dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Challenging Forensic Science: How Science Should Speak to Court
Modules:
Course Introduction: Meet your Lausanne Team, Presentation and visit of The School of Criminal Justice, Course learning objectives, Week 1 Introduction: What is the “DNA” of a Good Forensic Report?, Forensic Science and Evaluative Reporting, Uncertainty in the Criminal Trial, Principles of forensic reporting (Part A): 1st Principle, Principles of forensic reporting (Part B): 2nd and 3rd Principles, ENFSI Guideline for Evaluative Reporting, Conclusion of week 1: What is the “DNA” of a Good Forensic Report?, Interview  with Prof. Colin Aitken, Interview with Dr. Sc. Sheila Willis
Week 2 Introduction - Elementary: Source is not Activity! !, Part A - DNA recovered on a suspect (1): Hierarchy of Propositions, Part A - DNA recovered on a suspect (2): the Weller Case, Part B - Gunshot residues recovered on a suspect: The George case, Part C - DNA recovered on a victim (1): the Butler and Nealon cases, Part C - DNA recovered on a victim (2): Checklist for auditing statements, Week 2 Conclusion - Elementary: Source is not Activity !, Interview with  Dr. Sc. CBE Ian Evett and Prof. Graham Jackson
Week 3 Introduction: DNA is not the Magic Bullet, DNA in the lab (1): From Detection to Quantification, DNA in the lab (2): From Amplification to DNA Profile, Part A - The Knox and Sollecito case (1) Summary of the circumstances, Part A - The Knox and Sollecito case (2) Low Template DNA, Part A - The Knox and Sollecito case (3) Discussion and Conclusion, Part B - Transfer and pollution (1) the Jama case, Part B - Transfer and pollution: The Probability of Error/Pollution, Part C - Transfer and pollution: the Anderson and Scott cases, Week 3 Conclusion: DNA is not the Magic Bullet, Interview with Prof. Peter Gill, Interview with Prof. Pierre Margot
Week 4 Introduction: Trials by Numbers or Numbers on Trial ?, Part A - Statistics in Court (1):  the Clark and Collins Cases, Part A - Statistics in Court (2):  the Clark and Collins Cases, Part B - The Transposed Conditional (1): Prosecutor's Fallacy, Part B - The transposed conditional (2): The Adams and the Dreyfus Cases, Week 4 Conclusion: Trials by Numbers or Numbers on Trial ?, Interview with Prof. David Kaye, Interview with Prof. William Thompson
Week 5 Introduction: the Wonderland of Certainty, Detection of fingermarks in the laboratory, Part A - Identification with Earmarks (1): The Dallagher Case, Part A - Identification with Earmarks (2): The Dallagher Case, Part B - Identification with Fingermarks (1): The McKie Case, Part B - Identification with Fingermarks (2): The McKie Case, Part C - Identification with Fingermarks: The Mayfield Case, Analysis and comparison of the fingermark in Mayfield Case, Week 5 Conclusion: The Wonderland of Certainty, Interview with Mr Iain McKie, Interview with Dr Brandon Mayfield and Prof. Sharia Mayfield, Course Conclusions
Course: Discovering BI: From Warehousing to Interactive Dashboards
Modules:
Introduction to the Course & Meet Your Instructor, Introduction to Business Intelligence, Data Warehousing Definition and Principles, Business Intelligence Tools, Introduction to Data Visualization, Google Big Query Overview, Looker Studio Overview, Free & Fictional Dataset from Looker, Creating Business Problems, Creating a Dashboard, Congratulations! What's Next?
Course: Logging and Monitoring in Google Cloud - Français
Modules:
Présentation du cours
Présentation du module, Les besoins en matière d'observabilité dans Google Cloud, Cloud Monitoring, Cloud Logging, Error reporting, Outils de gestion des performances des applications, Résumé du module
Descripción general del módulo, Descripción general de Monitoring, Patrones de la arquitectura de Cloud Monitoring, Supervisión de múltiples proyectos, Modelo de datos y paneles, Métricas de consultas, Verificaciones de tiempo de actividad, Coursera: Premiers pas avec Google Cloud Platform et Qwiklabs, Resumen del módulo
Présentation du module, SLI, SLO et SLA, Développer une stratégie d'alerte, Créer des alertes, Service Monitoring
Présentation du module, Présentation et architecture de Cloud Logging, Types de journaux et collecte, Stockage, routage et exportation des journaux, Interrogation et affichage des journaux, Utilisation des métriques basées sur les journaux, Analyse de journaux, Résumé du module
Présentation du module, Cloud Audit Logs, Journaux d'audit des accès aux données, Format d'entrée des journaux d'audit, Bonnes pratiques, Résumé du module
Résumé du cours 1
Course: Securing Linux Systems
Modules:
File and Directory Permissions, Access Control Lists, Context-Based Permissions, Account Types and Privilege Escalation, Week 1 Lab Solution
Pluggable Authentication Modules (PAM), Public Key Infrastructure (PKI), Secure Shell (SSH), Virtual Private Network (VPN)
System Logging, Systemd Journaling, Backups, Archive and restore tools, Week 3 Lab Solution
ACL in Firewalls, Firewall Technologies, Packet Forwarding, Intrusion Detection Systems
Course: HPE Aruba Networking Basics (Spanish)
Modules:
Comprendiendo Redes Domesticas, Laboratorio 1: Adaptador de Red de la Computadora, Explorar el Encapsulamiento, Modelo OSI, Portafolio Aruba CX Switch, Laboratorio 2: Conectandose al Switch, Verificacion de Conocimiento 1, Laboratorio 3 Parte 2: Comunicacion Entre Computadoras Diferentes Switches
Dominios, Verificacion de Conocimiento 2, VLANs, Verificacion de Conocimiento 3, Laboratorio 4: Criacion de VLANs y Asignacion en Puertos de Borde, Etiquetado 802.1Q, Laboratorio 5: Trunking 802.1Q, Loops de Capa 2 y Spanning-Tree, Laboratorio 6 Parte 2: Agregacion de enlaces
Introduccion al Diseño de Red, Verificacion de Conocimiento 4, Enrutamiento y Direccionamiento IP, Verificacion de Conocimiento 5, Laboratorio 7: Enrutamiento IP, Enrutamiento entre VLANs, Verificacion de Conocimiento 4, Enrutamiento Estatico, Laboratorio 8: Enrutamiento Estatico, Protocolo de Enrutamiento, OSPF 3-9, Laboratorio 9: OSPF
