dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Alfabetização Midiática, Informacional e Diálogo Intercultural - UNESCO e UNICAMP
Modules:
Alfabetizaçao e letramento midiático, informacional e diálogo intercultural
Introdução, Os conteúdos de mídia e de informação são cuidadosamente planejados, A mídia e outros veículos de informação costumam realçar diferentes aspectos da realidade, Cada forma de mídia constrói mensagens de acordo com um único conjunto de regras, Toda a mídia é dirigida por fatores econômicos, políticos e sociais., A audiência interpreta significados na mídia baseada na sua educação e experiências pessoais, Desenvolvendo um diálogo intercultural significativo
Seu Ramiro e a comunidade Sacarabiá em Rolim de Moura do Guaporé - RO
Produção de conteúdo audiovisual no contexto Indígena
O uso da internet na aldeia e venda de imagens
Representações de gênero na mídia, nos livros, na internet e na História
Introdução, Liberdade de Expressão, Éticas da Mídia e da Informação, Mídia e Informação, Negócios e Política, Mídia e Informação e Desenvolvimento
Introdução, Exemplos de auto regulação da indústria publicitária:, Quais métodos os anunciantes usam para nos persuadir?, Publicidade Comercial, Propaganda Política, Marketing Social, Como a indústria da publicidade usa a mídia tradicional e a nova?, Como a sociedade civil confronta e usa a indústria da publicidade para seus próprios interesses?
A Escola na comunidade de Rolim de Moura do Guaporé - RO
Engajando com a mídia e usando novas tecnologias, Equipe MIL MOOC Português falando sobre o curso
Course: Introduction to Relational Databases
Modules:
Course Overview, Instructor Welcome, Introduction to Relational Databases, Database Application, Example Database Healthcare Management, Relational Database Management Systems, The Relational Model
Relational Algebra Intro, Relational Algebra Concepts, Relational Algebra Basic Operations, Relational Algebra Joins, Relational Algebra Transforming Data, Relational Algebra Division, Relational Algebra Modification
Introduction to SQL Language, SQL Operation: SELECT, SQL Operation: JOINs, Table Relationships, Complex Queries, Modifying Data, Data Definition Language: Tables, Referential Integrity, Data Definition Language: Index, Data Definition Language: Views, Access Control, Conclusion
Summative Course Assessment
Course: Managing for Frictionless Sales
Modules:
Introduction to the Program, Course Introduction Video, Careers in Sales and Customer Relationship Management, Weekly Introduction: Adopting a Frictionless Sales Mindset, Rethinking Sales with Frictionless Selling, Implementing the Frictionless Selling Framework, How BabeIQuest Fights Friction, Why Your Sales Team Needs to Be Enabled, Enabling Your Team, How EZ Text Enables Their Team, Why You Need to Align with Your Buyers, Aligning Your Team, How Usabilla Aligns with Their Buyers, Why Your Sales Team Needs to Be Coached, Transforming Your Sales Team through a Culture of Learning, Peer Coaching, How Engaging Partners Fosters a Culture of Learning, Weekly Review: Adopting a Frictionless Sales Mindset
Weekly Introduction:  Establishing a Sales Process, The Importance of Jobs to Be Done, Rethinking Your Competition, Uncovering Your Customers' Jobs, The Importance of Defining Your Sales Process, Defining Your Sales Process with the Buyer's Journey, Defining the Steps of Your Sales Process, How Long Should a Sales Process Take?, Creating Your Sales Playbook, Evaluating Your Sales Process, Weekly Review: Establishing a Sales Process
Weekly Introduction: Coaching and Growing a Sales Team, The Importance of Sales Training, Creating an Effective Sales Training Program, The Importance of Coaching Your Salespeople, 4 Steps to Building a Successful Sales Coaching Program, When to Coach vs. Fire Your Underperforming Reps, Weekly Review: Coaching and Growing a Sales Team
Weekly Introduction: Hiring and Onboarding Sales Reps, Why You Should Develop a Sales Hiring Strategy, Creating Your Sales Hiring Strategy, The Importance of Sales Onboarding, Creating a Sales Onboarding Program, Preparing for Job Search, Applying for Roles, Preparing for an Interview, Congratulations!
Course: Основи цифрового маркетингу та електронної комерції
Modules:
Вітаємо у програмі сертифікації Google у сфері цифрового маркетингу та електронної комерції, Вступ до 1-го тижня, Що таке цифровий маркетинг та електронна комерція?, Чим саме займаються фахівці з цифрового маркетингу та електронної комерції?, Універсальні навички для цифрового маркетингу та електронної комерції, Пріша: мій шлях до роботи в цифровому маркетингу, Ендрю: мій шлях до роботи в сфері цифрового маркетингу та електронної комерції, Старт кар’єри у сфері цифрового маркетингу та електронної комерції, Порівняння роботи фахівцем в агентстві та в штаті, Зурі: день із життя цифрового маркетолога початкового рівня, Джебб: день із життя менеджера з електронної комерції початкового рівня, Підсумки
Ласкаво просимо до тижня 2, Який внесок роблять цифровий маркетинг і електронна комерція, Джен – різноманітність у цифровому маркетингу, Дженіс – інклюзивний маркетинг, Ксіомара – інклюзивний маркетинг, Цикл взаємодії з клієнтом і карти циклу взаємодії, Маркетингова воронка, Верхівка воронки: поінформованість і розгляд, Оцінювання успіху на верхівці воронки, Низ воронки: конверсія та лояльність, Оцінювання успіху внизу воронки, Підсумки
Вітаємо з початком 3-го тижня, Цінність брендів для цифрового маркетингу, Елементи стратегії цифрового маркетингу, Визначення маркетингових цілей, Платні, власні та здобуті медіаканали, Залучення клієнтів за допомогою пошукової оптимізації, Залучення клієнтів за допомогою пошукового маркетингу, Знайомство з маркетингом у соціальних мережах та електронним маркетингом, Основи маркетингу в соціальних мережах, Формування взаємин з аудиторією за допомогою електронного маркетингу, Підсумки
Вітаємо вас із початком 4 тижня навчального курсу, Вимірювання ефективності реклами за показниками результативного маркетингу, Опрацювання даних, Моделі атрибуції для цифрового маркетингу, Основні компоненти презентації даних, Підготовка до пошуку роботи, Еллі: синдром самозванця, Підсумки, Вітаємо! Що очікує нас на 2-му курсі
Course: Experiments and Variations in Bipedalism
Modules:
Video: Introduction, Video: Lucy, Australopithecus afarensis, Video: Laetoli Footprints, Video: A Surprising New Discovery in Ethiopia, Video: Bipedal Variation in South Africa, Video: Australopithecus sediba - Discovery, Video: Australopithecus sediba - Walking Differently, Video: Australopithecus sediba - Hyperpronation, Video: Revisiting the March of Progress, Video: Bipedal Variation - An Introduction, Video: What Shoes Do to Our Feet, Video: Do Men and Women Walk Differently?, Video: The Speed at Which We Walk
Video: Introduction - Benefits of Being Bipedal, Video: It Takes a Village, Video: Stone Tools, Video: Introduction - Walking Around the World with Homo erectus, Video: Homo naledi and the Hobbit, Video: The Mystery Remains
Video: Introduction, Video: Learning to Walk - An Introduction, Video: Do We Have to Crawl Before We Walk?, Video: Why Do Toddlers Toddle?, Video: Skeletal Development, Video: Benefits of Walking - An Introduction, Video: Walking and Your Health, Video: Running - An Introduction, Video: Running is Not Fast Walking, Video: Running Adaptations, Video: The Evolution of Running
Video: Overview, Video: Evolutionary Trade-offs - The Vitruvian Man, Video: We Were Hunted, Video: Echoes From our Quadrupedal Past, Video: The Great Tinkerer, Video: Musculoskeletal Costs of Bipedalism - The Back, Video: Musculoskeletal Costs of Bipedalism - The Pelvis, Video: Musculoskeletal Costs of Bipedalism - The Foot, Video: Foot Maladies: Duct Tape and Paper Clips, Video: Foot Maladies Just Good Enough, Video: Caring for One Another
Course: Generative AI: Business Transformation and Career Growth
Modules:
Course Introduction, Generative AI: Trends and Impacts, The Rise of Generative AI for Business, Elevating Businesses through Generative AI, An Ecosystem of Generative AI Providers, Impact of Generative AI on Different Industries
Career Opportunities in Generative AI, Enhancing Your Career with Generative AI, Generative AI for Content Creators, Generative AI for IT Professionals, Generative AI for Leaders and Managers, Demo - Creating Custom GPTs
Congratulations and Next Steps, Thanks from the Course Team
Course: The PL-900 Practice Exam
Modules:
Specialization recap, Congratulations!
