dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Los pilares de la negociación
Modules:
Bienvenida, Vender no siempre significa negociar, Palancas que generan decisiones, Los 6 principios de influencia y persuasión
Course: AWS: CI/CD Pipelines and Deployment Strategies
Modules:
Automating a CI/CD Pipeline - Part 1, Automating a CI/CD Pipeline - Part 2, CI/CD Tool Selection, AWS CodeCommit, AWS CodeCommit - Lab, Amazon CodeGuru, Amazon CodeGuru Reviewer, Amazon CodeGuru Profiler
AWS CodeCommit with ECS-Part 01, AWS CodeCommit with ECS-Part 02, AWS CodeBuild with ECS-Part 01, AWS CodeBuild with ECS-Part 02, AWS CodeBuild with ECS-Part 03, AWS CodeDeploy with ECS
Build and Manage CI/CD Artifacts Securely - Part 1, Build and Manage CI/CD Artifacts Securely - Part 2, Deployment/Delivery Strategies - Part 1, Deployment/Delivery Strategies - Part 2, Implement Deployment Strategies - Part 1, Implement Deployment Strategies - Part 2, Automate and Integrate Testing, Deployment Services, Infrastructure Deployment Concepts, AWS ElasticBeanstalk - Limitations, AWS ElasticBeanstalk - Customizations
Course: Preparing Cloud Professional Cloud Architect Exam italiano
Modules:
Introduzione al corso, Comprensione della certificazione, Introduzione a Google Cloud e Qwiklabs
Case study di esempio per l'esame Professional Cloud Architect, Mountkirk Games, Soluzione di esempio MountKirk Games, Dress4Win, Soluzione Dress4Win, TerramEarth, Soluzione TerramEarth
Progettazione e implementazione, Progettazione dell'infrastruttura di una soluzione che soddisfi i requisiti aziendali, Case Study 1, Progettazione dell'infrastruttura di una soluzione che soddisfi i requisiti tecnici, Progettazione di risorse di rete, spazi di archiviazione e computing., Creazione di un piano di migrazione, Domande pratiche dell'esame 1, Gestione e provisioning dell'infrastruttura della soluzione, Case Study 2, Configurazione di singoli sistemi di archiviazione, Trasferimento dei dati, Cloud Storage, Dall'elaborazione dei dati al Machine Learning, Configurazione dei sistemi di computing, Microservizi, container, elaborazione dei dati e IoT, Esperimento: container e video GKE (Mi piace/Non mi piace)?, Domande pratiche dell'esame 2, Challenge Lab 1
Ottimizzazione e operazioni, Case Study 3, Progettazione per la sicurezza, Progettazione per la conformità legale, Domande pratiche dell'esame 3, Case Study 4, Analisi e definizione dei processi tecnici, Analisi e definizione dei processi aziendali, Sviluppo di procedure per testare la resilienza, Domande pratiche dell'esame 4, Case Study 5, Fornire indicazioni ai team operativi di sviluppo, Domande pratiche dell'esame 5, Verifica dell'affidabilità della soluzione e delle operazioni, Case Study 6, Domande pratiche dell'esame 6, Challenge Lab 2, Challenge Lab 3
Risorse e passaggi successivi, Quiz per le esercitazioni, Risorse
Course: Foundations of Data Science
Modules:
Welcome to the Google Advanced Data Analytics Certificate, Introduction to Course 1, Welcome to module 1, Explore your data toolbox, Wrap-up, Lois-An: Navigate your data career with curiosity, Prepare for your first assessment
Welcome to module 2, Adrian: Create a data-driven business solution, Data-driven careers drive modern business, Leverage data analysis in nonprofits, The top skills needed for a data career, Important ethical considerations for data professionals, The data professional career space, Wrap-up
Welcome to module 3, Cassie: A lifelong love of data, The future of data careers, Tiffany: Advice for job seekers, Build a professional online presence, Strengthen professional relationships, Prepare for your job search, Daisy: Highlight both technical and people skills, Wrap-up
Welcome to module 4, Hautahi: Importance of communication in a data science career, Introduction to PACE, Key elements of communication, Communication drives PACE, Connect PACE with upcoming course themes, Wrap-up
The value of a portfolio, Introduction to your Course 1 end-of-course portfolio project, End-of-course project wrap-up and tips for ongoing career success, Course wrap-up
Course: Practical Applications of FAIR™ for Cyber Risk Management
Modules:
Introduction to Practical Applications of FAIR™ for CRM, CRM Research at MIT Sloan, Forrester’s Cyber Risk Management Research, Data Integrity, Missing GAAP for CRM, FAIR Enables Business Decisions, Effective Operational Risk Management: Quantifying Risk Reduction and Setting Risk Appetite, FAIR Enables Security Programs to Mature, FAIR Enables a Proactive Approach to CRM, Adopting the FAIR Model
FAIR’s Primary Purpose, Financial Services CRM Trade-offs, Healthcare Use Case Example, FAIR Helps CISOs Manage Budget, Risk Buy-Down with FAIR, Cyber Insurance Use Case with FAIR, Optimizing Decision-Making with FAIR, Mastering FAIR for Global Technology Risk, Credit Monitoring Use Case, Health Insurance Business Use Case, NASA (Mission-focused) FAIR Use Case
SEC Materiality Reporting, What is Materiality?, HowMaterialIsThatHack.org Overview, Cyber-Hack Disclosure, Introduction to FAIR-MAM, Forrester’s Analysis of FAIR-MAM, Safe Security Automates FAIR-MAM, The Uber Cyber Breach: CISO’s Personal Liability Story, FAIR-MAM Use Case Examples, FAIR-MAM Built for SEC Rulings
Course: Business Transformation with Google Cloud auf Deutsch
Modules:
Apresentação do curso
Einführung und Innovationen im Lauf der Geschichte, Was ist die Cloud?, Die Gefahren des Status quo, Der Paradigmenwechsel, Außergewöhnliche Rechenleistungen, Daten als Währung, Produktivität und Automatisierung, Wahrnehmen, kategorisieren, vorhersagen und empfehlen, Was bedeutet das für Sie?
Einführung und eine neue Denkweise: Die Innovationswerkstatt, Die Innovationsmentalität in der Unternehmenskultur skalieren, Drei einfache Regeln für die Geschäftswelt, Die Bankenbranche und die Innovationskultur, Was bedeutet das für Sie?
Einführung und Transformation im Vergleich zu einem skalierten Verbesserungsprojekt, Eine überzeugende Transformationsherausforderung formulieren, Die Datenumgebung ausarbeiten, um Erkenntnisse aus Daten zu gewinnen, Geschäftliche Herausforderungen erkennen und priorisieren, Wahrscheinliche Ergebnisse mit einem Transformations-Framework bestimmen, Eine große Geschäftsherausforderung angehen
Einführung und grundlegende Begriffe: Datenschutz, Sicherheit, Compliance und Verfügbarkeit, Was sind die modernen Risiken bei der Cybersicherheit?, Wie kann ein gemeinsames Sicherheitsmodell den geschäftlichen Erfolg gewährleisten?, Welche Rolle kommt Ihnen im Modell der gemeinsamen Verantwortung zu?, Was sind die Compliance-Anforderungen von heute und wie kann Google Cloud dabei helfen, sie zu erfüllen?, Wo liegt meine Verantwortung bei der Einhaltung der Compliance?, Was bedeutet das für Sie?