Course: Sistemática de Comércio Exterior
Modules:
Sistema Informatizado, Habilitação Radar, Órgãos Anuentes, Perfil do Profissional
Zona Primária, Zona Secundária e Porto Seco, Trânsito Aduaneiro, Aula 4 | Planejamento Logístico
Conceitos, Amostra, Admissão Temporária, Drawback
Plataformas de Apoio, Feiras Internacionais, Pesquisa de Mercado, Barreiras à Exportação
Course: Design your own trading strategy – Culminating Project
Modules:
Introduction
How to read an academic paper - a, How to read an academic paper - b, How to read an academic paper - c, How to read an academic paper - Abstract
Pairs Trading: Performance of a relative value arbitrage rule - 2
Piotroski F-Score : Implementation - a, Piotroski F-Score : Implementation - b, Piotroski F-Score : Wrap up
Measuring portfolio or fund returns, Benchmarks for portfolio performance evaluation, Alternate performance measures
Pairs trading Culminating project
Course: Theatre and Globalization
Modules:
Introduction to Global Theatre Histories (GTH), Globalization, Deterritorialization, Modernization, and Connectivity, Methodology, Course Outline, Resources for Global Theatre Histories
Introduction - Deterritorialization and Modernization, Mobility, Theatre on the Move, Touring, The Exhibitionary Complex, Mei Lanfang - Interview with Catherine Yeh
Global Players - Introduction, Sarah Bernhardt, Connecting the World. Newspaper Networks, Daniel Bandman, Kawakami Otojirō and Sadda Yacco, Theatrical Management, Theatrical Agents
Global Hubs and Local Theatres- Introduction, Cairo, Bombay, Manila, Shanghai, Theatres and Modernization - Assignment
Theatre and the Cold War, The Iron Theatrical Curtain, Cultural Diplomacy, The Stanislawski System, Interview with Dr. Li Yinan, Porgy and Bess in the Soviet Union, Theatrical Public Goods, The Cost Disease, Interview with Prof. Stephen Wilmer, Decolonizing the Stage: Theatrical Interweaving
Introduction, Theatre Festivals, Megamusicals, Interview with Christina Lagao, Interview with David Savran, New Theatre Buildings, Transmedia Storytelling, Theatrical Global Media: Livecast, Wrapping Up
Course: Architecting with Google Kubernetes Engine: Foundations - 繁體中文
Modules:
課程簡介基礎
簡介, 雲端運算和 Google Cloud, 資源管理, 帳單, 與 Google Cloud 互動, 研究室簡介, Coursera：開始使用 Google Cloud Platform 和 Qwiklabs, 研究室解決方案, 摘要
簡介, 容器簡介, 容器和容器映像檔, 研究室簡介, 研究室解決方案, Kubernetes 簡介, Google Kubernetes Engine 簡介, 運算選項的詳細資料, 摘要
簡介, Kubernetes 概念, Kubernetes 管理控制層, Google Kubernetes Engine 概念, Kubernetes 物件管理, 研究室簡介, 研究室解決方案, Migrate for Anthos 簡介, Migrate for Anthos 架構, 遷移路徑, Migrate for Anthos 安裝, 摘要
Course: Kids with Cancer Still Need School: The Providers Role
Modules:
Housekeeping
Understanding the Need: Uncovering the Misconceptions
Listen to this, Understanding and Communicating About Educationally Relevant Effects
Understanding Schooling - Available Supports: The Education Landscape
Using Roadmaps to Support Families: Becoming familiar and planning dissemination
Use the code at the end of the post-test to complete this quiz
Course: Protect and Grow Your Freelancing Business
Modules:
Course Introduction, Get acquainted with our freelancers, Introducing Rajib Karmakar, Introducing Nick Rodrigues, Introducing Socks Whitmore
How to Protect Your Company, Risk Management, Socks on freelancing surprises, Understand laws related to freelancing, When is it time to incorporate?, Socks on doing business as an individual
Craft a compelling proposal, Develop of a clear scope of work, The Horrible Handshake, Collecting Signatures, Socks on contracts, Getting Paid, Socks on keeping contractual records
Hiring a Team Member, Nick on assembling a dream team, Managing a Team Member, Passwords & Account Management, Rajib on coaching a team, Saying Goodbye to a Team Member, Rajib on facing and overcoming obstacles
Types of Insurance and Benefits, Prepare for Taxes, Nick on balancing finances, Course Conclusion
Course: Mitigating Security Vulnerabilities on Google Cloud 日本語版
Modules:
スタートガイドにようこそ
モジュールの概要, DDoS 攻撃の仕組み, Google Cloud における DDoS の軽減手法と予防策, 関連するパートナー プロダクトの種類, ラボの概要: Google Cloud Armor を使用してトラフィック拒否リストを構成する, Coursera: Google Cloud と Qwiklabs を使ってみる, モジュールの復習
モジュールの概要, 脅威:  ランサムウェア, ランサムウェア対策, 脅威:  データの不正使用、プライバシーの侵害、機密コンテンツ, コンテンツ関連の対策, ラボの概要: DLP API を使用して機密データを秘匿化する, モジュールの復習
モジュールの概要, Security Command Center, 階層と料金体系, デモ: Security Command Center の使用, Cloud Monitoring と Cloud Logging, ラボの概要: Cloud Logging と Cloud Monitoring を構成、使用する, Cloud Audit Logs, ラボの概要: Cloud Audit Logs を構成、表示する, クラウド セキュリティの自動化, モジュールの復習
Course: Medical Terminology II
Modules:
Course Introduction
Endocrine - Introduction and Word Parts, Endocrine - Subjective Terms, Endocrine - Objective Terms, Endocrine - Assessment Terms, Endocrine - Plan Terms
Blood and Lymphatic - Introduction and Word Parts, Blood and Lymphatic - Subjective Terms, Blood and Lymphatic - Objective Terms, Blood and Lymphatic - Assessment Terms, Blood and Lymphatic - Plan Terms
Cardiovascular - Intro and Word Parts, Cardiovascular - Subjective Terms, Cardiovascular - Objective Terms, Cardiovascular - Assessment Terms, Cardiovascular - Plan Terms
Respiratory - Intro and Word Parts, Respiratory - Subjective Terms, Respiratory - Objective Terms, Respiratory - Assessment Terms, Respiratory - Plan Terms
Course Conclusion
Course: 抗菌药与超级细菌 －－天使与魔鬼的博弈
Modules:
“课程宣传片”（02:50）, “课程知识结构树”（00:39）
“知识树之第1章节”（00:09）, “教学情景剧1：揭开魔鬼的面纱”（01:47）, 1.1授课视频（16:57）, 1.2授课视频（08:22）, 1.3授课视频（09:28）, 1.4授课视频（09:02）
“知识树之第2章节”（00:09）, “教学情景剧2：抗菌药发现之旅”（01:50）, 2.1授课视频（17:45）, 2.2授课视频（09:37）, 2.3授课视频（08:30）, 2.4授课视频（10:11）
“知识树之第3章节”（00:09）, “教学情景剧3：抗菌药作用百事通”（01:21）, 3.1授课视频（11:42）, 3.2授课视频（20:14）, 3.3授课视频（12:13）, 3.4授课视频（10:14）
“知识树之第4章节”（00:09）, “教学情景剧4：用好双刃剑”（01:14）, 4.1授课视频（10:54）, 4.2授课视频（11:13）, 4.3授课视频（08:16）, 4.4授课视频（08:01）
“知识树之第5章节”（00:09）, “教学情景剧5：天使孕育了魔鬼”（2:09）, 5.1授课视频（12:47）, 5.2授课视频（09:49）, 5.3授课视频（08:31）, 5.4授课视频（06:41）
“知识树之第6章节”（00:09）, “教学情景剧6：特别的药给特别的你”（00:59）, 6.1授课视频（14:47）, 6.2授课视频（11:04）, 6.3授课视频（07:17）, 6.4授课视频（09:05）