Course: Transforming with Data Analytics and Organization
Modules:
1.1.0 The Case for Digital Transformation Video, 1.2.0 What are the New Digital Technologies Video, 1.3.0 Why Digital is More Than the Technology Video, 1.4.0 Customer Experience is the Heart of Digital Transformation Video, 1.5.0 Assessing Your Organization for Digital Transformation Video
2.1.0 What are Dynamic Capabilities? Video, 2.2.0 Finding Your Organization's Dynamic Capabilities - Video, 2.3.0 Building Digital Dynamic Capabilities - Video, 2.4.0 Building Networks of Dynamic Capabilities - Video, 2.5.0 Dynamic Capabilities Case Study - Video
3.1.0 What is a Fitness Landscape? - Video, 3.2.0 Dynamic Capabilities and the Fitness Landscape Video, 3.3.0 Blending Data Analysis Technologies with Social Technologies - Video, 3.4.0 Evaluating Your Fitness Landscape Business Model - Video, 3.5.0 Profiling Your Competition's Fitness Landscape Business Model - Video
4.1.0 Strategic Foresight Case Study - Video, 4.2.0 Scanning Your Organization's Environment - Video, 4.3.0 Preparing and Facilitating the Scenario Planning Workshop - Video, 4.4.0 Using Scenarios in Strategic Planning - Video, 4.5.0 Building the Digital Enterprise Business Model with Dynamic Capabilities, Fitness Landscapes, and Strategic Foresight - Video
Congratulations! Now How About a Quick Retro...?, Don't Forget to Claim You Some PDUs!, Continue Your Education with UMD!, Five Stars Please :)
Course: Maven and SonarQube for DevOps Engineers - Beginners Guide
Modules:
Maven Introduction, Topics Covered, What is Maven, How Maven Helps a DevOps Engineer, Resource to Start
About This Section, Java Installation on Windows, Eclipse Installation, Create Your First Maven Project, Maven Coordinates, Default Directory Structure, Steps Involved in Building a Java Project, Maven Goals, Maven Goals in Action
What is pom.xml and How It Works, Transitive Dependency, Maven Repositories, Maven Goals - Deploy Goal for Local Repository, Push Maven Project onto GitHub
Prepare Maven Server, Prerequisites to Set Up Maven, Set Up Maven, Build Maven Project on Linux, Common Maven Goals, Create a Project with Maven Archetype, Plugins and Dependencies in pom.xml, Settings.xml File, Tomcat Server Configurations, Deploy War on Tomcat Server
Maven in DevOps Workflow, Set Up Jenkins Server, Add Maven Build Server as an Agent to Jenkins, Build a Java Project on Agent Server, Build a War File on Agent Node (Maven Server)
Introduction to SonarQube, SonarQube Installation on EC2, SonarQube Console Overview, SonarQube Installation with PostgreSQL Database, SonarQube Integration with Jenkins
Create an AWS account, Install Git Bash, Install MobaXterm, Install Tomcat, Bonus Lecture
Course: Advanced Microsoft Power BI
Modules:
Course Introduction, Installation of Power BI Desktop and Service, Analyzing the Scenario, Transformations - Adjusting the Data, Transformations - Adding New Data, Transformations - Sorting New Data, Overview of Power BI Service, Power BI Service I: Loading Data, Power BI Service II: Manipulating Visuals, Power BI Service III: Creating Reports, Power BI Service IV: Publishing Reports, Power BI Service V: Dashboarding, Power BI Service VI: AI Insights, Scorecard, Key Features of Scorecard, Creation of Scorecard, Demonstration of Scorecard, Binary Prediction - Setting up the Model, Binary Prediction - Execution, Course Summary of Advanced Microsoft BI
Course: Architecting with Google Kubernetes Engine: Workloads 한국어
Modules:
과정 소개
소개, Kubectl 명령어, 점검, 실습 소개, Google Cloud Platform 및 Qwiklabs 시작하기, 실습 소개, 요약
모듈 소개, 배포, 배포 생성 방법, 서비스 및 확장, 배포 업데이트, 순차적 업데이트, 블루-그린 배포, 카나리아 배포, 배포 관리, 실습 소개, 작업 및 CronJob, 병렬 작업, CronJob, 실습 소개, 클러스터 확장, 축소, 노드 풀, 포드 배치 제어, 어피니티 및 안티어피니티, 포드 배치 예시, taint 및 톨러레이션(toleration), 클러스터에 소프트웨어 포함, 실습 소개, 요약
소개, 포드 네트워킹, 서비스, 서비스 찾기, 서비스 유형 및 부하 분산기, 부하 분산기 작동 방식, 인그레스 리소스, 컨테이너 기반 부하 분산, 네트워크 보안, 실습 소개, 실습 소개, 요약
소개, 볼륨, 볼륨 유형, 볼륨 유형 2, PersistentVolume 추상화, PersistentVolume에 관한 자세한 정보, StatefulSet, 실습 소개, ConfigMap, 보안 비밀, 실습 소개, 요약
Course: Gemini for Application Developers - Deutsch
Modules:
Wir stellen vor: Gemini für Anwendungsentwickler, Anwendung mit Unterstützung durch Gemini entwickeln, Node.js mit Gemini bereitstellen
Course: Mandarin Chinese for Intermediate Learners: Part 3
Modules:
请下来拿快递 Please come down and pick up your parcel
艾米丽的日记 Emily's Diary, Cultural appreciation 文化赏析
我买回来一些粽子 I bought some traditional Chinese rice pudding
艾米丽的日记 Emily's Diary, Cultural appreciation 文化赏析
想不出来她长什么样 I cannot imagine what she looks like
马克的日记 Mark's Diary, Cultural appreciation 文化赏析
我也希望举办一场中式婚礼 I would like to have a Chinese wedding, too
艾米丽的日记 Emily's Diary, Cultural appreciation 文化赏析
