dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Calculus for Machine Learning and Data Science
Modules:
Course Introduction, A note on programming experience, Machine Learning Motivation, Motivation to Derivatives - Part I, Derivatives and Tangents, Slopes, maxima and minima, Derivatives and their notation, Some common derivatives - Lines, Some common Derivatives - Quadratics, Some common derivatives - Higher degree polynomials, Some common derivatives - Other power functions, The inverse function and its derivative, Derivative of trigonometric functions, Meaning of the Exponential (e), The derivative of e^x, The derivative of log(x), Existence of the derivative, Properties of the derivative: Multiplication by scalars, Properties of the derivative: The sum rule, Properties of the derivative: The product rule, Properties of the derivative: The chain rule, Introduction to optimization, Optimization of squared loss - The one powerline problem, Optimization of squared loss - The two powerline problem, Optimization of squared loss - The three powerline problem, Optimization of log-loss - Part 1, Optimization of log-loss - Part 2, Week 1 - Conclusion
Introduction to Tangent planes, Partial derivatives - Part 1, Partial derivatives - Part 2, Gradients, Gradients and maxima/minima, Optimization with gradients: An example, Optimization using gradients - Analytical method, Optimization using Gradient Descent in one variable - Part 1, Optimization using Gradient Descent in one variable - Part 2, Optimization using Gradient Descent in one variable - Part 3, Optimization using Gradient Descent in two variables - Part 1, Optimization using Gradient Descent in two variables - Part 2, Optimization using Gradient Descent - Least squares, Optimization using Gradient Descent - Least squares with multiple observations, Week 2 - Conclusion
Regression with a perceptron, Regression with a perceptron - Loss function, Regression with a perceptron - Gradient Descent, Classification with Perceptron, Classification with Perceptron - The sigmoid function, Classification with Perceptron - Gradient Descent, Classification with Perceptron - Calculating the derivatives, Classification with a Neural Network, Classification with a Neural Network - Minimizing log-loss, Gradient Descent and Backpropagation, Newton's Method, Newton's Method: An example, The second derivative, The Hessian, Hessians and concavity, Newton's Method for two variables, Week 3 - Conclusion
Course: Baseball and Americanism
Modules:
Module Introduction, The Civil War, Reconstruction, Indian Wars, Spalding Tour Part 1, Spalding Tour Part 2, Spalding Tour Part 3
Module Introduction, Baseball and the Early American Empire, Baseball and Cuba, Baseball and Latin America, Spanish-American War — Part 1, Spanish-American War — Part 2, The Philippine War, The Banana Wars, World War I — Part 1, World War I — Part 2, World War I — Part 3, World War I — Part 4, End of the War
Module Introduction, The Black Sox and the Changing Ideals of Baseball, The Return to Normalcy, The 1920s Part 2 — Technological Innovation, The 1920s Part 3 — Social Change, The Great Depression — Part 1, The Great Depression — Part 2, The New Deal — Part 1, The New Deal — Part 2
Module Introduction, Baseball and Diplomacy in the Pacific Before WW2, WW2 — Part 1, WW2 — Part 2, WW2 — Part 3, WW2 — Part 4, WW2 — Part 5, WW2 — Part 6, Baseball and the Post-War World, Baseball and Post-War America, Baseball, Race, and the Second Red Scare, Korean War — Part 1, Korean War — Part 2
Course: The Blockchain
Modules:
Vitalik Buterin – Ethereum Co-founder
Round Table Discussion - Blockchain and Digital Currencies, Round Table Discussion - Blockchain as Protocol
Round Table Discussion - Peer-to-Peer Software Systems, Trust, and Integrity
John – ShapeShift C.F.O.
Course: Goldman Sachs 10,000 Women के साथ, मोलभाव के मूल सिद्धांत
Modules:
स्वागतम्, रुचियों और पदों को परिभाषित करना, अपने उद्देश्यों का समर्थन करने के लिए आंकड़ों (डेटा) का उपयोग करना, व्यवधानों को दूर करना, प्रभावी रूप से सुनना, फ़ायदे का स्थानांतरण
Course: Global Impact: Cross-Cultural Management
Modules:
Meet Your Instructor: Tina Girndt-Clougherty, The Impact of the Gies Community, Verbal Communication Across Cultures, Nonverbal Communication Across Cultures, Explicit Versus Implicit Communication, Silence Across Cultures, Seeking Versus Avoiding Confrontation, Cultural Misunderstandings, Cultural Compromise and Reconciliation
Diversity Types, Diversity Costs, Diversity Benefits, Process of Teamwork, Virtual Teams, What norms must the team discuss?
