dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Python Functions, Files, and Dictionaries
Modules:
Introduction to the Specialization, What’s New? Updates and Improvements in the Second Edition, Welcome to Python Functions, Files, and Dictionaries, How to Use the Interactive Textbook, Executing Python in the Jupyter Environment, Introduction: Files, Reading a File, Finding a File in Your File System, Writing to a File, Using With to Open Files, Conclusion: Files, Introduction: .csv Format, Reading a .csv File, Writing Data to a .csv File, Reading from Files with the csv Module, Writing to Files with the csv Module, Tips on File Naming, Conclusion: .csv Format, How to Submit Assessments, Recovering from corrupted assignment notebooks
Introduction: Dictionary Mechanics, Dictionaries, Demonstration: Dictionary Basics, Dictionary Operations, Dictionary Methods, Demonstration: Dictionary Methods, Aliasing and Copying with Dictionaries, Conclusion: Dictionary Mechanics, Introduction: Dictionary Accumulation, Dictionary Accumulation, Demonstration: Dictionary Accumulation, Accumulating Results From a Dictionary, Accumulating the Best Key, csv Module with Dictionaries, Conclusion: Dictionary Accumulation
Introduction: Functions, Defining Functions, Positional Parameter Passing, Returning Values, Way of the Programmer: Decoding a Function, A Function that Accumulates, Type Hinting, Conclusion: Functions, Introduction: Variable Scoping and Side Effects, Local and Global Variables, Function Composition, Mutable Objects and Side Effects, Test Cases for Functions, Way of the Programmer: Enforcing Variable Typing for Function Parameters, Conclusion: Variable Scoping and Side Effects, Introduction: Tuple Packing and Unpacking, Tuple Packing, Tuple Assignment with Unpacking, Conclusion: Tuple Packing and Unpacking
Introduction: While Loop, The While Statement, The Listener Loop, Break and Continue, Way of the Programmer: Infinite Loops, Conclusion: While Loop, Introduction: Advanced Functions, Introduction: Optional Parameters, Mutation and Optional Parameters, Keyword Parameters, Testing Optional Parameters, Test-Driven Program Development, Anonymous Functions with Lambda Expressions, Conclusion: Advanced Functions
Introduction: Sorting Basics, Invoking .Sort and Sorted, Optional Reverse Parameter, Optional Key Parameter, Conclusion - Sorting Basics, Introduction: Advanced Sorting, Sorting a Dictionary's Keys, Breaking Ties, Way of the Programmer: When to Use a Lambda Expression, Conclusion: Advanced Sorting, Introduction: Running Python Elsewhere, Installing Python and VS Code Locally on Windows, Installing Python and VS Code Locally on Mac, Using VS Code, Running Python in the Cloud, Introduction - Final Course Project
Course: Analyzing and Visualizing Data the Google Way
Modules:
Asking the data question, Pulling data into Google Sheets, Getting Started with Google Cloud and Qwiklabs, Priming the data for analysis, Performing the data analysis, Sharing insights with others
Course: Структуры данных Python
Modules:
Приветственное видео - Dr. Chuck, 6.1 - Строки, 6.2 - Работа со строками, Рабочее упражнение. 6.5, Бонус. Рабочие часы в Нью-Йорке, Бонус. Университет Монаша. Музей истории вычислительной техники, Шутка. Создатели учебника встречаются с @PyCon
Демонстрация. Использование Python Playground, Windows 10. Установка Python и создание программы, Windows 10. Создание скриншотов, Macintosh. Использование Python и создание программы, Macintosh. Создание скриншотов
7.1 - Файлы, 7.2 - Обработка файлов, Демонстрация. Рабочее упражнение 7.1., Бонус. Рабочие часы в Барселоне, Бонус. Гордон Белл - компоновочные блоки в вычислениях
8.1 - Списки, 8.2 - Работа со списками, 8.3 - Списки и строки, Шутка. Списки Python в Париже, Рабочее упражнение. Списки, Бонус. Рабочие часы в Чикаго, Бонус. Расмус Лердорф - разработка языка PHP
9.1 - Словари, 9.2 - Подсчет с помощью словарей, 9.3 - Словари и файлы, Рабочее упражнение. Словари, Бонус. Рабочие часы в Амстердаме, Бонус. Брендан Айх - разработка Javascript, Шутка. Dr. Chuck идет на мотокросс
10 - Кортежи, Рабочее упражнение. Кортежи и сортировка, Бонус. Рабочие часы в Пуэбла, Мексика, Бонус. Джон Резиг - разработка JQuery, Дуглас Крокфорд: нотация объектов JavaScript (JSON), Шутка. Самый лучший тако в мире
Церемония окончания курса, Dr.Chuck: Итоги/Что дальше
Course: Intermediate Rust Programming and Web Server Development
Modules:
Introduction - Create Project, Fixed-Size Variables, Dynamic-Sized Variables, Basic Collections, Closures, Number Literals and Raw Strings, Working Low Level with Binary, Rust Std Library
Introduction - Create Module, Enums - Your First Enum, Enums - Result Enum with Generics Introduction, Enums - Option Enum with Some or None, Rusts Result and Option, Structs - Your First Struct, Structs - Using Type Impl, Traits Introduction, Polymorphism with Traits and Generics, Lifetimes - Introduction, Lifetimes - Generics and Structs, Pattern Matching - Integer, Option, and Result, Pattern Matching - Mixed Data Enum, Pattern Matching - Match Guards and Structs, Your First Async API Call, Handling Errors, Collections Revisited - HashMaps and HashSets, Project Cleanup