“知识树之第7章节”（00:09）, “教学情景剧7：抗菌药监管”（01:12）, 7.1授课视频（07:32）, 7.2授课视频（07:16）, 7.3授课视频（06:48）, 7.4授课视频（11:22）
Course: Information & Digital Literacy for University Success
Modules:
Welcome to the Academic Skills for University Success Specialization!, 1.1a Welcome and Course Information, 1.1b Introduction to Example Essay Question, 1.2a Introduction to Academic Culture, 1.2b Introduction to Digital Literacy, 1.3 Survival Skills for University, 1.4 Academic Integrity
2.1a The Scholarly and Cultural Record, 2.1b Primary, Secondary and Tertiary Sources, 2.1c Discipline Specific Information, 2.2a Common Information Sources at University, 2.2b Characteristics of Journal Articles, 2.3 Accessing Information (Experts), 2.4a Defining an Information Need, 2.4b Developing a Search Strategy, 2.4c Documenting and Evaluating the Search Strategy
3.1a Critically Evaluating Information, 3.1b Critically Evaluating Web Resources, 3.1c Critically Evaluating Wikipedia (Screencast), 3.2a Establishing Relevance, 3.2b Establishing Relevance, 3.3a Managing Information: Files, 3.3b Managing Information: Folders, 3.4a Processing and Coding: Steps 1 and 2, 3.4b Processing and Coding: Step 3
4.1 Avoiding Plagiarism, 4.2 Referencing & Attributing Resources, 4.3a Incorporating Sources, 4.3b Incorporating Sources: Quotes, 4.3c Paraphrasing and Summarising, 4.4a Referencing Software, 4.4b Mendeley, 4.4c Zotero, 4.4d EndNote
5.1a Copyright, 5.1b Creative Commons Licencing, 5.2 Digital Networks for Learning and Research, 5.3a Managing Digital Identity, 5.3b Presenting yourself online, 5.4a Communicating Online, 5.4b Emailing Lecturers, 5.4c Writing an Email, 5.4d Discussion Board Netiquette
Summative assignment overview, How to mark your peer's assignments, Practice peer marking activity answers
Course: Global Statistics - Composite Indices for International Comparisons
Modules:
Trailer, 1.1.1 Welcome - introduction to the objectives and content of the course
2.1.1 Definition of indicators and composite indices, 2.1.2 Need, use, pros and cons of composite indices, 2.2.2 Statistical offices and the public demand, part I, 2.2.3 Statistical offices and the public demand, part II, 2.2.4 The demand for social indicators, 2.2.5 The political demand, part I, 2.2.6 The political demand, part II, 2.3.1 Good practices for composite indices, part I, 2.3.2 Good practices for composite indices, part II, 2.4.1 Constructing composite indices: an overview
3.1.1 Developing an economic/statistical framework, part I, 3.1.2 Developing an economic/statistical framework, part II, 3.1.3 Selecting variables and data issues, 3.2.1 A unifying framework for composite indices, 3.2.2 The transformation functions, 3.2.3 The elasticity of substitution, 3.3.1 Choosing the weights, part I, 3.3.2 Choosing the weights, part II, 3.3.3 Choosing the weights, part III, 3.4.1 Robustness of results
4.1.1 Introduction, 4.1.2 Introduction to the index and YLMI tool, 4.1.3 Index components, 4.1.4 Index aggregation and results, 4.1.5 User perspective, 4.2.1 Motivation of the KOF Globalization index, 4.2.2 Selection of variables, 4.2.3 Normalization, weighting and aggregation, 4.2.4 Results, 4.2.5 User perspective
5.1.1 Introduction, 5.1.2 Global overview of the export potential assessment, 5.1.3 Motivation and data treatment, 5.1.4 Economic framework, 5.1.5 First dimension: the supply side, 5.1.6 Second dimension: the demand side, 5.1.7 Third dimension: the bilateral trade relations, and results, 5.1.8 Aggregation and final indicator construction, 5.2.1 Overview of PDI, motivation and data treatment, 5.2.2 The product space methodology, 5.2.3 Dimensions of the index: supply and demand sides, and results, 5.2.4 User perspective
6.1.1 Introduction, 6.1.2 Introduction of the UNCTAD  institution, 6.1.3 Motivation and plan, 6.1.4 LSCI: history and data, 6.1.5 LSCI: component and computation, 6.1.6 LSCI: stylized facts, 6.1.7 LSBCI: motivation and data, 6.1.8 LSBCI: components and computation, 6.1.9 LSBCI: stylized facts, 6.1.10 Conclusion remarks, 6.1.11 User perspective, 6.2.1 Introduction and motivation for the Human Development index, 6.2.2 Indicators: selection and data issues, 6.2.3 Aggregation, methods and reasoning, 6.2.4 Interview of Flavio Comim: A response to the common criticisms of the HDI, 6.2.6 Interview of Selim Jahan, part I: History of the Human Development index, and its major strengths and weaknesses, 6.2.7 Interview of Selim Jahan, part II: Other indices in the Human Development Report (HDR), and future of the HDR, Conclusion
Course: Réussir le Changement
Modules:
Introduction
L'importance du changement, Les grands modèles de la conduite du changement, Les grands leviers de la conduite du changement, La fonction RH et la conduite du changement, Les compétences en conduite du changement
Kurt Lewin, Rosabeth Moss Kanter, John Kotter
Qualification d'un projet : Cartographie des acteurs et des changements, Diagnostic socio-organisationnel : Marguerite sociologique, Irritants, Résistance, Etudes d'impacts : qualitative et quantitative, Trajectoires de changement
Plan de communication, Plan de formation et plan d'accompagnement, Pilotage du changement
Changement et leadership, Le manager au cœur de l'animation du changement
Le modèle agile et le modèle instrumental, Les ateliers  participatifs, Pilotage de la transformation
Course: الشبكات العصبونية الالتفافية
Modules:
الرؤية الحاسوبية, مثال عن الكشف عن الحواف, الكشف عن الكثير من الحواف, التذييل, التلافيف سريعة الوتيرة, عمليات تلافيف على الحجم, طبقة واحدة من الشبكة الالتفافية, مثال على شبكة التفافية بسيطة وسهلة, طبقات الجمع, مثال على شبكة عصبونية التفافية, لماذا نستخدم التلافيف؟, مقابلة يان ليكون
لماذا نطلع على دراسات الحالة؟, الشبكات الكلاسيكية, الشبكات المُتبقية, لماذا تعمل الشبكات المتبقية؟, شبكات داخل شبكات وتلافيف 1×1, تحفيز الشبكة الافتتاحية, الشبكة الافتتاحية, الاستعانة بالتنفيذ ذي المصدر المفتوح, نقل التعلم, إكثار البيانات, حالة الرؤية الحاسوبية
