dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Kommunikationsstrategien für ein virtuelles Zeitalter
Modules:
Willkommen zum Kurs!, Was können Sie erwarten?, Die 3 Kommunikationsfallen, Erste Falle - Sprechen in der dritten Person, Zweite Falle - Sprechen mit formeller Sprache, Dritte Falle - Mit zu vielen Details sprechen, Missverständnisse, Vor- und Nachteile, Drei Arten von Remote-Teams, Eingeständnisse, Sensible Gespräche
Zu viel des Guten?, (QSWG) + (PS) = Großartig, Interaktiv genial, Was ist eine Frage?
Kommunikationsstile, Feindlich (Bullets und Kategorien), Gleichgültig (Hilfe und Rat), Nicht informiert (Einfühlungsvermögen und Blickpunkt), Unterstützend (Alles und Alle), Zugrundeliegende Motivation, Erfolg, Zugehörigkeit, Macht, Fragen, Geschlossene Fragen, Offene Fragen, Strategische Fragen, Positionelles und prinzipienbasiertes Verhandeln
5 % Regel, Areal 47, Ziel-Chancen-Satz, KENN-Slogan, Bauchnabelregel, Die Faulheitsregel, Der Bildüberlegenheitseffekt
Course: Introduction to Risk Management
Modules:
Course Overview
What is Risk?, Measuring Different Types of Risk
Market Risk, Measuring Market Risk, Portfolio Construction, Capital Asset Pricing Model (CAPM), Introduction, Pre-Settlement and Settlement Risk, Credit Risk Components, Overview of Credit Risk, Introduction to Operational Risk, Introduction to Enterprise Risk
The Financial System, Money and Capital Markets, US Regulatory Structures, UK Regulatory Structures, EU Regulatory Structures
What is Scenario Analysis?, Scenario Example, What is Stress Testing?, Purpose of Stress Testing, Case Study: When Unconventional Becomes Conventional
Key Takeaways
Course: 2. 安心を担う： セキュリティリスクの管理
Modules:
コース 2 へようこそ, 1 週目へようこそ, セキュリティプロフェッショナル認定資格制度（CISSP）を探る その 1, セキュリティプロフェッショナル認定資格制度（CISSP）を探る その 2, アシュリー：サイバーセキュリティへの道, 脅威、リスク、脆弱性について, 脅威、リスク、脆弱性がもたらす影響, ハーバート：サイバーセキュリティ アナリストの仕事, NIST リスクマネジメント フレームワーク, まとめ
2 週目へようこそ, フレームワークについて, コントロールについて, CIA トライアドを探る, NIST サイバーセキュリティ フレームワークについて, NIST サイバーセキュリティフレームワークの 5 つの機能を探る, OWASP セキュリティ原則, ワジー：サイバーセキュリティの最新情報を知る, セキュリティ監査を計画する, セキュリティ監査を完了する, まとめ
3 週目へようこそ, ログと SIEM（セキュリティ情報イベント管理）ツール, SIEM ダッシュボードについて, パリサ：アクセシビリティとセキュリティの類似点, 一般的な SIEM ツール, タルヤ：サイバーセキュリティの分野における神話, まとめ
4 週目へようこそ, インシデント対応プレイブックのフェーズ, プレイブックを活用して脅威、リスク、脆弱性に対応する, エリン：セキュリティチームにおける多様性の重要さ, まとめ, コースのまとめ
Course: Social Determinants of Health: Methodological Opportunities
Modules:
Introduction to Course 4: Methodological Opportunities, Community-Based Participatory Research Part 1, Community-Based Participatory Research: Measurement and Outcomes Part 2
Team Science Part 1, Team Science in Community Part 2
Introduction to Community-Level Data Part 1, Simplified Consumer-Facing Language Part 2, Social Determinants of Health Data Part 3a, MyStrengths+MyHealth Demo Part 3b, Community-Level Data Exemplar Part 4
Informatics and the Social Determinants of Health: Knowledge Management Part 1, Informatics and the Social Determinants of Health: Informatics Opportunities Part 2
Introduction to ANOVA Analysis and Line Graph Visualization, ANOVA Analysis and Line Graph Visualization Part 2
Course: Causes of Racial Inequity in Healthcare
Modules:
Recap of History of Racial Inequity in Healthcare and Connections to this course, Meet Your Professor, Public Insurance and Racial Inequity before the Affordable Care Act, Current Contributions to Racial Inequity by Public Insurance, Title VI and Public Insurance, Limitations of Title VI, Fixing Public Insurance in the U.S.
Pharmacy Deserts- Structural Racism and Pharmacy Access, Risk Factors for Pharmacy Closures in the U.S., Impact of Pharmacy Closures on Health, Impacts of Pharmacy Deserts on Pandemic-related Disparities
History of Biomedical Experimentation, Tuskegee Syphilis Trials, HELA Cells: The Story of Henrietta Lacks, Establishment of Formal Review of Human Subjects Research, Situating Mistrust in the Context of Mistreatment, Eugenics and Sterilization, Country/State Healthcare Structure Assignment, Country/State Healthcare Structure Assignment: General Feedback, Week 3 Optional Resources
Myths and Truths about the Reality of Racism, Microaggressions, Unchecked Racism Faced by Physicians of Color, Race and Medical Journals, Physician's Diagnosis, Clinical Measurements, Race and Pain, Week 4 Optional Resources
What is implicit Bias? Concepts and Definitions, What is implicit Bias? Physician Attitudes and Racially Discordant Interactions, What is implicit Bias? Patient Perceptions, What is implicit Bias? Physician Behaviors, What is implicit Bias? Patient Treatment Expectations, Attitudes, and Perceptions, What is implicit Bias? Jointly Determine Behaviors in Patient-Physician Interactions, What is implicit Bias? Solutions, Course Wrap Up, What's Next in the Series
Course: From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories
Modules:
Introduction to the Course and Professor, Purpose of the Creative Pitch: Interview with Maria Haro, Process Overview, The History of Branding Through Images, The Art of Story Branding, Story Branding Through Images and Concepts, Understanding the Language of Image-Making I, Understanding the Language of Image-Making  II, Understanding the Language of Image-Making III, Narrative: First Contact with the Client, Optional Portfolio Assignment
Intro to the World of Brand Personality Analysis, Which is More Important: Brand or Product?, Brand Analysis, The Positioning Statement: Interview with Maria Haro, How to Write a Brand Positioning Statement, Narrative: Talking About the Values of the Brand
Introduction to Creative Advertising Concepts, What is Creative Advertising?, Examining Ads: Creating Conceptual Advertising (images), How to Convey the Unique Selling Propositions of the Brand, From Brand to Concept, Presenting the Creative Concepts to the Client, Narrative: Presenting the Creative Pitch to the Client
From Concept to Production, Defining the Brand Through the Production Team, Production Team Interviews: Creative Director/Graphic Designer Maria Haro, Production Team Interviews: Stylist Isabel Ottino, Production Team Interviews: Art Designer Adrian Tai, Narrative: Presenting the Production Plan to the Client, The Creative Pitch Deck, Explaining the Activity: The Campaign Challenge, What Did We Learn?, Farewell!