我要去美国做汉语老师了 I will go to America to be a Chinese teacher
马克的日记和艾米丽的日记 Mark and Emily's Diary, Cultural appreciation 文化赏析
Course: IBM Cybersecurity Analyst Assessment
Modules:
IBM Cybersecurity Analyst Professional Certificate Practice Exam, IBM Cybersecurity Analyst Professional Certificate Assessment Exam Prep, Continue your Training
Course: Amazon Connect: Introduction to the Administrative Interface
Modules:
Amazon Connect: Introduction to the Administrative Interface
Course: Applying Systems Engineering to the Design Process
Modules:
Introduction to the Specialization and Instructor, Requirements Analysis and Management, Specifications, Requirements Verification Cross Reference Matrix, Technical Measurement, Using TPMs
Design Reviews - General, Design Reviews - The Big Three, Audits, TRA - the DoD Version
Design for Manufacturing (DFM), Manufacturing Readiness Levels, Trade Studies - The Process, A Trade Study Example, Cost as an Independent Variable (CAIV)
Software Systems Engineering, Other Engineering Disciplines
Teaming Organization, Leadership
Course: Proyecto final de Músico moderno
Modules:
Desarrollo de la canción
Plan de producción
Grabar y editar la canción
Mezclar y masterizar
Course: Get Interactive: Practical Teaching with Technology
Modules:
Introductory video, Welcome to Week 1, Creating a screenshot using Snipping Tool, Adding an image to a Moodle course, Embedding a video in a Moodle course, Panel Discussion Part 1: Images and Twitter, Panel Discussion Part 2: Using Video, Panel Discussion Part 3: Audio and podcasts, End of Week 1
Welcome to Week 2, Take it further: Creating a wiki for a course, Online presentation tools, Panel Discussion Part 1: Blogs, wikis and Padlet, Panel Discussion Part 2: Forums and Webinars, End of Week 2
Welcome to Week 3, Creating an Online Quiz in Moodle, Creating a Twitter Poll, Creating a Digital Badge, Panel Discussion Part 1: Quizzes, Polls and Badges, Panel Discussion Part 2: Avoiding Plagiarism, Panel Discussion Part 3: Peer Review, End of Week 3
Course: Implementing an SAP Solution
Modules:
Course & Instructor Introduction, Introduction to SAP Implementation Lifecycle: Implementing an SAP Solution, RISE with SAP Overview, Implement, Testing and Monitoring
Introduction to Preparing for Implementation and Testing, Understanding System Environments, Preparing System Environments for Implementation, Planning and Sourcing Test Data, Cleaning and Preparing Test Data, Setting Up Test Environments and Processes, Automating System Environment Management, Leveraging Automation Tools
Introduction to Deploy the Technical Solution, Setting up Baseline Configurations and Integrations, Deploy the Technical Solution Design, Preparing for and Conducting Dress-Rehearsal
Introduction to Designing and Performing Testing, Writing a Test Plan, Developing Test Scripts, Performing Testing, Documenting Testing and Incorporating Findings
Introduction to Going Live and Monitoring Production Systems, Go Live Activities, Monitoring Systems in Production, Post Implementation Support, Conducting a Post-Implementation Review, Operational Handover and Project Wrap-Up
Introduction to the Hands-on project, Project Overview: Implementing an SAP Solution
Course: 高效协作
Modules:
1.1 课程介绍, 1.2 与前面课程的关系, 1.3 协作是社会进化的方向, 1.4 协作的核心是信息传递, 1.5 建立系统才是高效的秘诀, 1.6 知识工作自动化, 1.7 协作的维度与信息流
2.1 流程化是高效之本, 2.2 专家和菜鸟的区别, 2.3 学习的流程, 2.4 知识的输出带动知识的输入, 2.5 稍后读工具pocket简介, 2.6 文件管理, 2.7 Everything and Listery, 2.8 Listary简介, 2.9 持续改进
3.1 打造高效工作体系, 3.2不同智能终端的定位, 3.3 多终端协同的思路, 3.4 云端存储简介, 3.5 百度云简介, 3.6 坚果云简介, 3.7 不同设备之间文件共享, 3.8 手机或平板投影, 3.9 照片的自动化管理, 3.10 远程访问与控制, 3.11 知识工作自动化工具IFTTT, 3.12 工作系统
4.1 团队协作的工具, 4.2 团队的知识共享, 4.3 实时多人协作的工具, 4.4 谷歌文档基本功能简介, 4.5 谷歌文档与多人协作, 4.6 石墨文档与多人协作, 4.7 一起写简介, 4.8 有道云笔记、有道云协作, 4.9 Office Online & Zoho, 4.10 课程小结
Course: Reproducible Research
Modules:
Introduction, What is Reproducible Research About?, Reproducible Research: Concepts and Ideas (part 1), Reproducible Research: Concepts and Ideas (part 2), Reproducible Research: Concepts and Ideas (part 3), Scripting Your Analysis, Structure of a Data Analysis (part 1), Structure of a Data Analysis (part 2), Organizing Your Analysis
Coding Standards in R, Markdown, R Markdown, R Markdown Demonstration, knitr (part 1), knitr (part 2), knitr (part 3), knitr (part 4), Introduction to Course Project 1
Communicating Results, RPubs, Reproducible Research Checklist (part 1), Reproducible Research Checklist (part 2), Reproducible Research Checklist (part 3), Evidence-based Data Analysis (part 1), Evidence-based Data Analysis (part 2), Evidence-based Data Analysis (part 3), Evidence-based Data Analysis (part 4), Evidence-based Data Analysis (part 5)