تعريب الكائنات, الكشف عن النقاط الاستدلالية, الكشف عن الكائنات, تنفيذ التلافيف الخاصة بالنوافذ المتحركة, توقعات المربعات المحيطة, التداخل في الاتحاد, إيقاف بدون حد أقصى, مربعات أنكور, خوارزمية يولو, (اختياري) المقترحات الخاصة بالمنطقة
ماذا يعني التعرف على الوجه؟, التعلم السريع, الشبكة السيامية, الخسارة الثلاثية, التحقق من الوجه والتصنيف الثنائي, ما هو نقل النمط العصبوني؟, ما هو التعلم العميق للشبكات العصبونية الالتفافية؟, دالة التكلفه, دالة تكلفة المحتوى, دالة تكلفة النمط, تعميمات 1D و3D
Course: Data Analysis and Visualization with Power BI
Modules:
Course introduction, Analysis for Business Intelligence, What are visualizations?, Common visualizations, Creating a basic report, Table visualization, Bar and column charts, Line and area charts, Combo charts, Pie and donut charts, Treemaps, Displaying Key Performance Indicators, Ribbon and waterfall charts, Funnel charts, Scatter charts, Module summary: Creating Reports
Accessibility in reports, Formatting and configuring visualizations, Conditional formatting, Working with themes, Adding custom tooltips, Report hierarchies, Report drillthrough, Sorting and filtering data in reports, Cross-filter and cross-highlight, Adding slicers, Adding buttons, Adding bookmarks, Group and layer visuals, DAX filter context in visualizations, Module summary: Navigation and Accessibility
What is a dashboard?, Creating a dashboard, Improving usability in dashboards, Limitations of pinned visuals, Publishing reports, Pagination and exporting reports, Introduction to the Performance Analyzer, Resolving performance issues in DAX, Using variables for performance, Using variables for troubleshooting, Module summary: Bringing Data to the User
Introduction to analytics, Statistical summary, Group and bin data for analysis, Histograms and Top N, Clustering techniques, Continuous and categorical axes, Using the Analyze feature, Conducting a time series analysis, Creating reference lines, Forecasting, Key Influencers, Decomposition trees, Module summary: Identifying Patterns and Trends
Course recap: Data Analysis and Visualization with Power BI, Congratulations
Course: Communicating Business Analytics Results
Modules:
0. Introduction to the Course, 1. Information Action Value Chain Redux, 2. Analytics in Classic Business Problems, 3. Analytics in Emergent Business Problems
Module Introduction, Vehicles to Present Quantitative Information, Data Visualization Examples, Graphs in Excel and ASP, Graphical Excellence, Techniques to Display Multiple Variables, Excel Charts to Avoid
Correlation vs Causation, Common Cognitive Biases, Misleading With Data, Market Experiments: When the action is the question, Know thy Audience, Telling compelling stories, Making It Real
Case Study 1: Experiment Driven Analytics and Customer Churn, Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 1, Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 2, Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 3
Course: Gemini in Gmail - Bahasa Indonesia
Modules:
Pengantar Gemini di Gmail, Membuat Draf Email dengan Gemini, Menyempurnakan Perintah dan Draf, Penjelasan Aktivitas
Course: Factory Automation: Shaping the Future of Manufacturing
Modules:
Introduction to the course & meet the instructor, The history of modern manufacturing, Understanding industry 4.0 technologies, The impacts of automation in Manufacturing, Introduction to Automation Technology, The Automation Pyramid, Types of Automation in Manufacturing, Advantages of automation, Challenges of automation, Overcoming the challenges of automation
Introduction to module 2, Assessing factory readiness for automation, Blueprinting automation integration, Case study: Automation success stories, Evaluating automation technologies, Cost-benefit analysis of automation, Case study: Choosing the right tech, The human factor in automation, Training for an automated workplace, Case study: Upskilling for automation
Introduction to module 3, Introduction to industrial robots, Robotics system configuration, AI in manufacturing, Basic types of machine learning models, Implementing machine learning, Safety standards for automated equipment, Ergonomic design in automation, Ergonomic equipment for factory automation
Introduction to module 4, Foundations of industry 5.0, The synergy of industry 5.0 within objectives of sustainable development, Integrating ethics and technology in industry 5.0, Fundamentals of humanoid robots, Benefits and challenges of humanoid robots, Case study: Humanoid robots in production line, Automation for sustainable manufacturing, ESG for manufacturing, Case study: Green automation initiatives, Wrap-up & Key-takeaways
Course: Understanding Obesity
Modules:
Rules of engagement, Why is obesity a problem?, What do we know about appetite and obesity? Part 1, What do we know about appetite and obesity? Part 2
The physiology of appetite, Early-life experience
The psychology of appetite, Economic approaches to obesity
Post-Course Survey
Course: Overcoming Bias
Modules:
Introduction to Overcoming Bias, Definitions and Situations
Workplace Bias
Bias 360, Required Readings & Resources, Supplemental Resources
Strategies for Overcoming Bias
Course: Writing a Personal Essay
Modules:
Open Your Eyes, Five Nouns, Open the Window, Foibles, Fallibilities, and Flaws, A Conversation with Said Sayrafiezadeh
Step by Step, Out of the Ditch, Building As You Go, A Little Distance, A Conversation with Dani Shapiro
The Intimate and the Everyday, What Are Facts For?, In the Story, A Conversation with Chandra Prasad
Begin in the Middle, Drowning in Rhinestones, White Space, A Conversation with Ariel Levy, Building the House
Course: Creación de beats (patrones rítmicos)
Modules:
Bienvenido a tu curso, Construcción de kits de batería Parte 1, Construcción de kits de batería Parte 2
Secuenciación de patrones rítmico Parte 1, Secuenciación de patrones rítmico Parte 2.1, Secuenciación de patrones rítmico Parte 2.2