Introduction to the  From Brand to Image Capstone Project, Instructions for the Capstone Project, From Brand to Image Conclusion
Course: Interacting with Customers
Modules:
Introduction: CVS Health Customer Service Professional Certificate, Course Overview: Interacting with Customers, Introduction to Your Instructor: Denielle, Introduction: Greeting Customers, The Importance of Greetings, Strategies for Greeting Customers, Applying Greeting Customers, Interacting with Prospective Customers, Strategies for Interacting with Prospective Customers, Applying Creating Positive Customer Interactions, How to Apply Strategies to Customer Interactions, Real-world Examples of Strategies for Positive Customer Interactions, Weekly Review: Welcoming Customers
Introduction: Meeting Customers' Needs, Introduction to Finding Product Details, Common Places to Find Product Details, Applying Finding Product Details, Building Trust with Customers, Build Customer Trust with Product Knowledge in Retail, Applying Building Trust with Product Knowledge in Retail, Build Customer Trust with Product Knowledge in Call Centers, Applying Building Trust with Product Knowledge in Call Centers, Introduction to Simulations, Introduction: What Successful Customer Service Looks Like, Creating Successful Request Interactions, Creating Successful Question Interactions, Creating Successful Complaint Interactions, Creating Successful Compliment Interactions, Applying Successful Customer Service, Introduction: Cross-Selling and Upselling, Strategies to Cross-Sell, Strategies to Upsell, Applying the Elements of Cross-Selling and Upselling in Retail, Applying the Elements of Cross-Selling and Upselling in the Call Center, Weekly Review: Meeting Customers' Needs
Introduction: De-escalation with Empathy, Verbal Indicators of Escalation, Identifying Verbal Escalations in Customer Encounters, Nonverbal Indicators of Escalation, Identifying Nonverbal Escalations in Customer Encounters, Preparing to De-escalate, Strategies for De-escalation, What to Do After a Difficult Customer Engagement, The Importance of Empathy in Difficult Situations, Ways to Convey Empathy, Applying Empathy and De-escalation, Collaboration in De-Escalation, Applying Collaboration in De-escalation, Introduction to Simulations, Weekly Review: De-escalation with Empathy
Introduction: Professionalism in Social Media, Types of Social Media Encounters in Customer Service, Applying Social Media Encounters, Social Media Best Practices, Social Media Practices to Avoid, Potential Social Media Encounters with Customers, Reacting on Social Media, Applying Social Media and Customers, Introduction to Peer Reviews, Walkthrough Peer Review Steps, Weekly Review: Professionalism in Social Media, Career Support Information, Hear from: Ricky La, Congratulations!
Course: First Order Optical System Design
Modules:
Introduction to the Course, Introduction to Geometrical Optics, What are rays?, Pinhole Camera, Rays in OpticStudio, Snells Laws, Fermat's Principle, Snell's Laws in the Laboratory, PhET Hands-On Practice
Introduction to OpticStudio, System Explorer and the Lens Data Editor, Entering a Lens, Analyzing a Lens, The Lens Catalog, Configurations, Optimization
Jargon and Sign Convention, Example of Sign Convention, Graphical Ray Tracing, Virtual Objects and Images, PhET Lens Practice, Positive and Negative Lens Laboratory Demonstration, Thin Lens Equations, Imaging with Mirrors, Single Lens Imaging Example, Mirror Laboratory Demonstration, Lenses vs. Mirrors, Paraxial Analysis in OpticStudio
Optical Path Length of a Paraxial Lens, Power of a Single Curved Surface, Lens Maker's Equation, Power of Curved Mirrors, Two Lens System, Design with Thick Optics, Applying Thick Optics Concepts, Thick Lens Application
Tabular first-order ray tracing, Example of Tabular First-Order Ray Tracing, Another Example of First-Order Tabular Ray Tracing, Symbolic Tabular First-Order Ray Tracing, First-order ray tracing with ABCD matrices, Example of ABCD matrices, Properties of the Conjugate Matrix, The Form of the Conjugate Matrix, Relating the Conjugate to the System Matrix, Properties of the 2 Lens System
Course: محاسبة المقبوضات والديون المعدومة
Modules:
تسجيل عمليات البيع وأنواع حسابات العملاء (Account Receivables), أنواع الخصم (Discount) وكيفية عرضها في القوائم المالية, النوع الأول: (Bad Debts), النوع الثاني: الدين المشكوك في تحصيله (Doubtful Debt Account), حساب الديون الجيدة (Good Debt Accounts) - الجزء الأول, حساب الديون الجيدة (Good Debt Accounts) - الجزء الثاني, اضمحلال حسابات العملاء (Receivables Aging of Account), تحليل العملاء وأوراق القبض (Account and Notes Receivable Analysis)
Course: استراتيجيات التسويق الهجومية والدفاعية
Modules:
أهداف استراتيجيات التسويق, استراتيجية الاستثمار للنمو, استراتيجية تحسين الوضع أو الحالة التنافسية, استراتيجية دخول أسواق جديدة, استراتيجيات الدفاع (Defensive Strategies)، استراتيجية حماية الوضع الحالي للمحافظة على الأرباح, حماية الوضع الحالي للمحافظة على الأرباح (Protect Position to Maintain Profit), استراتيجية الاستفادة المثلى من موقع الشركة ضمن السوق (Optimize position), استراتيجية السيولة والحصاد أوالتصفية, الخاتمة
Course: Speaking and Presenting: Pitches and Persuasion
Modules:
Optimism, Informed Hope, 30-Year Flash, Silicon Valley, Lincoln’s Lessons, The Hope Speech
Duchenne Smile, Reset Button, Negotiations