Declarative Macros - Introduction, Declarative Macros - With Repetitions, Procedural Macros (Theory) - Introduction to Derive, Procedural Macros (Theory) – Function-Like Macro, Procedural Macros (Theory) – Attribute-Like Macro, Procedural Macros (Practice) - Building an AI Function, Smart Pointers - Box, Smart Pointers - Reference Counting with RefCell, Smart Pointers - Reference Counting with Weak, Rust Concurrency with Mutex and Arc, Publish Packages to Crates
Theory - Introduction to Web Servers and Actix Web, Theory - Actix Web REST API Docs Walkthrough, Project Setup, Struct Definitions, Database Implementation, Creating AppState with Mutex Provided Safety, Writing Our Initial Web Server, Testing Create Task Rest API Endpoint with Postman, Create and Test GET Task Request, Complete Task CRUD, User Registration and Login, Mutation Adjustment, Next Steps
Course: The Digital Marketing Revolution
Modules:
Course Introduction, Meet Your Instructors, Meet Your Instructor - Steve Raquel, The Impact of the Gies Community, Digital vs. Analog (Part 1), Digital vs. Analog (Part 2), Basic Concept: Domination, Lecture 1: Efficiency (Part 1), Lecture 1: Efficiency (Part 2), Case Study: Apple AirTags, Lecture 2: Democracy (Part 1), Lecture 2: Democracy (Part 2), Expert Interview: Brooke Elliott, Exercise: Online Review
Basic Concept: Resistance, Lecture 1: Physicality (Part 1), Lecture 1: Physicality (Part 2), Case Study: Disposable Cameras, Lecture 2: Protection (Part 1), Lecture 2: Protection (Part 2), Expert Interview: William Best, Exercise: Letter Writing
Basic Concept: Synergy, Lecture 1: Glocal (Part 1), Lecture 1: Glocal (Part 2), Case Study: Amazon Go, Lecture 2: TouchTech (Part 1), Lecture 2: TouchTech (Part 2), Expert Interview: Craig Steensma, Exercise: Augmented Reality App
Basic Concept: Transformation, Lecture 1: Embracing (Part 1), Lecture 1: Embracing (Part 2), Case Study: Museum of Ice Cream, Lecture 2: Distancing (Part 1), Lecture 2: Distancing (Part 2), Expert Interview: Matt Difanis, Course Conclusion, Learn on Your Terms, Exercise: Digital Detox
Course: Optimización de Redes Neuronales Profundas
Modules:
Universidad Austral, Bienvenida, Separación del Set de Dato, Sesgo y Varianza, Regularización, Regularización por "Dropout", Problemas con el Gradiente, Estandarización de X Inicialización de W
Mini-Bach y Descenso de Gradiente, Media móvil ponderada, Descenso de Gradiente con Momentum, RmSprop & Adam, Decaimiento del ratio de aprendizaje
Elección y optimización de Hiperparámetros, Normalización por Lotes, Activación por Softmax, introducción a Keras
Course: Computational Thinking for K-12 Educators Capstone
Modules:
Welcome, AP CS Principles Create Task: Algorithms, Abstraction and Creativity, Create Task: Getting Started, Demo: From Game to Create Task Submission
Try Applying the Scoring Guidelines, Do You Agree?, Keep Working on your Create Task!
Learn by evaluating others!, How do I finish up this course and specialization?  I need UCSD credit!, Copy of How do I finish up this course and specialization?  I DO NOT need UCSD credit
Finish your program!, Complete your Create Task response
Course: Líder: construye una cultura organizacional del futuro
Modules:
Bienvenida, Efectos de las generaciones en la cultura organizacional, ¿Nuevos valores? ¡Actualízalos!, Hacia una cultura sustentable, diversa e inclusiva
Course: Operations Management
Modules:
What is operations management?, ASM, mass production, Evolution of the scope of operations, Convergence i4.0, servitization and sustainability, Process management
Why operations strategy, Order winners and qualifiers, Trade-offs, static and dynamic, Importance x performance matrix, Operations decision areas
The traditional way: PIHI, A new way: the value prism I, A new way: the value prism II, Queueing theory, Revenue management, The 5-gap model
How much money can you make?, How much money can you make? Solution, The objectives of Theory of Constraints, Principles I, Principles 2, The ToC improvement and use of ToC in services
Process analysis - introduction, Process analysis - tools, Quality management - Introduction, Quality management - tools, Recording of Live Session - Operations Management on 22-07-11 20:17:14 [15:31]
Course: Trabajar con datos en Android
Modules:
Introducción al curso, Lo que sabe sobre HTTP, RESTfulness, Convenciones de nomenclatura, Herramientas esenciales para el desarrollo de API, Prácticas recomendadas de REST, Seguridad y autenticación en la API de REST, Control de acceso, Resumen del módulo: Introducción a las API de REST
Contacto con servidores, protocolo HTTP y llamadas asíncronas, Protocolo HTTP y llamadas asíncronas en acción, Lo que ha aprendido sobre JSON, Trabajar con JSON, Resumen del módulo: Interactuar con API de REST en Android
¿Qué es una base de datos?, ¿Cómo se relacionan los datos?, ¿Qué es el lenguaje de consultas estructurado?, Uso de SQL, Introducción a la sintaxis SQL, Base de datos CREATE y DROP, ¿Qué son las tablas en las bases de datos?, Tipos de datos numéricos, Tipos de datos de cadena, Valores predeterminados, Sentencia CREATE TABLE, Sentencia ALTER TABLE, Sentencia INSERT, Sentencia SELECT, Actualización de datos, Eliminación de datos, Resumen del módulo: Introducción a las bases de datos y SQL
¿Qué es SharedPreferences?, Trabajar con SharedPreferences, Conexión de SharedPreferences con el Estado, ¿Qué es SQLite?, Preparar Room, Conectar Room con el Estado, Resumen del módulo: Datos SQL en Android