Einführung und die ideale Lösung für Ihre Herausforderung finden, Die ideale Lösung für Ihre Herausforderung finden, Eine umfassende Datenstrategie für Ihren Transformationsprozess entwerfen, Die richtigen Daten erfassen, Ein Geschäftsszenario entwickeln, Das Geschäftsszenario präsentieren
Kursabschluss und nächste Schritte
Course: أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI
Modules:
مقدمة, مقدمة عن الذكاء الاصطناعي, مفهوم الذكاء الاصطناعي, الروبوتات, أنواع الروبوتات, مقدمة عن مسارات الذكاء الاصطناعي
الأنظمة الخبيرة, مفهوم الرؤية الحاسوبية, مجالات تطبيق الرؤية الحاسوبية
مفهوم معالجة اللغات الطبيعية, أنظمة الحوار, الترجمة الآلية, استخلاص النصوص, تلخيص النصوص
المفاهيم الأساسية, آليات حفظ وقياس البيانات الضخمة, الخصائص الأساسية, الخصائص الجديدة, مصادر البيانات الضخمة وأنواعها, أنواع البيانات حسب التصنيف والمعالجة, تقنيات ومراحل معالجة البيانات الضخمة
مفهوم التعلم الآلي, مستويات التعلم الآلي – الجزء 1, مستويات التعلم الآلي – الجزء 2, الخلاصة
Course: Power Query Fundamentals
Modules:
Course Introduction, Introduction to Power Query, Course Outline, Download Power Query, Overview of Course Files
Basic Transformations Objectives, What is a CSV File?, Database Normalization, Basic CSV Unpivot, Importing CSV file 1a, The Power Query Editor, Manipulating Column Headers, The Query Steps Pane, Deleting Columns, Unpivoting Columns, Filtering Blanks, Defining Data Types, Loading Query 1a to the Worksheet, CSV Import N Columns, Duplicating Queries, Modifying the Source, Importing an Unknown Number of Columns, Futureproofing Our Query, Filter Non-dates, Import CSV File 1c, Identify Column Headers, Remove Unwanted Columns, Unpivot and Rename, Date Settings, Interpreting and Filtering Dates, Loading as Connection Only, Grouped Row Headers, Fill Values Down, Thinking about the Order of Steps, Pivot Grouped Headers, Adding a Duplicate Column, Finishing Up, Learner Exercise, Clues, Review
Extracting Information, A Closer Look at Filters, Creating Query Folders, Better Filters, Extracting Characters from Text, Checking Filter Logic, Import Basic Excel Files, Dealing with Ghost Columns, Splitting Columns, Referenced Queries, Splitting by Delimiter, Splitting by Character Number, An Introduction to M Code, Commenting Code, Exercise 2d - Splitting Columns into Rows, Importing an Excel Table, Split a Column into Rows, Learner Exercise, Exercise 2z - Clues, Exercise 2z - Review, What if the Dataset Grows
Consolidating Data Objectives, Exercise 3a - Grouping Data, Setting Up Our Query, Aggregating Multiple Columns, Identifying a Specific Month, Grouping Rows, Merging Tables, Two Queries from the Same File, Merging Queries, Expanding Merged Columns, Exercise 3c - Combining Identical Files, Create Query from Folder, Modifications Required before Combining, The Combined Query, Extracting Data from Each Filename, Using Filters for Investigation, Exercise 3z - Student Exercise, Clues and Challenges, Review
Dealing with Errors Objectives, Basic Errors, Tracking Down Errors, Managing Errors in the Power Query Editor, Using Find Replace to Fix a Character Error, Errors with Date Locales, Changing a Column Date Locale, Dealing with Exceptions, Creating a Conditional Column with a Columnar Output, Creating a Conditional Column with a Text Output, Errors with File Locations, Creating a Parameter, Using a File Location Parameter, Opening the All Queries File, Student Exercise, Clues, Review, Course Summary
Final Assessment
Course: Mastering Programming with MATLAB
Modules:
Introduction
Recursion Part 1, Recursion Part 2, Recursion Part 3, Variable Number of Arguments, Function Handles and Nested Functions
Mixed Mode Arithmetic, Linear Equations, Live Scripts, Error Handling
Algorithmic Complexity Part 1, Algorithmic Complexity Part 2, Algorithmic Complexity Part 3, Efficiency in Practice, Vectorization and Other Speed-Ups
Introduction to Object Oriented Programming, Handle Classes, More on OOP, Tying It All Together
Graphical User Interfaces Part 1, Graphical User Interfaces Part 2, Standalone Applications, Wrap-up
Final Project Demonstration
Course: Advanced Quantitative Statistics with Excel
Modules:
Introduction to the Course & Meet Your Instructor, Basics of Hypothesis Testing, Understanding P-Values and Statistical Significance, T-tests for Known Variance, Conducting a Simple T-Test in Excel, Understanding One-Tailed Tests, Performing a One-Tailed Test in Excel w Video, Understanding the Two-Sample T-Test, Performing a Two-Sample T-Test in Excel, Introduction to ANOVA, Conducting ANOVA in Excel, Introduction to Regression Analysis, Conducting Linear Regression in Excel, Exploring Multiple Regression Analysis, Conducting Multi -Linear Regression in Excel, Congratulations and Continuous Learning Journey
Course: مهارات ذكاء النجاح | Success Intelligence Skills
Modules:
مفهوم ذكاء النجاح وصفات أصحاب النجاح, الذكاء التحليلي (Analytical Intelligence), الذكاء الإبداعي (Creative Intelligence), الذكاء العملي (Practical Intelligence), الرؤية المستقبلية (Vision), الإمكانيات (Potentials) والحكمة (Wisdom), العلاقات (Relations) والشجاعة (Courage), النعمة (Grace) ونهضة المجتمع (Renaissance), مبادئ منهج الجوهرية - الجزء الأول, مبادئ منهج الجوهرية - الجزء الثاني, مبادئ منهج الجوهرية - الجزء الثالث, مبادئ منهج الجوهرية - الجزء الرابع, الدروس المستفادة من حياة "نيلسون مانديلا" (Nelson Mandela) - الجزء الأول, الدروس المستفادة من حياة "نيلسون مانديلا" (Nelson Mandela) - الجزء الثاني, تجارب مختلفة لأكبر الشركات نجاحاً