Caching Computations, Case Study: Air Pollution, Case Study: High Throughput Biology, Commentaries on Data Analysis, Introduction to Peer Assessment 2
Course: 로봇공학: 캡스톤 디자인
Modules:
캡스톤 디자인 개요 및 프로젝트 선택, 이동식 도립 진자(MIP) 과정에 대한 개요, 자율주행 자동차(AR) 과정에 대한 개요
A1.1 동역학 시뮬레이션을 위해 MATLAB 사용하기, (복습) 다익스트라 알고리즘
(복습) 뉴턴의 법칙; 감쇠 및 비감쇠, (복습) 공간 속 점입자용 PD 제어, A2.1 2차 시스템용 PD 제어, (복습) 레볼루트-레볼루트(RR) 팔을 통한 미소 기구학 학습, B2.1 자율자율주행 자동차(AR) 구축하기, B2.6 Raspberry Pi에 연결하기
(복습) 확장형 칼만 필터, A3.1 EKF를 이용해 IMU에서 스칼라 방향 구하기, B3.1 교정하기, B3.2 카메라 교정하기, (복습) 회전 및 이동, B3.4 동체에 대해 카메라 교정하기, B3.5 에이프릴 태그 소개
(복습) 라그랑주 역학, A4.1 이동식 도립 진자(MIP) 모델링하기, (복습) 2D 쿼드콥터 제어, B4.1 자율주행 자동차용 제어기 설계하기
(복습) 선형화, A5.1 MIP 시스템의 로컬 선형화 및 선형화 제어, (복습) 칼만 필터 모델, (복습) 확장형 칼만 필터 모델, B5.1 자율주행 자동차에 확장형 칼만 필터 사용하기
(복습) 쿼드콥터의 운동 계획하기, A6.1 MIP 시스템의 피드백 운동 계획하기, B6.1 통합하기
Course: Цифровая трансформация
Modules:
Введение в курс, Неделя 1. Введение, Экспоненциальная эволюция технологий, Деконструкция цепочки создания ценности, Интервью с Филипом Эвансом о деконструкции цепочки создания ценности, Технологии имеют значение, Цифровая трансформация в компании Pitney Bowes, Интервью с генеральным директором Pitney Bowes Марком Лаутенбахом, Интервью с исполнительным вице-президентом Pitney Bowes и президентом по коммерческим услугам Лайлой Снайдер, Неделя 1. Заключение
Неделя 2. Введение, Взгляд с исторической точки зрения, Подрыв — это не новшество. Часть 1, Подрыв — это не новшество. Часть 2, Анализ среды и жизненный цикл конкурентоспособности, Жизненный цикл конкурентоспособности в деталях, Ответственность компаний-старожилов, Экономика инноваций, Просмотр портфеля, Неделя 2. Заключение
Неделя 3. Введение, Большие данные. Часть 1, Большие данные. Часть 2, Интервью с Джоном Роузом о доверии клиентов, Переход на облачные технологии. Часть 1, Переход на облачные технологии. Часть 2, Интернет вещей, Аддитивное производство. Часть 1, Аддитивное производство. Часть 2, Киберзащита. Часть 1, Киберзащита. Часть 2, Искусственный интеллект. Часть 1, Искусственный интеллект. Часть 2, Блокчейн. Часть 1, Блокчейн. Часть 2, Интервью с Николасом Харлом о блокчейне, Сочетание тенденций, Тур по Innovation Center for Operations компании BCG, Интервью с Мундиром Рашиди об индустрии 4.0, Неделя 3. Заключение
Неделя 4. Введение, Интервью с Томом Райхертом о модели BCG, Стратегия, основанная на цифровых технологиях, Цифровизация основных аспектов бизнеса. Часть 1, Цифровизация основных аспектов бизнеса. Часть 2, Интервью с Антуаном Гуревичем о цифровизации, Новые возможности для цифрового роста. Часть 1, Новые возможности для цифрового роста. Часть 2, Инновации и i.Lab Виргинского университета, Люди и организация, Интервью с Мартином Даноэсастро об Agile@Scale, Данные и аналитика. Часть 1, Данные и аналитика. Часть 2, Данные и аналитика в лондонском аэропорту Хитроу, Технологии, Интервью со Стефаном Мором о технологиях, Экосистемы, Интервью с Ральфом Драйшмайером о факторах успеха цифровой трансформации, Неделя 4. Заключение, Заключение курса
Course: CEH (v12) Practice Projects and Exam Simulators
Modules:
Problem Statement, Task 1, Task 2, Task 3, Task 4, Task 5, Task 6, Task 7, Task 8, Task 9, Task 10
Course: Hacking Exercise For Health. The surprising new science of fitness.
Modules:
Introduction: Who are these profs and should I care about this MOOC?, Week 1 Video 1 - What is fitness anyway?, Week 1 Video 2 - What is the exercise continuum?, Week 1 Video 3 - How to assess your own fitness, Week 1 Video 4 - How do you get the biggest bang for your exercise buck?
Week 2 Video 1 - What’s the most important number you have?, Week 2 Video 2 - Where do the Physical Activity Guidelines come from, anyway?, Week 2 Video 3 - How can you hack cardiorespiratory fitness?, Week 2 Video 4 - Why does H.I.T.T. work?, Week 2 Video 5 - Which burns more calories: Interval or Endurance Training?, Week 2 Video 6 - What are some interval workouts I can do at home?
Week 3 Video 1 - Can you hack strength training?, Week 3 Video 2 - What’s up with muscle fibre?, Week 3 Video 3 - Can we actually prompt our muscles to grow?, Week 3 Video 4 - What does protein have to do with muscles?, Week 3 Video 5 - How does one hack strength training?, Week 3 Video 6 - What should I consider as I design my own workouts?
Week 4 Video 1 - Which is better: cardio or strength training?, Week 4 Video 2 - What does a cardio & strength training workout actually look like?, Week 4 Video 3 - Can you design your own cardio & strength workout?, Week 4 Video 4 - How can exercise affect your mental health?, Week 4 Video 5 - Can't you get exercise in a pill?!, Week 4 Video 6 - What are our top ten tips to hack exercise for health?
