dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Инициирование и планирование проектов
Modules:
Обзор курса, Опрос по курсу
2.1 Лекция, 2.3 Разбор кейса, Бонусное видео: «Разбор руководства PMBOK®»
3.1 Лекция, 3.3 Разбор кейса, Бонусное видео: «История о стейкхолдере»
4.1 Лекция, 4.3 Разбор кейса, Бонусное видео: «WBS: мы набираемся сил»
5.1 Лекция, 5.3 Разбор кейса, Бонусное видео: «Продуктивный конфликт»
Интервью с экспертом
Course: Financing and Investing in Infrastructure
Modules:
Course Overview, 1.1 - Project Finance and the Network of Contracts Introduction, 1.2 - What Is Project Finance?, 1.3 - Financial Contracts: Shareholder, 1.4 - Financial Contracts: Lenders, 1.5 - Metro 5 #1, 1.6 - Industrial Contracts, 1.7 - Metro 5 #2, 1.8 - Module 1 Takeaways
2.1 - Syndicate Introduction, 2.2 - What Is a Syndicate?, 2.3 - What Roles Do Banks Perform?, 2.4 - Which Syndication Strategy Can Be Used?, 2.5 - How Much Does the Customer Pay?, 2.6 - How Has the Financial Crisis Reshaped the Market?, 2.7 -  Takeaways
3.1 - Introduction - The Need of Risk Management, 3.2 - Risk Taxonomy, 3.3 - Pre-Completion Risks, 3.4 - Post-Completion Risks, 3.5 - Risks Common to Both Phases, 3.6 - The Risk Matrix and Takeaways
4.1 - Project Finance and the Set up of Capital Budgeting, 4.2 - Setting Up The Construction Phase Budget, 4.3 - How to Finance Construction, 4.4 - Exercise #1: Construction Phase Budgeting, 4.5 - Setting up the Operational Phase Budget, 4.6 - Exercise #2: Operational Phase Budgeting, 4.7 - Takeaways
5.1 - Introduction, 5.2 - Profitability for Shareholders, 5.3 - Profitability for Creditors, 5.4 - From Profitability to Financial Sustainability, 5.5 - Cover Ratios, 5.6 - Cover Ratio Calculation, 5.7 - Takeaways
6.1 - Introduction, 6.2 - Security Package, 6.3 - Covenants of the Credit Agreement, 6.4 - How to Use Cover Ratios to Monitor the Borrower, 6.5 - Loan Amortization Methods, 6.6 - Application of Different Amortization Methods, 6.7 - Takeaways
7.1 - CASE STUDY: Bonollo Energia, 7.2 - CASE STUDY: Port De Paita
Course: Opportunity Management in Salesforce
Modules:
Introduction to the Course, The Sales Operations Specialist Role, Salesforce Updates and Customization, Week 1 Introduction, The Everyday Tasks of an Account Executive, Salesforce Opportunity Stages, Sales Pipeline Management
Week 2 Introduction
Week 3 Introduction
Week 4 Introduction, Course Recap, Congratulations!
Course: How to Modernize applications with IBM CICS
Modules:
Introduction, Programming Modules, CICS Applications, CICS Application Programming Interface
CICS COBOL Presentation Logic, CICS COBOL ApplicationBusiness Logic, Modernization using Channels and Cables, Working with CICS Applications in Video Studio Code
Modernizing Applications with Java, Running Java on CICS, Asynchronous Programming, Event Processing, Link to Liberty, DevOps and CICS, Summary
Badge Quiz
Course: Gemini for DevOps Engineers - Deutsch
Modules:
Wir stellen vor: Gemini für DevOps Engineers, Microservices leicht gemacht mit Gemini
Course: Advanced Linear Models for Data Science 1: Least Squares
Modules:
Introduction, Matrix derivatives, Coding example, Centering by matrix multiplication, Coding example, Variance via matrix multiplication, Coding example
Regression through the origin, Centering first, Coding example, Connection with linear regression, Coding example, Fitted values and residuals
Least squares, Coding example, Prediction, Coding example, Residuals, Coding example, Generalizations, Generalizations example
Least squares, Coding example, Second derivation of least squares, Projections, Third derivation of least squares, Coding example
Basic examples of design matrices and fits, Group effects, Change of parameterization, ANCOVA
Bases, introduction, Bases 2, Fourier, Bases 3, SVDs, Bases, coding example, Introduction to residuals, Partitioning variability
Course: Amazon Lex Getting Started
Modules:
Amazon Lex Getting Started
Course: Solución de problemas y toma de decisiones
Modules:
Introducción, Concepto del problema
Método de exploración de problemas
Principios de solución de problemas y dirección del pensamiento
El área de libertad del directivo para la toma de decisiones
Procesos mentales en la toma de decisiones
Elementos para involucrar al personal en la toma de decisiones
Aceptación y calidad, elementos básicos para alcanzar una decisión efectiva e integral
Course: Razonamiento artificial
Modules:
Introducción a la lógica, Conceptos preliminares, Sintaxis, Semántica: Modelo y satisfacción
Semántica: Consecuencia lógica, equivalencia lógica y literal, Inferencia, Algoritmo DPLL
Conceptos preliminares y sintaxis de lógica temporal, Semántica de lógica temporal, Conceptos preliminares y sintaxis de lógica de predicados, Semántica de lógica de predicados, Inferencia de lógica de predicados, Problemas cuando base de inteligencia artificial
Introducción a la teoría de la probabilidad, Redes bayesianas
Cadenas de Markov, Teoría de decisiones
Procesos de Decisión de Markov, Teoría de juegos, Cierre del curso
Course: The Language and Tools of Financial Analysis
Modules:
Essentials of Corporate Finance Specialization Overview, The Language and Tools of Financial Analysis - Overview, 1.0 Welcome and Introduction (It all begins with accounting), 1.1 The Balance Sheet 1: Assets (What the company owns), 1.2 The Balance Sheet 2: Liabilities (What the company owes), 1.3 The Balance Sheet 3: Equity (What the owners own), 1.4 The Profit and Loss Statement: Revenues (What the company earns), 1.5 The Profit and Loss Statement: Expenses (What the company spends)
2.0 Introduction: An Intuitive Understanding of Financial Analysis (Let‘s get crunching!), 2.1 Profitability Measures 1 (When is good really good?), 2.2 Profitability Measures 2 (When is really good, good enough?), 2.3 Leverage Measures (Creating value with other people‘s money), 2.4 Efficiency Measures (Are we doing more with less?), 2.5 Liquidity Measures (Staying ahead of the curve?), Mid Course Check-in, A View from Industry with BNY Mellon
3.0 Accounting Principles and Financial Decision-Making (Trust in numbers), 3.1 Limitations 1: Historical Cost And Market Value (The market is always right...), 3.2 Limitations 2: Accrual versus Cash Accounting (Money in the bank), 3.3 Limitations 3: Profit versus Wealth Creation (Raising the bar), 3.4 Accounting Scandals 1: The Fall-out From Enron (What to look out for…), 3.5 Accounting Scandals 2: Earnings Management (Smoke and mirrors)
4.0 Value Measurement Using Discounted Cash Flow Analysis, 4.1 Discounting Cash Flows (Not every dollar is equal), 4.2 Forecasting Cash Flows (Back to the future), 4.3 Fair Value Using Net Present Value (Finance meets accounting), 4.4 Caution When Using DCF Analysis (Rubbish in… rubbish out), 4.5 The Accountant Signs Off (A summary of the course)