Course: Leveraging Generative AI for Social Impact Organizations
Modules:
Introduction & Importance, Tips to Get Started - Part 1, Tips to Get Started - Part 2
Content Generation
Challenges Integrating AI Into Workflows, Strategies to Integrate AI Into Workflows - Part 1, Strategies to Integrate AI Into Workflows - Part 2
Upskilling & Improvement
Ethical Considerations - Part 1, Ethical Considerations - Part 2
Course: Cybersecurity Capstone Project
Modules:
Simple Project Demo, Heroku Overview
Developing, Deploying, and Grouping, Criteria for Evaluation, Week 3 Overview
Feedback Rubric, Instructions on Evaluation
Break it Feedback, Capstone Conclusion
Course: النماذج المتعاقبة
Modules:
لم النماذج المتعاقبة, الرموز والتدوين, نموذج الشبكات العصبونية المتكررة, الانتشار الخلفي عبر الزمن, أنواع مختلفة من الشبكات العصبونية المتكررة, نموذج اللغة والتسلسل الناتج, أخذ عينات روائية متعاقبة, إخفاء التدرجات مع الشبكات العصبونية المتكررة, وحدة بوابة متكررة, الذاكرة طويلة – قصيرة الأمد, الشبكة العصبونية المتكررة ثناية الاتجاه, الشبكة العصبونية المتكررة العميقة
تمثيل الكلمات, استخدام كلمات التعارف, خصائص كلمات التعارف, مصفوفة التعارف, تعلم كلمات التعارف, الكلمة والمتجه, العينات السلبية, المتجهات العالمية لتمثيل الكلمات, تصنيف المشاعر, الحد من التحيز في كلمات التعارف
النماذج الأساسية, اختيار الجملة الأكثر احتمالا, بحث شعاعي, تحسينات البحث الشعاعي, تحليل الأخطاء في البحث الشعاعي, خوارزمية تقييم الجودة (اختياري), نموذج الانتباه الحدسي, نموذج الانتباه الحدسي, التعرف على الكلام, الكشف عن كلمات التنبيه, الخاتمة ولسيادتكم وافر التحية والتقدير،
Course: Sustainable Urban Water Systems
Modules:
Introduction to this MOOC
Water and the City: in search for a balance among needs and risks, Climate Change Effects on Rainfall and Runoff
Human alteration of the Water Cycle in urban areas and strategies for recovering, Nature-based Solutions: Water Squares and Blue Roofs, Nature-Based Solutions: Infiltration Systems, Nature-Based Solutions: Bio-retention area, Nature-Based Solutions: Permeable Pavements, Nature-Based Solutions: Green Roofs and Vegetated Walls
Water availability, needs and sustainable uses, Sustainable Water Supply: Reduction of Water Loss and Waste, Sustainable Water Supply: Non-conventional Water Resources, Sustainable Water Supply: Rainwater Harvesting and Reuse, Concluding remarks
Course: Introduction to Complex Analysis
Modules:
History of Complex Numbers, Algebra and Geometry in the Complex Plane, Polar Representation of Complex Numbers, Roots of Complex Numbers, Topology in the Plane
Complex Functions, Sequences and Limits of Complex Numbers, Iteration of Quadratic Polynomials, Julia Sets, How to Find Julia Sets, The Mandelbrot Set
The Complex Derivative, The Cauchy-Riemann Equations, The Complex Exponential Function, Complex Trigonometric Functions, First Properties of Analytic Functions
Inverse Functions of Analytic Functions, Conformal Mappings, Möbius transformations, Part 1, Möbius Transformations, Part 2, The Riemann Mapping Theorem
Complex Integration, Complex Integration - Examples and First Facts, The Fundamental Theorem of Calculus for Analytic Functions, Cauchy’s Theorem and Integral Formula, Consequences of Cauchy’s Theorem and Integral Formula
Infinite Series of Complex Numbers, Power Series, The Radius of Convergence of a Power Series, The Riemann Zeta Function And The Riemann Hypothesis, The Prime Number Theorem
Laurent Series, Isolated Singularities of Analytic Functions, The Residue Theorem, Finding Residues, Evaluating Integrals via the Residue Theorem, Bonus: Evaluating an Improper Integral via the Residue Theorem
Final Exam
Course: Introduction to Automated Analysis
Modules:
Introduction to Automated Analysis, Automated Analysis Techniques, Symbolic Representations, Property Specification, Environmental Specification and Assumptions, Parameterized Unit Testing using junit-quickcheck, Environmental Specifications in junit-quickcheck, (Optional) Installation of Eclipse and Gradle
Overview of Automated Test Generation, Automated Test Generation using Random Testing, Automated Test Generation using Symbolic Execution, Automated Test Generation using Metaheuristic Search, Property-Based Testing for Real-Time Systems, Biasing Input Values in junit-quickcheck, Using Generators to Create Complex Inputs in junit-quickcheck, Explanation of Test Harness and Assignment for Microwave Example
What is Static Analysis, Dataflow Analysis, Program Wellformedness Properties, Designing programs for analyzability, Static Analysis with Infer
Automating Regression Testing, Automating Security Testing Using Fuzz Testing, Runtime Monitoring, Where Automation Fails, Using Multiple Methods Effectively, The Evolution of Software Testing
Course: إدارة مخاطر المشروعات والتغييرات التي تطرأ عليها
Modules:
نظرة عامة على الدورة التدريبية, استطلاع رأي بشأن الدورة التدريبية (English)
2.1 المحاضرة, 2.3 دراسة حالة, فيديو إضافي: كيفية عمل تقرير حالة وتقديمه إلى المديرين التنفيذيين
3.1 المحاضرة, 3.3 دراسة حالة, فيديو إضافي: اجعل التحكم في التغيير جزءًا من وصفتك للنجاح
4.1 المحاضرة, 4.3 دراسة حالة, فيديو إضافي: نصائح لعقد جلسة الدروس المستفادة
مقابلة أعضاء اللجنة
Course: What Are Viruses And How Do We Work With Them?
Modules:
Introduction to what are viruses and how do we work with them, Viruses and virus diversity, Francis Crick’s “Central Dogma of Molecular Biology”, and virus modifications to it, What are viruses? The virion, What are viruses? The viral genome, Summary of ‘what are viruses?’