Grooves y humanización de patrones rítmicos P1.1, Grooves y humanización de patrones rítmicos P1.2, Grooves y humanización de patrones rítmicos P2.1, Grooves y humanización de patrones rítmicos P2.2
Aplicación de efectos y control de la mezcla P1.1, Aplicación de efectos y control de la mezcla P1.2, Aplicación de efectos y control de la mezcla P2.1, Aplicación de efectos y control de la mezcla P2.2, Video de cierre
Course: TensorFlow on Google Cloud - Italiano
Modules:
Introduzione
Introduzione all'ecosistema TensorFlow, Introduzione a TensorFlow, Gerarchia delle API di TensorFlow, Componenti di Tensorflow: tensori e variabili
Introduzione, Riassunto dell'ML, Addestramento su set di dati di grandi dimensioni con l'API tf.data, Utilizzo della memoria e dei file, Preparazione dei dati per l'addestramento del modello, Incorporamenti, Coursera: Introduzione a Google Cloud e Qwiklabs, Introduzione al lab: API Dataset di TensorFlow, Scalabilità dell'elaborazione dei dati con gli strati di pre-elaborazione di tf.data e Keras, Introduzione al lab: Classificazione dei dati strutturati utilizzando gli strati di pre-elaborazione di Keras
Introduzione, Funzioni di attivazione, Addestramento di reti neurali con TensorFlow 2 e l'API Keras Sequential, Distribuzione di modelli nel cloud, Introduzione al lab: Introduzione all'API Keras Sequential su Vertex AI Platform, Addestramento di reti neurali con TensorFlow 2 e l'API Keras Functional, Introduzione al lab: Creazione di un DNN con l'API Keras Functional su Vertex AI Platform, Creazione di sottoclassi del modello, Nozioni di base sulla regolarizzazione, Come si misura la complessità del modello -  Regolarizzazione L1 e L2
Introduzione, Addestramento su larga scala con Vertex AI, Introduzione al lab: Addestramento su larga scala con il servizio Vertex AI Training
Riepilogo, Risorsa: Tutte le domande del quiz, Risorsa: Tutte le letture, Risorsa: Tutte le slide (English only)
Course: Application Modernization for Enterprise Systems
Modules:
Introduction, Introduction to the purpose of modernization, Introduction to DevOps, Introduction to Common Tooling, Introduction to REST enablement, Linux and OpenShift
Application Discovery, DevOps, APIs and API Management
Colocating Applications, Modern access to Z data, Respond to External Events, Optimized CQRS, Summary
Course: Building Resilient Teams
Modules:
Introduction to the Course & Meet Your Instructor, Introduction to Team Resilience, The Four Pillars of Team Resilience, Why Team Resilience Matters in Today's Workplace, Measuring Team Resilience, The Role of Leadership in Building Team Resilience, Creating a Culture of Trust and Psychological Safety, Promoting Collaboration and Shared Goals, Embracing Diversity and Inclusion for Stronger Teams, Developing a Growth Mindset for Teams, Strategies for Adapting to Change and Uncertainty, Effective Communication in Resilient Teams, Resolving Conflict Constructively, Congratulations and Continuous Learning Journey
Course: AI Infrastructure and Operations Fundamentals
Modules:
Course Overview, AI Transformation Across Industries, Introduction to Artificial Intelligence, Generative AI Overview, Accelerating AI with GPUs, AI Software Ecosystems, Data Center and Cloud Computing
Data Center Platform, GPUs and CPUs for AI, Multi-GPU Systems, Introduction to DPUs, Networking for AI, Storage for AI, Energy Efficient Computing, Reference Architectures, AI in the Cloud Unit Overview, Introduction to AI in the Cloud, AI Use Cases in the Cloud, AI in the Cloud Considerations, Supported Cloud Service Providers and Consumption Models, NVIDIA Solutions in the Cloud
AI Data Center Management and Monitoring, Orchestrationm, MLOps, and Job Scheduling
NVIDIA Certified Associate – AI Infrastructure and Operations
Course: Teradata: Building Analytics Systems
Modules:
Welcome to Building Analytics Systems, Additional Data Sources, Scenario: Additional Data Sources at NexaMart Coffee Bean, Application Programming Interfaces, Scenario: Using APIs at NexaMart, Teradata's Tools and Architecture, Growing with Teradata, Scenario: New Challenges at NexaMart Coffee Bean Scrum, Integrating More Data in Teradata - Key Takeaways
Introduction to Data Exploration Functions, Categorical Summary, Scenario: Categorical Summary at NexaMart Coffee Bean, Instructor Demonstration: Categorical Summary, Column Summary, Scenario: Column Summary at NexaMart Coffee Bean, Instructor Demonstration: Column Summary, Data Exploration Functions - Key Takeaways
Welcome to Path and Pattern Analysis, Sessionize, Sessionize at NexaMart Coffee Bean, Instructor Demonstration: Sessionize, nPath, nPath at NexaMart Coffee Bean, Instructor Demo: nPath, Path and Pattern Analysis - Key Takeaways
Introduction to Text Analytics, nGramSplitter, nGramSplitter at NexaMart Coffee Bean, Instructor Demonstration: nGramSplitter, Sentiment Extractor, Sentiment Extractor at NexaMart Coffee Bean, Instructor Demonstration: Sentiment Extractor, Text Analytics - Key Takeaways, Completion of Our Teradata Specialization
Course: Program Management: Execution, Stakeholders & Governance
Modules:
Video: Course Introduction, Expert Viewpoints: Meet the Experts, Stakeholder Identification and Analysis, Demo: The Stakeholder Register, Effective Stakeholder Engagement, Expert Viewpoints: Effective Stakeholder Engagement, Collaboration Factors Impacting Program Success, Principle of Synergy, Expert Viewpoints: Effective Collaboration, Collaboration to Achieve Results
Managing Change, Organizational Maturity, The Program Change Management Office, Expert Viewpoints: Organizational Maturity and Change, Program Resource Management, Resource Management Plan, Demo: Resource Budget Management, SME Video: Resource and Budget Planning
Program Financial Management, Demo:  Planning Key Financials, Program Procurement Planning, Expert Viewpoints:  Financial and Procurement Planning, Governance Framework, Demo Video: Earned Value (EVM) Management as a Governance Tool, Expert Viewpoints: Governance, PMI Code of Conduct
Course Highlights and Key Takeaways