Negotiation Fundamentals, Individualism and Negotiation, Trust-Building and Negotiation, Thinking Styles and Negotiation, Other Negotiation Styles
Module 4 Introduction, Hierarchical and Egalitarian Leadership, Decision Making Across Cultures, Feedback Across Cultures, Persuasion Across Cultures, Time Management Across Cultures, Implicit Theory Model of Leadership, Western Leadership Bias, Learn on Your Terms
Course: Actualización en el manejo del paciente con diabetes mellitus tipo 2
Modules:
Introducción, Importancia de la alimentación en el autocuidado del paciente con diabetes mellitus tipo 2, Importancia del ejercicio y la actividad física en el autocuidado de la diabetes
Fármacos utilizados en el manejo del paciente con diabetes mellitus tipo 2 diferentes a la insulina, Fármacos orales recientes para el control del paciente con diabetes mellitus, Fármacos inyectables para el manejo de la diabetes diferentes a la insulina, Agonistas del receptor de GLP-1 y péptidos relacionados
Marco teórico del uso de la insulina, Esquemas de insulinización, Combinaciones entre insulinas y análogos de GLP-1, Insulinas de acción ultra-rápida
Manejo de las complicaciones crónicas microangiopáticas de la diabetes, Manejo de la dislipidemia en diabetes mellitus, Manejo de la hipertensión en el diabético, Manejo de crisis hiperglucemicas agudas en pacientes con diabetes, Alteración metabólica en pacientes, Manejo del paciente con diabetes mellitus tipo 2 en el contexto de la pandemia
Course: Economics for Capital Markets
Modules:
Course Introduction
Indicators vs. Releases, Economic Events, Types of Economic Events, Important Aspects of Economic Indicators, 3 Classes of Economic Indicators, Get to Know Your Market Animals
A Quick Refresher, Foreign Currency Reserves, Central Banks vs. Sovereign Wealth Funds, Central Bank Actions, What is Monetary Policy, How Policy Rates Affect the Real World, Case Study: Black Wednesday, Case Study: Black Wednesday (continued), The Federal Reserve System, Fed Board of Governors & FOMC, Fed Key Policy Rates, FOMC Statements Tone, FOMC Minutes, European Central Bank & Key Policy Rates, Key Policy Rates Refinitiv, Bank of England & Bank Rate, Bank of Japan, Quantitative Easing & Yield Curve Control, BoJ Monetary Policy & Key Rates, Midway Check-in
Labor Market, Output, Prices & Wages, Consumption, Industrial Sector, Purchasing Managers' Index, Surveys & Housing Sector
How Economic Releases Move Markets, How We Get These Forecasts, How Markets Should React vs. How They React in the Real World, How Market Practitioners Trade Releases, How Market Practitioners Trade Releases (continued), Course Summary
Qualified Assessment
Course: Advanced Data Structures, RSA and Quantum Algorithms
Modules:
Introduction to Public Key Cryptography, Euclid's Algorithm and GCD, Extended Euclid Bezout Coefficients, RSA Cryptography, Quantum Physics Computing Basics
Qubits and Super Positions, Unitary Operators and Reversible Computation, Multi Qubit Quantum States, Multi Qubit Quantum Gates, Quantum Parallelism, No Cloning Theorem, Bells Inequality Power of Entangled States, Grover Search Algorithm
Order Finding and Factoring, Order Finding on a Quantum Computer, Recap: FFT Basics of Complex Numbers and Roots of Unity, Recap: Discrete-Time Fourier Transforms, Recap: FFT Divide and Conquer Algorithm, Quantum Fourier Transform: Part 1, Quantum Fourier Transform: Part 2
Introduction to B-Trees, Structure and Properties of B-Trees, Simple Example, Searching for a Key in a B-Tree, B-Tree Key Insertion Algorithm, B-Tree Key Deletion Algorithm, Tries: Basics, Suffix Tries, Generalized Suffix Tries, Ukkonen's Algorithm - Part 1, Ukkonen's Algorithm - Part 2, Concluding Remarks
Course: Leadership and Team Management
Modules:
Course Introduction, Types of teams, roles, and responsibilities, What makes a team successful?, Motivational techniques, Stages of team formation, Managing team dynamics, Training a team
Impact on stakeholders, Types of benchmarking techniques, Applying benchmarking to goal selection, Role of business measures in Six Sigma, Performance measures
Leadership roles and responsibilities in Six Sigma, Group influences on project deployment, Impact of organizational culture on Six Sigma initiatives, Overcoming barriers to implementing Six Sigma, Managing change effectively