Overview of replication, Generic replication cycle, part 1 - receptor-mediated binding, fusion and entry, Interview - Receptor-mediated entry for influenza, Interview - Receptor-mediated entry for SARS-CoV-2, Generic replication cycle, part 2 - intracellular transport, virus factories and shelter, dsDNA & ssDNA (Baltimore Group I & II) expression and replication strategies, Expression and replication strategies – Baltimore Group IV (positive-sense ssRNA), -ssRNA (Baltimore Group V) expression and replication strategies, Reversivirus (Baltimore Group VI retroviruses & VII hepadnaviruses) replication strategies
Overview of virus propagation and passage, Infectivity assays: dilution, plaques and TCID50, Serological assays: antigen and anti-viral antibody, Viral genome and/or mRNA detection, Interview with Graham Taylor/Cooke about COVID lab diagnostics, Microscopy – light and electron, classical and modern, Determining virus structure: crystallography and Cryo-EM, Modern virus detection: virochips and deep sequencing
Virus mutation: quasispecies, phenotype, non-synonymous mutations, and variants, Virus mutation: indels, amplification, acquisition, and further evolution, Virus mutation: selection, reversion, fitness, and bottlenecks, Poliovirus Sabin vaccine reversion – threat to eradication and possible solutions, The evolution of novel viruses (reassortment, recombination, and adaptation)
The limitations of conventional virus genetics, What are the advantages of recovery of viruses from cloned cDNA?, What can we learn from ‘reverse genetics’?, How can we use reverse genetics and chimaeric viruses?, How do we balance the benefits & risks of ‘reverse genetics’?, Course Summary
Course: Social Media Advertising
Modules:
11a) History of Social Media, Future of Social Media, Social Media Basics, Advantages and Disadvantages of Social Media Advertising, Social Media Tips for Small Businesses
5.1 - Twitter, 5.2 - Twitter Limitations, 5.3 - Targeting Case Study, 6.1 - Facebook Ads, 6.2 - Targeting Parameters, 6.3 - Facebook Pixel Data
7.1 - Instagram Content, 7.2 - Instagram Ad Use Cases, 7.3 Instagram and the Funnel, 7.4 - Instagram Takeaways
IMPORTANT PROJECT NOTE, Option #1: Targeting Parameters, Option #2: Instagram Case Study, Option #3: Twitter Case Study
Course: 디지털 전환 입문과정 [파트 2]
Modules:
디지털 인프라, 전통적인 코카콜라 비즈니스 모델, 디지털 코카콜라 비즈니스 모델, 클라우드 컴퓨팅, 데이터 무결성, 디지털 플랫폼, 디지털 플랫폼 사례 연구, 사이버 보안 인터뷰, IT 리더십 인터뷰
소개 - 디지털 기술, 빅 데이터와 클라우드로의 전환, 추측해 보세요..., 인공 지능과 머신 러닝, 블록체인, 데이터 과학, 대중의 지혜, 사물 인터넷, 3차원 인쇄
소개 - 디지털 비즈니스 업무, 디지털 IT, 디지털 마케팅, 디지털 금융, 디지털 운영, 디지털 커뮤니케이션, 디지털 정책, 디지털 HR, 핵심 요약 - 디지털 비즈니스 업무
Darden에서 학습하기 - 사례 연구법, 웨이모 사례
Course: Project Management Capstone
Modules:
Course Introduction, Project Scenario Introduction, Demo: Project Charter Review, Demo: Stakeholder Register
Demo: Work Breakdown Structure Review, Demo: Network Diagram Review, Demo: Budget Planning Review, Demo: Communications Management Review, Demo: Quality Management Review, Demo: Risk Register Review
Demo: User Story Review, Demo: Product Backlog Review, Demo: Sprint Backlog Review
Demo: Status Reporting Review, Demo: Change Request Review, Demo: Project Closeout Report
Demo: Personal Portfolio Development, Resume and Job Search Tips
Course: Negociações de sucesso: estratégias e habilidades essenciais (em Português)
Modules:
Visão Geral: Objetivo do Curso e Plano de Jogo, Apresentação da Universidade de Michigan, Eu Devo Negociar?, Uma Negociação Baseada em Posição ou Baseada em Interesse, Uma Negociação para Resolução de Conflitos ou para Elaboração de Acordo?, Analisando a Negociação, Sua MAANA numa Negociação para Resolução de Conflitos, Usando Árvores de Decisão para Fechar sua Análise MAANA, Negociações Interculturais, Como Lidar com Questões Éticas, Normas Éticas Gerais, Usando Agentes em Negociações
Usando Poder nas Negociações, Conhecendo o Outro Lado, Introdução a Ferramentas Psicológicas; Pressuposto do Bolo Fixo Mítico, Ferramentas Psicológicas: Ancoragem, Ferramentas Psicológicas: Excesso de Confiança, Ferramentas Psicológicas: “Framing”, Ferramentas Psicológicas: Disponibilidade, Ferramentas Psicológicas: Escalada, Ferramentas Psicológicas: Reciprocidade, Princípio do Contraste, e Perspectiva Panorâmica
Perspectivas em Contratos, Fontes da Legislação de Contratos, Criando Contratos: O Acordo, Criando Contratos: Contraprestação e Legalidade, Criando Contratos: Obrigatoriedade de Forma Escrita, Objetivos de Negócio VS. Objetivos Legais em Contratos
Prevenção de Conflitos, Conceitos de RAC, Ferramentas de RAC, Arbitragem, Arbitragem (Conclusão), Mediação, Mediação (Conclusão), Revisão e Avaliação da Execução do Contrato
Exercício de Introdução à Negociação, Avaliando a Negociação: Planejando-se para a Negociação, Avaliando a Negociação: Planejando-se para a Negociação (Conclusão), Avaliando a Negociação: Táticas de Negociação, Avaliando a Negociação: Ferramentas Psicológicas, Avaliando a Negociação: Ferramentas Psicológicas (Conclusão), Avaliando a Negociação: Criando e Executando o Contrato, Negociação: Aumentando o Tamanho do Bolo
Negociações de sucesso: estratégias e habilidades essenciais — Avaliação final do professor George Siedel
Course: Alibaba Cloud Native Solutions and Container Service
Modules:
Introduction of Alibaba Cloud Native Solution
Introduction to Alibaba Cloud Container Registry
Migrate Application to Alibaba Cloud Container Service for Kubernetes
Hybrid/Multi Cloud Management
Resource Orchestration with Terraform and Helm
DevOps Best Practice with ACK and ACR
Saving Cost with Autoscaling on ACK
Build AI/Machine Learning on Kubernetes
Security Solutions on ACK
Serverless ACK
Resource Observability
Course: Google Cloud Big Data and Machine Learning Fundamentals 한국어
Modules:
작성자 소개, 과정 소개
소개, Google Cloud 인프라, 컴퓨팅, 스토리지, 빅데이터 및 ML 제품의 역사, 빅데이터 및 ML 제품 카테고리, 고객 사례: Gojek, Coursera: Google Cloud Platform 및 Qwiklabs 시작하기, 실습 소개: BigQuery 공개 데이터 세트 살펴보기, 요약
소개, 빅데이터 문제점, 메시지 중심 아키텍처, Apache Beam을 사용한 스트리밍 파이프라인 설계, Cloud Dataflow에서 스트리밍 파이프라인 구현, Looker를 사용한 시각화, Looker Studio를 사용한 시각화, 실습 소개: Dataflow로 실시간 대시보드를 위한 스트리밍 데이터 파이프라인 만들기, 요약