Dynamic, Head, Arms, Heels, Technology, Respect the Robe, On Bended Knee, Flags
Body > Face, Displacement, Visuals, Vocabulary, and Viewpoints
Course: Understanding and Visualizing Data with Python
Modules:
Welcome to the Course!, Understanding and Visualizing Data Guidelines, What is Statistics?, Interview: Perspectives on Statistics in Real Life, (Cool Stuff in) Data, Where Do Data Come From?, Variable Types, Study Design, Optional: Introduction to Jupyter Notebooks, Optional: Data Types in Python, Optional: Introduction to Libraries and Data Management
Categorical Data: Tables, Bar Charts & Pie Charts, Quantitative Data: Histograms, Quantitative Data: Numerical Summaries, Standard Score (Empirical Rule), Quantitative Data: Boxplots, Demo: Interactive Histogram & Boxplot
Looking at Associations with Multivariate Categorical Data, Looking at Associations with Multivariate Quantitative Data, Demo: Interactive Scatterplot, Introduction to Pizza Assignment
Sampling from Well-Defined Populations, Probability Sampling: Part I, Probability Sampling: Part II, Non-Probability Sampling: Part I, Non-Probability Sampling: Part II, Sampling Variance & Sampling Distributions: Part I, Sampling Variance & Sampling Distributions: Part II, Demo: Interactive Sampling Distribution, Beyond Means: Sampling Distributions of Other Common Statistics, Making Population Inference Based on Only One Sample, Inference for Non-Probability Samples, Complex Samples
Course: Introduction to Project Management
Modules:
Course Welcome, What is Project Management?, Expert Viewpoints: What do Project Managers do?, Program, Project, Portfolio - What's the Difference?, The Role Project Management Plays in Projects, Expert Viewpoints: What's a project?, Expert Viewpoints: Misconceptions about Project Management
Who Project Managers Work With, Project Management Methodologies, Expert Viewpoints: Project Management Methodologies, Traditional vs Modern Project Management, Recent Trends in Project Management, Expert Viewpoints: Trends in Project Management
Expert Viewpoints: Traits of a Project Manager, Soft Skills for Project Management, Technical Skills for Project Management, Expert Viewpoints: Necessary Project Management Skills, Interpersonal Skills and Leadership in Project Management, Project Manager Responsibilities, A Day in the Life of a Project Manager, Expert Viewpoints: A Day in the Life of a Project Manager
Careers in Project Management Overview, Project Management Across Industries, Information Technology Project Management, Expert Viewpoints: Industry-Specific Skills, Path to Becoming a Project Manager, Career Progression in Project Management, Expert Viewpoints: Describe your career path, Expert Viewpoints: Job hunting and career progression tips
Key Takeaways From This Course, Key Project Management Resources, Congratulations & Next Steps
Course: Introduction to the Arctic: Climate
Modules:
Course Preview Video, 1.1 Introduction to Arctic Environments and Climate, 1.2A What is Climate?, 1.2B What is Climate?
2.1A Climate and Atmosphere, 2.1B Climate and Atmosphere, 2.2A Ocean Circulation and the Arctic Ocean, 2.2B Ocean Circulation and the Arctic Ocean, 2.3 Carbon Cycle and Greenhouse Gasses, 2.4 Back to the Arctic
3.1 Forms of Ice in the Polar Regions, 3.2 River and Lake Ice, 3.3A Ice Sheets and Permafrost, 3.3B Ice Sheets and Permafrost
4.1 Climate Change, 4.2A The Impacts of Climate Change, 4.2B The Impacts of Climate Change, 4.2C The Impacts of Climate Change
Course: Introduction to Data Management
Modules:
Introduction to the Program, Course Introduction Video, Instructor Introduction Video, Overview: Collecting Data, What is Data?, Importance of Data in Decision-Making, Types of Data, Data Sources, Surveys and Questionnaires, Web Scraping and APIs, Sensor Data Collection, Common Tools for Data Collection, Data Acquisition Best Practices, Data Quality Dimensions, Data Preprocessing and Cleaning, Data Profiling and Validation Tools, Conclusion: Collecting Data
Overview: Storing Data, Importance of Data Storage, Data Storage Formats, Data Models, Relational Databases (SQL), Document (NoSQL) Databases, Data Warehousing, What Is Big Data?, Hadoop Ecosystem, Distributed Data Storage, Data Lakes vs. Data Warehouses, Data Storage in the Cloud, Data Storage Tools and Frameworks, Conclusion: Storing Data
Overview: Securing Data, Data Security vs. Data Privacy, Security Threats and Vulnerabilities, Encryption and Access Control, Data Classifications, GDPR, CCPA, and Other Data Privacy Regulations, Data Anonymization and Pseudonymization, Compliance Best Practices, Data Governance Framework, Data Stewardship and Data Ownership, Data Cataloging and Metadata Management, Secure Communication Protocols, Data Encryption Methods, Secure Storage Solutions, Conclusion: Securing Data
Overview: Data Analysis and Exploration, Data Analysis vs. Data Analytics, Exploratory Data Analysis (EDA), Statistical Analysis and Hypothesis Testing, Common Tools Used in Data Analysis and Exploration, Importance of Data Visualization, Types of Data Visualization, Data Visualization Tools, Machine Learning Concepts, Supervised and Unsupervised Learning, Machine Learning Tools, Conclusion: Using Data, Congratulations!
Course: Introducción a la Ingeniería Gastronómica - ¡Ciencia en la Cocina!