Course wrap-up
Course: Exam Prep: AWS Certified Cloud Practitioner Foundations
Modules:
Welcome to AWS Certified Cloud Practitioner Exam Prep, Benefits of the AWS Cloud, Benefits of the AWS Cloud: Question Walkthrough, Aspects of AWS Cloud Economics, Aspects of AWS Cloud Economics: Question Walkthrough, Cloud Architecture Design Principles, Cloud Architecture Design Principles: Question Walkthrough, Cloud Concepts: Close
AWS Shared Responsibility Model, AWS Shared Responsibility Model: Question Walkthrough, AWS Cloud Security and Compliance Concepts, AWS Cloud Security and Compliance Concepts: Question Walkthrough, AWS Access Management Capabilities, AWS Access Management Capabilities: Question Walkthrough, Resources for Security Support, Resources for Security Support: Question Walkthrough, Security and Compliance:  Close
Methods of Deploying and Operating in the AWS Cloud, Methods of Deploying and Operating in the AWS Cloud: Question Walkthrough, AWS Global Infrastructure, AWS Global Infrastructure: Question Walkthrough, Core AWS Services, AWS Core Services: Question Walkthrough, AWS Technology Support, Technology Support: Question Walkthrough, Technology: Close, Exploring Amazon EC2 Utilization: Lab Introduction, Exploring Amazon EC2: Lab Walkthrough
Pricing Models for AWS, Pricing Models for AWS: Question Walkthrough, Account Structures with AWS Billing and Pricing, Account Structures with AWS Billing and Pricing: Question Walkthrough, Resources Available for Billing Support, Resources Available for Billing Support: Question Walkthrough, Billing and Pricing: Close, Exploring Amazon S3: Lab Introduction, Exploring Amazon S3: Lab Walkthrough, Benchmark Assessment, Certified Cloud Practitioner Exam Prep:  Course Close
Course: Innovation & Entrepreneurship - From Design Thinking to Funding
Modules:
Course introduction, Introduction to Module 1 to 3, Introduction to design thinking, The broad use of design thinking, Frameworks for our thinking, The brain, A design thinker
Introduction to the innovation cycle, Learning styles
The observation phase, Observing in the field, The insight phase, The ideation phase, Ideation techniques, The experiment phase, Final thoughts
Introduction to Module 4 to 6, Introduction, Business model innovation, Business model innovation cases, Why so difficult for incumbents?, Business model disruption
Business model canvas, Business model navigator, Feeehand illustrator
Introduction, Customer discovery process, Case study
Introduction to module 7 to 9, Family, friends and dentists, Crowd funding and angles, Institutional capital
Introduction, Company purpose and addressed problem, Solution and why now
Market size and competition, Product and business model, Team and financials, About investors, Some final thoughts
Course finale
Course: Blockchain, Cryptoassets, and Decentralized Finance
Modules:
Course Introduction, Instructor Introduction, Module 1 Overview, Cryptocurrencies, Protocol Tokens, Non-Fungible Tokens (NFTs), Stablecoins, Securities Tokens, Governance Tokens, Exchange Tokens, Natural Asset Tokens, Central Bank Digital Currencies (CBDCs), Module 1 Recap, Digital Wallets (Optional)
Module 2 Overview, What Are Smart Contracts?, Practitioner Perspective - Rolf Hoefer: Smart Contracts, Smart Contract Phases, Smart vs. Traditional Contracts, Smart Contracts and Law, Practitioner Perspective - Andreas Wallendahl: Smart Contracts, Smart Contract Application Areas, Practitioner Perspective: Rob Carter, Executive VP and CIO, FedEx, Smart Contract Strategies & Best Practices for the Organization, Recap of Module 2
Module 3 Overview, Introduction to Identity and Identifiers, Five Problems With Identifiers, Distributed, Self-sovereign Identity Systems, Practitioner Perspective - Carlos Augier: Identity, Blockchain Identity Applications, Practitioner Perspective - Stephen Tse & Li Jiang: Personal Data, Managing Health Data on a Blockchain, Recap of Identity