소개, 스토리지 및 분석, 데모: TB 단위의 데이터를 수초 내에 쿼리하기, BigQuery ML 소개, BigQuery ML을 사용하여 고객 평생 가치 예측, BigQuery ML 프로젝트 단계, BigQuery ML 주요 명령어, 실습 소개: BigQuery ML을 사용한 방문자 구매 예측, 요약
소개, ML 모델 빌드 옵션, 사전 빌드된 API, AutoML, 커스텀 학습, Vertex AI, AI 솔루션, 요약
소개, 데이터 준비, 모델 학습, 모델 평가, 모델 배포 및 모니터링, 실습 소개: AutoML을 사용하여 대출 위험 예측하기, 실습 복습: AutoML을 사용하여 대출 위험 예측하기, 요약
과정 요약
Course: PgMP® Performance Domains - Governance and Lifecycle
Modules:
Overview of Program Governance, Program Governance Parts, Program Governance Practices: Program Change Governance, Program Governance Practices: Program Component Initiation and Transition, Overview of Program Governance Roles, Board, and Board Structure, Overview of Program Management Office (PMO), Overview of Program Governance Design and Implementation, CASE STUDY: Establish a Governance Model, CASE STUDY: Adaption to Governance, Overview of Program Lifecycle, Overview of Program Definition, Formulation, and Preparation, Overview of Program Delivery and Program Closure, Overview of Program Integration Management & Infrastructure, Overview of Program Delivery Management, More About Program Delivery Management, Overview of Program Closeout
Course: Programming with Generative AI
Modules:
Course Overview, Why Generative AI for Software Development?, Introduction to Code Companion Tools, Why GitHub Copilot?, Copilot Overview, Copilot and Code Editors, Subscribing to GitHub Copilot, Copilot Extension in Visual Studio Code
Deploying a Machine Learning Project using Gen AI Tools, Project Step 1: Importing Data using Copilot, Project Step 2: Data Exploration using Copilot, Project Step 3: Using Copilot for Model Training and Testing, Coding with Inline Copilot Chat
The Problem - Constructing Height Balanced Binary Search Tree, Solving Constructing Height Balanced Binary Search Tree using Copilot, The Problem : Two Sum Problem in Data Structures and Algorithms, Solving the Two Sum Problem using Copilot, The Problem: Blurring an Image, Blurring an Image using Copilot, Limitations and Challenges of Gen AI Tools, Wrap Up and Next Steps
Course: Exploring Data Transformation with Google Cloud
Modules:
Course introduction
Introduction, How data creates value, Unlocking business value from data, Data management concepts, The role of data in digital transformation, The data value chain, Data governance
Introduction, Unstructured data storage, Structured data storage, Semi-structured data storage, Choosing the right storage product, Database migration and modernization
Introduction, Business intelligence and insights using Looker, Streaming analytics, Pub/Sub and Dataflow
Course summary
Course: ¡A Programar! Una introducción a la programación
Modules:
Presentación, ¿Qué es un algoritmo? Estructuras de control. Secuencia., Representación de algoritmos, Precisión y supuestos, ¿Qué es Scratch? Ejemplos de programas (Tarjeta de cumpleaños, Flappy Bird), Opciones para trabajar en Scratch, Principales componentes de Scratch. Guardar y descargar, Decisión, Seudocódigo y diagrama de flujo. Decisión en Scratch, Reflexiones sobre las condiciones, Iteración. Iteración en Scratch, ¡Fiesta con globos!. Cambio de apariencia. Desarrollo incremental. Prueba simple., ¡Baile!: modificación de programas, Día nublado... ¡no! Coordenadas en Scratch, ¡Una película! Animación con 2 personajes, ¡Algoritmos en la producción de Audiovisuales!, Decisiones en un laboratorio de investigación [Inglés - Subtítulos en Español]
Introducción, Iteración controlada por cantidad, Iteración controlada por condición, Video musical, Video musical con karaoke, Dibujando cuadrados. Uso del lápiz, Nuestra tarjeta de cumpleaños. Interacción con el usuario, Nuestra tarjeta de cumpleaños. Soplar las velitas, Nuestra tarjeta de cumpleaños. Decisión (si, sino), Nuestra tarjeta de cumpleaños. Grabación de sonidos, ¡Juego de caritas! Eventos. Editor de imágenes. Cámara (sensores), Diseño de software, ¡Cortando frutas! (Fruit ninja). Diseño e implementación, Requerimientos. Juego del Helicóptero, Juego del Helicóptero: diseño. Abstracción, Juego del Helicóptero: implementación, Requerimientos y descomposición de problemas, Requerimientos, Prototipos y Abstracción en Arquitectura  [Inglés - Subtítulos en Español]
Introducción, Extensión del Helicóptero. Variable, Conociendo el Pong. Documentación, Modificando el Pong. Condiciones complejas, Más modificaciones al Pong. Pizza Pong. Prueba, Tirar penales. Remix, ¡Adivina el número! Interacción con el usuario, Jardín con flores. Iteraciones anidadas, ¡Remix en el laboratorio de Biotecnología!, Robots que juegan al fútbol [Inglés - Subtítulos en Español]
Introducción, ¡Atrapar al ratón! Procedimientos, ¡Cuadrados, cuadrados, cuadrados! Generalización. Parámetros, Escalera, ¡Cazar Fantasmas! Clones, Fuegos artificiales, ¡Romper burbujas! Modularidad, ¡La Ola!, Cómo nuestros programas pueden cambiar la forma de hacer las cosas, Entrevista a Joyera [Inglés - Subtítulos en Español]
Juego del Zombie: Proceso y enfoques de la Ing. de Software. Requerimientos y diseño de Interfaz., Juego del Zombie: Diseño del código. Concurrencia, Juego del Zombie: Implementación: interfaz, escoba y zombie, Juego del Zombie: Implementación: clon del zombie. Envío de mensajes: "broadcasting", Juego del Zombie: Implementación: fondo y flor. Complejidad Computacional, Juego del Zombie: Invasión zombie y extensiones, Compartir: Publicación en el sitio de Scratch. Resumen, Opcional: Scratch y otro lenguaje de programación: Python, ¿Cómo crear un video juego exitoso?, Entrevista a estudiante de Computación
Course: Serverless Machine Learning with Tensorflow on Google Cloud em Português Brasileiro
Modules:
Apresentação do curso, Considerações sobre machine learning
O que é machine learning (ML)?, Tipos de ML, O canal de ML, Variantes do modelo de ML, Como classificar um problema de ML, Como usar machine learning (ML), Otimização, Um playground de rede neural, Como combinar atributos, Engenharia de atributos, Modelos de imagem, ML eficaz, Quais são os elementos de um bom conjunto de dados?, Métricas de erro, Precisão, Precisão e recall, Como criar conjuntos de dados de machine learning, Como dividir conjuntos de dados, Python Notebooks, Visão geral do laboratório Como criar conjuntos de dados de ML, Revisão do laboratório Como criar conjuntos de dados de ML