Modules:
¿Qué es la Ingeniería Gastronómica?, Comemos Moléculas, Los alimentos tienen estructura, Geles, espumas y emulsiones, Texturas de alimentos, El método científico
Introducción al módulo 2, Respiramos agua, Todos los alimentos tienen agua, Comemos vidrio, Transición Vítrea, Efecto del Ambiente
Agua, vapor, temperatura, Mecanismos de transferencia de calor, El calor hace a los chefs, Cambios estructurales, Refrigeración y congelación, Entendiendo el wok
Introducción al módulo 4, Chips crujientes de papa camote, Sous vide: El huevo a la copa perfecto, El soufflé: Una estructuras delicada y efímera, Aderezo de veganesa al ajo: reconciliando a dos enemigos, Dashi de cochayuyo:  Un secreto japonés, Caramelos satinados, Caviar de arándanos: esferas deliciosas
Course: Production Machine Learning Systems
Modules:
Specialization: Advanced Machine Learning on Google Cloud, Welcome
Architecting ML systems, Data extraction, analysis, and preparation, Model training, evaluation, and validation, Trained model, prediction service, and performance monitoring, Training design decisions, Serving design decisions, Designing from scratch, Using Vertex AI, Lab Introduction: Structured data prediction, Getting Started with Google Cloud and Qwiklabs
Introduction, Adapting to data, Changing distributions, Lab: Adapting to data, Right and wrong decisions, System failure, Concept drift, Actions to mitigate concept drift, TensorFlow data validation, Components of TensorFlow data validation, Lab Introduction: Introduction to TensorFlow data validation, Lab Introduction: Advanced visualizations with TensorFlow data validation, Mitigating training-serving skew through design, Diagnosing a production model
Introduction, Training, Predictions, Why distributed training is needed, Distributed training architectures, TensorFlow distributed training strategies, Mirrored strategy, Multi-worker mirrored strategy, TPU strategy, Parameter server strategy, Lab Introduction: Distributed training with Keras, Training on large datasets with tf.data API, Lab introduction: TPU-speed data pipelines, Inference
Introduction, Machine Learning on Hybrid Cloud, KubeFlow, Lab Introduction: Kubeflow Pipelines with AI Platform, TensorFlow Lite, Optimizing TensorFlow for mobile, Summary
Course summary
Course: Machine Learning in the Enterprise - Português Brasileiro
Modules:
Introdução ao curso
Introdução, Visão geral de um fluxo de trabalho de ML para empresas
Introdução, Feature Store, Data Catalog, Dataplex, Analytics Hub, Opções de pré-processamento de dados, Dataprep, Introdução ao laboratório: Conhecer e criar um pipeline do Analytics para e-commerce usando o Dataprep, Coursera: Guia inicial do Google Cloud Platform e do Qwiklabs
Introdução, A arte e a ciência do machine learning, Acelerar o treinamento, Quando usar o treinamento personalizado, Requisitos e dependências do treinamento (parte 1), Requisitos e dependências do treinamento (parte 2), Como treinar um modelo personalizado de ML usando a Vertex AI, Treinar modelos personalizados de ML usando a Vertex AI
Introdução, Ajuste de hiperparâmetros com o Vertex AI Vizier, Introdução ao laboratório: Vertex AI: ajuste de hiperparâmetros
Introdução, Previsões usando a Vertex AI, Gerenciamento de modelos usando a Vertex AI, Introdução ao laboratório: Monitorar modelos da Vertex AI
Introdução, Previsão usando os pipelines da Vertex AI, Introdução ao laboratório: Vertex AI Pipelines
Introdução, Práticas recomendadas para implantação e disponibilização de modelos, Práticas recomendadas para monitoramento de modelos, Práticas recomendadas para pipelines da Vertex AI, Práticas recomendadas para organização de artefatos
Resumo, Recurso: todas as perguntas dos testes, Recursos: todas as leituras, Recurso: todos os slides (English only)
Resumo da série
Course: Business English: Networking
Modules:
Video: Welcome to Business English, Video: Course Overview, Quiz Proficiency Video: Phone Conversation, Video: Introducing Yourself, Video: Keeping a Conversation Going, Video: Leaving a Conversation, Video: Real Language, Video: Business Cards, Video: How to Create a Good Network, Video: Social Networking
Video: Case Study Seattle, Video: Interview with David Blandford of Visit Seattle, Video: Seattle, A Business City, Video: Describing Your Job, Video: Giving Some More Details, Video: Describing a Company, Video: Company History
Video: Email Guidelines, Video: Subject Lines, Video: Email Greetings, Video: Email Closings, Video: Appropriate Tone in Email, Video: Formality Part 1, Video: Formality Part 2, Video: Directness, Video: Writing Effective Opening and Closing Sentences in Email, Part 1, Video: Writing Friendly Opening and Closing Sentences in Email, Part 2
Video: Beginning and Ending a Telephone Call, Video: Telephoning Arrangements to Meet, Video: Leaving Messages
Video: Text Messages in Arranging to Meet Someone, Video: Initiating and Responding to Meeting Announcements and Invitations, Video: Writing Follow-up and Thank You Emails
Course: Advanced Data Analysis and Visualization with Pandas
Modules:
Intro to the Working with Dates and Times Module and Review of Python's datetime, The Timestamp and DatetimeIndex Objects, Create Range of Dates with pd.date_range Function, The dt Attribute, Selecting Rows from a DataFrame with DatetimeIndex, The DateOffset Object, Specialized Date Offsets, Timedeltas
Intro to the Input and Output Module, Export DataFrame to CSV File, Install openpyxl Library to Read and Write Excel Files, Import Excel File into pandas, Export Excel File from pandas
Install matplotlib Library for Visualization, The plot Method, Modifying Plot Aesthetics with Templates, Bar Charts, Pie Charts
Introduction to the Options and Settings Module, Changing Options with Attributes, Changing Options with Functions, The precision Option
Conclusion to the Specialization
Course: Lesson Planning with the ELL in Mind
Modules:
Introduction, Theories of Second Language Acquisition, BICS & CALP, BICS & CALP Scenarios, Vocabulary for ELLs, Classroom Application-Vocabulary for ELLs, Grammatical Structures and Language Functions, Classroom Application-Grammar & Language Functions, Lesson Annotation, Summary, Interview: Developing Literacy Skills with the ELL in Mind
Introduction, Developing Cognitive Skills, Classroom Application-Cognitive Skills, Developing Learning Skills, Classroom Application-Learning Skills, Affective Filter, Classroom Application-Affective Filter, Lesson Annotation, Summary, Interview: Developing Learner Autonomy & Creating a Welcoming Environment with the ELL in Mind
Introduction, Language Genres by Content, Classroom Application-Language Genres, Writing Learning Outcomes, Aligning Learning Outcome to Standards, Designing Activities with the ELL in Mind, Classroom Application-Activities, Lesson Annotation, Summary, Interview: Strengthening Lesson Planning with the ELL in Mind
Introduction, Material Selection, Material Adaptation, Classroom Application-Material Adaptation, Adapted Text, Activity Types, Lesson Delivery, Lesson Plan Annotation, Summary, Interview: Best Classroom Practices with the ELL in Mind
Introduction, Social Studies Lesson Plan Annotation, Language Arts Lesson Plan Annotation, Mathematics Lesson Plan Annotation, Summary, Interview: Scaffolding and Lesson Delivery with the ELL in Mind