Course: Introduction to Large Language Models - 繁體中文
Modules:
大型語言模型簡介
Course: Digital Forensics for Pentesters - Hands-On Learning
Modules:
Introduction to Digital Forensics for Pentesters
Downloading ISO and OVA File for VirtualBox, Create a Virtual Install of CSI Linux 2021.2, Create a Kali Live (Forensic Mode) VM Using VirtualBox, Create a Virtual Install Kali Image Using VirtualBox, Create Virtual Install of Windows 10 Using VirtualBox, Create Virtual Install of Metasploitable2 Using VirtualBox
Video and Lab -Getting Started with Autopsy, Video and Lab - Simulate Creating a Disk Image for a Forensic Analysis, Video and Lab - Examining a Forensic Disk Image Using Autopsy
Video and Lab - Installing the WebMap-Nmap Dashboard
Video and Lab - Conducting OSINT Using CSI Linux Investigator, Video and Lab - Find Social Media Accounts Using Sherlock, Video - OSINT Framework - Overview
Video and Lab - Preparing CSI Investigator to Use Shodan, Video and Lab - Using Shodan to Find Vulnerable Devices, Video and lab - Using Shodan to Search for Vulnerable Databases
Video - Attaching an External USB Device in Kali, Video and Lab - Acquiring a Forensic Copy of the Windows Registry, Video and Lab - Analyzing the Windows Registry for Evidence, Video and Lab - Dumping Wi-Fi Credentials Using netsh, Video and Lab - Email Header Analysis, Video and Lab - Using Shellbags to View Hidden or Deleted Folders, Video and Lab - Extracting Thumbnail Images From a Suspect's Machine, Video and lab - Memory Forensics Using the Volatility Framework
Video and Lab - Install Ghidra on CSI Linux, Video and Lab - Introduction to Using Ghidra, Video and Lab - Reverse Engineering crackme0x00 Using Ghidra, Video and Lab - Reverse Engineering crackme0x05 Using Ghidra, Video and Lab - Analyzing the WannaCry Killswitch Using Ghidra
Video and Lab - Using Steghide to Hide and Extract Data, Video and Lab - Using the EXIFtool to Read and Write EXIF Tags
Video - Overview of Wireshark 3.2, Video - Wireshark Capture Options, Video - Wireshark Toolbar Icons, Video and Lab - Installing a Wireless Adapter in Kali, Video and Lab - Hacking a Wireless Network Using Kali Linux, Video - Capturing Wireless Traffic Using Wireshark, Video and Lab - Capturing a 3-way TCP Handshake Using Wireshark
Video and Lab - CTF Lab Build for HA: Forensics, Video and lab - Capture flag #1, Video and lab - Capture flag #2, Video and lab - Capture flag #3, Video and lab - Capture flag #4
Course: The exposome: cracking the science about what makes us sick
Modules:
What is the Exposome and how has it evolved to its current conception?
Harnessing big data to prevent CVD
What's in the air: how to measure the invisible, Geospatical access to food: how it influences our dietary choices and the risk of developing chronic diseases
The world of chemicals within us
Making big data manageable data
The exposome: a new paradigm
Course: Understanding and Strengthening Health Systems
Modules:
Welcome, What is an Organization? (Part 1), What is an Organization? (Part 2), What is an Organization? (Part 3), Stages in Organizational Change (Part 1), Stages in Organizational Change (Part 2), Organizational Diagnosis (Part 1), Organizational Diagnosis (Part 2), Organizational Change (Part 1), Organizational Change (Part 2), Understanding Health Systems (Part 1), Understanding Health Systems (Part 2), Systems Thinking, Effecting change in a Health System
Introduction to Module 2, Introduction to Primary Health Care, The Building Blocks, Building Blocks: Support, Building Blocks: Community, Where Do People Go When They Are Sick and Live 10 Miles from the Nearest Clinic?, Patent Medicine Vendors—Business or Health Care Provider?, Procurement for Medicine Shops and Vendors, Community Case Management, Procurement and Flow of Commodities to the Community, Hybrid Models: Involving both CHWs and PMVs, Copy of Where Do People Go When They Are Sick and Live 10 Miles from the Nearest Clinic?, What Are Community Systems?, CSS Framework, Community Examples, CSS Indicators, National Health Accounts, Financial Sources, The Health Commodities, Universal Health Coverage Requires a Strong Health Workforce, Preparing Health Workers
Welcome to Module 3, Organizational Context For Training, Training In Context of Program Management (Part 1), Training In Context of Program Management (Part 2), Training In Context of Program Management (Part 3), Training Policy and Functions (Part 1), Training Policy and Functions (Part 2), Continuing Education
Welcome to Module 4, Policy Making (Part 1), Policy Making (Part 2), Stakeholders, Advocacy, Examples of Advocacy (Part 1), Examples of Advocacy (Part 2)
Course: Introduction to Image Generation - 日本語版
Modules:
画像生成の紹介
Course: Concept of International transaction, AE and TP Methods
Modules:
Introduction to the Module, Transfer pricing deep dive, Section 92A(2) of the Act, Deemed AEs: Section 92A(2) of the Act, International transactions, Key takeaways
Introduction to the Module, Overview of TP Methods, Overview of CUP Methods, Computation of ALP using CUP Method, Resale Price Method, Computation of ALP under RPM, Overview of the cost-plus Method, Computation of ALP using CP Method, Key takeaways
Introduction to the Module, Computation of Arm's Length price using Transactional Net Method, Overview of Profit Split Method - Part 1, Overview of Profit Split Method - Part 2, Other Method, Key Takeaways
Course: Desarrollo de aplicaciones con Android
Modules:
Bienvenida, Aplicando el tema Material Design, Compatibilidad con versiones anteriores, Ejercicio: Integrando Material Design a tus proyectos
¿Qué son las Activities?, Ejercicio: Creando una actividad, Implentando interfaces de usuario, Layouts y Raised Button, Floating Action Button, Snackbar, Refresh Indicator, CardView, Qué son los Layouts, Ciclo de vida de un Activity, Métodos Callbacks, Iniciando una actividad. Intents, Tipos de Intents: Implicitos y Explicitos, Ejemplo: Intent implícito y explícito 1, Ejemplo: Intent implícito y explícito 2, Terminando Activities
RecyclerView, Ejemplo: RecyclerView
Añadiendo un App Bar Material Design y Ejemplo, Navegación hacia atrás: para qué y cómo, Ejemplo: Navegación hacia atrás, Views de Acción
Menú de opciones, Menú de contexto, Menú Popup, Ejemplo: Menú de opciones, Ejemplo: Menú de contexto, Ejemplo: Menú Popup, Ejemplo: Menús, Aprovecha los menús
¿Por qué usar Fragments?, Creando un Fragment, Ejemplo: Crear Fragments, ViewPager y Fragment, Añadiendo RecyclerView en un Fragment, Añadiendo un Fragment desde un layout
Permisos en Android, Uso de Permisos, Ejemplo: Permisos, Conclusión permisos