Course: Oracle SQL Performance Tuning
Modules:
Introduction of the Author - Mandar Mulay, Introduction to Oracle SQL Performance Tuning - Part 1, Introduction to Oracle SQL Performance Tuning - Part 2, Introduction to Understanding Necessity of SQL Tuning, Understanding Demography of Tables 1 - Part 1, Understanding Demography of Tables 1 - Part 2, Understanding Demography of Tables 2, Char Vs Varchar - Part 1, Char Vs Varchar - Part 2, All 6 clauses of Select Statement - Part 1, All 6 clauses of Select Statement - Part 2, All 6 clauses of Select Statement - Part 3, The Flow of Clauses Execution, Performance Impact of Where vs Having Clause - Part 1, Performance Impact of Where vs Having Clause - Part 2, Performance impact of Distinct, Group By and Count - Part 1, Performance impact of Distinct, Group By and Count - Part 2, Benefits of Exists Operator 1, Benefits of Exists Operator 2
Introduction to Query Optimization Techniques, Compilation and Execution Part 1, Compilation and Execution Part 2, Compilation and Execution Part 3, Bind Variables 1, Bind Variables 2, Explain Plan part 1, Explain Plan part 2, AutoTrace Part 1, AutoTrace Part 2
Introduction to Indexing Strategies, Introducing Indexes 1, Introducing Indexes 2, Introducing Indexes 3, Bitmap Index Part 1, Bitmap Index Part 2, B-Tree Index Part 1, B-Tree Index Part 2, Composite Index 1, Composite Index 2, Function-Based Index part 1, Function-Based Index part 2
Introduction to Performance Tuning Tools and Techniques, Understanding Hints Part 1, Understanding Hints Part 2, Understanding Hints Part 3, Inline Views Part 1, Inline Views Part 2, Temporary Tables 1, Temporary Tables 2, Common Table Expression Part 1, Common Table Expression Part 2, Materialized Views - Part 1, Materialized Views - Part 2, Materialized Views - Part 3, Materialized Views - Part 4, Conclusion to Oracle SQL Performance Tuning
Course: Fundamentos de la gestión de proyectos
Modules:
Bienvenido al Certificado en gestión de proyectos de Google, Introducción al curso 1, ¿Qué es la gestión de proyectos?, ¿Qué hace un gerente de proyectos?, Destrezas transferibles de la gestión de proyectos, Pasos para convertirte en gerente de proyectos, Desde el certificado hasta el éxito profesional, La búsqueda del puesto perfecto, Gilbert: Destrezas en gestión de proyectos en mi puesto, Cierre
Introducción: Convertirse en un gerente de proyectos eficaz, El valor de un gerente de proyectos, JuAnne: Pasos para convertirte en gerente de proyectos, Funciones y responsabilidades clave del gerente de proyectos, El rol de un gerente de proyectos dentro de un equipo, Elita: Un día en la vida de una gerente de proyectos, Las destrezas básicas de un gerente de proyectos, Rachel: Mi camino para convertirme en gerente de proyectos, Liderazgo y dinámica de equipo, Ellen: Características de un gerente de proyectos exitoso, Actividad de cierre
Introducción: El ciclo de vida y las metodologías de la gestión de proyectos, Exploración de las fases del ciclo de vida del proyecto, Fases en acción: Iniciación y planificación, Fases en acción: Ejecución y cierre, Introducción a las metodologías de gestión de proyectos, Introducción a las metodologías Waterfall y Agile, Introducción a Lean y Six Sigma, Actividad de cierre
Introducción: Estructura y cultura de una organización, Descripción general de las estructuras clásica y matricial, Cómo impacta la estructura de la organización en la gestión de proyectos, Lan: Trabajar en una oficina de gestión de proyectos, Introducción a la cultura de una organización, Amar: Gestión de proyectos en la vida y en la organización, Introducción a la gestión de cambios, Participar en la gestión de cambios, Prepararte para buscar empleo, ¡Felicidades! Lo que analizaremos en el Curso 2
Course: Asia Oriental en el s. XX: introducción desde la Historia
Modules:
Presentación del curso
Presentación de la semana, Definición de Asia Oriental, Guerra Chino-japonesa y la Segunda Guerra Mundial, Imperio Japonés en Asia Oriental, Imperio japonés antes de la rendición, Intervención soviética, División de Corea, La postguerra y el nuevo orden, Repatriación, Los conflictos en Asia Oriental después de la II Guerra Mundial, Entrevista a Blai Guarné Cabello, Entrevista a Mireia Vargas-Urpí
Presentación de la semana, La ocupación estadounidense en Japón, La constitución de 1947, Desarrollo económico de Japón, Los Juegos Olímpicos de Tokyo (1964), La economía japonesa durante los 70s y 80s, Terremotos y desastres naturales, Juegos Olímpicos de 2020, Japón, de cara al futuro, Entrevista a Albert Nolla Cabellos
Presentación de la semana, La Nueva China. Parte I, La Nueva China. Parte II, La China de Mao. Parte I, La China de Mao. Parte II, La China de Mao. Parte III, La muerte de Mao, Reforma y Apertura, Tiananmen, Transformación socioeconómica, Juegos Olímpicos de 2008, China, de cara al futuro, Entrevista a Manuel Pavón-Belizón, Entrevista a Roberto Figliulo
Presentación de la semana, La Guerra de Corea I, La Guerra de Corea II, República Popular Democrática de Corea, Kim Il-Sung y el culto al líder, República de Corea, El milagro del río Han, La Corea del Sur democrática, La crisis de 1997, Las dos Coreas de cara al futuro, Entrevista a Just Castillo Iglesias
Presentación de la semana, La Guerra Civil China, La retirada del régimen nacionalista a Taiwán, Régimen de Chiang Kai-shek, Terror Blanco, Relaciones con los EUA, El milagro económico, Cambio de las relaciones internacionales, La transición democrática, Taiwán de cara al futuro, Entrevista a Miguel Angel del Río Morillas, Despedida del curso
Course: Essentials of Prompt Engineering
Modules:
Essentials of Prompt Engineering
Course: 실용 머신 러닝 소개
Modules:
실용 머신 러닝 전문 과정 소개, 강사소개, 강좌 1 소개, 인공 지능과 머신 러닝이란 무엇인가요?, 데이터 과학이란 무엇인가요?, 머신 러닝 프로세스, 머신 러닝의 세 가지 종류, 분류: 무엇이고 어떻게 작동하는가?, 회귀: 회귀선과 예상 수치, 비지도 학습, 강화 학습, 주간 요약
일반화와 기계가 실제로 학습하는 방법, 로우 데이터의 특징 및 변형, 농부 베티의 정밀 농업 계획, QuAM을 이용할 때 고려해야 할 점, 광범위한 사례 좁히기, 비즈니스 평가 알아보기, 모든 것이 대리지표입니다, 주간 요약
훈련 데이터의 출처, 나는 얼마만큼의 데이터가 필요할까?, 윤리적 문제, 데이터 출처의 편향, 노이즈와 무작위성의 출처, 이미지 분류 사례, 데이터 정제: 모두가 가장 좋아하는 일, 데이터 파이프라인을 설정하는 이유, 주간 요약
MLPL 개요, 농부 베티의 MLPL, 문제 정의 과정 알아보기, 비즈니스에 사용할 QuAM 평가하기, QuAM의 강점을 기술적으로 평가하기, 틀린 것의 여러 가지 종류, 주간 요약
Course: Fundos de Investimento
Modules:
Vantagens e Desvantagens do Fundo de Investimento, Caracterização de Fundo de Investimento, Fundo de Investimento em Contas de Fundos de Investimentos