Resumen del curso: Trabajar con datos en Android, Resumen del curso
Course: Encoder-Decoder Architecture - 繁體中文
Modules:
解碼器與編碼器的架構：總覽, 解碼器與編碼器的架構：研究室逐步操作說明
Course: Energy: The Enterprise
Modules:
It's Abstract, Uses, Greenhouse Gases & Global Warming
Stored Sunlight, Reflecting Energy, Natural Gas & Hydrofracking, Conversation: Economics & Environment
Innovations, Conversation: Moving & Storing Energy, Conversation: Batteries & Infrastructure, Supply & Demand, Conversation: Demand Response, Conversation: Business Strategies, Conversation: Distributed Network Integration, Embodied Energy, Customers of Today & Tomorrow
Workforce, Conversation: Tomorrow's Workforce, Conversation: Trends of the Utility Industry, Conversation: Workforce Culture & Safety, Energy is Complicated
Course: Understanding User Needs
Modules:
1.1 Introduction to User Needs Assessment, 1.2 Overview of Qualitative Research, 1.3 User Needs Assessment Mini-Project
2.1 Semi-Structured Interviews, 2.2 Components of an Interview Protocol, 2.3 Good Practices for Interview Protocols
3.1 Sample Interview, 3.2 Tips for Interviewing, 3.3 Observing Users, Sample Think-Aloud Protocol, 3.4 Extracting Data from Interview
4.1 Analyzing Qualitative Data, 4.2 Affinity Walls
5.1 Variations on User Needs Assessments, 5.2 Conclusion
Course: Business Intelligence (BI) Essentials
Modules:
Overview of IBM BI Analyst Professional Certificate, Course Introduction, Expert Viewpoints: BI Career Path, What Is Business Intelligence?, BI, Data Analytics, Data Science, and Data Engineering: A Comparison, Benefits of Business Intelligence, Expert Viewpoints: Skills of a BI Analyst, Expert Viewpoints: What Is BI and Why Is It Exciting?, Data Professional Roles, Roles in Business Intelligence, Career Opportunities and Paths in BI Analytics, A Day in the Life of a BI Analyst, Expert Viewpoint: Key Tasks in a Day in the Life of a BI Analyst
Overview of the Data Analyst Ecosystem, Types of Data, Understanding Different Types of File Formats, Sources of Data, Viewpoints: Working with Varied Data Sources and Types, Languages for Data Professionals, Overview of Data Repositories, RDBMS, NoSQL, Data Marts, Data Lakes, ETL, and Data Pipelines, (Optional): Data Lakehouses Explained, Introduction to Data Modeling, Foundations of Big Data, Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark, Viewpoints: Considerations for Choice of Data Repository, Data Integration Platforms, Viewpoints: Tools, Databases, and Data Repositories of Choice
Key Performance Indicators (KPIs) and Metrics, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Challenges in Implementing Business Intelligence, Expert Viewpoints: Types of Analytics and Metrics, Key Components of BI, Categories of BI Tools, Understanding Business Context and Requirements for BI Projects, Privacy and Security Issues Regulatory Compliance, Expert Viewpoints: Responsible Business Intelligence Practices
Identifying Data for Analysis, Data Sources, How to Gather and Import Data, What is Data Wrangling?, Tools for Data Wrangling, Data Cleaning, Viewpoints: Data Preparation and Reliability
Overview of Statistical Analysis, What is Data Mining?, Tools for Data Mining, Overview of Communicating and Sharing Data Analysis Findings, Viewpoints: Storytelling in Data Analysis, Introduction to Data Visualization, Introduction to Visualization and Dashboarding Software, Viewpoints: Visualization Tools, Data Visualization Techniques
Expert Viewpoints: Advice for Aspiring BI Analysts, Developing a Comprehensive BI Project, Expert Viewpoints: Applying BI Techniques, Expert Viewpoints: Showcasing Acquired Skills and Knowledge
Course: مجموعة أدوات عالم البيانات
Modules:
دافع التخصص, مجموعة أدوات عالم البيانات, الحصول على مساعدة, العثور على إجابات, نظرة عامة على برمجة R, نظرة عامة على الحصول على البيانات, نظرة عامة على التحليل الاستكشافي للبيانات, نظرة عامة على إعداد بحث قابل للتكرار, نظرة عامة على الاستنتاج الإحصائي, نظرة عامة على نماذج الانحدار, نظرة عامة على التعلم الآلي العملي, نظرة عامة على منتجات بيانات المباني, تثبيت برنامج R على نظام التشغيل Windows‏ {Roger Peng}, تثبيت برنامج R على نظام التشغيل Mac‏ {Roger Peng}, تثبيت برنامج Rstudio‏ {Roger Peng}, تثبيت البرامج الخارجية على نظام التشغيل Mac‏ (نظام التشغيل OS X Mavericks)
نصائح من مستخدمي Coursera - فيديو اختياري, واجهة سطر الأوامر, مقدمة عن Git, مقدمة عن Github, إنشاء مستودع Github, أوامر Git الأساسية, لغة Markdown الأساسية, تثبيت حزم R, تثبيت Rtools
أنواع الأسئلة, ما هي البيانات؟, ماذا عن البيانات الكبيرة؟, التصميم التجريبي
استطلاع بعد الدورة التدريبية
Course: Fitness Corporativo
Modules:
Bienvenida, Políticas y lineamientos de calificación, Políticas de Coursera
¿Qué es el fitness corporativo?, El fitness corporativo, la salud y el bienestar: diferenciadores clave para el éxito, ABC del fitness corporativo, El estrés laboral: un gasto oculto para la empresa, La nutrición como motor del bienestar y la productividad laboral, Áreas de trabajo como espacios lúdicos y de convivencia, Condiciones laborales saludables
La ciencia detrás del fitness corporativo, Rendimiento Cognitivo y Creativo, Incremento de aptitudes físicas y reducción de accidentes, Del Fitness Corporativo al bienestar y felicidad en la empresa, El fitness corporativo aumenta el valor de mercado de la empresa, Barreras para adoptar un programa de fitness corporativo, El fitness corporativo: ¿gasto o inversión?