Tipos de almacenamiento, File I/O, Ejemplo: FileIO, Shared Preferences, Ejemplo: Shared Preferences, Base de Datos, Ejemplo: Base Datos (Modelo Vista Presentador) 1, Ejemplo: Base Datos (Modelo Vista Presentador) 2, Ejemplo: Creación y Consulta Base de Datos, Ejemplo: Insertando Like a Base de Datos, Dedugging DB por terminal, Ejemplo: Debugging Base de Datos, Content Provider, Ejemplo: Content Provider Permisos, Ejemplo: Content Provider Consulta, Despedida
Course: Planning your Client's Wealth over a 5-year Horizon
Modules:
Welcoming video & project overview, Client profile - Quick recap - part 1, Client profile - Quick recap - part 2, The basic steps in investment, Cognitive biases when choosing which assets to look at, Cognitive biases when processing financial information, Cognitive biases when rebalancing your portfolio, Cognitive biases when evaluating performance, Wrap-up, How our emotions impact our investment decisions, Why we trade, What can we learn from this?, The key things you need to know to define your investment profile - UBS guest speaker, The path from an investor's profile to his/her optimal investment strategy - UBS guest speaker, How our age and wealth affect our investment profile - Main views, How our age and wealth affect our investment profile - Robo-advisors
Overview of the milestone, Risk as volatility?, The risk-return trade-off - UBS guest speaker, Measuring our risk tolerance, Distribution of returns - Graphical representation, Distribution of returns - Numbers, The impact of correlation - The benefits of diversification, The impact of correlation - Maximizing diversification, A first example of an anticipation crisis: 1987 - The "Fed Model", A first example of an anticipation crisis: 1987 - The crash, A second example of an anticipation crisis - 2000, Key drivers of tactical asset allocation - Goals, Key drivers of tactical asset allocation - Implementation
Overview of the milestone, Risk management applied to portfolio allocation, Defining the Value-at-Risk, Computing the Value-at-Risk, Defining the Expected Shortfall, Computing the Expected Shortfall, Risk as volatility?
Overview of the milestone, The Sharpe, Treynor and Sortino ratios - Sharpe, The Sharpe, Treynor and Sortino ratios - Treynor and Sortino, Beating the benchmark or the peer group? - Peer group analysis, Beating the benchmark or the peer group? - Screening criteria, A few concluding words
Course: Digital Strategy and Business Opportunity
Modules:
New Digital Context, Digital Consumer Behavior, Customer Expectations, What is Digital, Digital Disruption, The Digital Customer Journey, The Digital Opportunity, Digital and Your Organization, Digital for You
Key Digital Marketing Concepts, Traditional and Digital Marketing, 3i Principles, Strategy Fundamentals, Budgeting, ROI, SMART Objectives, Audience Research, Audience Listening Tools, Cultural Research, Case Study - Cartier, The Buyer's Journey Introduction, Integrating Traditional and Digital Marketing, Aligning the Buyer's Journey with Channels, Tools for Digital Marketing
Purpose of Content Marketing, Importance of Content Marketing Strategy, Jamie White on Content Marketing to a Young Audience, Purpose and Benefit of Using Personas, Content Creation, Curation, Personalization, and Repurposing, Expert Insights with Kate Talbot, Creative Strategy and Maximising your Creative Output, Channel Specifications for a Launch Plan
Course: Enhance your Writing with Noun Clauses
Modules:
Meet Your Teacher, Complex Sentences, The Basic Vocabulary of Noun Clauses, Introduction to Noun Clauses, Introduction to Noun Clauses (Guided Practice)
Noun Clauses with Question Words, Noun Clauses with Question Words (Guided Practice), Noun Clauses with "If" and "Whether", Noun Clauses with "If" and "Whether" (Guided Practice), Noun Clauses with "That", Noun Clauses with "That" (Guided Practice)
Noun Clauses with "Ever" Words, Noun Clauses with "Ever" Words (Guided Practice), Avoiding Common Mistakes with Noun Clauses, Avoiding Common Mistakes with Noun Clauses (Guided Practice), Tips for Writing with Noun Clauses
Peer Evaluation
Course: Responsible AI: Applying AI Principles with GC - Português
Modules:
Introdução ao curso, O Google e a IA responsável, Introdução aos princípios de IA do Google
Relatório da Economist Intelligence Unit, O caso de negócios da inovação responsável
Considerações técnicas e questões éticas da IA, Questões sobre inteligência artificial
Como os princípios de IA do Google foram desenvolvidos, Como identificar problemas éticos, Os objetivos éticos dos princípios de IA do Google
Princípios de IA do Google, Processo de avaliação do Google Cloud, Estudo de caso de reconhecimento de celebridades
Processo de identificação de problemas, O que aprendemos ao operacionalizar os princípios de IA: desafios, O que aprendemos ao operacionalizar os princípios de IA: práticas recomendadas
Como continuar a jornada de adoção da IA responsável
Course: Research Proposal: Initiating Research
Modules:
Course Introduction, Survey to Build Our Database, Introduction to Market Research, Defining Market Research, Motivation for Market Research, Requests for Market Research, The Services, Roles, and Qualities of a Market Researcher, Complexities, Constraints, and Questions to Ask, Planning a Response to a Market Research Inquiry
Introduction to Secondary and Internal Research, The Importance of Secondary and Internal Research, Secondary and Internal Research in the Planning Process, Starting Cold with Secondary and Internal Research, Pros and Cons of Secondary and Internal Research, Three Levels of a Professional Market Researcher, Budget Considerations While Initiating Market Research, Developing Your Research Skills Further
Introduction to Primary Research, Defining Primary Research, Sampling and a Sampling Frame, Deciding on the Kind of Sampling and How Many to Sample, Observational Research, Surveys, Methods and Tools in Qualitative Research
Introduction to Market Research Plan or Proposal, How a Research Plan or Proposal Might be Presented, Components of a Research Plan or Proposal (Part 1), Components of a Research Plan or Proposal (Part 2), Packaging the Research Plan or Proposal, How to Follow Up with Your Client, You Won the Project, Now What?, Course Summary
Course: Introducción a Java
Modules:
¡Acompáñanos a este curso!, El proceso de desarrollar y ejecutar un programa, ¿Qué es la “Orientación a Objetos”?, Jerarquía de clases
Preparándonos para Java, ¡Ahora sí!... Java, Definiendo atributos y métodos de una clase, Archivos de una clase en Java, Métodos de consulta, actualización e implementación, Comentarios para Javadoc, La clase Usuario