Visão geral do módulo 2, O que é o TensorFlow?, Principais características do TensorFlow, Visão geral do laboratório Primeiros passos com o TensorFlow, Revisão do laboratório TensorFlow, API Estimator, Machine learning com o tf.estimator, Revisão do laboratório Estimator, Como criar ML eficaz, Introdução ao laboratório Refatoração para adicionar a criação de lotes e recursos, Revisão do laboratório Refatoração, Treine e avalie, Monitoramento, Introdução ao laboratório: Treinamento e monitoramento distribuídos, Revisão do laboratório: Treinamento e monitoramento distribuídos
Visão geral do módulo 3, Por que usar o Cloud ML Engine?, Fluxo de trabalho de desenvolvimento, Como empacotar o treinador, TensorFlow Serving, Laboratório: Como escalonar ML, Revisão do laboratório: Como escalonar ML
Visão geral do módulo 4, Atributos bons, Causalidade, Numérico, Exemplos suficientes, Dados brutos para os atributos, Atributos categóricos, Cruzamento de atributos, Como criar intervalos, Amplitude e profundidade, Onde aplicar a engenharia de atributos, Visão geral do laboratório Engenharia de atributos, Revisão do laboratório Engenharia de atributos, Ajuste de hiperparâmetro e demonstração, Níveis de abstração de ML, Resumo
Course: Key Success Factors in Supply Chain Finance
Modules:
Introduction to the Specialization, Meet your Instructor, Course Overview and Objective, Key Challenges in Setting up and Managing a Supply Chain Finance Program, An Overview of Success Factors, Topic 01: Ideal Company initiating Supply Chain Finance, Topic 02: Corporate Buyer Size, Topic 03: Credit Rating, Topic 04: Direct vs. Indirect Spend, Topic 05: Stakeholders
Topic 01: Overview, Topic 02: Assessment Current State, Topic 03: Goals - Supply Chain Risk, Topic 04: Goals - Working Capital and Margins, Topic 05: Goals - Initiatives I, Topic 06: Goals - Initiatives II
Topic 01: What are Corporates Looking For?, Topic 02: Platform Examples, Topic 01: What are Corporates Looking For? - Part I, Topic 02: What are Corporates Looking For? - Part II, What are the main steps for a corporate in his SCF journey from first interest, to implementation, to suppliers trading their receivables for early payment?, Topic 01: Examples, Topic 02: Example: Pre-Sales Analysis (Brown-Forman), Topic 03: Importance of Pre-Sales Analysis
Topic 01: How is Revenue Generated & Priced?, Topic 01: What Have You Learned So Far?, Topic 01: Process, Topic 02: Supplier Selection Criteria, Topic 03: Example Analysis Buyer and Supplier, Topic 04: Spreadsheet Examples, Topic 01: Process, Topic 02: Example
Topic 01: Key Roles, Topic 01: Onboarding Process, Topic 02: Introduction to Trading Partners, Topic 03: Onboarding Suppliers – Examples, Topic 04: Example of Bad Communication, Topic 05: Educating Trading Partners, Topic 06: Registration of Trading Partners, Why is the usage of SCF from the supplier side low?, Topic 01: Buyer Consideration Part I, Topic 02: Buyer Consideration Part II, Topic 03: Accounting Example - Standard & SPV, Topic 04: Supplier/Seller Consideration, Topic 05: Abengoa, Whiteboard Discussion: Deep dive into the relationship between the supplier and buyer
Course: Goldman Sachs 10,000 Women के साथ, निधिकरण के मूल सिद्धांत
Modules:
स्वागतम्, पूर्व-छात्राओं के निधिकरण के अनुभव, अधिग्रहण (एक्वीजीशन) के बारे में सोचना, वित्त व्यावसायिक नवप्रवर्तन में कैसे सहायता कर सकता है?, वित्तीय प्रालेख क्यों महत्वपूर्ण है?, निधिकरण के प्रकार
Course: Sécurité informatique et dangers du numérique
Modules:
Présentation du cours, La triade de la CIA, Termes essentiels en matière de sécurité, Logiciels malveillants, Logiciels malveillants, suite, Attaques de réseau, Déni de service, Attaques côté client, Attaques par cassage de mot de passe, Attaques trompeuses
Cryptographie, Cryptographie symétrique, Algorithmes de chiffrement symétrique, Rob : le travail d'un ingénieur en sécurité, Cryptographie asymétrique, Cryptographie symétrique, 2e partie, Algorithmes de chiffrement asymétrique, Hachage, Algorithmes de hachage, Algorithmes de hachage (suite), Infrastructure à clé publique, Certificats, La cryptographie en action, Sécurisation du trafic réseau, Matériel cryptographique, Rejection
Bonnes pratiques d'authentification, Authentification multifactorielle, Options d'authentification multifactorielle, Certificats, 2e partie, RADIUS, Kerberos, TACACS+, Authentification unique, Rob : mon parcours vers l'informatique, Méthodes d'autorisation et de contrôle des accès, Contrôle des accès, Liste de contrôle des accès, Suivi de l'utilisation et des accès, Rob : compétences importantes en matière de sécurité
Bonnes pratiques pour le durcissement réseau, Durcissement matériel de réseau, Durcissement logiciel de réseau, Joe : mon obstacle personnel, Le chiffrement WEP et les raisons pour lesquelles vous ne devriez pas l'utiliser, Débarrassons-nous du WEP !, WPA2, Durcissement réseau sans fil, Heather : l'impact de l'ingénierie sociale, Reniflage réseau, Wireshark et tcpdump, Systèmes de détection/prévention des intrusions
Présentation de la défense en profondeur, Désactivation des composants inutiles, Pare-feu basé sur l'hôte, Journalisation et audit, Protection contre les logiciels malveillants, Chiffrement de disque, Heather : l'auto-apprentissage est la clé du succès, Gestion des correctifs logiciels, Règles d'application
Objectifs de sécurité, Mesurer et évaluer les risques, Règles de confidentialité, Habitudes de l’utilisateur, Sécurité tierce, Formation à la sécurité, Alex : qualités d'un candidat en informatique, Création de rapports et analyse des incidents, Réponse aux incidents et reprise, Sécurité et confidentialité sur mobile, Amir : conseils pour les entretiens, Ari : conseils pour les entretiens, Jeu de rôle d'entretien : sécurité, Évaluation finale, Bien se présenter, Félicitations !