¿Qué es la higiene postural?, Beneficios y estrategias para implementar la Higiene Postural en el trabajo, Diferencias entre acondicionamiento y ejercicio físico, Estrategias para incrementar el rendimiento laboral desde el bienestar, Acondicionamiento físico paso a paso, Ergonomía, higiene postural e higiene de columna
Matriz FODA del bienestar y salud en el trabajo, Rueda de la Vida, El coaching de vida y el coaching en salud: aliados del fitness corporativo, El ejercicio físico como potenciador de la productividad, Motivación y resistencia al cambio, La alimentación de los empleados es la nutrición de la empresa, Compañerismo y equipos de trabajo saludables
Encuesta de satisfacción, Muchas felicidades
Course: Los portafolios y las inversiones en el mercado de capitales
Modules:
Introducción al curso, Introducción al Precio y Valor de los Activos en el Mercado de Capitales, Eficiencia del Mercado de Capitales, conceptos de precio y valor, Introducción a la Eficiencia de Mercado y el Movimiento Browniano Geométrico, Proyección del precio de Apple
Introducción a los portafolios de inversión en el Mercado de Capitales, Riesgo - rentabilidad de los portafolios eficientes, Calcular el retorno y el riesgo de un portafolio, Diversificación del riesgo en la conformación de Portafolios
Introducción al Módulo 3, La frontera eficiente de Marcowitz, ¿Cómo construir la frontera eficiente?, El portafolio de mercado (S&P 500)
Modelos basicos de inversión, Construcción de la línea del mercado de Capitales, El Modelo C.A.P.M, Cierre del curso
Course: Elastic Cloud Infrastructure: Scaling & Automation italiano
Modules:
Introduzione al corso
Panoramica del modulo, Cloud VPN, Introduzione al lab: Configurazione di una VPN Google Cloud ad alta disponibilità, Coursera: Introduzione a Google Cloud e Qwiklabs, Cloud Interconnect e peering, Cloud Interconnect, Peering, Scegliere una connessione, VPC condiviso e peering VPC, Riepilogo del modulo
Panoramica del modulo, Gruppi di istanze gestite, Scalabilità automatica e controlli di integrità, Panoramica del bilanciamento del carico HTTP(S), Esempio: Bilanciatore del carico HTTP, Bilanciamento del carico HTTP(S), Introduzione al lab: Configurazione di un bilanciatore del carico HTTP con scalabilità automatica, Riepilogo del lab: Configurazione di un bilanciatore del carico HTTP con scalabilità automatica, Cloud CDN, Bilanciamento del carico del proxy SSL, Bilanciamento del carico del proxy TCP, Bilanciamento del carico di rete, Bilanciamento del carico interno, Introduzione al lab: Configurazione di un bilanciatore del carico interno, Riepilogo del lab: Configurazione di un bilanciatore del carico interno, Scelta di un bilanciatore del carico, Riepilogo del modulo
Panoramica del modulo, Terraform, Introduzione al lab: Automazione dell'infrastruttura delle reti utilizzando Terraform, Riepilogo del lab: Automazione dell'infrastruttura delle reti utilizzando Terraform, Google Cloud Marketplace, Demo: Lancia soluzioni di infrastruttura su Google Cloud Marketplace, Riepilogo del modulo
Panoramica del modulo, BigQuery, Dataflow, Dataprep, Dataproc, Demo: Dataproc, Riepilogo del modulo, Riepilogo della serie di corsi
Course: Smart Analytics, Machine Learning, and AI on GCP - Italiano
Modules:
Introduzione al corso
Introduzione al modulo, Che cos'è l'AI?, Dall'analisi dei dati ad hoc alle decisioni basate sui dati, Opzioni per i modelli di ML su Google Cloud
Introduzione al modulo, I dati non strutturati sono complessi, API ML per l'arricchimento dei dati, Introduzione al lab: Utilizzare l'API Natural Language per classificare il testo non strutturato, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Introduzione al modulo, Cos'è un blocco note?, Le funzioni comando magico di BigQuery e i legami con Pandas, Introduzione al lab: BigQuery in JupyterLab su Vertex AI
Introduzione al modulo, ML in Google Cloud, Vertex AI Pipelines, TensorFlow Hub, Introduzione al lab: Eseguire pipeline su Vertex AI, Riepilogo
Introduzione al modulo, BigQuery ML per la creazione rapida di modelli, Modelli supportati, Introduzione al lab: Prevedi la durata dei viaggi in bicicletta con un modello di regressione in BigQuery ML, Introduzione al lab: Consigli sui film in BigQuery ML, Riepilogo
Introduzione al modulo, Perché AutoML?, AutoML Vision, Elaborazione del linguaggio naturale AutoML, AutoML Tables, Riepilogo
Riepilogo del corso
Smart Analytics, Machine Learning and AI on Google Cloud
Course: Ethical Issues in AI and Professional Ethics
Modules:
Course Overview: Part 1, Course Overview: Part 2, Kantianism and Virtue Ethics: Part 1, Kantianism and Virtue Ethics: Part 2, Utilitarianism and Social Contract Theory: Part 1, Utilitarianism and Social Contract Theory: Part 2
Overview of Algorithmic Bias: Part 1, Overview of Algorithmic Bias: Part 2, Examples of Algorithmic Bias: Part 1, Examples of Algorithmic Bias: Part 2, Algorithmic Bias and other Ethical Issues in Facial Recognition: Part 1, Algorithmic Bias and other Ethical Issues in Facial Recognition: Part 2, Legal and Regulatory Issues in Facial Recognition: Part 1, Legal and Regulatory Issues in Facial Recognition: Part 2
Algorithmic Bias Related to Gender and Race: Part 1, Algorithmic Bias Related to Gender and Race: Part 2, Gender and Race in Algorithms: Part 1, Gender and Race in Algorithms: Part 2
Professional Ethics in Computing: Part 1, Professional Ethics in Computing: Part 2, Gender and Race in the Computing Workforce: Part 1, Gender and Race in the Computing Workforce: Part 2, Diversity in the Computing Workforce: Part 1, Diversity in the Computing Workforce: Part 2, Professional Interview Reports: Part 1, Professional Interview Reports: Part 2
Ethical Issues Related to Generative AI: Part 1, Ethical Issues Related to Generative AI: Part 2, Ethical Issues Related to the Future of AI: Part 1, Ethical Issues Related to the Future of AI: Part 2
Course: Automotive Industrial Engineering
Modules:
Welcome & introduction, Automotive industrial engineering overview, Automotive engineering fundamentals, Automotive industry fundamentals, Early Beginnings and birth of the automobile, Mass production and assembly line revolution, Post-war expansion and globalization, Modern automobiles & vehicles, Modern automotive markets, Modern automotive industry dynamics