Module 4 Overview, Distributed Business Entities, The Story of "The DAO", New Business Models Part 1, New Business Models Part 2, Practitioner Perspective: Soumak Chatterjee, Partner, Deloitte Canada, Practitioner Perspective - Yaniv Neu-Ner: Business Model for Counter, Practitioner Perspective - Oleg Fomenko: Business Model for Sweatcoin, What Are DApps?, Example: bAirbnb, Patents and Blockchain Innovation, Practitioner Perspective - Rolf Hoefer: Intellectual Property, Payments, Attribution, and Licensing, Distributed Ownership, Module 4 Recap, Course Recap
Course: Quality Improvement and Management
Modules:
Introduction to the Course, Meet Your Instructor, Introduction to Quality: Overview, What is Quality? - Overview and Evolution, The Need for Quality in Today's World, Basic Concepts Related to Quality, The Role of Customer in Quality Determination, Principles of Quality Improvement: Overview, Introduction to Quality Improvement: Purpose and Necessity, Creating High-Quality Products/Services, Basic Tools and Techniques for Quality Improvement, Identifying Improvement Requirements through Feedback, Implementing Quality Improvement: Overview, The PDCA Cycle: An Introduction, Detailed Exploration of the PDCA Cycle, Application of PDCA in Real-World Scenarios, Continuous Monitoring and Improvement for Quality Enhancement
Quality Management Basics: Overview, Introduction to Quality Management, Exploring the Benefits of ISO Registration, Understanding the ISO 9000 Series and Sector-Specific Standards, The Requirements of ISO 9001 and Its Implementation, Advanced Quality Management Tools: Overview, Advanced Tools and Techniques for Quality Management, Implementing Quality Management in Various Industries, Case Studies on Successful Quality Management, Challenges in Quality Management and Overcoming Them, Statistical Process Control: Overview, Introduction to SPC and Its Importance, The 7 QC Tools for Quality Control, Real-Life Applications of SPC, Continuous Quality Improvement with SPC
Foundations of Customer Satisfaction: Overview, Who is the Customer? An In-depth Look, Understanding Customer Perception of Quality, The Importance of Feedback in Quality Improvement, Translating Customer Needs into Requirements, Building Customer-Centric Quality Strategies: Overview, Designing Quality with the Customer in Mind, Engaging Customers for Quality Enhancement, Case Studies: Transforming Feedback into Action, Best Practices for Maintaining High Customer Satisfaction, Continuous Improvement for Customer Satisfaction: Overview, Leveraging Customer Feedback for Continuous Improvement, Tools and Techniques for Analyzing Customer Feedback, Developing a Customer-Centric Culture, Future Trends in Customer Satisfaction and Quality Management, Course Closure
Course: Análise de Dados Quantitativos
Modules:
Processo de Análise, Ferramentas de Análise Quantitativa, Variáveis e Tabulação, Distribuição e Frequência, Medidas de Posição, Medidas de Dispersão
Gráficos, Tabulação Cruzada, Praticando Gráficos e Tabulação Cruzada, Modelos Estatísticos, Teste de Hipótese, Poder, Efeito e Significância
Teste T, Praticando Teste T, ANOVA, Praticando ANOVA, Qui-Quadrado, Praticando Qui-Quadrado
Análise de Correlação, Praticando a Correlação, Análise de Regressão, Praticando a Regressão, Análise de Cluster, Praticando Análise de Cluster
Course: Deploying SAP on Google Cloud
Modules:
Course Introduction
Overview, Connect to Google, Network, Security, Deployment and Automation, Integration and Innovation
Overview, Services for SAP Migration, Compute Engine, Storage, SAP Monitoring
Overview, Guidelines for SAP Architectures, Guidelines for Sizing SAP Deployments, Guidelines for Selecting Instance Types for SAP Deployments, Guidelines for Primary Storage in SAP Deployments, Guidelines for Secondary Storage in SAP Deployments
Overview, Introduction to High Availability with SAP Deployments on Google Cloud, Mechanisms for HA at the Infrastructure Level, Mechanisms for HA at the Database Level, Mechanisms for HA at the Application Level
Overview, Disaster Recovery Strategies for SAP Deployments on Google Cloud, Backup and Recovery Strategies for SAP Deployments on Google Cloud
SAP on Bare Metal Solution
Course Summary
Course: CRM, Dados e o Futuro Centrado no Cliente
Modules:
Introdução, O que é CRM?, Criando Vínculo Emocional, Por que Relacionar e Fidelizar Clientes?, Como se Relacionar e Fidelizar Clientes?