Final Review
Course: Green Building Assessment & Certification
Modules:
About the Specialization, About the Course, Green Product Certifications - Part 1, Green Product Certifications - Part 2, Features of Sustainable Building Materials, Structural Materials and its Sustainable Alternatives - Part 1, Structural Materials and its Sustainable Alternatives - Part 2, Building Envelope Materials and its Sustainable Alternatives - Part 1, Building Envelope Materials and its Sustainable Alternatives - Part 2, Finishing Materials and its Sustainable Alternatives - Part 1, Finishing Materials and its Sustainable Alternatives - Part 2, Low Carbon Cement, Zero Emission Bricks, Lean Construction Practices
Life cycle assessment methodology - Part 1, Life cycle assessment methodology - Part 2, Life cycle assessment methodology - Part 3, Life cycle assessment methodology - Part 4, Building LCA analysis - Part 1, Building LCA analysis - Part 2, Life cycle energy analysis
Stage I - Project Definition and Goal Setting - Part 1, Stage I - Project Definition and Goal Setting - Part 2, Stage I - Project Definition and Goal Setting - Part 3, Stage II - Design Phase Integration - Part 1, Stage II - Design Phase Integration - Part 2, Stage II - Design Phase Integration - Part 3, Stage III - Construction Phase Implementation - Part 1, Stage III - Construction Phase Implementation - Part 2, Stage IV - Building Commissioning
IGBC - Site selection credits, IGBC - Pre-design credits, IGBC - Detailed-design credits - Part 1, IGBC - Detailed-design credits - Part 2, IGBC - Detailed-design credits - Part 3, IGBC - Detailed-design credits - Part 4, IGBC - Pre-construction credits, IGBC - Construction credits - Part 1, IGBC - Construction credits - Part 2, IGBC - Post-construction credits - Part 1, IGBC - Post-construction credits - Part 2
Course: Learn Accessible Web Design
Modules:
Learn Accessibility Quiz
Course: Generating Vision: Long-Term Ideas to Motivate Stakeholders
Modules:
1.1.1 The Human Capacity for Vision - Video, 1.2.1 What's at Stake with Visioning - Video, 1.3.1 Mental Time Travel - Video, 1.4.1 Reflective and Temporal Thinking - Video, 1.5.1 Techniques for Framing and Harnessing the Future - Video
2.1.1 What is Short Termism? - Video, 2.2.1 Why Organizations Worship Short-Termism- Video, 2.3.1 Companies Fighting Back and Long-Term Value Creation- Video, 2.4.1 The Ethics of "Big Vision" - Video, 2.5.1 Management's Attention and Visioning - Video
3.1.1 The First Job of a Leader - Video, 3.2.1 A Trip to the Moon - Kennedy's Vision - Video, 3.3.1 Vision vs Mission -  Video, 3.4.1 Opportunity in Plain Site - Video, 3.5.1 Vision Must Encompass Your Employees and Stakeholders - Video
4.1.1 Communicating a Vision and the Power of Visualization - Video, 4.2.1 Activating Vision on the Front Lines - Video, 4.3.1 Vision Activation Maturity Model  -  Video, 4.4.1 Mapping a Vision with Strategy - Video, 4.5.1 Productizing a Vision - Video
Thank you now Keep Going!, Don't Forget to Claim You Some PDUs!, Continue Your Education with UMD!, Join an Information Session, Imagine What's Next with Daniel Forrester, Five Stars Please :)
Course: Comunicación para equipos multigeneracionales
Modules:
Bienvenida, ¿Es gestionable la comunicación intergeneracional?, Claves para alinear la comunicación intergeneracional, Lidera con códigos intergeneracionales avanzados
Course: Decoding AI: A Deep Dive into AI Models and Predictions
Modules:
Welcome to What Does "Artificial Intelligence" Really Mean?, How Did We Get Here? One AI Origin Story, Artificial Intelligence Terminology, Part I: How Does a Machine "Learn"?, Part II: How Does a Machine "Learn"?, What is Generative AI?, A Lens to Take With Us
Introduction to How Do Machine Learning Systems Work, Ingredients of Machine Learning  Part I: Data, Ingredients of Machine Learning  Part II: Models, Ingredients of Machine Learning  Part III: Evaluation, How Do We Know if a Machine Learning System is Useful?, More Usefulness Questions
Introduction to Putting AI Into Practice, The Why in AI, Case Study: Predicting Sepsis, Case Study: The Fragile Families Study, Does the Model Match the Problem?
Introduction to How to Have Better Conversations About AI, Why is Talking About AI So Hard?, What Can Go Wrong Telling Stories About AI?, Avoid Thought-terminating Cliches, Course Recap: Decoding AI
Course: Bridging the Gap between Strategy Design and Delivery
Modules:
Welcome from Ricardo Vargas, Welcome to Module 1!, Why Organizations Fail to Meet their Strategic Objectives, Blackberry: A Case-Study in Disruption, Factors Contributing to the Gap, Are You Asking the Right Questions? By TED and Brightline, Characterizing the Gap, Netflix and Blockbuster: A Case-Study in Disruption, Singapore: Transforming Itself into a Global Economic Hub, Jeroen Tas, Royal Philips, Sunil Prashara, Project Management Institute, Haiyan Wang, China India Institute
Understanding Brightline's Guiding Principle 1, NASA: Guiding Principle 1 in Action, Guiding Principle #1 by TED and Brightline, Understanding Brightline's Guiding Principle 2, Saudi Telecom Company: Guiding Principle 2 in Action, Guiding Principle #2 by TED and Brightline, Understanding Brightline's Guiding Principle 3, American Red Cross: Guiding Principle 3 in Action, Guiding Principle #3 by TED and Brightline, Understanding Brightline's Guiding Principle 4, Amazon: Guiding Principle 4 in Action, Guiding Principle #4 by TED and Brightline, Roger Martin, Rotman School of Management, Dina Matta,  ING Bank, Executives at Saudi Telecom Company (STC)
Understanding Brightline's Guiding Principle 5, ING Bank: Guiding Principle 5 Action, Guiding Principle #5 by TED and Brightline, Understanding Brightline's Guiding Principle 6, NHS Connecting for Health: Guiding Principle 6 in Action, Guiding Principle #6 by TED and Brightline, Understanding Brightline's Guiding Principle 7, Spotify: Guiding Principle 7 in Action, Guiding Principle #7 by TED and Brightline, Rita McGrath, Columbia Business School, Martin Reeves, BCG Henderson Institute, Vijay Govindarajan, Dartmouth College
Understanding Brightline's Guiding Principle 8, Bill and Melinda Gates Foundation: Guiding Principle 8 in Action, Guiding Principle #8 by TED and Brightline, Understanding Brightline's Guiding Principle 9, Pixar Animation Studios, Tencent, Xiaomi: Guiding Principle 9 in Action, Guiding Principle #9 by TED and Brightline, Understanding Brightline's Guiding Principle 10, Google, Campbell Soup Co., Pepsi Co.: Guiding Principle 10 in Action, Guiding Principle #10 by TED and Brightline, Tendayi Viki, Strategyzer, Perry Keenan, Boston Consulting Group (BCG)
Course Conclusion
Download the Case for Easy Reference, Part 1: RTech Becomes a Global Tech Player, Part 2: RTech Enters a New Era, Download the Case for Easy Reference, Part 1: Taxing Challenges for Pavlova, Part 2: The New Head of the Development Fund Diagnoses the Department’s Challenges, Download the Case for Easy Reference, Part 1: Reinventing Steifen's Life Foundation, Part 2: Hanif’s 10 Key Points
Course: Pest & Disease Management
Modules:
Cannabis Disease Management
Pest Management
Integrated Pest Management (IPM)
Congratulations!