Introduction to Module 2, Overview of automotive components, Technical concepts in automotive engineering, Powertrain engineering & components, Automotive systems overview, Automotive electronics, Automatic control & software, Automotive materials overview, Materials in the automotive sector, From materials to components
Introduction to Module 3, Introduction to automotive supply chain, Procurement strategies and supplier management, Production planning and control, Inventory management and control, Logistics, transportation, distribution, Challenges in the global supply chain management, Enhancing supply chain efficiency, Sustainability, Current challenges
Introduction to Module 4, Introduction to strategic management, Corporate strategy, Market positioning and competitive strategy, Process flow and optimization, Cost management and value creation, Financial planning and performance analysis, Technological innovation, R&D, Sustainability initiatives and practices, Adaptability to changing markets and tech disruptions, Wrap-up & key takeaways
Course: Gemini for Network Engineers - Français
Modules:
Présentation de Gemini pour les ingénieurs réseau, Concevoir un réseau d'entreprise avec Gemini
Course: Introduction to Back-End Development
Modules:
Introduction to the Program, Introduction to the course, Front-end, back-end and full-stack developer roles, A day in the life of a back-end developer, How the internet works, What is a web server and how does it work?, What are websites and webpages?, What is a web browser and how does it work?, Web hosting, Introduction to Internet Protocols, Introduction to HTTP, Intro to HTML, CSS and Javascript, Webpages, Websites and Web Apps, Developer tools, Frameworks and libraries, APIs and services, What is a an IDE?, Module Summary - Get started with Web Development
What is Hyper Text Markup Language?, HTML documents, Linking documents, Adding images to a webpage with HTML, Use HTML to work with data in tables, What are forms?, Introduction to the DOM, Web accessibility, Selecting and styling, Box model introduction, Document flow - block vs. inline, Module Summary - Introduction to HTML and CSS
Working with libraries, Introduction to responsive design, Getting started with Bootstrap, Using Bootstrap styles, Bootstrap grid, Bootstrap components, Static and dynamic content, Single page applications, What is React?, How React works, Component hierarchy, Module Summary: UI Frameworks
Course 1 Recap: Introduction to Web Development, Congratulations, you have completed Introduction to Web Development
Course: Introduction to Typography
Modules:
Course Welcome, Why Peer Review?, Peer Review Tips, How to apply feedback, Font versus Typeface, Stroke and Proportion, Type Anatomy, Measuring Type, Choosing a Typeface
Typefaces and their Stories, Bembo: Humanist Letters, Didot: Enlightened Refinement, Clarendon: Type for the Masses, Futura: the Typographic Avant-Garde, Helvetica: International Modern, Scala Sans: Typographic Remix
Working with Type, Typographic Space, Page Space, The Grid, Creating Hierarchy, Typographic Conventions
Making Meaningful Type, Typesetting with Expression, Beyond Typesetting, The Typographic Poster
Course: Gemini in Google Docs
Modules:
Introduction to Gemini in Google Docs, Create Content with Gemini, Edit Prompts and Refine Text, Proofread Documents, Activity Explained
Course: Networking in Google Cloud: Defining and Implementing Networks en Français
Modules:
Présentation du cours "Networking in Google Cloud"
Présentation du module, Présentation du réseau VPC, IPv6, Types de routes, Routes générées par le système, Routes statiques personnalisées, Routes dynamiques, Utilisation de votre propre adresse IP, Interfaces réseau multiples, Présentation de l'atelier : Travailler avec plusieurs réseaux VPC, Coursera : Premiers pas avec Google Cloud Platform et Qwiklabs, Présentation du DNS, Règles Cloud DNS, Présentation de l'atelier : Orienter le trafic à l'aide de la géolocalisation, Récapitulatif du module
Présentation du module, Identity and Access Management, Contraintes liées aux règles, Règles de pare-feu, Présentation de l'atelier : Contrôler l'accès aux réseaux VPC, Récapitulatif du module
Présentation du module, Démonstration : VPC partagé, Démonstration : VPC partagé, Appairage de réseaux VPC, Importation et exportation de routes personnalisées, Présentation de l'atelier : Configurer un appairage de réseaux VPC, Migrer une VM entre des réseaux, Récapitulatif du module
Présentation du module, Équilibrage de charge, Équilibrage de charge hybride, Présentation de la gestion du trafic, Routage simple, Routage avancé et mises en garde concernant le routage, Présentation de l'atelier : Configurer la gestion du trafic avec un équilibreur de charge, Introduction, Topologies et inconvénients, Cloud CDN, Cloud CDN Interconnect, Présentation de l'atelier : Mettre en cache du contenu Cloud Storage avec Cloud CDN, Récapitulatif du module
Course: Understanding Diversity & Inclusion
Modules:
Understanding Diversity & Inclusion Introduction, Defining Diversity
Defining Inclusion
Fostering Diversity, Equity and Inclusion, Wrap Up
Course: Climate Change Mitigation in Developing Countries
Modules:
Introduction to climate mitigation, Complexity of climate change and development, Climate change - a super wicked problem, Our theory of change, MAPS 101: the MAPS approach, Reflection and what's next
Introduction: change through co-production of knowledge, Motivating change agents in a system, Designing the scenario building process, Building scenarios for mitigating climate change, Process design in Brazil, Using the Chaordic Stepping Stones process, Reflection, What's next
Introduction, Types of models, Model selection and sourcing of data, Communicating the model outputs, Who does the modelling?, Building development pathways in Peru, Reflection, What's next
Introduction: mind the gap, Defining the mitigation gap: global carbon budget, Developing national required-by-science and equity scenarios, Realising the mitigation gap scenario results, Reasons for the gap: technical perspective, Reasons for the gap: political perspective (part 1), Reasons for the gap: political perspective (part 2), Reflection: learning from failures, What's next?
Introduction: responding to mitigation challenges, Improving tools, Looking at science, New perspectives, Looking to the future, The next generation, Reflection, What's next?