Tipos de Fundos - Estrutura, Cotas, Direitos e Obrigações dos Cotistas, Objetivo x Política de Investimento, Obrigações e Vedações do Administrador do Fundo
Classificação dos Fundos Quanto à Composição do Patrimônio, Fundos de Renda Fixa de Curto Prazo, Referenciados, Renda Fixa Simples e Dívida Externa, Fundo de Ações, Cambial, Multimercado, Fundo Imobiliário E FIDC, Taxa de Administração e Limites
Imposto de Renda Sobre Aplicações Financeiras em Fundos de Investimento, Imposto de Renda Sobre Aplicações Financeiras em Fundos de Investimento - Fundos de Ações, Imposto de Renda Sobre Aplicações Financeiras em Fundos de Investimento Imobiliário, IOF, Clube de Investimento
Course: Orchestrating Whole Classroom Discussion
Modules:
Introduction to your course, Whole Class Discussion Video, Why discuss?, Debriefing the Non-example, Classroom Discussion Example, Into, Through, and Beyond
Session 2 Goals, A class discussion about the House on Mango Street, Determining your discussion goals, Setting Norms for Discussion, Classroom Norm-Setting, Debriefing Lily's Norms, Goal-Specific Norm Setting, Debriefing the Goal-Specific Norm Setting Video
Preparing Texts, Developing Questions
An Introduction to Preparing Students, Discussion Preparation Example, De-briefing the Classroom Example, Small Group Discussion as Preparation Example, De-briefing Yvonne's Discussion Preparations, Example of Partner Talk as Preparation, Debriefing the Partner Talk as Discussion Preparation Example, Closing Video
Course: 工程圖學 2D CAD 專題
Modules:
CAD/BIM專項課程歡迎你！, 101 認識本課程, 103 如何通過本課程
201  建築平面圖, 202  建築平面圖常見符號, 203  尺寸標註與材料符號, 204  平面圖繪製順序, 205  結構平面圖, 206	AutoCAD 平面圖繪製預備
301 平面圖：開始畫圖了！柱與牆, 302	AutoCAD 繪製柱心線, 303	AutoCAD 繪製柱, 304	AutoCAD 繪製牆心線, 305	AutoCAD 繪製牆, 306	AutoCAD 牆心線與柱心線尺寸標註
401 平面圖：畫樓梯、電梯與陽台！, 402	AutoCAD 繪製樓梯符號, 403	AutoCAD 繪製電梯符號, 404	AutoCAD 繪製大門階梯與陽台
501 平面圖：進入門窗繪製！, 502	AutoCAD 繪製冷氣口 (圖塊建立與插入), 503	AutoCAD 繪製DW2落地窗, 504	AutoCAD 繪製W3窗 (編輯圖塊), 505	AutoCAD 繪製W2 窗(圖塊插入旋轉), 506	AutoCAD 繪製D4、D3門, 507	AutoCAD 繪製SD1鐵捲門、D1大門
601 平面圖：最後一步！其他設備符號與標示註解, 602	AutoCAD 繪製衛浴設備, 603	AutoCAD 繪製水溝與陰井, 604	AutoCAD 磚牆材料符號, 605	AutoCAD 門窗柱列編號與特殊符號, 606	AutoCAD 高程符號與指北針, 607	AutoCAD 引線註解與槽型包圍文字
測驗一：平面圖概念與實作
801	建築立面圖, 802	建築立面圖常見符號, 803	立面圖表現技法, 804	立面圖繪製順序, 805	AutoCAD 立面圖繪製預備
901 立面圖：第二階段開始！正向立面圖定位線與建築輪廓, 902	AutoCAD 繪製柱心線及樓地板定位線, 903	AutoCAD 繪製建築物輪廓線
1001 立面圖：繪製門與窗, 1002	AutoCAD 繪製冷氣口與W2窗戶, 1003	AutoCAD 繪製DW1落地窗, 1004	AutoCAD 繪製 W1窗戶, 1005	AutoCAD 繪製D1大門, 1006	AutoCAD 繪製 SD1鐵捲門
1101 立面圖：最後一步！附屬建物與標示註解, 1102  AutoCAD 磚牆材料符號, 1103  AutoCAD 繪製屋頂、逃生門雨遮, 1104  AutoCAD 繪製鐵爬梯, 1105  AutoCAD 立面圖標示註解
測驗二：立面圖概念與實作
回顧 Part 1, 回顧 Part 2, 回顧 Part 3, 回顧 Part 4, 下一個旅程
Course: Crear prototipos y diseños de alta fidelidad en Figma
Modules:
Introducción al Curso 5: Crear diseños y prototipos de alta fidelidad en Figma, Kunal: mi recorrido hacia la UX, Bienvenido a la semana 1, Introducción a las maquetas, Chikezie: transición de diseños de baja fidelidad a diseños de alta fidelidad, Introducción a los elementos fundamentales del diseño visual, Tipografía en diseño de UX, La importancia de la tipografía, Color en el diseño de UX, Iconografía en el diseño de UX, Agregar imágenes a tus maquetas, Introducción a los diseños, Usar cuadrículas para guiar los diseños, Utilizar la contención en los diseños, Usar espacio negativo (blanco) en las presentaciones, Actividad de cierre: Comenzar a crear maquetas
Bienvenido a la semana 2, Énfasis en el diseño de UX, Jerarquía en el diseño de UX, Escala y proporción en el diseño de UX, Unidad y variedad en el diseño de UX, Aplicar los Principios Gestalt a las maquetas, Reflexionar sobre tu progreso, Actividad de cierre: Aplicar los principios del diseño visual a las maquetas
Bienvenido a la semana 3, Introducción a los sistemas de diseño, Beneficios de los sistemas de diseño, Sistema de diseño de Google: Material Design, Sistema de diseño de Shopify: Polaris, Crear una hoja de pegatinas en Figma, Usar una biblioteca de sistemas de diseño en Figma, Shabi: Considera las tecnologías de asistencia cuando trabajes en sistemas de diseño, Actividad de cierre: exploración de sistemas de diseño
Bienvenido a la semana 4, Dar y recibir feedback como diseñador de UX, Los fundamentos de las sesiones de crítica de diseño, Prácticas recomendadas para las sesiones de crítica de diseño, Kunal: Mi experiencia con las sesiones de crítica de diseño, Introducción a una sesión de crítica simulada, Observa una sesión de crítica simulada, Convierte el feedback de la sesión de crítica en acciones, Itera en maquetas en función del feedback de las sesiones de crítica, Actividad de cierre: Participar en sesiones de crítica de diseño
Bienvenido a la semana 5, Introducción a los prototipos de alta fidelidad, Crear un prototipo de alta fidelidad en Figma, Gestos y movimientos en el diseño de UX, Agregar gestos y movimientos en Figma, Consideraciones de accesibilidad para gestos y movimientos, Jen: diseñar pensando en la accesibilidad, Aprender de Figma: feedback e interacciones de prototipos, Actividad de cierre: creación de prototipos de alta fidelidad
Bienvenido a la semana 6, Planifica un estudio de investigación en UX, Realizar un estudio de facilidad de uso, Analizar y resumir los resultados del estudio de facilidad de uso, Iterar en los diseños de alta fidelidad, Identificar cuándo un diseño está completo, Documentar y compartir diseños, Entregar los diseños para producción, Aprender de Figma: prepararse para la entrega, Crea un caso práctico para el proyecto de tu portfolio, Actividad de cierre: Probar diseños e iterar para mejorarlos, Felicitaciones por completar el Curso 5: Crear diseños y prototipos de alta fidelidad en Figma
Course: Gestão Intercultural nas Organizações
Modules:
As Diferenças Culturais Dentro de Nós: Introdução, Abordagens sobre Cultura e Comunicação, Comunicação de Alto Contexto, Comunicação de Baixo Contexto, Comunicação Estratégica para Equipes Multiculturais, Comunicação e Cultura: A Água que nos Cerca
Modelo Decisório: Coletivistas e Individualistas, Modelo Decisório e a Influência Cultural, Modelo Consensual de Tomada de Decisão, Decisões com “D” E COM “d", Tomada de Decisão Ética, Tomada de Decisão em Equipes Multiculturais
Cultura e Confiança: Reflexões, Confiança Cognitiva e Afetiva nas Culturas, Persuasão em Diferentes Culturas, Cultura e Gestão do Tempo, Cultura da Discordância: Harmonia ou Confronto?, Somos Todos Iguais... Somos Todos Diferentes!