Course: 산업용 IoT 시장 및 보안
Modules:
소개, 세그먼트 1 - 전체 과정 개요, 세그먼트 2 - 전체 과정 개요(계속), 세그먼트 3 - Industry 4.0, 세그먼트 4 - 활성화 요인, 세그먼트 5 - 비즈니스 고려 사항, 세그먼트 6 - 사이버 물리 시스템, 시장 성장, 세그먼트 7 - 최고의 플레이어, 시장 역학, 세그먼트 8 - 에너지 시장 예제, 세그먼트 9 - 개발할 핵심 기술
세그먼트 1 - 플랫폼, 소프트웨어 및 서비스 개요, 세그먼트 2 - 장치, 애플리케이션 및 네트워크 관리, 세그먼트 3 - 배포 예시: 건물 자동화, 세그먼트 4 - 소프트웨어 솔루션, 세그먼트 5 - 서비스
세그먼트 1 - 자동차 및 운송, 세그먼트 2 - 산업(제조), 세그먼트 3 - 건물 자동화, 세그먼트 4 - 석유 및 가스, 세그먼트 5 - 농업, 세그먼트 6 - 실시간 운영 시스템(RTOS)
세그먼트 1 - 선도적인 네트워크 및 ISP 공급자, 세그먼트 2 - 네트워크 용어, 세그먼트 3 - NFV(네트워크 기능 가상화), 세그먼트 4 - SDN(소프트웨어 정의 네트워크), 세그먼트 5 - 메시징 체계, 세그먼트 6 - 장거리 무선 프로토콜, 세그먼트 7 - LoRa WAN, 세그먼트 8 - Ingenu, 세그먼트 9 - 위성 통신, 세그먼트 10 - 단거리 무선 프로토콜, 세그먼트 11 - ANT+, 세그먼트 12 - WiFi, 세그먼트 13 - ZigBee, 세그먼트 14 - WHART, 세그먼트 15 - EnOcean, 세그먼트 16 - Z-Wave, 세그먼트 17 - NFC
세그먼트 1 - 소개, 보안 사고 방식, 세그먼트 2 - 암호화 알고리즘 1부, 세그먼트 3 - Diffie-Hellman, 암호화 알고리즘 2부, 세그먼트 4 - 해시 및 MAC 기능, 세그먼트 5 - 보안 펌웨어 업데이트, 난수 생성, 세그먼트 6 - 위협 벡터, 공격: 중간자, 리플레이, 세그먼트 7 - 보호 방법, 부채널 공격, 세그먼트 8 - 신뢰 사슬, 세그먼트 9 - 취약한 보안 구현의 예시, 세그먼트 10 - 뉴스에 나오는 사건, 사건에 대비한 계획, 세그먼트 11 - 웹 브라우저, 보안 인증서, 세그먼트 12 - 블록체인, 세그먼트 13 - Don Matthews, 의제, 표준 알고리즘 사용, 세그먼트 14 - Don Matthews, 공격 1부, 세그먼트 15 - Don Matthews, 공격 2부, 위협 모델, 세그먼트 16 - Don Matthews, 마모, 세그먼트 17 - Don Matthews, 더 많은 공격, 세그먼트 18 - Don Matthews, "우리만이 할 수 있다", 세그먼트 19 - Don Matthews, 공격에 대한 추가 정보, 세그먼트 20 - Don Matthews, 의도하지 않은 결과, 윤리적 해킹, 세그먼트 21 - 미국 보안 표준, 요약
Course: Valuing nature and people to inform business decision-making
Modules:
Welcome by Mark Gough - CEO Capitals Coalition, Paul Polman - Co-author of Net Positive and founder of Net Positive World Movement, Course Introduction, Welcome, Business risks and opportunities related to nature, people and society, Interview with Volkert Engelsman, CEO, EOSTA: The business case for including nature, people and society into decision-making, The Integrated Capitals Approach: the Natural Capital Protocol and the Social & Human Capital Protocol, Häagen-Dazs on impacts and dependencies, Impacts and dependencies, Key take-aways, Next steps
Welcome, Liz Barber - CEO Yorkshire Water, The process of a capitals assessment, Liv Up - Pedro Alexandre Martins, Innovation and Sustainability Sr. Manager, Capital stock, flow and value, (OPTIONAL) ASN Bank testimonial video, Novartis - Sonja Haut, Head of Strategic Measurement and Materiality, (OPTIONAL) METRO AG testimonial video, Liv Up - Pedro Alexandre Martins, Innovation and Sustainability Sr. Manager, Engaging stakeholders in the decision-making process, Planning the process, Interview with Volkert Engelsman, CEO, EOSTA: Tips to get started with your own assessment, Key take-aways, Next steps
Welcome, (OPTIONAL) Video: quick recap on natural capital & ecosystem services, The Natural Capital Protocol, Defining an objective, Scoping a natural capital assessment, Yorkshire Water - Phillip Blaen, Sustainability Manager, Impact and dependency pathways, Defining materiality, Yorkshire Water - Phillip Blaen, Sustainability Manager, Interview with Volkert Engelsman, CEO, EOSTA: Defining materiality and working with stakeholders, Key take-aways, Next steps
Welcome, Gretchen C. Daily, Natural Capital Project, Stanford University, Measure and value, Interview with Volkert Engelsman, CEO, EOSTA: Measuring and valuing the impacts, Holcim - Magali Anderson, Chief Sustainability and Innovation Officer, Holcim - Renata Pollini, Head of Nature, Measuring impact drivers and dependencies, Holcim - Eugenia Ceballos, Head of Sustainable Procurement and Impact Valuation, Valuing impact drivers and dependencies, Interview with Volkert Engelsman, CEO, EOSTA: What did the assessment bring?, Apply, Olam Food Ingredients (OFI) - Ria Bakshi, Lead Finance for Sustainbility, (OPTIONAL) Vattenfall testimonial video, (OPTIONAL) Verstegen testimonial video, Key take-aways, Next steps on your natural capital journey
Course: Forex - Trading Around the World
Modules:
Trading Around the World – Overview, Intro to the FX Market, Pairs & Major Currency Products, FX Rate and Drivers
Intro to FX Stock Trading, Case Study - FX Stock Trades, Trading Forex using TWS FXTrader
Practical Demo: Entering an Overseas Trade, Trading Around the World Conclusion
Course: Learn to Program: Crafting Quality Code
Modules:
Palindrome: Approaching the Problem, Palindrome: Algorithm 1, Palindrome: Algorithm 2, Palindrome: Algorithm 3, The Restaurant Recommendations Problem, Restaurant Recommendations: Representing the Data, Restaurant Recommendations: Planning the Program
Testing Automatically Using doctest, Writing a '__main__' program, Creating Your Own Types, Testing Automatically Using unittest, Choosing Test Cases, Testing Functions that Mutate Values
Analyzing Algorithms, Linear Search, Binary Search, Comparing Search Algorithms, Bubble Sort, Selection Sort, Insertion Sort
Creating a New Type, Plugging Into Python Syntax, Writing Special Method __str__, Writing Classes That Interact
Passing Functions as Arguments, Assigning Parameters Default Values, Dealing with Exceptional Situations
Course: Deploy and Maintain Power BI Assets and Capstone project
Modules:
Course introduction, How data flows through business, Data-driven enterprise, The important role of a data analyst, SQL in enterprise, Connecting to a SQL database, What are dynamic reports?, Creating a dynamic report, Creating a multi-value dynamic report, What-if parameters, Vignette: The world of data, Module summary: Power BI in enterprise
What is a workspace?, Creating a workspace, Assign workspace roles, Creating workspace apps, Monitoring workspace usage, Creating a usage report, Datasets in Power BI Service, Power BI gateways, Configure a dataset refresh, Endorsing datasets, Electric car manufacturing, Development lifecycles, Deployment pipeline, Impact analysis and lineage, Improving performance with caching, Troubleshoot service connectivity, Module summary: Deploying assets