Course: Storytelling y medios digitales
Modules:
Bienvenido a tu curso, La narrativa en el contexto de los medios digitales, Ejemplos de narrativa, El lenguaje audiovisual, Ejemplos de lenguaje audiovisual
Elementos de la narrativa, Ejemplos de los elementos de la narrativa, El guion literario, Ejemplo de guion literario
El guion técnico, Ejemplo de guion técnico, Storyboard, Ejemplo de storyboard, Video de cierre
Course: Introduction to Chemistry:  Structures and Solutions
Modules:
1.0 Introduction, 1.1 Scientific Method, 1.2 Measurement and Significant Figures Part I, 1.3 Measurement and Significant Figures Part II, 1.4 Energy Part I, 1.5 Energy Part II, 1.6 [DEMO] Physical Change, 1.7 [DEMO] Chemical Change
Light Waves, [DEMO] Blackbody Radiation, Light Wave Particle Duality, Atom Emission Spectra, Bohr Model Part I, [Demo] Colored Flames, Bohr Model Part II
Introduction to Quantum Numbers Part I, Introduction to Quantum Numbers Part II, Electron Configurations, Core and Valence Electrons, Introduction to Lewis Structures, Lewis Dot Structure Construction, Bond Order, Expanded Octet
Simple Structure, Formal Charge and Resonance Part I, Simple Structure, Formal Charge and Resonance Part II, Valence Shell Electron Pair Repulsion Part I, Valence Shell Electron Pair Repulsion Part II, Sigma and Pi Bonds, Hybridization
[DEMO] Compressibility and Pressure, [DEMO] Gas Phase, Ideal Gas Law, Gas Law: Partial Pressure, The Importance of Thermal Energy, Phases of Matter, Liquids
Intermolecular Forces, Phase Changes Part I, Phase Changes Part II, Solids Part I, Solids Part II, Solids Part III
2.1 Introduction to Solutions Part I, 2.2 Introduction to Solutions Part II, 2.3 [Demo] Electrolytes, 2.4 Dissolution and the Solubility Product Constant Part I, 2.5 Dissolution and the Solubility Product Constant Part II, 2.6 Solubility Rules, Solution Review, Solutions: Factor Affecting Solubility, Solutions: Calculations & Dilutions Part I, Solutions: Calculations & Dilutions Part II, [Interview] Dr. Dubay Interview
Final Exam Part A (12 Questions), Final Exam Part B (12 Questions)
Course: Foundations of Advanced Wireless Communication
Modules:
Course Introduction, MYI - Prof Ekant, MYI - Prof Abhay
Wireless Communication - Introduction, Physical Modeling for Wireless Channels, Baseband and Passband Representation, Rayleigh Fading Channels, Bit Error Rate of Wireless/Wired Channel, Deep Fade and Probability of Error Analysis, Delay Spread of a Multipath Wireless Channel, Coherence Bandwidth and Inter-Symbol Interference, Doppler Spread and Coherence Time
Introduction to Multi-Antenna Diversity, Receive Diversity: Single-Input Multiple-Output (SIMO), BER of SIMO with Maximal-Ratio-Combining, Receive Combining Techniques, MISO and MIMO Wireless System
Capacity of SISO Additive White Gaussian Noise (AWGN) Channel, Capacity of Multi-Antenna AWGN and Wireless Channels, Capacity of Slow-Fading Channels, Capacity of Fast-Fading Channels
Capacity of Fixed MIMO Channel with Transmit Channel State Information (CSI), Capacity of Fixed MIMO Channel Without Transmit CSI, Optimal and Suboptimal MIMO Receivers
Introduction to Cellular Networks, Spectral Efficiency (SE) of Two-Cell Two-User Single-Antenna System, SE of MIMO Base Station (BS) for LoS Channel: Part 1, SE of MIMO BS for LoS Channel: Part 2, SE of Non-LoS Channel with MIMO BS, Multiuser MIMO, Spectral Efficiency of Multiuser MIMO for LoS and NLoS
Comprehensive Evaluation of Fundamentals of Wireless Communication
Massive MIMO Fundamentals, Basics of Channel Estimation, Channel Estimation of Multicell Multiuser System, Element Wise-MMSE, LS, and Other Channel Estimation Techniques, Spectral Efficiency Analysis, Live Session-3
mmWave System and Challenges, mmWave Channel Model, mmWave Design Considerations
Architecture, System Model, Objectives and Algorithms
Motivation, Working Principle, Multi-Carrier Modulated System, A Sampled MCM System, Cyclic Prefix, System Model, Error Analysis, MIMO-OFDM, Realization Challenges
Motivation of NOMA, Two-User NOMA, Achievable Throughput, Multi-User NOMA, MIMO NOMA, Code-Domain NOMA
Course Wrap-Up
Course: Everyday Excel, Part 2
Modules:
How to Switch Sessions of the Course, Week 1 preview, (OPTIONAL): Review of VLOOKUP, MATCH, INDEX, and OFFSET functions, Two-way lookups in Excel, Two-way conditional lookups, Finding the location of a maximum, Conditional drop-down lists (data validation), Conditional formatting based on formula, Example: Conditional formatting to identify errors, Comparing lists, Example: Who hasn't signed up?, Managing duplicates, Part 1, Managing duplicates, Part 2, Example: Expiry dates, Most frequent text, Assignment 1 preview and instructions, More about the OFFSET function
Week 2 preview, Customizing Excel for financial applications, Time value of money, Simple and compound interest, Part 1, Simple and compound interest, Part 2, Amortized loans, Using Excel to create an amortization schedule, Amortization schedule with extra payments, Effective vs. nominal interest rate, Savings accounts with payments and disbursements, Interest-only loans, Lines of credit, Assignment 2 preview and instructions
Week 3 preview, Depreciation, Common depreciation methods, Part 1, Common depreciation methods, Part 2, Cash flows and net present value, Part 1, Cash flows and net present value, Part 2, Comparing alternatives, Internal rate of return (IRR), More about the OFFSET function, Assignment 3 preview and instructions
Week 4 preview, Introduction to case studies, One-way Data Tables, Part 1, One-way Data Tables, Part 2, Two-way Data Tables, Example: Two-way Data Table, Goal Seek and Solver for targeting problems, Part 1, Goal Seek and Solver for targeting problems, Part 2, Solver for optimization problems, Using the Solver with constraints, Part 1, Using Solver with constraints, Part 2, Assignment 4 preview and instructions
Week 5 preview, Trendlines, Part 1, Trendlines, Part 2, Linear interpolation, Model building, Part 1: Simple linear regression, Model building, Part 2: General linear regression, Model building, Part 3: Multilinear regression, (OPTIONAL) Why use adjusted R-squared and not R-squared?, Introduction to nonlinear regression (logisitic regression), Assignment 5 preview and instructions
Course: Capstone: Applying Project Management in the Real World