Argumentos y parámetros, Atributos en una clase, Métodos auxiliares y su uso, Lectura desde la consola, Métodos de consulta, Uso de clases importadas
Implementación de un catálogo de discos, Modelo de memoria de Java, Constructores del catálogo, Iteraciones, Condicionando la ejecución de enunciados
Algunos métodos del catálogo, Más servicios del catálogo, Consulta y actualización de arreglos, Histórico de transmisiones, Cómo construir un menú, Más opciones del menú, Uso de la clase Catalogo
Course: Fundamentals of Internal Business Communications
Modules:
Introduction to the Course & Meet Your Instructor, Why Internal Communication is Important, Exploring Vertical Communication in Organizations, Harnessing Horizontal Communication for Organizational Success, How to Create the Best Comms Experience for your Employees and Colleagues, Miramax Reading Video, Evaluating the Needs of Your Audiences, Aligning Internal Communications with Organizational Goals, Cultivating Organizational Integrity through Effective Communication, Designing a Strategic Internal Communications Plan, Implementing and Evaluating an Internal Communications Strategy, Merger Reading Video, Crafting Effective Communications for Crisis and Technical Issues, Managing Internal Communications During Employee Misconduct, Content: The 4 Cs of Internal Comms, Navigating Sensitive Internal Communications: Redundancies, Cultural Shifts, and Mergers, Effective Internal Communications for Cultural Change and Mergers, Congratulations and Continuous Learning Journey
Course: AI For Medical Treatment
Modules:
Intro to Course 3 with Andrew and Pranav, About Course 3, Absolute Risk Reduction, Randomized Control Trials, Causal Inference, Average Treatment Effect, Conditional Average Treatment Effect, T-Learner, S-Learner, Evaluate Individualized Treatment Effect, C-for-benefit, C-for-benefit Calculation
Medical Question Answering, Handling Words with Multiple Meanings, Define the Answer in a Text, Automatic Label Extraction for Medical Imaging, Synonyms for Labels, Is-a Relationships for Labels, Presence or Absence of a Disease, Evaluating Label Extraction, Precision, Recall and F1 Score, Evaluating on Multiple Disease Categories
Drop Column Method, Permutation Method, Individual Feature Importance, Shapley Values, Combining Importances, Shapley Values for all Patients, Interpreting  CNN Models, Localization Maps, Heat Maps
Course: Advanced Data Analysis with ChatGPT
Modules:
Welcome to the Course
Discovering the Powerful Capabilities of ChatGPT for Advanced Data Analysis
Crafting Good Prompts for Meaningful Insights and Reporting with ChatGPT: Part 1, Crafting Good Prompts for Meaningful Insights and Reporting with ChatGPT: Part 2
Implementing Best Practices When Using ChatGPT's Advanced Data Analytics Features: Part 1, Implementing Best Practices When Using ChatGPT's Advanced Data Analytics Features: Part 2, Optimizing Data Validation to Ensure Accurate AI-Generated Insights, Hands-on Practice: Mastering Exploratory Data Analysis for Data-Driven Insights and Decision-Making With ChatGPT — An Example Solution and Explanation
Course: Inequality and Democracy
Modules:
1.0.1 Welcome to the course, 1.1.2 Economic inequality around the world, 1.2.1 Causes of inequality, 1.3.1 When is inequality (un)just?, 1.4.1 Inequality and Democracy: The road ahead
2.1.2 Private property as a legal construct, 2.2.1 The business corporation as a legal construct, 2.3.1 The superior efficiency of private property, 2.4.1 Economic power and political power
3.1.2 Defining democracy, 3.2.1 Democracy for the common good, 3.3.1 Property and power in history, 3.4.1 Political inequality today
4.1.2 An intro to campaigning and lobbying, 4.2.1 The dominance of the rich, 4.3.1 What are the arguments in favour?, 4.4.1 Regulating campaign finance
5.1.2 Types of capital flight, 5.2.1 The race to the bottom, 5.3.1 Exposing secrets, closing loopholes, 5.4.1 The capital flight trilemma
6.1.2 Property-owning democracy, 6.2.1 Workplace democracy, 6.3.1 Common property regimes, 6.4.1 A theory of transformation
Course: Laboratório de Programação Orientada a Objetos - Parte 1
Modules:
Introdução ao Curso, Bem-vindos primeiríssimos alunos!, Conceitos Básicos de Orientação a Objetos, Sistemas de objetos, Variáveis de classe vs. variáveis de objeto, Herança, Unified Modeling Language (UML), Exemplos UML, Linguagens Interpretadas vs. Compiladas
Introdução à linguagem Java, Orientação a Objetos em Python (Parte 1), Orientação a Objetos em Python (Parte2), Boas Práticas em Orientação a Objetos, Introdução - Depuração e Teste, Depuração de código Java no Eclipse, Teste automatizados - Introdução ao Pytest, Música "Melô do Teste Automatizado" e Entrevista com Daniel Cukier
Linguagens Dinâmicas vs. Linguagens estáticas, Coleções de Objetos, Classes abstratas e interfaces, Polimorfismo
Tratamento de Exceções, I/O Streams, Network Streams
Padrões de Projeto e Padrão Estratégia, Padrão Adaptador, Padrão Singleton, Padrão Método Fábrica, Padrão Fábrica Abstrata
Padrão Protótipo, Padrão Estado, Padrão Model-View-Controller (MVC), Opcional: MVC na Web (usando SpringBoot) - Parte 1: Prática, Opcional: MVC na Web (usando SpringBoot) - Parte 2: Reflexão
Course: Vers l'infiniment petit
Modules:
En route vers l'infiniment petit, Du noyau au quark, E=mc2 et ses conséquences
Les interactions fondamentales, Le Modèle Standard, A la découverte de nouvelles particules
Les accélérateurs de particules, Détecter les particules
Le LHC, Les projets pour l'Avenir
Course: Innovating with Data and Google Cloud בעברית
Modules:
מבוא לקורס
מבוא, התפקיד של נתונים בטרנספורמציה דיגיטלית, שימוש בנתונים בארגון שלכם, הבנה של נתונים לא מובְנים, שיקולים חשובים בנוגע לנתונים
מבוא, העברת נתונים אל הענן, נתונים בענן, מחסני נתונים בענן, אגמי נתונים בענן, פתרונות בינה עסקית (BI)
מבוא, מהי למידה חישובית?, איכות נתונים, בינה מלאכותית ולמידה חישובית ב-Google Cloud, תרחישי שימוש בלמידה חישובית מהעולם האמיתי
סיכום
Course: Hadoop Platform and Application Framework
Modules:
Hadoop Stack Basics, The Apache Framework: Basic Modules, Hadoop Distributed File System (HDFS), The Hadoop "Zoo", Hadoop Ecosystem Major Components, Exploring the Cloudera VM: Hands-On Part 1, Exploring the Cloudera VM: Hands-On Part 2
Overview of the Hadoop Stack, The Hadoop Distributed File System (HDFS) and HDFS2, MapReduce Framework and YARN, The Hadoop Execution Environment, YARN, Tez, and Spark, Hadoop Resource Scheduling, Hadoop-Based Applications, Introduction to Apache Pig, Introduction to Apache HIVE, Introduction to Apache HBASE
Overview of HDFS Architecture, The HDFS Performance Envelope, Read/Write Processes in HDFS, HDFS Tuning Parameters, HDFS Performance and Robustness, Overview of HDFS Access, APIs, and Applications, HDFS Commands, Native Java API for HDFS, REST API for HDFS