Safely sharing information, Sharing via links, Data sensitivity labels, Leaking of sensitive data, Dataset permissions, Configuring dataset permissions, Sharing outside your organization, What is row-level security?, Configuring static row-level security, Dynamic row-level security with DAX, Subscribing to reports and dashboards, Configuring data alerts, How data alerts prevented trading losses, Module summary: Security and monitoring
Course recap and Capstone introduction, Capstone check-in, Capstone project review, Congratulations
Course: Build and Operate Machine Learning Solutions with Azure
Modules:
Introduction to Modern Data Warehouse Analytics in Azure, Lesson introduction, Azure Machine Learning workspaces, Azure Machine Learning tools and interfaces, Azure Machine Learning experiments, Lesson summary, Lesson Introduction, Lesson summary
Lesson Introduction, Introduction to datastores, Use datastores, Lesson summary, Lesson introduction, Environments in Azure Machine Learning, Introduction to compute targets, Lesson summary
Lesson introduction, Introduction to pipelines, Pass data between pipeline steps, Lesson summary, Lesson Introduction, Troubleshoot service deployment, Lesson summary
Lesson introduction, Lesson Summery, Lesson introduction, Defining a search space, Configuring early termination, Lesson summary
Lesson introduction, Automated machine learning tasks and algorithms, Preprocessing and featurization, Lesson summary, Lesson introduction, Understand differential privacy, Configure data privacy parameters, Lesson Summery, Lesson introduction, Feature importance, Using explainers, Visualizing explanations, Lesson summary
Lesson introduction, Consider model fairness, Analyze model fairness with Fairlearn, Mitigate unfairness with Fairlearn, Lesson summary, Lesson introduction, Enable Application Insights, Lesson summary, Lesson introduction, Creating a data drift monitor, Scheduling alerts, Lesson summary, Congratulations
Course: Motion Planning for Self-Driving Cars
Modules:
Welcome to the Self-Driving Cars Specialization!, Welcome to the Course, Meet the Instructor, Steven Waslander, Meet the Instructor, Jonathan Kelly
Lesson 1: Driving Missions, Scenarios, and Behaviour, Lesson 2: Motion Planning Constraints, Lesson 3: Objective Functions for Autonomous Driving, Lesson 4: Hierarchical Motion Planning
Lesson 1: Occupancy Grids, Lesson 2: Populating Occupancy Grids from LIDAR Scan Data (Part 1), Lesson 2: Populating Occupancy Grids from LIDAR Scan Data (Part 2), Lesson 3: Occupancy Grid Updates for Self-Driving Cars, Lesson 4: High Definition Road Maps
Lesson 1: Creating a Road Network Graph, Lesson 2: Dijkstra's Shortest Path Search, Lesson 3: A* Shortest Path Search
Lesson 1: Motion Prediction, Lesson 2: Map-Aware Motion Prediction, Lesson 3: Time to Collision
Lesson 1: Behaviour Planning, Lesson 2: Handling an Intersection Scenario Without Dynamic Objects, Lesson 3: Handling an Intersection Scenario with Dynamic Objects, Lesson 4: Handling Multiple Scenarios, Lesson 5: Advanced Methods for Behaviour Planning
Lesson 1: Trajectory Propagation, Lesson 2: Collision Checking, Lesson 3: Trajectory Rollout Algorithm, Lesson 4: Dynamic Windowing
Lesson 1: Parametric Curves, Lesson 2: Path Planning Optimization, Lesson 3: Optimization in Python, Lesson 4: Conformal Lattice Planning, Lesson 5: Velocity Profile Generation, Final Project Overview, Final Project Solution [LOCKED], Congratulations for completing the course!, Congratulations on Completing the Specialization!
Course: Envisioning Educational Transformation
Modules:
2.3. A Personal Welcome, 5.2. An Informal Visit with Prof. Peurach
2.2. Systems, Ecologies, and Organizations, 2.3. Defining the "Global Education Ecology", 2.4. Sharpening Our Perspective, 2.6. Connecting to the Global Education Ecology
2.2. Defining "National Education Systems", 2.3. Exploring National Education Systems, 2.4. Defining & Exploring "Alternative Education Systems", 2.5. Defining and Exploring "National Education Ecologies"
2.2. Framing Ambitions for Transforming Education, 2.3. Historical Perspectives, 2.4. Thinking Locally, 2.6. A Conversation with Prof. Lant Pritchett, 2.8. A Conversation with Prof. Amanda Datnow
2.2. Analyzing Systems: A Developmental Framework, 2.3. School Systems, 2.4. Education Systems, 2.5. Learning Systems, 2.6. A Global Agenda, 3.3. A Conversation with Prof. Dennis Kwek, 3.5. A Conversation with Prof. James Spillane
2.2. Historical Perspective, 2.3. Sustainable Development Goal 4, 2.4. The 2022 Transforming Education Summit, 2.6. A Conversation with Dr. Leonardo Garnier, 2.8. A Conversation with Ms. Doris Mwikali
2.2. Leading While Learning, 2.4. A Conversation with Ms. Michelle Li, 2.6. A Conversation with Prof. Vicki Park
1.3. An Informal "Thank You" from Prof. Peurach
Course: Calculus through Data & Modelling: Techniques of Integration
Modules:
Double and Triple Integrals
Double Integrals over Regions
Parametric Equations
Approximate Integration
Course: Influencing, Collaboration and Decision Making
Modules:
Introduction to the Course & Instructor, Establishing Credibility and Building Trust, Practical Applications: Establishing Credibility and Building Trust, Understanding the Art of Persuasion, Practical Applications: Understanding the Art of Persuasion, Techniques for Effective Communication and Active Listening, Practical Applications: Techniques for Effective Communication and Active Listening, Adapting Communication Styles for Different Stakeholders, Practical Applications: Adapting Communication Styles for Different Stakeholders, Fostering a Culture of Trust and Cooperation, Practical Applications: Fostering a Culture of Trust and Cooperation, Strategies for Effective Teamwork and Collaboration, Practical Applications: Strategies for Effective Teamwork and Collaboration, Developing Cross-Functional Relationships and Networks, Practical Applications: Developing Cross-Functional Relationships and Networks, Leveraging Diversity and Inclusion for Enhanced Collaboration, Practical Applications: Leveraging Diversity and