Personnaliser votre CV pour l'assistance IT, Trouver votre voie et votre poste idéal, Image de marque personnelle, Recruteurs, chasseurs de têtes et agences de recrutement, Écrire une lettre de motivation, Premier pas avec LinkedIn, Obtenir des entretiens, Informations complémentaires sur l'élaboration d'un argumentaire personnel, Poser des questions lors des entretiens, Se préparer aux entretiens avec Interview Warmup, Négocier un contrat avant d'accepter une offre, Syndrome de l'imposteur, Bonnes pratiques de télétravail, Surmenage, Créer un plan d'évolution de carrière, Obtenir une promotion, Carrières techniques associées, Compétences socio-émotionnelles, Diversité, inclusion et biais, Compétences avancées dans le domaine de la communication
Course: Hacer negocios con multinacionales y empresas en América Latina
Modules:
Introducción al curso multilatinas y empresas latinoamericanas, ¿Cómo las multilatinas crean ventaja competitiva?, El poder de una marca, La tecnología para potenciar la ventaja competitiva
Ecopetrol y la sostenibilidad del negocio de los hidrocarburos a futuro, Estrategia, recursos naturales y condiciones del entorno país, Grupos económicos en América Latina, Política industrial moderna en América Latina, El rol del Estado en el desarrollo de América Latina
El proceso de internacionalización al detalle, Desde Colombia para el mundo: el caso de Avianca, Modos de entrada, El crecimiento acelerado de las multinacionales asiáticas
Emprendimiento de alto impacto, tecnología y sostenibilidad en América Latina, Endeavor: emprendimiento de alto impacto en América Latina, Un unicornio tecnológico que transforma el consumo en las ciudades, El impacto social y ambiental de las empresas en América Latina, Estrategias de sostenibilidad y emprendimiento en una multilatina: Grupo Bimbo, Industrias creativas en América Latina, Despedida al curso
Course: Internet of Things: How did we get here?
Modules:
Welcome to the Internet of Things Specialization!, Capstone 1: Sonification of Movement, Capstone 2: Healthcare Remote Monitoring, Qualcomm talks about the course
Module 1 Overview, Introduction to Lesson 1, We love to talk, Birth of the Telephone, Control Plane, Data Plane, Introduction to Lesson 2, Broadcast Innovations, Broadcast Industry, Content is King, Introduction to Lesson 3, Sampling: Analog <-- --> Digital, Audio and Speech Coding, Shannon: Information Theory, Transistor, C and UNIX, Introduction to Lesson 4, Regulated Monopoly, Breakup of AT&T, Impact on Research
Module 2 Overview, Introdution to Lesson 1, CS and PS (Control Switched and Packet Switched), Brief History, TCP / IP Protocol, Open Standards, Introduction to Lesson 2, Email, Browser, Introduction to Lesson 3, Voice over RTP/UDP/IP or VoIP, Broadcast / Multicast
Module 3 Overview, Introduction to Lesson 1, Data Plane, Control Plane, Introduction to Lesson 2, The Big 5, Power Shift, Introduction to Lesson 3, Message Machine, Interactive Voice Response, Call Centers, Introduction to Lesson 4, What happened to the dial tone?, The 911 Fiasco, Hackers get into your phone
Module 4 Overview, Introduction to Lesson 1, Why would someone want to walk around with a phone?, AT&T almost missed the boat!, Introduction to Lesson 2, Leveraging Telephony Infrastructure for Mobility, Billing and Prepaid, Introduction to Lesson 3, Get more spectrum, Improving Spectral Efficiency, Reduce data rate for each voice call, 3G and 4G evolution, Introduction to Lesson 4, WiFi, Bluetooth, Other low power radios, Introduction to Lesson 5, Telephony 1-to-1, Broadcast 1-to-N, Sensor Networks N-to-1, A platform for IoT
Module 5 Overview, Introduction to Lesson 1, Solutions Looking for Problems, Unintended Consequences, Phones get GPS, Phones get Cameras, accelerometers, etc, Voice is not the killer app?
Introduction to Lesson 1, IoT: What the heck is it?, Build your own IoT, Specialization in a Nutshell, Introduction to Lesson 2, IoT: mHealth, IoT: Smart Homes, IoT: Automotive
Course: Edge Computing Fundamentals
Modules:
Welcome to the Course!, Introduction to Edge Computing, Roles and Functions of Edge Communication Technologies, Types of Devices and Sensors in Edge Computing, Overview of Edge Computing Technologies, Software Platforms and Services for Edge Computing
Exploring Diverse Applications of Edge Networks in Healthcare, Exploring Diverse Applications of Edge Networks in IoT, Exploring Diverse Applications of Automation, Edge Network Challenges, More Edge Network Challenges
Key Principles of Cybersecurity, Key Principles of Cybersecurity continued, Intrusion Detection and Prevention in Edge Networks, Essential Security Protocols for Edge Networks, Data Flow in Edge Networks: From Device to Cloud, Edge Network Privacy
Course: Python بُنى بيانات
Modules:
فيديو ترحيبي - د. تشاك, 6.1 - السلاسل, 6.2 - معالجة السلاسل, تمرين عملي: 6.5, الإضافي: مواعيد العمل بمدينة نيويورك, الإضافي: متحف موناش لتاريخ الحوسبة, تسلية: مؤلفو الكتاب النصي يفون بمتطلبات مؤتمر @PyCon
عرض توضيحي: استخدام Python Playground, نظام التشغيل Windows 10: تثبيت Python وكتابة البرامج, نظام التشغيل Windows: أخذ لقطات للشاشة, Macintosh: استخدام Python وكتابة البرامج, Macintosh: أخذ لقطات للشاشة
7.1 - الملفات, 7.2 - معالجة الملفات, عرض توضيحي: تمرين عملي 7.1, موارد إضافية: مواعيد العمل في برشلونة, موارد إضافية: جوردن بيل - بناء كتل الحوسبة
8.1 - القوائم, 8.2 - معالجة السلاسل, 8.3 - السلاسل, تسلية: قوائم Python في باريس, تمرين عملي: القوائم, موارد إضافية: مواعيد العمل - شيكاغو, موارد إضافية: راسموس ليردورف - اختراع لغة PHP
9.1 - القواميس, 9.2 - الحساب باستخدام القواميس, 9.3 - القواميس والملفات, تمرين عملي: القواميس, موارد إضافية: مواعيد العمل - أمستردام, موارد إضافية: بريندان أيتش - اختراع Javascript, تسلية: د. تشاك يذهب إلى سباق "موتوركروس"
10 - المجموعات, تمرين عملي: المجموعات والفرز, موارد إضافية: مواعيد العمل - بويبلا، المكسيك, موارد إضافية: جون ريسينج - اختراع JQuery, دوجلاس كروكفورد: JavaScript Object Notation (JSON), تسلية: أعظم تاكو في العالم
حفل التخرُّج, د. تشاك - الختام/ما التالي
Course: Introducción al estudio de los bienes comunes
Modules:
Temas, ¿Cómo se construyen los problemas de estudio?, Exclusión, Anexo exclusión y sustractabilidad, Apropiación y provisión, Anexo apropiación y provisión, ¿Por qué son frágiles los RUC?
Teoría de la elección racional, Tipos de regímenes de propiedad, Los tipos de derechos más allá de la alienación, Anexo, Derechos e incentivos para la sustentabilidad de los bienes
Las instituciones como reglas en uso, Principios de solidez institucional, Anexo solidez institucional
Comunidades y grupos de usuarios, Confianza y capital social, Acción colectiva, cooperación y costos de transacción, Atributos de los grupos de usuarios y solidez institucional
Course: Introduction to Food and Our Environment
Modules:
Introduction to Food and Our Environment, How Can Sustainable Eating Protect Our Health and the Health of the Planet?, What Is Sustainable Eating?, Why is Protein at the Center of the Debate?