Planejamento: Objetivo e Diagnóstico, Planejamento: Estratégia, Tático e Mensuração, Ferramentas: Segmentação CVC, Ferramentas: Segmentação RFV, Cluster e Outras Segmentações
Programas de Fidelidade, Programas de Fidelidade - Recompensas, Programas de Fidelidade - Reconhecimento, Programas de Fidelidade - Relacionamento, Ciclo do CRM e Geração de Lucro
Data Driven, Data Driven Marketing, CRM Orientado a Dados, Tipos de CRM, Métricas e Indicadores, Encerramento
Course: Getting and Cleaning Data
Modules:
Obtaining Data Motivation, Raw and Processed Data, Components of Tidy Data, Downloading Files, Reading Local Files, Reading Excel Files, Reading XML, Reading JSON, The data.table Package
Reading from MySQL, Reading from HDF5, Reading from The Web, Reading From APIs, Reading From Other Sources
Subsetting and Sorting, Summarizing Data, Creating New Variables, Reshaping Data, Managing Data Frames with dplyr - Introduction, Managing Data Frames with dplyr - Basic Tools, Merging Data
Editing Text Variables, Regular Expressions I, Regular Expressions II, Working with Dates, Data Resources
Course: قياس حملات التسويق عبر وسائل التواصل الاجتماعي وتعزيزها
Modules:
مقدمة إلى شهادة محترف التسويق عبر وسائل التواصل الاجتماعي على فيسبوك, مقدمة الدورة التدريبية قياس حملات التسويق عبر وسائل التواصل الاجتماعي وتعزيزها, مقدمة لأنكي أودينيرت, وظائف في التسويق الرقمي, نظرة عامة على اختبار تقييم نتائجك التسويقية مقابل الأهداف, مواءمة المقاييس مع الأهداف التسويقية الشائعة, البيانات والتقارير لتقييم الأداء, قياس نتائج التسويق, فهم التكلفة لكل نتيجة, فهم القيمة الدائمة للعميل, مثال على عائد الإنفاق الإعلاني وعائد الاستثمار, مثال على التكلفة لكل نتيجة, مثال على القيمة الدائمة للعميل, خاتمة تقييم نتائجك التسويقية مقابل الأهداف
نظرة عامة على قياس فاعلية إعلانك, ما التجارب؟, استخدام التجارب لقياس فعالية الإعلان, قياس فعالية الإعلان على فيسبوك, إنشاء اختبار استبيان العلامة التجارية أو اختبار مجموعة مستبعدة, تفسير نتائج استبيانات العلامة التجارية واختبارات المجموعات المستبعدة, خاتمة قياس فاعلية إعلانك
التحسين ضمن حملة بممارسة اختبار A/B, إعداد اختبار A/B, تفسير نتائج اختبار A/B, القياس عبر القنوات بنماذج مزيج الوسائط, القياس عبر القنوات بالتخصيص, التحديات عند القياس عبر القنوات, خاتمة تعزيز حملاتك الإعلانية
تقديم نتائج حملتك, تقديم نتائج حملتك (مطبقة), سرد قصة واضحة مزودة بالبيانات, التواصل في أثناء العرض التقديمي, مثال: MFreshFlowers, خاتمة اختبار توصيل نتائج تسويقك, تهانينا!