Inclusion for Enhanced Collaboration, Importance of Data-Driven Decision-Making, Practical Applications: Importance of Data-Driven Decision-Making, Analytical Thinking and Problem-Solving Skills, Practical Applications: Analytical Thinking and Problem-Solving Skills, Tools and Techniques for Analyzing Complex Information, Practical Applications: Tools and Techniques for Analyzing Complex Information, Evaluating Risks and Considering Multiple Perspectives, Practical Applications: Evaluating Risks and Considering Multiple Perspectives, Understanding the Fundamentals of Negotiation, Practical Applications: Understanding the Fundamentals of Negotiation, Strategies for Successful Negotiations, Practical Applications: Strategies for Successful Negotiations, Managing Conflicts and Resolving Disputes Constructively, Practical Applications: Managing Conflicts and Resolving Disputes Constructively, Developing Win-Win Solutions, Practical Applications: Developing Win-Win Solutions, Importance of Consensus-Based Decision Making, Practical Applications: Importance of Consensus-Based Decision Making, Facilitating Group Decision-Making Processes, Practical Applications: Facilitating Group Decision-Making Processes, Techniques for Generating and Evaluating Options, Practical Applications: Techniques for Generating and Evaluating Options, Overcoming Biases and Reaching Optimal Decisions, Practical Applications: Overcoming Biases and Reaching Optimal Decisions, Building Consensus and Managing Dissent, Practical Applications: Building Consensus and Managing Dissent, Examples Illustrating Successful Consensus-Based Decision-Making, Conclusion
Course: Intermediate PostgreSQL
Modules:
Welcome to Intermediate SQL!, Altering Table Schema, Dates, DISTINCT / GROUP BY, Demonstration: SELECT DISTINCT, Demonstration: GROUP BY, Subqueries, Demonstration: Subqueries, Concurrency and Transactions, Demonstration: Concurrency and Transactions, Stored Procedures, Demonstration: Stored Procedures, Office Hours Hyderabad, India - PyCon, Office Hours: Puebla, Mexico
Demo Reading and Parsing Files, Demonstration: Creating and Loading a Database, Demonstration: Loading and Normalizing CSV Data, Office Hours - Gingerman Raceway, South Haven, Michigan, USA, Office Hours - Haag, Netherlands
Text in Databases, Text Function, Character Sets, Character Sets in Python, Inside Hashes, Bruce Schneier - Cryptography, Hashing, and NIST, Index Choices and Index Techniques, Demonstration: Generating and Scanning Text, Office Hours - New York City, Office Hours, Miami, Florida, USA
Regular Expressions, Using Regular Expressions, Demonstration: Regular Expressions, Demonstration: Flat files, Regex, Email, Course Wrap Up, Office Hours, Mountain View, California, USA
Course: Daten für die Erkundung Vorbereiten
Modules:
Einführung in die Datenerkundung, Hallie: Faszinierende Dateneinblicke, Datenerhebung in unserer Welt, Bestimmen, welche Daten gesammelt werden sollen, Datenformate entdecken, Strukturierte Daten verstehen, Wissen, mit welcher Art von Daten Sie arbeiten, Datentabellenkomponenten, Wide und Long Data kennenlernen
Datenintegrität sicherstellen, Verzerrungen: Von Fragen bis hin zu Schlussfolgerungen, Verzerrte und unverzerrte Daten, Verzerrungen in Daten verstehen, Gute Datenquellen erkennen, Was sind „schlechte“ Daten?, Einführung in die Datenethik, Optionale Auffrischung: Alex: Die Bedeutung der Datenethik, Einführung in den Datenschutz, Andrew: Der ethische Einsatz von Daten, Eigenschaften von Open Data, Andrew: Schritte zur ethischen Datennutzung
Alles über Datenbanken, Datenbankfunktionen, Metadaten untersuchen, Als Fachkraft für Datenanalyse Metadaten verwenden, Metadaten-Management, Megan: Spaß mit Metadaten, Mit mehr Datenquellen arbeiten, Daten aus Tabellenkalkulationen und Datenbanken importieren, Sortieren und filtern, BigQuery einrichten, einschließlich Sandbox und Abrechnungsoptionen, So verwenden Sie BigQuery, BigQuery in Aktion
Vertrauen in Ihre Daten haben, Gut organisiert sein, Alles über die Benennung von Dateien, Sicherheitsfunktionen in Tabellen
Ihre Präsenz als Fachkraft für Datenanalyse aufbauen und pflegen, Warum eine Online-Präsenz wichtig ist, Tipps zur Verbesserung Ihrer Online-Präsenz, Know-how im Bereich des Networkings, Vorteile von Mentoring, Rachel: Mentoren sind der Schlüssel
Glückwunsch! Kurszusammenfassung
Course: Introduction to Machine Learning on AWS
Modules:
Course Introduction, Week 1 Introduction, Amazon Rekognition, Introduction to Exercise 1, Exercise Walkthough, Amazon Textract, Introduction to Exercise 2, Exercise Walkthough, Amazon Comprehend, Introduction to Exercise 3, Exercise Walkthrough
Week 2 Introduction, Amazon Transcribe, Amazon Translate, Introduction to Exercise 4, Exercise Walkthrough, Amazon Lex, Introduction to Exercise 5, Exercise Walkthrough, Amazon SageMaker, Demo: Amazon SageMaker
Course: From Followership to Leadership
Modules:
What's it like to learn?, Did you say Leadership?, The mechanics of beliefs in Leadership, What do I believe about myself
Leader-Follower: a multi-faceted relationship, From Leader(centric) to Follower(centric) perspective, Why do we follow a leader?, ILT & IFT: let's clarify, From followership to authority
Attachment theory & Internal Models of Authority, The Dependent Model, The Counterdependent Model, The Interdependent Model
Course: Reshaping Consumer Search
Modules:
Effects of Digital Disruptors, Digital Marketing Strategy Development, SWOT Analysis in Digital Marketing: A Focused Approach, Successfully Connecting with the Target Market
Marketing Mix, Branding in the Digital Marketplace, Digital Channels, Pricing in the Digital Marketplace
The Role of Promotion in the Digital Marketing Plan, The Role of Process in Digital Transformation, User-generated Content, Physical Evidence in Digital Marketing: Content Creation
Digital Segmentation, Targeting, Positioning (STP), Digital Targeting, Differentiate in the Digital Marketplace, Digital Marketing Trends