básico en un sprint, Jason: todo sobre los sprints de diseño, Diseñar retrospectivas de sprints, Cierre de la semana 3
Bienvenido a la semana 4, Introducción a los portfolios de diseño de UX, Lisa: creación de un portfolio de diseño de UX, Introducción a los creadores de sitios web, Introducción a las mejores prácticas para portfolios de diseño de UX, Explorar marcas personales, Usar las mejores prácticas de escritura en un portfolio., Empieza a desarrollar un presencia en línea, Crear o actualizar perfiles de redes sociales, Participar de las comunidades de diseño de UX, Crear redes y encontrar a un mentor, Superar el síndrome del impostor, Catherine: cómo conquistar el síndrome del impostor, Cierre de la semana 4, Felicitaciones por completar el Curso 1: Aspectos básicos del diseño de la experiencia del usuario
Course: Introduction to Databases for Back-End Development
Modules:
Introduction to databases, A day in the Life of a Database Engineer, What is a database?, How is data related?, Alternative types of databases, What is Structured Query Language?, SQL usage, Advantages of SQL, SQL syntax introduction, What are tables in databases?, Types of keys in a database table, Module summary: Introduction to Databases
Numeric data types, String data types, Default values, CREATE and DROP database, CREATE TABLE statement, ALTER TABLE statement, INSERT statement, SELECT statement, INSERT INTO SELECT statement, Updating data, Deleting data, Module summary: Create, Read, Update and Delete (CRUD) Operations
SQL Arithmetic Operators, Operators in use, SQL Comparison operators, ORDER BY clause, WHERE clause, SELECT DISTINCT clause, Module summary: SQL operators and sorting and filtering data
Database schema, Schema in use, Types of database schema, Table relationships, Primary key, Foreign key, Finding entitites, What is database normalization?, First normal form 1NF, Second normal form 2NF, Third normal form 3NF, Module summary: Database design
Course Recap: Introduction to databases for back-end development, Congratulations, you have completed Intro to databases for back-end development!
Course: Qualitative Methods for Quantitative People (with GenAI)
Modules:
Welcome Message
Unit 1: Qualitative Analysis for Quantitative People
Unit 2: Living Documents
Unit 3: Data-Driven Decision-Making
Unit 4: Resource Allocation
Unit 5: Even Good Ideas...
AI-Generated Content Disclaimer
Course: علم النجاح: ما يجب أن تعرفه من الباحثين
Modules:
لقاءات في الشارع - ما هو النجاح؟, الترحيب وسبب إنشاء هذه الدورة التدريبية, ما هو النجاح؟, ما المؤشرات التي تنبئ بالنجاح؟ الخرافات والحقائق, مقابلة مع الدكتور فيك ستريشر، أستاذ الصحة العامة بجامعة ميشيغان، تتضمن مناقشة حول أهمية إيجاد الهدف في الحياة والعمل.هذا الفيديو تكملة للفيديو المطلوب رقم 2 الذي يحمل عنوان (ما هو النجاح؟).
ما الأفكار المتطورة وكيف تساعدك على النجاح؟, كيف تقلل الأفكار المتطورة من الآثار السلبية للتحيز؟, ما التقييمات الذاتية الأساسية الإيجابية وكيف يمكنها مساعدتك على النجاح وكسب المزيد من المال أيضًا.
المعجزة في نهر هدسون, ما الذي يفرق الخبير عن غير الخبير؟, الطريقة التي يمكنك أن تصبح من خلالها خبيرًا عبر الممارسات الهادفة والمدروسة
معنى الاجتهاد، وسبب زيادة احتمال نجاح المجتهدين في المدرسة والعمل والحياة؟, معنى المثابرة وسبب نجاح المثابرين وكيفية تطوير مستوى المثابر؟
ما هو رأس المال الاجتماعي وما أهميته؟, تطوير الوعي بالذات وإنشاء السمة, إلهام الآخرين, بناء شبكتك ورأس المال الاجتماعي
قوة التخطيط - إنشاء خطة عمل مخصصة تحقق النتائج
الاستبيان اللاحق للدورة التدريبية
Course: AWS: Data Protection and Security Governance
Modules:
Lab - Systems Manager - Quick setup, Lab - AWS Systems Manager - Patch Management, Lab - AWS Systems Manager - Parameter Store, Lab - AWS Systems Manager - Run Command, Lab - Using the Certificate Manager
The Key Management Service, Lab - Working with the Key Management Service, Lab - AWS KMS - Key Policies, Lab - AWS KMS - Policy conditions and Grants, Lab - Using KMS with S3, Lab - Using KMS with EBS, Lab - Using a VPC Endpoint with the Key Management Service, Lab - CloudHSM
Lab - AWS Trusted Advisor, Lab - AWS Organizations, Lab - Working with AWS Config, Lab - AWS Config Rules, Lab - Amazon Macie
Course: Proje Planlaması: Her Şeyi Bir Araya Getirmek
Modules:
3. Kursa giriş, Proje planlamasının faydaları, Planlama aşamasının başlatılması, Proje başlangıç toplantısını yönetmek, Görevleri ve ara hedefleri anlamak, Ara hedefler belirlemenin önemi, Ara hedefler nasıl belirlenir?, İş kırılım yapısı oluşturmak, Kurs özeti, Clennita: Planlama yoluyla takım ruhu yaratmak
Giriş: Proje planı oluşturma, Proje planının bileşenleri, Takvimi belirlerken gerçekçi tahminlerde bulunma, Kapasite planlaması ve kritik yol, Ekibinizden doğru süre tahminleri alma, Angel: Süre tahmininde kişiler arası becerilerin değeri, Proje zaman çizelgesi oluşturma, Proje planıyla ilgili en iyi uygulamalar, Özet
Giriş: Bütçe hazırlama ve satın alma süreçlerini yönetme, Bütçe belirlemenin önemi, Proje bütçesinin temel bileşenleri, Proje bütçesi oluşturma, Proje bütçesini sürdürme, Satın alma sürecini anlama, Satın alma süreci, Yaygın satın alma belgeleri, Çalışma Bildirimi (SOW) Oluşturma, Satın alma sürecinde destek alma, Satın alma sürecinde etik değerler, Özet
Giriş: Riskleri etkili bir şekilde yönetme, Risk yönetiminin önemi, Stanton: İlk projemi yönetirken, Riskleri belirlemeye yardımcı olacak araçlar, Risk türleri, Risk azaltma stratejileri, Risk yönetimi planı oluşturma, Riskleri paydaşlara bildirme, Aji: Google'da risk yönetimi, Özet
Giriş: İletişim ağını ve belgeleme işlerini düzenleme, İletişim neden çok önemlidir?, İletişim planı başlatma, İletişim planı geliştirme, Projeyi belgelemenin önemi, Proje belgelerini düzenleme, Chris: İş görüşmesinden önce hazırladığınız eserleri düzenleme, Öz geçmişte deneyimi belgeleme, Dan: Projeyi belgelemenin önemi, Kurs özeti