Modules:
Introduction to Course 6, Project charters: Purpose and components, Project charters: Stakeholder alignment, Project charters: Drafting SMART goals, Project charters: Defining scope, benefits, and costs, Afsheen: Initiating a project effectively, Completing a stakeholder analysis, Finding mutually beneficial solutions, Stanton: Managing scope changes with stakeholders, Applying influence in negotiations, Wrap-up
Introduction: Building out a project plan, Identifying project tasks: Analyzing documentation, Identifying project tasks: Conducting online research, Identifying project tasks: Analyzing key conversations, Ordering tasks and identifying milestones, Time estimation: Asking the right questions, Time estimation: Three-point estimating, Time estimation: Applying confidence level ratings, Time estimation: Effective time estimate negotiation, Time estimation: Negotiating with empathy, Torie: Practicing empathy as a program manager, Wrap-up
Introduction: Maintaining quality, Key quality management concepts, Defining quality standards, Creating evaluation questions, Determining evaluation indicators, Developing a survey, Delivering an evaluation presentation, The value of retrospectives, Retrospectives: Encouraging participation, Retrospectives: Encouraging accountability, Retrospectives: Addressing negativity, Dana: Leading positive retrospectives, Wrap-up
Introduction: Effective stakeholder communication, Communicating project problems, Chris: The art of problem-solving, Connecting project problems to goals, Writing emails to escalate a problem, Laura: Stakeholder communication best practices, Completing a closeout report, Project impact report, Wrap-up, Personal closing report, Acing an elevator pitch, The STAR method, Interviewing remotely, Interview tips from Googlers, Boost your project management skills with AI, Use AI to create a project charter, Identify potential project risks with gen AI, Use AI to improve project communications, Execute your meetings more efficiently with AI, Plan sprint retrospectives using AI, Introducing Google AI Essentials, Congratulations from your instructors, Exploring Professional Opportunities
Course: Art and Science of Machine Learning en Français
Modules:
Présentation du cours, Getting Started with Google Cloud Platform and Qwiklabs
Introduction, Régularisation, Régularisations L1 et L2, Présentation de l'atelier : Régularisation, Atelier : Régularisation, Taux d'apprentissage et taille de lot, Optimisation, Présentation de l'atelier : Analyser les courbes d'apprentissage
Présentation, Paramètres et hyperparamètres, Aller au-delà de la recherche par quadrillage, Présentation de l'atelier : Exporter les données de BigQuery vers Google Cloud Storage, Présentation de l'atelier : Régler les hyperparamètres
Introduction, Régularisation à des fins de parcimonie, Atelier : Régularisation L1, Solution de l'atelier : Régularisation L1, Régression logistique
Introduction aux réseaux de neurones, Réseaux de neurones, Atelier : Terrain de jeu des réseaux de neurones, Entraîner les réseaux de neurones, Présentation de l'atelier : Créer un DNN à l'aide de l'API Keras Functional, Présentation de l'atelier : Entraîner des modèles à grande échelle avec AI Platform, Réseaux de neurones à classes multiples
Présentation des représentations vectorielles continues, Récapitulatif des représentations vectorielles continues, Recommandations, Représentations vectorielles continues basées sur les données, Tensors creux, Entraîner une représentation vectorielle continue, Propriété de similarité
Résumé du cours
Course: Reporting extra-financier et stratégie RSE
Modules:
Introduction du MOOC, Introduction de l'épisode 1, Témoignage de Sophie Flak, Eurazéo, Témoignage d'Alexandra Palt, L'Oréal, Témoignage de Pilar Barea et Peter Kersten, Atos, Témoignage de Christophe Vernier, Crédit Coopératif, Témoignage de Stéphane Dulon,  Logéo, Eclairage d'Etienne Campredon, Deloitte, Eclairage d'Adrian Zicari, ESSEC, Prenons du recul Partie 1, Prenons du recul Partie 2, Allons plus loin Partie 1, Allons plus loin Partie 2, Travail en correction par les pairs : vidéo de consignes
Introduction de l'épisode 2, Témoignage de Sophie Flak, Eurazéo, Témoignage d'Alexandra Palt, L'Oréal, Témoignage de Pilar Barea et Lionel de Souza , Atos, Témoignage de Pilar Barea et de Benjamin Bergeron, Atos, Témoignage d'Ophra Rebiere, Sanofi, Témoignage de Karine Hillaireau, PSA, Témoignage de Jean-Baptiste Léger, Pepsico, Eclairage d'Otto Kern, Deloitte, Eclairage de Jacques Igalens, IAE de Toulouse, Prenons du recul, Allons plus loin Partie 1, Allons plus loin Partie 2, Travail en correction par les pairs : vidéo de consignes
Introduction de l'épisode 3, Témoignage de Sophie Flak, Eurazéo, Témoignage d'Alexandra Palt, L'Oréal, Témoignage de Pilar Barea et Peter Kersten, Atos, Témoignage de Joël Tronchon, SEB, Témoignage de Karine Viel, Monoprix, Eclairage de Victor Caritte, Deloitte, Eclairage d'Olivier Fourcadet, ESSEC, Prenons du recul Partie 1, Prenons du recul Partie 2, Allons plus loin Partie 1, Allons plus loin Partie 2, Travail en correction par les pairs : vidéo de consignes
Introduction de l'épisode 4, Témoignage de Sophie Flak, Eurazéo, Témoignage d'Alexandra Palt, L'Oréal, Témoignage de Pilar Barea et de Benjamin Bergeron, Atos, Témoignage de Nathalie Touzin, MAIF, Témoignage de Raphaèle Leroy, BNP Paribas BBDF, Témoignage d'Elisabeth Didier, Kéring / Partie 1 :"L"EP&L : quoi ? pourquoi ? comment ?", Témoignage d'Elisabeth Didier, Kéring / Partie 2 : "L'EP&L : quelles difficultés de mise en oeuvre?", Eclairage de Nicolas de Jenlis, Deloitte, Eclairage de Kévin André, ESSEC, Prenons du recul, Allons plus loin, Travail en correction par les pairs : vidéo de consignes
Course: Understanding Cancer Metastasis
Modules:
Introduction to Understanding Cancer Metastasis, Introduction to History and Overview of Metastasis, History and Overview of Metastasis, History of Metastasis Theory, Introduction to the Sequential Steps of Metastasis
Introduction to Primary Tumor Growth and Neoangiogenesis, Tumor formation: Uncontrolled cell division, The role of mutations in primary tumor formation and evolution, Neoangiogenesis: new blood vessel formation in cancer, The primary tumor microenvironment: what else affects primary tumor growth?