Introduction: MAPS impacts on public policy, Bridge from knowledge to domestic policy, Knowledge on socio-economic implications of mitigation, Example on how MAPS Chile results were used for local pollutants domestic policy, Sectoral mitigation action plan in Colombia, Use of evidence in the Colombian sectorial mitigation plans, Bridge from domestic policy to international contributions, MAPS Chile informing the INDC, Climate Change Mitigation discussion with Harald, Reflection, Course Conclusion
Course: Political Economy of Institutions and Development
Modules:
Trailer, Introduction to Political Economy, The Evolution of Political Economy, International Political Economy
Mapping the World, Visualization: World Maps, Political Economy and Data, Population, Visualization: World Map of Population, Output (GDP current values), Visualization: World Map of GDP (Current Values), Output (GDP PPP), Visualization: World Map of GDP PPP, Poverty, Visualization: World Map of Human Development Index
Trust and Social Capital, Measuring Trust, Trust results  and Criticism, Visualization: World Map of Trust, Causes and Consequences, Correlation and Regression
Ethnic Fragmentation, Visualization: World Map of Ethnic Fragmentation, Linguistic Fragmentation, Visualization: World Map of Linguistic Diversity, Religious Fragmentation, Visualization: World Map of Religious Diversity, Income and Wealth Inequality, Visualization: World Map of Income Inequality, Inequality, Fragmentation and Trust
Good Governance, Measuring Governance, Democracy and Growth, Visualization: World Map of Democracy, Rule of Law and Growth, Visualization: World Map of Rule of Law, Corruption and Growth, Visualization: World Map of Corruption
State Failure, Who Gives Foreign Aid, to Whom, and Why, The Real Aid Givers, Aid Effectiveness
Globalisation. The Debate, World map of economic globalisation, Trade, World map of trade, Foreign Direct Investment, FDI modules, Financial Markets, The Globalised World Economy
Origins, Trade, Finance, Reflection
Cities, Big Business, Transnational Advocacy Groups, Supra-State Actors, The SDG initiative and your case study, Defining your case study, What effects the sustainability of your project, The form of your assignment
The Invisible Hand - Adam Smith, Utilitarianism - Jeremy Bentham, Relative Backwardness - Alexander Gerschenkron, Classical Liberalism  - Friedrich August von Hayek, Keynesianism - John Maynard Keynes, Critical Political Economy - Robert Cox, The Take Off - Walt W. Rostow, Marxism - Karl Marx, Small States - Peter Katzenstein, World Systems Theory - Immanuel Wallerstein, New Institutional Economics- Ronald Coase, Economic Structuralism- Raúl Prebisch
Course: Strategic Procurement and Sourcing Conclusions
Modules:
Welcome to Course 7, The Future Of Strategic Procurement
Wrap-Up
Course: Marketing Analytics Capstone Project
Modules:
Capstone Overview, Pre-Readings
Meaningful Marketing Insights - Course Objectives & Example 1: Political Advertising, Meaningful Marketing Insights - Course Goals & Example 2: Performing Arts Centers, Meaningful Marketing Insights - Organizing Data, Meaningful Marketing Insights - The Motion Picture Industry, Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data, Meaningful Marketing Insights - Displaying Conditional Distributions, Meaningful Marketing Insights - Analyzing Qualitative Variables, Meaningful Marketing Insights - Steps in Constructing Histograms, Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data
Data Preparation Instructions, Populating the Template, Review Forecasting Models for Marketing Decisions, Parts 1 - 3
Model Validation
Incorporating Additional Predictors, An Alternative Means of Evaluating Performance
Congratulations
Course: Rust for DevOps
Modules:
Meet your Course Instructor: Alfredo Deza, About this course, Introduction, Core DevOps Principles, What is automation?, Foundations of logging and monitoring, Visibility and accountability, Real-world examples of applied DevOps, Introduction, Version control and source code management, Testing and validation, Packaging and versioning, Linting and formatting, Using Rust vs. Python, Introduction, Exploring the concepts of containerization, Benefits of using containers for DevOps, What are container registries, Distroless containers with Rust, Cloud scaling and elasticity with containers
Introduction, Logging and monitoring intersection, Overview of monitoring tools, Push and Pull strategies, Granularity and retention policies, Introduction, Installing the ELK stack, Configuring the ELK stack, Adding a Prometheus endpoint in Rust, Connecting Prometheus and Grafana, Exposing a custom monitoring endpoint, Monitoring and logging strategies in Azure, Introduction, Adding logging to a Rust application, Using logging in Rust, Controlling verbosity levels, Structured logging
Introduction, Overview of automation tasks you can build, Crawling the filesystem, Building a Rust CLI to parse files, Parsing log files with Rust, Using Cron to automate recurring tasks, Introduction, Overview of complexities of running external programs, Strategies for parsing system command output, Avoiding issues with the path, Error reporting and handling techniques, File logging for error reporting, Introduction, When to use compliance, Using JSON with Rust, Building a compliance program, Improving reporting logic, Program reporting strategies
Introduction, What is CI/CD, Components of a job, Overview of the Jenkins platform, Introduction to GitHub Actions, Introduction, Automating common tasks, Managing interdependent jobs, Building a matrix job, Handling logic in workflows, Introduction, Identifying project needs, Setting up code linting for Pull Requests, Setting up Dockerfile linting for Pull Requests, Packaging and releasing a container application
Course: Perspectivas en Salud Pública: Ampliando la visión en salud
Modules:
¡Bienvenido(a) al curso!, ¿Qué entendemos por salud?, ¿Qué entendemos por Salud Pública?, ¿Qué hace la Salud Pública y cuáles son sus Funciones?, Los Sistemas de Salud: ¿Qué son y por qué existen?