Course: Semiconductor Packaging Manufacturing
Modules:
Welcome Video
Introduction to Semiconductor Package Manufacturing 1 Lecture Video
Lecture Video: Introduction to Semiconductor Package Manufacturing 2
Assembly Part 1 Lecture
Assembly 2 Lecture
Test and Finish Lecture
Process Control Systems (PCS) Lecture
End of Course Summary
Course: Management Foundations in the Hospitality Industry
Modules:
Welcome to Management Foundations in the Hospitality Industry, HR, Job Analysis, and Design Introduction
Planning & Recruiting Introduction, Planning & Recruiting Audio Lecture, Talent Selection Introduction, Talent Selection Audio Lecture
Orientation, Socialization, and Culture Introduction, Orientation, Socialization, and Culture Audio Lecture
Training and Development Introduction, Training and Development Audio Lecture
Course: Trustworthy AI for Healthcare Management
Modules:
Introduction and Course Overview
What is Artificial Intelligence, Applications of Artificial Intelligence in Healthcare, Challenges for Artificial Intelligence in Healthcare, Explainable Artificial Intelligence
Ethical Principles of Trustworthy Artificial Intelligence, Realizing Trustworthy Artificial Intelligence, Assessing Trustworthy Artificial Intelligence
Detecting Cardiac Arrest Symptoms in Emergency Calls, Classifying Skin Lesions, Assessing Lung Damage from Chest X-Rays
Recap and Practical Recommendations for Trustworthy Artificial Intelligence in Healthcare
Course: Corporate Finance Essentials II
Modules:
Professor's Biography, Introduction, Risk and return, Correlation and Diversification, The CAPM and the Cost of Capital, Estimating the Cost of Capital, Project Evaluation, Corporate Value Creation, A Look Ahead to Corporate Finance Essentials II
Market Efficiency, Factors determining Market Efficiency, A Myth, Levels of Efficiency, Fundamental and Technical Analysis, Four Important Points, Beating the Market, Investing, The bottom Line
Bonds. Introduction, Bond Issuers and Bond Types, A Simple Example, Valuation, Valuation. Case Study, The Yield to Maturity, The Yield to Maturity. Case Study, Risk. Default Risk, Risk. Other sources of bond risk, The Bottom Line
The Basics, Multiples. Two critical issues, Multiples. The P/E Ratio, Multiples. Benchmarks, Multiples. The Critical Question, Multiples. The PEG Ratio, Case Study. Part 1, Case Study. Part 2, The Bottom Line
Capital Structure. The Basics, Debt Ratios and Required Returns, Case Study, Reflections, Two Final Points, The Bottom Line
Dividend Policy. The Basics, Relevant variables. Environment, Relevant variables. Clienteles and Growth, Relevant variables. Smoothing, Relevant variables. Signals and Taxes, Share Buybacks, The Bottom Line, Corporate Finance Essentials II: Wrap Up
Course: Seluk Beluk Jaringan Komputer
Modules:
Pengantar Kursus, Model Jaringan Lima Lapisan TCP/IP, Alex: Pentingnya Jaringan, Kabel, Hub dan Switch, Router, Server dan Klien, Sergio: Peran Network Engineer, Transmisi Bit Melalui Kabel, Kabel Twisted Pair dan Dupleks, Port Jaringan dan Patch Panel, Ethernet dan Alamat MAC, Unicast, Multicast, dan Broadcast, Menganalisis Frame Ethernet, Victor: Pengalaman Praktis di Bidang IT
Pengantar Lapisan Jaringan, Lapisan Jaringan, Alamat IPv4, Datagram dan Enkapsulasi IPv4, Kelas Alamat IPv4, Address Resolution Protocol, Sergio: Jalur Karier Saya, Subnetting, Subnet Mask, Dasar-Dasar Penghitungan Biner, CIDR, Tetap Termotivasi Mengikuti Program, Konsep Dasar Pemilihan Rute, Tabel Pemilihan Rute, Interior Gateway Protocol, Exterior Gateway, Sistem Otonom, dan IANA, Non-Routable Address Space, Alex: Kisah Keberhasilan Saya
Pengantar Lapisan Transpor dan Lapisan Aplikasi, Lapisan Transpor, Menganalisis Segmen TCP, Flag Kontrol TCP dan Three-way Handshake, Status Soket TCP, Protokol Connection-Oriented dan Connectionless, Firewall, Lapisan Aplikasi, Lapisan Aplikasi dan Model OSI, Cara Semua Lapisan Berfungsi Bersama-sama, Kisah Peserta: Daniel
Pengantar Layanan Jaringan, Mengapa Kita Perlu DNS?, Tahapan Resolusi Nama, DNS dan UDP, Sergio: Perjalanan ke bidang IT, Jenis Data Resource, Anatomi Nama Domain, Zona DNS, Ringkasan DHCP, Cara Kerja DHCP, Dasar-Dasar NAT, NAT dan Lapisan Transpor, Virtual Private Network, Layanan Proxy
Pengantar Cara Terkoneksi ke Internet, Dial-up dan Modem, Apa itu Broadband?, Teknologi T-Carrier, Digital Subscriber Lines (DSL), Broadband Kabel, Koneksi Fiber, Teknologi WAN (Wide Area Network), VPN Point-To-Point, Pengantar Teknologi Jaringan Nirkabel, Konfigurasi Jaringan Nirkabel, Saluran Nirkabel, Keamanan Nirkabel, Jaringan Seluler, Jaringan Perangkat Seluler
Pengantar Pemecahan Masalah dan Masa Depan Jaringan, Ping: Internet Control Message Protocol, Traceroute, Menguji Konektivitas Port, Інструменти для перетворення імен, Server DNS Publik, Pendaftaran dan Akhir Masa Berlaku DNS, File Host, Apa itu Cloud?, Everything as a Service, Penyimpanan Cloud, Pengalamatan dan Subnetting IPv6, Header IPv6, Keselarasan IPv6 and IPv4, Simulasi Wawancara: Jaringan, Penutup Kursus, Alex: Jalur karier saya, Selamat!