Introduction to EMT / Invasion / Intravasation, Epithelial-mesenchymal transition, invasion, and intravision, Local Tumor Invasion, Intravasation
Introduction to Survival in the Circulation and Extravasation, Glossary of Terms, The Circulation, How cancer cells survive while in circulation, Becoming a circulating tumor cell (CTC) and evading immune detection, Homing to a new site in the body and extravasation
Introduction to Dormancy and Secondary Tumor Growth, Metastatic homing, Evidence for cancer dormancy, Cancer dormancy defined, Properties of dormant cancer cells, Secondary outgrowth
Introduction to Morbidity and Mortality, Distribution of Metastasis: Where do cancers spread?, Cancer Syndromes, Congratulations
Course: Building Reusable React
Modules:
Test your knowledge!
Test your knowledge!
Test your knowledge!
Test your knowledge!
Course: Differential Equations Part II Series Solutions
Modules:
Introduction Video, 1-1 Euler Equations 1, 1-2 Euler Equations 2, 1-3 Euler Equations 3, 1-4 Power Series 1
2-1 Power Series 2, 2-2 Power Series 3, 2-3 Power Series 4
3-1 Power Series 5, 3-2 Analyticity, 3-3 Singular and Ordinary Points 1, 3-4 Solutions about Ordinary Points 2, 3-5 Solutions about Ordinary Points 3
4-1 Solutions about Ordinary Points 4, 4-2 Frobenius Theorem 1, 4-3 Frobenius Theorem 2, 4-4 Frobenius Theorem 3
5-1 Frobenius Theorem 4, 5-2 Finding a Second Solution 1, 5-3 Finding a Second Solution 2, 5-4 Finding a Second Solution 3, 5-5 Finding a Second Solution 4, 5-6 Finding a Second Solution 5
6-1 Bessel Functions 1, 6-2 Bessel Functions 2, 6-3 Bessel Functions 3, 6-4 Bessel Functions 4, 6-5 Bessel Functions 5
7-1 Bessel Functions 6, 7-2 Legendre Polynomials 1, 7-3 Legendre Polynomials 2, 7-4 Legendre Polynomials 3, 7-5 Legendre Polynomials 4
Course: البرمجة في لغة Python
Modules:
مقدمة إلى الدورة التدريبية, كيف تستخدم لغة Python في الواقع؟, مقدمة حول البرمجة, ما سبب تميز لغة Python؟, التحقق من بيئة تشغيل Windows, التحقق من بيئة تشغيل Mac, جاري تشغيل التعليمة البرمجية- سطر الأوامر في VS IDE, أهمية المسافات في سياق لغة Python, المتغيرات, أنواع البيانات الأساسية, السلاسل, تحويل النوع, مدخلات المستخدم ومخرجات وحدة التحكم, الرياضيات والمعاملات الرياضية, التحكم في سير العمل: If / else, else if, العبارات التحويلية, عناصر إنشاء حلقة تكرارية, الحلقات التكرارية المتداخلة وتأثيرها على تعقيد الخوارزمية, ملخص الوحدة: الإعداد لبدء العمل باستخدام لغة Python
الدوال, نطاق المتغير, القوائم, المجموعات المترابطة, المجموعات, القواميس, وسائط الكلمات المفتاحية (kwargs), ما هي الاستثناءات؟, التعامل مع الاستثناء, التعامل مع الملفات في لغة Python, إنشاء الملفات, قراءة الملفات, ملخص الوحدة: البرمجة الأساسية باستخدام لغة Python
ما هي البرمجة الإجرائية؟, الخوارزميات, تعقيد الخوارزمية, ما هي البرمجة الوظيفية؟, الدوال النقية, التكرار, عكس سلسلة في لغة Python, التعيين والفلترة, مقدمة إلى البرمجة الموجهة للعناصر, فئات لغة Python ومثيلاتها, استنساخ عنصر مخصص, طرق المثيل, مقارنة بين الفئات الرئيسية والفرعية, الفئات والطرق المجردة, ترتيب حل الطريقة, ملخص الوحدة: نماذج البرمجة
ما المقصود بالوحدة في لغة Python؟, الوصول إلى الوحدات, عبارة الاستيراد, كتابة عبارات الاستيراد, تحديد مساحة الاسم والنطاق, الدالة reload(), الحِزم المعروفة: NumPy، مكتبات الباندا، Matplotlib، إلخ, حزم تحليل البيانات, التعلم الآلي، والتعلم العميق والذكاء الاصطناعي: Pyorch وTensorFlow, أطر عمل لغة Python على شبكة الإنترنت, ما المقصود بالاختبار؟, أنواع الاختبارات, اختبار حِزم التشغيل التلقائي, اختبارات كتابية باستخدام PyTest, التطوير المعتمد على الاختبار (TDD), تطبيق منهجية التطوير المستندة إلى الاختبار (TDD), ملخص الوحدة: الوحدات والحِزم والمكتبات والأدوات
تذكير بالدورة التدريبية: البرمجة بلغة Python, تهانينا، لقد أكملت البرمجة بلغة Python
Course: Data Science with NumPy, Sets, and Dictionaries
Modules:
Introduction: Representing Data, Object-Oriented Programming Overview, Classes, Constructors, Modules and Import Statements, Sets: Motivation, Sets in Python, Dictionaries: Introduction, Combining Dictionaries with Classes and Sets, Word Counts: Motivation
Live Coding: Exploring Vector Data
Live Coding Demo: Subsetting and Filtering Matrices
Live Coding: Demonstrating Vectorization
Course: Goldman Sachs 10,000 Women के साथ, वित्तीय योजना के मूल सिद्धांत
Modules:
स्वागतम्, नकदी प्रवाह चक्र का परिचय, नकदी प्रवाह पूर्वानुमान विकसित करना, नकदी प्रवाह पूर्वानुमान का विश्लेषण, पूर्वानुमान का मूल्य
Course: Understanding the Value of Human-Centered Design
Modules:
How to Navigate Ambiguity
How to Work Strategically
How to Understand Needs
How to Explore Possibilities
How to Coordinate Action, Design Thinking - What's Next