Introduction to Map/Reduce, The Map/Reduce Framework, A MapReduce Example: Wordcount in detail, MapReduce: Intro to Examples and Principles, MapReduce Example: Trending Wordcount, MapReduce Example: Joining Data, MapReduce Example: Vector Multiplication, Computational Costs of Vector Multiplication, MapReduce Summary
Introduction to Apache Spark, Architecture of Spark, Resilient Distributed Datasets, Spark Transformations, Wide Transformations, Directed Acyclic Graph (DAG) Scheduler, Actions in Spark, Memory Caching in Spark, Broadcast Variables, Accumulators
Course: Practical Machine Learning on H2O
Modules:
Welcome!, What's In Week One?, Need To Know, Preinstall #1 (with Linux), Preinstall #2 (with Windows), Installing H2O, A Quick Deep Learning!, AutoML, Types Of Models, Where To Go With Questions, Summary
Weekly Intro, Decision Trees, Random Forest, Random Forest in H2O (Iris), GBM, GBM in H2O (Iris), Importing From Client, Artificial Data Sets, Overfitting and Train/Valid/Test, Train/Valid/Test in H2O, GBM in H2O (artificial data), Let's Overfit A GBM!, Cross-validation in H2O (GBM), About the peer review task, Week Two Summary
Exploring The Universe, Loading From Remote Sources, Exporting Data From H2O, Exploring With GLMs, Naive Bayes, Data Manipulation, Statistics, Grid Search, Applying Grids, Summary
Weekly Introduction and Early Stopping, Load & Save Models, Binding data tables, Merging and joins, Neural Networks, Deep Learning Part 1, Deep Learning Part 2, Deep Learning with Grids, Regression with Deep Learning, Introducing The Graded Task, Summary Of Week Four
Week Five Is Unsupervised, Autoencoders, Using Autoencoders, PCA And GLRM, Clustering, K-Means, Data Repair #1, Data Repair #2, Hands-on Data Repair, Next Week's Project, Week Five Summary
Pulling It All Together, Ensembles, Stacked Ensembles In H2O, Pojo And Mojo, Clusters, Deep Water, Driverless AI, H2O4GPU, Week Six Summary
Course: Project: Writing a Research Paper
Modules:
Capstone Introduction Video, Plagiarism Resource video 1, Plagiarism Resource video 2, Choosing a Topic and Research Question video, Making an Outline video
Finding Sources video
Introduction Paragraphs video, Writing Longer Essays video, Using Sources video
Works Cited video, MLA Formatting video
Academic Tone and Language video
End of Capstone Video
Course: Project Planning: Putting It All Together
Modules:
Introduction to Course 3, The benefits of project planning, Launching the planning phase, Facilitating a project kick-off meeting, Understanding tasks and milestones, The importance of setting milestones, How to set milestones, Creating a work breakdown structure, Wrap-up, Clennita: How planning creates a sense of team
Introduction: Building a project plan, Components of a project plan, Making realistic time estimates, Capacity planning and the critical path, Getting accurate time estimates from your team, Angel: The value of interpersonal skills in time estimation, Developing a project schedule, Project plan best practices, Wrap-up
Introduction: Managing budgeting and procurement, The importance of budget setting, Key components of a project budget, Creating a project budget, Maintaining a project budget, Understanding procurement, The procurement process, Common procurement documentation, Creating a Statement of Work, Obtaining procurement support, Ethics in the procurement process, Wrap-up
Introduction: Managing risks effectively, The importance of risk management, Stanton: Managing my first project, Tools to help identify risks, Types of risk, Risk mitigation strategies, Building a risk management plan, Communicating risks to stakeholders, Aji: Risk management at Google, Wrap-up
Introduction: Organizing communication and documentation, Why communication is critical, Starting a communication plan, Developing a communication plan, The value of project documentation, Organizing project documentation, Chris: Organizing artifacts for a job interview, Documenting experience in a resume, Dan: The importance of project documentation, Course wrap-up
Course: Wharton Business and Financial Modeling Capstone
Modules:
Project Description - Read me first!, Project Prompt, Historical Stock Data
Definition and Uses of Models, Common Functions (Fundamentals of Quantitative Modeling), How Models are Used in Practice (Fundamentals of Quantitative Modeling), Mathematical Functions (Fundamentals of Quantitative Modeling), Navigating a Spreadsheet and Crafting Formulas (Introduction to Spreadsheets), How To Build an Optimization Model: Hudson Readers Ad Campaign (Modeling Risk and Realities), Data and Visualization: Graphical Representation (Modeling Risk and Realities)
Introducton to Linear Models and Optimization (Fundamentals of Quantitative Modeling), Present and Future Value (Fundamentals of Quantitative Modeling), Optimization (Fundamentals of Quantitative Modeling), Linear Programming (incl. Solver) (Introduction to Spreadsheets), Optimizing with Solver, and Alternative Data Inputs (Modeling Risk and Realities), Adding Risk: Managing Investments at Epsilon Delta Capital (Modeling Risk and Realities), Using Scenarios for Optimizing Under High Uncertainty, Sensitivity Analysis and Efficient Frontier (Modeling Risk and Realities)
Introduction to Regression Models (Fundamentals of Quantitative Modeling), Use of Regression Models (Fundamentals of Quantitative Modeling), Correlation and Regression (Introduction to Spreadsheets)
VBTLX and VFIAX Monthly Returns
Course: Arte Medieval
Modules:
Bienvenida al curso, Características generales del Arte Medieval
Introducción a la segunda semana, El nacimiento de la iconografía cristiana. Símbolos de lo prohibido. Sincretismo y creación.  Parte I, El nacimiento de la iconografía cristiana. Los símbolos de lo prohibido. Sincretismo y creación.  Parte II, La llegada de los otros: el arte bárbaro, Tesoros bárbaros, Los códices. Técnicas de la escritura e iluminación, San Vital de Ravena, modelo para imitar. Su importancia arquitectónica, El arte musivario de San Vital de Rávena. Los mosaicos imperiales, Andrei Rubliov. El más grande iconógrafo bizantino, El poder de las letras. Las escuelas y los manuscritos carolingios
Introducción a la tercera semana, Manuscritos iluminados otonianos. Las diferentes escuelas, La vida como un largo peregrinar. El culto a las reliquias, La iglesia militante y la difusión de los beatos
Introducción a la cuarta semana, Análisis de tallas románicas y góticas - Cómo distinguirlas
Course: Goldman Sachs 10,000 Women के साथ, अपने व्यवसाय की वृद्धि करें
Modules:
स्वागतम्, एक अच्छे अवसर को पहचानना, एक वृद्धि के अवसर को चुनना, साध्यता जांच सूचियाँ, अपने अवसर को स्पष्ट रूप से कहना, व्यवसाय वृद्धि योजना क्या है?