Course: Recent Advances in Freeform Electronics
Modules:
Introduction Video, 1.1 Electrical Resistance, 1.2 p-n junction, 1.3 MOSFET (Metal Oxide Semiconductor Field-Effect Transistor), 1.4 SOI (Silicon-on-Insulator) Wafers
2.1 Foldable Substrates, 2.2 Stretchable Interconnects, 2.3 High-Resolution 3D Printing, 2.4 3D Printing of Liquid Metal
3.1 Conventional Stretchable Electrodes, 3.2 Alternative Electrodes_1, 3.3 Alternative Electrodes_2, 3.4 Alternative Electrodes_3, 3.5 Alternative Electrodes_4
4.1 Monolithic Graphite-Graphene FETs, 4.2 Hybrid Materials-based FET Sensors, 4.3 Smart Contact Lens, 4.4 Pressure & Alcohol Sensors, 4.5 Transparent Finger Sensors
5.1 Introduction of Printing Technology, 5.2 Fundamental of E-jet Printing, 5.3 High-Resolution E-jet Printing, 5.4 E-jet Printing for Electronics, 5.5 Charged Liquid Printing using E-jet, 5.6 E-jet Printing : Application for Biotechnology
6.1 Cellulose Research Motivation, 6.2 Cellulose Hybrid Film, 6.3 Cellulose Hybrid Film: Applications, 6.4 Cellulose Hybrid Film: High Performance Device, 6.5 Metal Nanofibers based Device
Course: Mathematics and Democracy Teach Out
Modules:
Overview, Overview, What is Mathematics?, What is Democracy?, Two Candidate Elections: Methods & Properties, May's Theorem
Three or More Candidates Introduction, Three or More Candidates Many Decision Functions, More Methods: Runoffs, Properties, Independence of Irrelevent Alternatives, Arrow's Theorem, Single Transferrable Voting
Interlude: Preference, A Game of Dice, Comparing Three Dice
Representative Democracy, Hamilton's Method, Paradoxes for Hamilton's Method, Jefferson's Method, Impossibility, Legislative Districts, Final Remarks
Course: Thermodynamique : applications
Modules:
La thermodynamique de quoi s'agit-il?, Introduction au MOOC collaboratif, Coefficients calorimétriques, Coefficients calorimétriques du gaz parfait, Applications, Expériences : calorimétrie
Critères de stabilité, Transitions de phase de 1er ordre, Transitions liquide-vapeur, Expériences : transitions de phase
Avancement de réaction, Premier principe et réactions chimiques, Enthalpie de formation, Valence, Loi d'action de masse, Expériences: chimie
Tension de cellule ouverte vs énergie libre, Batteries à ions de lithium, batterie au plomb, Cellule à hydrogène, Expériences: électrochimie
Concept de fluide en thermodynamique, Diagramme de Clapeyron et diagramme entropique, Introduction aux machines thermiques, Diagrammes de Mollier, Expériences: cycles thermodynamiques des fluides
Cycles thermodynamiques, Moteurs à combustion interne, Cycles de turbines à gaz, Cycles de pompes thermique, Expériences: machines thermiques
Transfert conductif en régime stationnaire, Transfert conductif en régime stationnaire: Application, Transfert conductif en régime non stationnaire, Transfert conductif en régime non stationnaire: Application, Expériences : transferts thermiques, Rayonnement thermique, Rayonnement thermique: Application
Introduction à la thermodynamique des milieux continus, Equation de continuité, Bilan énergétique
Relations phénoménologiques, Diffusion thermique et chimique, Effets thermo-électriques
Course: Introduction to Decision Science for Marketing
Modules:
Course Introduction, Meet Your Instructor, Easy Access to Big Data and Analytics, Decision Science for Marketing: An Easy Guide—Part I, Decision Science for Marketing: An Easy Guide—Part II, Decision Science for Marketing: An Easy Guide—Part III
Customer Data, Analyzing Customers Data, Customer Lifetime Value, Managing Your Customers