¿Por qué la Salud Pública es una Ciencia Social?, Los determinantes sociales en salud, Las transiciones en salud
Desigualdades en salud, Promoción y prevención en salud, Las estrategias de la prevención
Salud Pública Global, ¿Ha sido de utilidad la Salud Pública para el mundo?, Desafíos a corto y mediano plazo de la Salud Pública. Perspectivas
Course: User Research and Design
Modules:
From User Research to Design, An Introduction to the Course
Introduction to User Research, Interview and Focus Groups, Observations, Contextual Inquiry, Ethics and Consent, Design a User Research Protocol
Log Analysis, Surveys and Questionnaires, Assignment Video:  Observing Users
Introduction: Translating User Research to Support Design, Qualitative Analysis, Quantitative Analysis, Personas I: What They Are; How They're Used, Personas II: Walking Through Examples, Use Cases, Tasks and Walkthrough Scenarios, Implications for Design
From Research to Ideas:  Module Introduction, Ideation, Idea Selection, Communicating Ideas to Stakeholders, Assignment Video: Ideation and Selection
Course: Measuring Total Data Quality
Modules:
Welcome to Course 2!, Measuring Validity for Designed Data, Example 1: Performing CFA and Examining Measurement Invariance in R, Approaches and Considerations for Measuring Quality for Gathered Data, Measuring Validity for Gathered Data, Measuring Data Origin Quality for Designed Data, Examples: Computing Measures of Data Origin Quality for Designed Data in R, Measuring Data Origin Quality for Gathered Data, Example 4: Measuring Validity and Data Origin Quality for Gathered Data
Measuring Processing Quality for Designed Data, Example: Computing Processing Metrics with Real Data and Code, Measuring Processing Quality for Gathered Data, Example: Computing Processing Metrics for Gathered Data, Measuring Data Access Quality for Designed Data, Example: Computing Access Metrics with Read Data and Code, Measuring Data Access Quality for Gathered Data, Case Study: Measuring Data Access Quality in Gathered Twitter Data
Measuring Data Source Quality for Designed Data, Example: Computing Data Source Metrics with Real Data and Code, Measuring Data Source Quality for Gathered Data, Example: Computing Data Source Quality Metrics with Real Data and Code, Measuring Threats to Data Source Quality: Designed Data, Example: Computing Data Missingness Metrics with Real Data and Code, Measuring Data Missingness for Gathered Data, Example: Computing Data Missingness for Gathered Data
Measuring the Quality of an Analysis of Designed Data, Example: Computing Measures of Data Analysis Quality for Designed Data in R, Measuring the Quality of an Analysis of Gathered Data, Example: Computing Metrics for Quality of Models of Gathered Data
Course: Introduction to Service Innovation and Management
Modules:
Course Introduction, Meet Your Faculty: George Moran, Module Introduction, Challenges Facing the Healthcare Ecosystem, Process Improvement Video, Consumer Adaptability Video, Change Management, Change Management at Mayo Clinic, Introduction to Job Theory, Jobs Theory and Patient Care, Ecosystem Implications Video
Module Introduction, People, Processes, and Technology, The Four Elements of Service Integration Video, The Patient Analytics Platform Video, Organizational Considerations, Employee Considerations in Process Improvement, The Importance of Commitment Video, Strategy Improvement: Healthcare in the Home Video
Organizational Change Video, Process Mapping Video, Decision Making and Process Improvement Video
Module Introduction, The 5 C's, Analytics and Evaluation
Course: AI for Marketing: SWOT Analysis
Modules:
Course Learning Objectives
What Workplace Data Shows, Marketing Trends and GPT Data, Key AI Definitions, What About Ethics, Four Qualifiers of Ethics, Rhetorical Prompting Method
Course: Confronting Gender Based Violence: Global Lessons for Healthcare Workers
Modules:
Welcome to Week 1, Epidemiology - Health Impact Frameworks, Confronting Gender Based Violence, Gender Based Violence and Sexual and Reproductive Health, Gender Based Violence and HIV, Bonus Lesson: Case Study from Rural Uganda- Integrating Violence Prevention into HIV Programming, Bonus Lesson: Country Case Study: India (Part 1), Policy and Practice, Engaging Men and Boys in Gender Based Violence Programs in India
Welcome to Week 2, Psychosocial Support for Survivors of SV/GBV, Stages of Change Approach, Safety Planning and Harm Reduction for Survivors of GBV, Part 1- Health Care for Women Subjected to Intimate Partner Violence or Sexual Violence: WHO Clinical and Policy Guidelines and Clinical Handbook, Part 2- Health Care for Women Subjected to Intimate Partner Violence or Sexual Violence: WHO Clinical and Policy Guidelines and Clinical Handbook, Bonus Lesson: Pigs for Peace: Livestock Microfinance Intervention to Improve Health and Economic Security in the Democratic Republic of Congo, Bonus Lesson: Swayam's Work and Pespectives on Violence Against Women, Tracking the Problem: GBV Research, Ethics and Safety, Lancet Series on Violence Against Women and Girls
Welcome to Week 3, Providing Competent, Compassionate, and Confidential Care to Survivors of Gender Based Violence, Direct Medical Care for Survivors of Gender Based Violence, Treatment and Disease Prevention for Survivors of Gender Based Violence, Medical Forensic Examination in Low Resource Settings, Bonus Lesson: Country Case Study: India (Part 2), Using Health as an Entry Point to Address Intimate Partner Violence: Insights from India, Violence Against Women and Role of Health Professionals
Welcome to Week 4, Bonus Lesson: mHealth for GBV-related Screening and Care, Bonus Lesson: Extended Lecture on Gender Based Violence: Epidemiology - Health Impact - Frameworks, Gender-Based Violence and Adolescents, Responding to Sexual Violence/GBV in Humanitarian Settings, Violence, Sex Work and Sex Trafficking, Girl Child Marriage- A Global Health Concern: Findings from India and Elsewhere, DOVE: A Promising Strategy for Reducing Perinatal GBV
Course: 紅樓夢(The Red Chamber Dream)
Modules:
1-1 讀者的重要性 (5:00), 1-2 讀者之難（一）— 直覺反應的常識 (15:13), 1-3 讀者之難（二）— 忽略細節 (13:16), 1-4 讀者之難（三）— 時代價值觀 (15:47), 1-5 讀者之難（三）— 時代價值觀：貴族 (12:47), 1-6 讀者之難（四）— 好惡褒貶 (9:00), 1-7 讀者之境界 (7:17)