Conceitos de Equipes Virtuais, Diversidade Cultural em Equipes Virtuais, Comunicação em Equipes Virtuais, Confiança em Equipes Virtuais, Oportunidades com Equipes Virtuais: O Expatriado Virtual, Evitando o Tecnoestresse com Equipes Virtuais, Evitando o Tecnoestresse - Técnica Pomodoro, Evitando o Tecnoestresse - Inbox Zero, Evitando o Tecnoestresse - Técnica de Respiração
Course: Solving Business Problems with Spreadsheet Modeling
Modules:
Welcome to the Capstone Course, Correlation Analysis Overview, Performing Correlation Analysis in Microsoft Excel, Using Correlation Analysis in Business Problem Solving, Walkthrough: Correlation Problem Aerospace R&D, Walkthrough: Correlation Problem Psychology Exam
Introduction to Sensitivity Analysis, Performing Sensitivity Anaylsis Using Microsoft Excel, Using Sensitivity Analysis in Business Problem Solving, Sensitivity Problem Walkthrough: L-ia’s Bags, Sensitivity Problem Walkthrough: Arts Kites
Walkthrough: Tamiami Tamales, Walkthrough: SouthStyle Foods
Course: Artificial Intelligence: An Overview
Modules:
What is Artificial Intelligence?, Before the Birth of AI: Precursors, Before the Birth of AI: Turing Test, The Birth of AI, After the Birth of AI: Winters and Springs, After the Birth of AI: General vs. Narrow AI, The Birth of AI in Italy
Definition and Goals, Problems and Progresses, Major Milestones, Scientific Community, Research in industry
AI field, Techniques: perception and action, Techniques: cognition, Technologies, Regulation and organization issues
The need for national strategies, AI strategy in USA, AI strategy in China, AI strategy in EU
A summary of the main players, Interview-AIxIA, Interview - Laboratorio CINI, Interview - Italia High-level Experts in AI, Interview - ELLIS, Interview - CLAIRE
Course: Launching into Machine Learning en Français
Modules:
Présentation du cours
Introduction, Améliorer la qualité des données, Coursera : Premiers pas avec Google Cloud et Qwiklabs, Présentation de l'atelier : Améliorer la qualité de vos données, Démonstration de l'atelier : Améliorer la qualité de vos données, Qu'est-ce que l'analyse exploratoire des données ?, Comment l'analyse exploratoire des données est-elle utilisée en machine learning ?, Analyse et visualisation des données, Présentation de l'atelier : Explorer les données à l'aide de Python et de BigQuery
Présentation, Apprentissage supervisé, Régression linéaire, Présentation de l'atelier : Présentation de la régression linéaire, Démonstration de l'atelier : Présentation de la régression linéaire, Régression logistique
Introduction, Comparaison entre le machine learning et le deep learning, Qu'est-ce que le machine learning automatisé ?, Modèle de régression AutoML, Évaluer des modèles AutoML
Introduction, Entraîner un modèle de ML avec BigQuery ML, Modèles compatibles avec BigQuery Machine Learning, Présentation de l'atelier : Utiliser BigQuery ML pour prédire le poids d'un manchot (BigQuery ML et Explainable AI), Démonstration de l'atelier : Utiliser BigQuery ML pour prédire le poids d'un manchot (BigQuery ML et Explainable AI), Régler les hyperparamètres de BigQuery ML, Créer et déployer un système de recommandation à l'aide de BigQuery ML
Introduction, Définition des modèles de ML, Présentation de l'ensemble de données du cours, Présentation des fonctions de perte, Descente de gradient, Résoudre les problèmes liés aux courbes de fonction de perte, Problèmes liés aux modèles de ML, Atelier du cours : Présentation de TensorFlow Playground, Atelier du cours : TensorFlow Playground – Niveau avancé, Atelier du cours : S'entraîner à utiliser des réseaux de neurones, Métriques de performances, Matrice de confusion
Introduction, Généralisation et modèles de ML, Quand arrêter l'entraînement d'un modèle ?, Créer des échantillons reproductibles dans BigQuery, Démonstration : Diviser des ensembles de données dans BigQuery
Résumé, Ressources : toutes les questions des quiz, Ressources : tous les documents, Ressources : toutes les diapositives (English only)
Course: NoSQL systems
Modules:
Introduction to NoSQL, Disadvantages of NoSQL technology
Key values database, More elements of key values database
Characteristics of a columnar database
Implement a document database with Mongo Db, Mongo Db
Graph databases, Neo4j
Reliable, maintainable and scalable, Different information systems
Course: Advanced Scheduling and Project Optimization in Primavera P6
Modules:
10 - 10.4 Introduction, Adding/Deleting Activities & Formatting, 10.5 - 10.7 Reorganizing the Activity Network & Critical Path Calculations, Workshop 8 – Scheduling Calculations and Activity Network View
11 - 11.2 Introduction to Constraints, Assigning Constraints and External Dates, 11.3 - 11.6 Project Must Finish By Date, Activity Notebook and Schedule Checking, Workshop 9 – Constraints
12 - 12.3 Group, Sort and Layouts, Workshop 10 – Organizing Your Data
13.01-03.02 Understanding and Applying a Filter, 13.03-04 Creating a Filter and Activity Critical Path Visibility, Workshop 11 – Filters
14.00-01 Printing, 14.02-03 Reports and Web Publishing, 14.04-05 Visualizer and Schedule Comparison, Workshop 12 – Printing
15.01 Understanding the Date Fields Part 1, 15.01 Understanding the Date Fields Part 2, 15.02 Schedule Options Part 1, 15.02 Schedule Options Part 2, 15.03-04 Setting the Baseline and Limitations on Viewing Baseline Data, Workshop 13 – WBS, LOEs and Setting the Baseline
16.00-03 Recording Progress to Updating a Schedule, 16.04-07 Progress Spotlight to Comparing Progress with the Baseline, 16.08-11 Progress Line Display to Corrective Action, Workshop 14 – Progressing and Baseline Comparison
17.1 User Preferences Part 1, 17.1 User Preferences Part 2, 17.2 Admin Menu - Create Users, 17.3 Admin Preferences, 17.4-5 Admin Categories and Miscellaneous Defaults
18.1-2 Understanding Roles and Resources and Creating Roles, 18.3 Creating Labour Resources, 18.3 Creating Non-Labour and Material Resources, Workshop 15 – Adding Resources to the Database
Course: IA generativa en el aula
Modules:
Bienvenida y forma de trabajo, ¡Iniciamos la semana 1!, ¿Qué es la inteligencia artificial generativa?, Interacciones texto a texto, Anatomía de un buen prompt, Anatomía de un buen prompt. Parte 2, Anatomía de un buen prompt. Parte 3, Alucinaciones y otras limitaciones, Seis ejemplos de uso de chatGPT (Dr. Guillermo Barrios), ¿Te animas a hacer la prueba ChatGPT?