Grandma Knows Best, Meat, Dinner at Mrs. G's, Many Kinds of Milk, The Milkman
Wild-Caught Seafood, Farmed Fish and Seafood, The Chicken or the Egg?
Eating Local, Packaging and Reducing Food Waste, The Future of Food
Course: Intro to Improving the Patient Experience Through Analytics
Modules:
Course Introduction, Meet Your Faculty: Craig Johnson, Meet Your Guest Speaker: Lisette Roman, Experience Management Analytic Framework (Population Lens), Module Introduction, Discussing the Making Care Fit Manifesto, We Are Being Left Stranded At Home, Impact of CMS 5-Star Quality Rating System, Introduction to CAHPS, Experience Journey Map
Module Introduction, Smart vs. Big Data, Social Drivers of Health Outcomes and Perceptions, Dark Data and Bias, Traditional vs Nontraditional Data Sources
Module Introduction
Predictions, Insights and Recommendations (CAHPS)
Course: Medical Technology and Evaluation
Modules:
1.1.1 Welcome to the Medical Technology and Evaluation Course, 1.1.2 About Your Instructor, Eric Barrette!, 1.2.1 Introduction to the medical technology clients, 1.2.2 The unique need for medical technology assessment, 1.2.3 How do new technologies impact health care expenditures?, 1.3.1 The new technology regulatory environment, 1.3.2 Pharmaceuticals Regulation, 1.3.3 Medical Device Regulation, 1.4.1 Government vs. Private Payers, 1.4.2 Inpatient Hospital Payments, 1.4.3 Prescription Drug Payments
2.1.1	Introduction to Clinical Trial, 2.1.2	The Role of Randomization, 2.1.3	Blinded Designs, 2.2.1	Introduction to Administrative Data, 2.2.2	Elements of Claims Data, 2.2.3 Sources of Claims Data, 2.3.1	Bias in Data, 2.3.2	Combining Trial Data, 2.3.3	Using Claims Data
3.1.1	The Types and Uses of Assessments, 3.1.2	CEA vs CUA, 3.1.3	Resources, 3.2.1	Introductions to Costs, 3.2.2	Costing, 3.2.3	Considerations, 3.3.1	Benefits, 3.3.2 Quality Adjusted Life Years (QALYs), 3.3.3 Measuring Quality of Life (QoL)
4.1.1	Uses of CEA, 4.1.2	Constructing an ICER, 4.1.3	Interpreting an ICER, 4.2.1	Baye’s Rule, 4.2.2	Discounting, 4.2.3	Decision Models, 4.3.1	Introduction to Uncertainty, 4.3.2	Monte Carlo Simulation, 4.3.3	Markov Models
Course: Introdução à Ciência e Engenharia de Dados
Modules:
Introdução, O que é a Ciência De Dados, Princípios da Ciência de Dados, Processos da Ciência de Dados, Processos de Tomada de Decisão, O Profissional da Ciência de Dados
O que é Big Data?, Características do Big Data, Tipos de Dados, Benefícios e Desafios do Big Data, Engenharia de Dados, Aplicações de Big Data no Mercado
O que é Mineração de Dados, Etapas da Mineração de Dados, Técnicas de Mineração de Dados, Por que Utilizar Mineração de Dados?, Vantagens e Desafios da Mineração de Dados, Ferramentas para Mineração de Dados
Empresas Orientadas a Dados, Ciência de Dados Aplicada a Negócios, Ciclo de Vida da Ciência de Dados, Cultura Data Driven, Aplicações em Negócios, Encerramento
Course: C++ Object Basics: Functions, Recursion, and Objects
Modules:
Navigating Codio Assignments, Function Basics Lesson Notes (Optional Download), Parameters Lesson Notes (Optional Download), Variable Scope Lesson Notes (Optional Download), Returning Values Lesson Notes (Optional Download), Functions Lab (Review and Practice) Lesson Notes (Optional Download), How to Reset an Assignment in Codio
What is Recursion? Lesson Notes (Optional Download), Recursion Lab (Review and Practice) Lesson Notes (Optional Download)
Classes and Objects Lesson Notes (Optional Download), Intro to Objects Lab (Review and Practice) Lesson Notes (Optional Download)
Changing Objects with External Functions, Changing Objects with Class Functions, Mutability Lab (Review and Practice) Lesson Notes (Optional Download)
Course: Effective Communication for Project Stakeholders and Teams
Modules:
1.1.0 The Transmission Model of Communication Video, 1.2.0 The Emergence Model of Communication Video, 1.3.0 Project Management Communication - Tasks, Resources and Schedules Video, 1.4.0 Project Management Communication - Visioning and Building a Team Video
2.1.0 Case for Audience Analysis Video, 2.2.0 The Different Audiences in a Project Video, 2.3.0 What Information Does Each Audience Need Video, 2.4.0 Balancing the Understanding Triad in Your Message Video, 2.5 Module Five - Putting It All Together With Building Blocks Video
3.1.0 The Building Blocks of a Message & Understanding Triad Video, 3.2.0 What is Understanding - Know-What Video, 3.3.0 What is Understanding - Know-How Video, 3.4.0 What is Understanding - Know-Why Video
4.0.0 Audience Analysis Historical Case Study Video, 4.1.1 Module One - The Different Audiences in a Program or Project Video, 4.2.0 Module Two - What Information Does Each Audience Need Video, 4.3.0 Module Three - Balancing the Understanding Triad in Your Message Video, 4.4.0 Module Four - Troubleshooting Understanding Video
Congratulations! Now How About a Quick Retro...?, Continue Your Education with UMD!, Don't Forget to Claim You Some PDUs!, Five Stars Please :)
Course: La enseñanza de las Ciencias Naturales en la escuela primaria
Modules:
Universidad Austral, Introducción al enfoque, Las preguntas en la ciencia, ¿Cómo promover un rol activo de los estudiantes en las clases de ciencias?
¿Qué es una teoría científica y cómo llega al aula?, Lo que sí sabemos, las teorías científicas, La historia de la ciencia como recurso de enseñanza
Habilidades de pensamiento científico, Aprender a observar y otras habilidades relacionadas, ¿Cómo se diseña un experimento?
¿Dónde se hace ciencia?, ¿Quiénes son científicos y cómo acercarlos a los estudiantes?, Ciencia y comunidad
Course: Fundamentals of Ansible
Modules:
Introduction, Ansible Capabilities, Ansible Architecture
Ansible Configuration Files, Creating a Basic Ansible Inventory
Ansible Playbooks, Working with YAML
Working with Variables
Red Hat Enterprise Linux System Roles, Automating with Modules
Using Handlers, Using Conditionals, Conclusion
Fundamentals of Ansible