Course: Data Visualization with Python
Modules:
Welcome to the Course, Overview of Data Visualization, Types of Plots, Plot Libraries, Introduction to Matplotlib, Basic Plotting with Matplotlib, Dataset on Immigration to Canada, Line Plots
Area Plots, Histograms, Bar Charts, Pie Charts, Box Plots, Scatter Plots, Plotting Directly with Matplotlib
Waffle Charts & Word Cloud, Seaborn and Regression Plots, Introduction to Folium, Maps with Markers, Choropleth Maps
Dashboarding Overview, Introduction to Plotly, Introduction to Dash, Make Dashboards Interactive, Understanding the Lab Environment
(Optional)Reading: Common Issues in Dash Application, Course Summary, Congratulations and Next Steps, Thanks from the Course Team, IBM Digital Badge
Course: Introduction to Google SEO
Modules:
Course Introduction, Introduction to Google SEO, SEO as a Career, SEO in Non-SEO Specific Roles, How Search Engines Work, Search Engine Evolution, 3 Key Areas of SEO
5 Best Practices for SEO, Algorithm Updates: History, Part 1, Algorithm Updates: Important Algorithms, Part 2, SEO Resources (Optional)
SEO of Today, Tomorrow, and Beyond, Core Web Vitals, EEAT & YMYL, Part 1, EEAT & YMYL, Part 2, Featured Snippets and Rich Snippets, Rich Results and Structured Data, Part 1, Rich Results and Structured Data, Part 2, The Ever-Changing Appearance of Search Results, AI Overviews (AIO), How Does Branding Influence Website Rank?
Your Audience and Building Personas, Persona Development, Marketing to Your Persona, Understanding User Intent and Its Role in Persona Creation, Crafting Your Buyer Persona, Part 1, Crafting Your Buyer Persona, Part 2, Course Summary
Course: Optimizing Your Google Cloud Costs
Modules:
Introduction: Optimizing Your Google Cloud Costs
Setting up budgets and alerts for cost management, Setting up cost controls with quota, Analyzing your committed use discounts, Setting up advanced cost controls
Getting Started with Google Cloud and Qwiklabs, Lab walk-through - set 1
Lab walk-through - set 2
Course: Pensamento Crítico, Lógica e Argumentação
Modules:
A importância da Lógica, do Pensamento Crítico e da Argumentação, TÓPICO 1 – O que é Pensamento Crítico?
TÓPICO 2 – O que está em discussão – Parte I, TÓPICO 2 – O que está em discussão – Parte II, O que é um bom argumento? - Parte I, O que é um bom argumento?  - Parte II
TÓPICO 4 - A reparação de argumentos, TÓPICO 5 – Será que isso é verdade?
Vídeo: TÓPICO 6 –Afirmações compostas – Parte I, TÓPICO 6 – Afirmações compostas – Parte II, Argumentos complexos
TÓPICO 8 – Generalidades – Parte 1, TÓPICO 8 – Generalidades – Parte 2, TÓPICO 9 – Afirmações ocultas: o que se deve sempre evitar, Afirmações ocultas: aula extra
TÓPICO 10 – Demasiada emoção é em geral falaciosa, TÓPICO 11 – Falácias: evitando os piores argumentos
TÓPICO 12 –Argumentos por analogia, TÓPICO 13 – Como não se enganar com números -Parte I, TÓPICO 13 – Como não se enganar com números – Parte II, Aula extra - Generalização e Estatística
TÓPICO 14 – Como o Pensamento Crítico ajuda a tomar as melhores decisões, Vídeo: Aula 15 – Causa e efeito (Cap. 15 do livro Pensamento Crítico o Poder da Lógica e da Argumentação)
TÓPICO 16 – Como se defender de fake news, negacionismo, desinformação e factóides -Parte I, TÓPICO 16 – Como se defender de fake news, negacionismo, desinformação e factóides – Parte II
Course: The Arduino Platform and C Programming
Modules:
Module 1 Introduction (video), Lecture 1.1: Arduino Platform, Lecture 1.2: Arduino Board, Lecture 1.3: Direct Programming, Lecture 2.1: Arduino Schematics, Lecture 2.2: Arduino IDE, Lecture 2.3: Compiling Code, Lecture 3.1: Arduino Shields and Libraries, Lecture 3.2: Arduino Basic Setup
Module 2 Introduction (video), Lecture 1.1: Setting Up Your Environment, Lecture 1.2: Hello World, Lecture 1.3: Variables, Lecture 2.1: Basic C Operators, Lecture 2.2: Conditionals, Lecture 2.3: Loops, Lecture 3.1: Functions, Lecture 3.2: Global Variables
Module 3 Introduction (video), Lecture 1.1: Arduino Toolchain, Lecture 1.2: Cross-Compilation, Lecture 1.3: Arduino Sketches, Lecture 2.1: Classes, Lecture 2.2: Sketch Structure, Lecture 2.3: Pins, Lecture 3.1: Input and Output, Lecture 3.2: Blink Example, Video Demonstration: Arduino Blink Example
Module 4 Introduction (video), Lecture 1.1: Debugging, Lecture 1.2: Debug Environments, Lecture 1.3: Debug via Serial, Lecture 2.1: UART Protocol, Lecture 2.2: UART Synchronization, Lecture 2.3: UART Parity and Stop, Lecture 3.1: Serial on Arduino (Updated), Lecture 3.2: Reading from Serial
Course: Migrating SAP Workloads to AWS