Bienvenida a la semana 2, Texto a imagen (T2I), Un momento de reflexión sobre la creación de imágenes, Texto a video (T2V), Uso crítico de las herramientas Texto a video, Texto a presentación (T2P), Texto a curso, Reflexiones sobre el futuro de la inteligencia artificial generativa y el contenido multimedia
Herramientas de apoyo a la escritura en español y en otras lenguas, Enriquecer nuestras clases con prácticas basadas en evidencia, Herramientas de apoyo para la investigación: Research Rabbit, Elicit, Explainpaper, ¿Y qué pasa con la evaluación de actividades de aprendizaje con IA generativa?, Una actividad reestructurada., Lineamientos de trabajo con inteligencia artificial generativa
Introducción a aspectos éticos y futuros de la IA generativa, Ambivalencia: ¿la has sentido?, Retos de las IA generativas, ¿Y los estudiantes qué piensan?, Exploremos los usos con más detalle, Los retos prácticos y éticos de Yan y su equipo, Futuros posibles
Course: Generalized Linear Models and Nonparametric Regression
Modules:
From Linear Models to Generalized Linear Models, The Components of a GLM, The Exponential Family of Distributions, Introduction to Binomial Regression, Binomial Regression Parameter Estimation, Interpretation of Binomial Regression, Binomial Regression in R
Poisson Regression: A New Model for Count Data, Poisson Regression Parameter Estimation, Interpreting the Poisson Regression Model, Poisson Regression on Real Data in R, Goodness of Fit for Poisson Regression I, Goodness of Fit for Poisson Regression II, Overdispersion
Introduction to Nonparametric Regression Models, Motivating Kernel Estimators, Kernel Estimators, Smoothing Splines, Loess: Locally Estimated Scatterplot Smoothing, Kernel Estimation in R
Motivating Generalized Additive Models, Generalized Additive Models in R, Inference with Generalized Additive Models: Effective Degrees of Freedom, Inference with Generalized Additive Models: Tests, Generalized Additive Models in R: Inference and Interpretation, Generalized Additive Models: A Complete Example with Real Data
Course: Business Analytics
Modules:
What are you going to see in this course?, Why is Big Data important?, The 3 v's og Big Data, How Big Data systems emerge?, What should you do before start?, What is Artificial Intelligence?, Challenges and applications
What work profiles are there?, What is a data ecosystem?, What are databases?, What is Data Lake?, What is distributed computing?, The importance of Big Data
Data-driven projects, What is the business problem?, What does the definition of business metrics consist of?, What exactly does data pre-processing consist of?, What does the interpretation of results consist of?, What does putting into production consist of?, What does value enhancement consist of?, What does monitoring consist of?
Why is data quality important?, What characteristics should quality data have?, Why are the causes of low data quality?, What are the characteristics  to improve data quality?
Why is statistics important in data analysis?, Variable classification, What are the trafficking representations like?, What types of measures exist?, Correlation or causation?, What are the graphic representations like?, Why is there data lost?, What are the outliers?
What are the statistical population and the sample?, What is the normal distribution?, Why is the normal distribution important?, What is parameter estimation?, What is a hypothesis test?
Why are visualizations important?, How to create impact and avoid pitfalls?, Why are dashboards important?, Each person has a story, How to create a story from data?
Course: Structurer des projets d’apprentissage automatique
Modules:
Pourquoi une stratégie AA, Orthogonalisation, Métrique d’évaluation de numéro unique, Métrique de satisfaction et d’optimisation, Distributions d'entraînement/développement/test, Taille des jeux de développement et test, Quand faut-il changer les jeux de développement/test et les métriques ?, Taux de performance humaine ?, Biais évitables, Comprendre la performance au niveau humain, Surpassing human-level performance, Améliorer la performance de votre modèle, Entretien avec Andrej Karpathy
Déroulement de l’analyse d’erreurs, Nettoyage des données mal étiquetées, Construisez votre premier système rapidement, puis itérez, Formation et tests sur les différentes distributions, Biais et variance avec des distributions de données non correspondantes, Traitement de l’asymétrie des données, Apprentissage par transfert, Apprentissage multitâche., Qu’est-ce que l’apprentissage profond bout-en-bout ?, Utiliser ou pas l’apprentissage profond bout-en-bout, Entretien avec Ruslan Salakhutdinov
Course: Evaluación del y para el aprendizaje: enfoque cuantitativo
Modules:
Introducción al enfoque cuantitativo, Perfil de referencia de un examen objetivo, Tabla de especificaciones de un examen objetivo
Tipos de reactivos, Elaboración de reactivos, Análisis cualitativo de reactivos, Uso de software para elaborar un examen
Análisis cuantitativo de reactivos: TCT, Análisis cuantitativo de reactivos: TRI, Uso de software para analizar un examen: SISAPRE, Integración de resultados cuantitativos y cualitativos
Quiz, Lista de cotejo, Rúbrica y tipos de rúbrica, Conclusiones
Course: Building User Interfaces Using Functional React Components
Modules:
Context Setting, Create Function Components​, Watch and Repeat : Display Greetings Message With Username, Recall State Management in React​, Manage State Using useState Hook, Watch and Repeat : Display Count of Button Clicks​, Handle State Management Efficiently Using useReducer Hook​, Watch and Repeat : Implement State Management With User Authentication, Create Custom Hooks for Reusable Stateful logic​, Watch and Repeat : Develop Reusable Stateful Logic to Track Mouse Position, Produce Side Effects Using useEffect Hook, Watch and Repeat : Display the Duration for which Web Page was Viewed, Sharing Data among Components Using useContext Hook​, Watch and Repeat : Define Dark and Light Themes and Apply it to Multiple Components, Practice Brief, Practice Debrief, Challenge Brief, Challenge Debrief, Learning Consolidation
Context Setting, Watch and Repeat : Test Custom Hook, Make Use of React-Hooks-Testing-Library to test Custom Hooks​, Test for Initial State Values on Rendering, Watch and Repeat : Test Custom Hook on Rendering, Test for State Changes on Event Trigger, Watch and Repeat : Test Custom Hook on State Updates, Test for State Changes on Change in Props, Watch and Repeat : Test Custom Hook for State Updates by Props, Test for State Changes on Change in Context Value​, Watch and Repeat : Test Custom Hook on State Updates by Context Values, Test for State Changes on Asynchronous Updates​, Watch and Repeat : Test Custom Hook for Asynchronous State Updates, Practice Brief, Practice Debrief, Learning Consolidation