2-1 曹雪芹其人其事 (15:28), 2-2 旗人貴族的百年榮華 (16:06), 2-3 從繁華到毀滅(15:47), 2-4 紅樓夢的創作意圖(12:56), 2-5 逕思往事中的慚恨自毀(12:37)
3-1 滿漢為一的儒家禮法觀 (7:20), 3-2 對當代王權的認同 (12:33), 3-3 世家顯爵的由來 (10:25), 3-4 貴族世家的禮節與規範(一) (13:10), 3-5 貴族世家的禮節與規範(二) (15:23), 3-6 王府生活的核心 ─ 倫理禮法 (13:12), 3-7 貴族世家的階級自豪 ─ 曹雪芹  (9:10), 3-8 貴族世家的階級自豪 ─ 脂硯齋 (15:40), 3-9 庄農進京式的解讀 (09:58)
4-1 重建寶釵嫁禍論 (10:12), 4-2 寶釵牽涉黛玉之因 (13:20), 4-3 賈府的免罪牌 — 林黛玉 (16:46), 4-4 林黛玉的雙重身分 (12:52), 4-5 再論金釧兒之死 — 寶釵的立場 (12:31), 4-6 再論金釧兒之死 — 寶釵的推論 (15:44), 4-7 尤、柳事件 (12:59), 4-8 任是無情也動人(17:12)
5-1 重建襲人告密論 (11:20), 5-2 建言內容的層次分析 （一）(18:49), 5-3 建言內容的層次分析 （二）(11:47), 5-4 襲人建言的脈絡分析 (10:17), 5-5 怡紅院眾婢間的關係 (14:23), 5-6 「燈姑娘」與「燈知道」— 平行同構的象徵意義（16:11）, 5-7 告密逐婢之真凶試探 — 襲人之清白 （11:54）, 第五單元作業延伸：告密逐婢之真凶試探 ：「流動與互動」—賈府中訊息網絡的建構, 第五單元作業延伸：告密逐婢之真凶試探 ：「勢利與對立」—密告者的相關人選
6-1 一見鍾情的強度與速度 — 賈雨村／嬌杏 (13:45), 6-2 一見鍾情的強度與速度 — 馮淵／甄英蓮 (09:17), 6-3 一見鍾情的強度與速度 — 柳湘蓮／尤三姐 (18:40), 6-4 一見鍾情的強度與速度 — 茗烟／萬兒 (08:22), 6-5 對才子佳人傳統的檢視與省思 (14:03), 6-6 何謂至情？ (15:06), 6-7 對情欲霸權論述的省思 (17:40), 6-8 日久生情的長度、深度與厚度 — 藕官／菂官 (05:38), 6-9 日久生情的長度、深度與厚度 — 賈寶玉／林黛玉 (18:36), 6-10 寶黛之情的根源 (15:40), 6-11 情／禮兼備 — 兩盡其道的痴理觀（一）(13:11), 6-12 情／禮兼備 — 兩盡其道的痴理觀（二）(10:34)
Course: Criterios para la Gestión y el Aseguramiento de la Calidad en la Educación Superior
Modules:
La experiencia de los Estudiantes
Fines de la Educación Superior y los Sistemas de Educación, Educación Superior en LATAM: Esperanzas y desafíos
Qué entendemos por Calidad
Sistemas de Calidad y Acreditación
Los Ranking Universitarios
Enseñar y Aprender en la Educación Superior: Desde el contexto de la Innovación
Accountability y Calidad en la Educación Superior
Course: العمل الجماعي والإبداع
Modules:
تعرّف على الأستاذة إليزابيث لاكمان, مقدمة إلى الوحدتين الأولى والثانية, تعرّف على الأستاذ جيف لوينشتاين وجاك غونكالو, الإبداع هو إحدى المهارات القيادية الأساسية, الإبداع هو مهارة يمكنك تعلّمها, العملية الإبداعية, المعرفة والقصص ووجهات النظر, استخدام وجهات النظر والإضافة إليها وتغييرها وبناؤها, فصل القصص عن وجهات النظر, ما الذي يضعنا على طريق الإبداع؟, إشارة الطريق المسدود, إشارة عدم الرضا, إشارة المفاجأة, إشارة التداخل
الأفكار ووجهات النظر, تدريب PAGES, تدريب PAGES - تابع, المزيد من PAGES, الرؤى, الابتكارات, التنوير, التماثل, إعادة التصنيف, تكوين الروابط, تداعي الأفكار, اختتام الوحدتين الأولى والثانية
مقدمة إلى الوحدات الثالثة والرابعة والخامسة, ضع الأمور في نصابها, تغيير وجهات نظر الآخرين, رواية القصص
في عين الناظر, هل أرغب في الإبداع؟, مؤشرات الإبداع, طارحو الأفكار
الربط بين العقول, الفِرق تَضع العوائق, التوافق, الطاعة العمياء, الاستقطاب, الشعور بأنك منحرف عن المجموعة رغم أنك لست كذلك, المعرفة المشتركة, الفرق التي لديها ثقة زائدة, لماذا نشعر بالإبداع عند العمل في فِرق؟, اختتام الوحدات الثالثة والرابعة والخامسة
Course: AI, Business & the Future of Work
Modules:
Course introduction, Module 1, Introduction, The Definition of AI, What is AI?, How Does AI Work, Difference Between Definitions of AI, with Irene Ek, Measuring AI, The Industrial Revolutions, with Kerstin Enflo, Effects of Technological Change, with Kerstin Enflo, Glossary of Key Terms, Module 1, Summary
Module 2, Introduction, Digitalization, AI and The Organization of Work with Samuel Engblom, Business Models with Pelle Kimvall, AI Strategy part 1: Process, AI Strategy part 2: Data, AI Strategy part 3: Knowledge, Implementing AI: Management Perspective with Joakim Wernberg, Introducing AI in the Organization with Marcus Henriksson, Purchasing AI, Software & Competitiveness with Joakim Wernberg, The Work Environment with Samuel Engblom, Customer Strategy, Human Resources, Child Rights with Johan Grundström Eriksson, Module 2, Summary
Module 3, Introduction, Human Rights, Electronic Surveillance in the Workplace, Machine Ethics, Algorithmic Bias with Jakob Svensson, Child Rights Risks with Johan Grundström Eriksson, Cybersecurity with Ulrik Franke, HR Ethics with Björn Lorentzon, Sustainability & Ethical Review with Anna Felländer, Module 3, Summary
Module 4, Introduction, A Theory of AI Job Replacement, Competence Disruption, Man or Machine with Joakim Wernberg, AI Transformation with Fredrik Heintz, AI in the Workplace: The Medium Term Perspective, The Future of Work with Johan Grundström Eriksson, Module 4, Summary
Course: Fundamentals of Data Analysis
Modules:
Course Introduction and Objectives, Module Introduction and Objectives, Introduction to Descriptive Analytics, Descriptive Analytics in Your Reading, Introduction to Predictive Analytics, Predictive Analytics in Your Reading, Introduction to Diagnostic Analytics, Diagnostic Analytics in Your Reading, Introduction to Exploratory Analytics, Exploratory Analytics in Your Reading, Introduction to Advanced Data Analytics, Advanced Data Analytics in Your Reading, Hands-on Demonstration: Explore the Data!, Module 1 Summary
Module Introduction and Objectives, Introduction to Data Requirements Gathering, Data Requirements Gathering in Your Reading, Introduction to Data Collection, Data Collection in Your Reading, Introduction to Data Cleaning, Data Cleaning in Your Reading, Introduction to Data Analysis, Data Analysis in Your Reading, Introduction to Data Interpretation, Data Interpretation in Your Reading, Introduction to Data Visualization, Data Visualization in Your Reading, Hands-on Demonstration: Visualize the Data!, Module 2 Summary
Module Introduction, Introduction to Data Analytics Tools, Data Analytics Tools in Your Reading, Introduction to SQL Basics, SQL Basics in Your Reading, Introduction to Data Analytics Programming Fundamentals, Data Analytics Programming Fundamentals in Your Reading, Hands-on Demonstration: Conduct Ad-hoc Analysis, Module 3 Summary
Module Introduction and Objectives, Introduction to Data Analytics Foundational Math, Data Analytics Foundational Math in Your Reading, Introduction to Advanced Data Analytics Algorithms, Advanced Data Analytics Algorithms in Your Reading, Module 4 Summary
Module Introduction and Objectives, Introduction to Data Analytics Methodologies, Data Analytics Methodologies in Your Reading, Introduction to Data Analytics Workflows, Data Analytics Workflows in Your Reading, Module 5 Summary