Modules:
Migrating SAP Workloads to AWS
Course: Sustainable Construction in a Circular Economy
Modules:
Introduction to Healthier Materials and Sustainable Building, Introduction to Sustainable Construction in a Circular Economy, Introduction to From Blueprint to Building, The Significance of Materials Health to Contractors, Defining Practices and Coordinating Subcontractors, Writing and Implementing Healthier Specifications, Materials Procurement and Tracking, Protective Measures through Installation, Building in the Context of Healthy Environments: Q&A with Dennis Rijkhoff, Selecting Healthier Furnishings, From Blueprint to Building Conclusion
Introduction to Disrupting the Status Quo: Design Through the Lens of Circularity, The Toxic Legacy of Today's Building Industry, Hand-in-Hand: Innovation and Circularity, Waste as a Resource: Urban Mining, Opportunities Arising from Circularity, Maintaining Trust and Managing Expectations, Fundamental Market Changes, Disrupting the Status Quo: Design Through the Lens of Circularity Conclusion
Introduction to Professional Practice in an Evolving World, The International Movement towards Circular Cities, Regenerative Cities: The Ecopolis, Digital Technology's Role in Supporting Circularity and Health, Innovating Material Systems, The Importance of Policy to Drive Change, Building from the Ground Up: A Localized and Harmonized Approach, Professional Practice in an Evolving World Conclusion, Sustainable Construction in a Circular Economy Conclusion
Course: Electrodynamics: An Introduction
Modules:
Introduction, 1-1 Introduction to Electromagnetism, 1-2 Introduction to Electrodynamic Equations
2-1 Scalars and Vectors, 2-2 Applying the ∇ Operator
3-1 Deriving Gauss' Theorem, 3-2 Flow and Circulation
4-1 Electrostatics and Electric Potential, 4-2 The Flux of an Electric Potential
5-1 Electrostatic Fields, 5-2 Fields Inside of Shells, Summary
Course: Intro to Dall-E and GPT Vision
Modules:
Intro to Dall-e &  GPT Vision Assignment
Course: Java程序设计
Modules:
1_1.1_Java历史与发展, 1_1.2_Java语言的特点：C++--, 1_1.3_Java运行机制：跨平台的原因, 1_2.1_面向对象程序设计, 1_3.1_(附加)James_Gosling谈Java
2.1 Java程序的类型:Java程序的类型及构成, 2.2 开发Java 程序的基本步骤:程序的编译与运行, 2.2 开发Java 程序的基本步骤:applet的编译与运行, 2.2 开发Java 程序的基本步骤:JDK中的其他几个工具, 2.3 基本输入输出编程:文本界面的输入与输出, 2.3 基本输入输出编程:图形界面的输入与输出, 2.3 基本输入输出编程:Applet的输入输出, 2.4 Java编程工具
3.1 数据类型、变量与常量, 3.2 运算符与表达式: 运算符, 3.2 运算符与表达式: 表达式及查看反汇编的代码, 3.3 流程控制语句: 简单语句, 3.3 流程控制语句: 分支语句——if及switch, 3.3  流程控制语句: 应用示例及窗体设计器, 3.3  流程控制语句: 循环语句, 3.3  流程控制语句: 特殊控制语句, 3.4  数组: 数组的定义和使用, 3.4 数组: 多维数组及示例
4.1	类、字段、方法: 类、字段、方法、构造方法, 4.1 类、字段、方法: 使用this, 4.2  类的继承: 类的继承、字段与方法的增加与覆盖, 4.2  类的继承: 使用super, 4.3 包: 包的含义及使用, 4.4 访问控制符: public,protected,private及默认, 4.5 其他修饰符: static, final, abstract, 4.6 接口: 接口的定义及实现, 4.6接口: 接口中的常量、枚举、Java8对接口的扩充, 4.7语法小结：类定义及java文件的内容
5.1 变量及其传递, 5.2 多态和虚方法调用:多态和虚方法调用, 5.2 多态和虚方法调用:非虚的方法调用, 5.3 对象构造与初始化:对象构造与初始化, 5.3 对象构造与初始化:***构造方法的执行过程(*较高要求), 5.4 对象清除与垃圾回收, 5.5 内部类与匿名类:内部类, 5.5 内部类与匿名类:***嵌套类(*较高要求), 5.5 内部类与匿名类:局部类及匿名类, 5.6 Lambda表达式:***Lambda表达式(*较高要求), 5.7 ***装箱、枚举、注解(*较高要求), 5.8 没有指针的Java语言:***引用与指针(*较高要求), 5.8 没有指针的Java语言***相等还是不等(*较高要求)
6.1异常处理: 异常的抛出与捕获, 6.1异常处理: 受检的异常, 6.2 自定义异常, 6.3 断言及程序的测试, 6.4 程序的调试
7.1  Java语言基础类:Object、Math、System类, 7.2  字符串和日期:String及StringBuffer类, 7.2  字符串和日期:日期类, 7.3  集合:Collection API及List, 7.3  集合:Stack及Queue, 7.3  集合:Set及Map, 7.4  排序与查找, 7.5  泛型:(***)自定义泛型(*较高要求), 7.6  常用算法:遍试、迭代, 7.6  常用算法:递归、回溯
8.1  线程的创建:创建线程的几种写法, 8.1  线程的创建:多线程编程示例, 8.2  线程的控制:线程的状态与控制, 8.3  线程的同步:（***）线程的同步控制（*较高要求）, 8.4  并发API:原子变量及线程安全的集合, 8.4  并发API:线程池及Timer, 8.5  流式操作及并行流:（***）流及并行流（*较高要求）
9.1 输入输出流:流及分类, 9.1 输入输出流:不同内容的读写, 9.1 输入输出流:应用示例：背单词, 9.1 输入输出流:应用示例：网络流, 9.2  文件及目录, 9.3  正则表达式:正则表达式的基本写法, 9.3  正则表达式:正则表达式的基本应用, 9.3  正则表达式:应用示例：网络爬虫
10.1  组件:图形用户界面组件及分类, 10.2  实现界面的三步曲:组件、布局、事件, 10.3  布局管理:常用的几种布局, 10.4  事件处理:事件及事件监听器, 10.4  事件处理:实现监听器的几种方法, 10.4  事件处理:应用示例--排块游戏, 10.4  事件处理:应用示例--小小计算器, 10.5  常用组件的使用:常用组件, 10.5  常用组件的使用:应用示例--文本编辑器, 10.6  Applet:小应用程序
11.1 网络编程:网络信息获取, 11.1 网络编程:应用示例--获取建议词, 11.1 网络编程:使用Socket编程, 11.2  多媒体编程:绘图及图像, 11.2  多媒体编程:音频及视频的播放, 11.3  数据库编程:数据库基础知识, 11.3  数据库编程:JDBC对数据库的访问, 11.3  数据库编程:编写基于数据库的应用, 11.3  数据库编程:应用示例--小小通讯录
12.1  写好程序的一些经验:写好单词、语句、函数及类, 12.2  重构:重构的时机与方法, 12.3  设计模式:设计模式及JDK中的应用, 12.4  反射:反射及应用, 12.4  反射:自定义注记
Course: Python Programming Fundamentals
Modules:
Introduction to Python Programming Fundamentals, Stepping Through an Algorithm, Testing an Algorithm for a Numerical Sequence, A Pattern of Squares, Testing a Pattern of Squares, Drawing a Rectangle, Closest Point, Generalizing Closest Point, Everything is a Number
Semantics: What Does Code Mean?, Variables and Expressions, Functions, Printing, Conditional Statements, Loops, Revisiting Intersection of Two Rectangles, Planning isPrime, Generalizing isPrime, Translating isPrime to Code, Tuples, Why VS Code, Intro Lab
Testing Means Finding Bugs, Test-Driven Approaches, Test-Driven Development, Code Review, Debugging: The Scientific Method, Debugging: Hypotheses
Lists: References to Mutable Objects, Lists: Iteration, Lists: Indexing and Slicing, Heart Rate Introduction, Heart Rate Peaks, Heart Rate Code, Heart Rate isPeakAt
Course: Abschlussprojekt: Projektmanagement in der realen Welt anwenden
Modules:
Einführung in Kurs 6, Projektchartas: Zweck und Komponenten, Projektchartas: Stakeholder-Abstimmung, Projektchartas: SMART-Ziele entwerfen, Projektchartas: Umfang, Nutzen und Kosten definieren, Afsheen: Projekte effektiv initiieren, Eine Stakeholder-Analyse durchführen, Lösungen finden, die für beide Seiten vorteilhaft sind, Stanton: Änderungen am Umfang gemeinsam mit Stakeholdern managen, Einflussnahme in Verhandlungen, Zusammenfassung
Einführung: Einen Projektplan erstellen, Projektaufgaben identifizieren: Dokumentation analysieren, Projektaufgaben identifizieren: Eine Online-Recherche durchführen, Projektaufgaben identifizieren: Wichtige Gespräche analysieren, Aufgaben anordnen und Meilensteine identifizieren, Zeitschätzung: Die richtigen Fragen stellen, Zeitschätzung: 3-Punkt-Schätzung, Zeitschätzung: Bewertungen des Konfidenzniveaus anwenden, Zeitschätzung: Effektive Verhandlung über Zeitschätzungen, Zeitschätzung: Empathische Verhandlungen, Torie: Als Programmmanagerin Empathie zeigen, Zusammenfassung
Einführung: Qualitätssicherung, Schlüsselkonzepte des Qualitätsmanagements, Qualitätsstandards definieren, Bewertungsfragen erstellen, Ermittlung von Bewertungsindikatoren, Entwicklung einer Umfrage, Eine Bewertungspräsentation halten, Der Wert von Retrospektiven, Retrospektiven: Aktive Beteiligung fördern, Retrospektiven: Verantwortlichkeit fördern, Retrospektiven: Mit Negativität umgehen, Dana: Positive Retrospektiven leiten, Zusammenfassung
Einführung: Mit Stakeholdern effektiv kommunizieren, Projektprobleme kommunizieren, Chris: Die Kunst der Problemlösung, Verbindung zwischen Projektproblemen und Zielen herstellen, E-Mails schreiben, um ein Problem zu eskalieren, Laura: Best Practices für die Kommunikation mit den Stakeholdern, Abschlussbericht erstellen, Projekt-Impact-Report, Zusammenfassung, Persönlicher Abschlussbericht, Kurzpräsentation meistern, Die STAR-Methode, Online-Bewerbungsgespräche, Tipps für Vorstellungsgespräche von Google-Mitarbeitenden, Glückwünsche von Ihren Kursleitenden, Berufliche Möglichkeiten entdecken
Course: 데이터 과학이란 무엇인가?
Modules:
성공의 열쇠: Coursera 학습을 위한 전문가의 팁, 데이터 과학이란 무엇인가?, 데이터 과학으로 가는 다양한 경로, 새로운 데이터 과학자를 위한 조언, 데이터 과학자의 하루, 데이터 과학의 주제 및 알고리즘, 클라우드란 무엇인가?
데이터 과학 기술 및 빅 데이터, New York University의 데이터 과학자, Hadoop이란 무엇인가?, 신경망 및 딥 러닝, 기계 학습의 응용, 어떻게 데이터 과학자가 될 수 있는가?, 고등학생 및 데이터 과학 직업을 가진 사람
기업은 데이터 과학을 어떻게 시작해야 할까?, 데이터 과학 도입, 데이터 과학의 응용
Course: Leadership in Interprofessional Informatics
Modules:
Welcome, The Who What When Where and Why of Leadership in Interprofessional Informatics
Team Fundamentals
Team Evolution and Dynamics
Theory of Collective Impact for Interprofessional Informatics Leadership Success
The Future of Interprofessional Informatics Leadership
Building Your Nursing Informatics Leadership Portfolio
Course: Grabación y postproducción musical dentro y fuera del estudio
Modules:
Presentación del curso, La relación entre arreglo y grabación, Especificaciones de micrófonos, Tipos de micrófonos, Cómo montar un micrófono, Entrevista con Federico, músico y productor independiente
Ganancia en un micrófono, Cómo seleccionar un micrófono, Flujo de señal en un estudio de grabación, Técnicas en estéreo, Grabación de batería, Otras características de micrófonos, Tipos de sesiones, Entrevista a Nestor, productor musical
¿Qué intentamos lograr con una mezcla?, Ecualización, Compresión, Retraso y reverberación, Tratamiento acústico, Entrevista a Jorge, técnico académico en el LIMME, Entrevista con Mario, compositor y arreglista
Procedimiento de mezcla, Mastering: Preparación, EQ y compresión, Maximización de volumen y finalización
Course: أساسيات برنامج مايكروسوفت وورد | Essentials of MS Word
Modules:
أهمية برنامج "مايكروسوفت وورد", إصدارات البرنامج المتعددة, واجهة المستخدم, إنشاء مستند جديد, التنقل داخل الملف (Navigation) وحفظه, الخاتمة
Course: Gemini for DevOps Engineers - 繁體中文
Modules:
開發運作工程師專用 Gemini 簡介, 運用 Gemini 簡化微服務作業