Graded Quiz: Introduction to Decision Science for Marketing and Building Customer Profiles to Optimize Enterprise Value
Customer Retention, Reactivation, and Acquisition, Predict the Customer Journey for Life Cycle Marketing, Life Cycle Marketing Strategies
Value-Based Marketing, Predict Likelihood to Buy, Predict Likelihood to Engage
Make Effective Recommendations, Contextualizing the Customer Experience
Graded Quiz: Life Cycle Marketing: Predicting the Customer Journey, Customer Value, and Their Likelihood to Buy/Engage
Customer Value Journey, Remarketing Campaigns, Using Look-Alike Targeting
Growing the Value of Your Customers, Programs to Predict Post-Purchase Behavior, Campaigns for Customer Appreciation
Not All Churns Are Equal, Churn Management
Graded Quiz: Predict Customer Personas and Convert More Customers, Grow Customer Value, and Retention of Customers
How to Optimize Marketing Spending Using Customer Data, Capabilities Organizations Need to Possess
Predictive Marketing Technology Overview, Other Tools You Might Be Aware Of, Get Started
Career for Future Predictive Marketers, Security and Privacy Concerns with Customer Data, Marketing Engineering Requires Life-Long Learning
Course Wrap-Up Video
Course: International Law In Action: Investigating and Prosecuting International Crimes
Modules:
Trailer & course introduction, How to succeed in your online class?
Introduction, An Introduction to International Crimes, Core Crimes - Genocide, The Core Crimes - Crimes Against Humanity, Core Crimes - War Crimes, Individual Criminal Responsibility, Modes of Liability, Illustrating the Lubanga Case
Introduction (Effectiveness, Fairness and Conceptions of Justice), An Introduction to Justice  Institutions, An Introduction to the Main Actors, Hard Choices, How Cases Emerge, An Introduction to the Justice Process, Interview with Chief Prosecutor of the ICTY: Serge Brammertz
The Trial, The Role of the Judge, Defending Suspects and Accused (Part I), Defending Suspects and Accused (Part II), The Role of Victims, The Child Soldier Dilemma, Interview with Defense Counsel: Karim Khan QC
Judgment (Part I), Judgment (Part II), Punishment, Repairing Harm, Enhancing Effectiveness, Interview with ICC president: Silvia Fernández de Gurmendi, Concluding Video
Course: Using Databases with Python
Modules:
Welcome to Using Databases with Python, Unicode Characters and Strings, Windows 10: Installing Python and Writing A Program, Windows: Taking Screen Shots, Macintosh: Using Python and Writing A Program, Macintosh: Taking Screen Shots, 14.1 - Object Oriented Definitions and Terminology, 14.2 - Our First Class and Object, 14.3 - Object Life Cycle, 14.4 - Object Inheritance, Bonus: Interview - Software Engineering - Bertrand Meyer, Bonus: Office Hours - London
15.1 Relational Databases, 15.2 - Using Databases, 15.3 - Single Table CRUD, Worked Example: Counting Email in a Database, Bonus: Office Hours Zagreb, Croatia, Interview: Elizabeth Fong - The Early Years of SQL
15.4 - Designing a Data Model, 15.5 - Representing a Data Model in Tables, 15.6 - Inserting Relational Data, 15.7 - Reconstructing Data with JOIN, Worked Example: Tracks.py (Chapter 15), Bonus: Office Hours Perth, Australia, Bonus Interview: Niklaus Wirth, Bonus: Office Hours Barcelona
15.8 - Many-to-Many Relationships, Worked Example: roster.py (Chapter 15), Bonus: Office Hours Mexico, City, Bonus Interview: Andrew Tannenbaum - Minix
16.1 - Geocoding, Worked Example: Geodata (Chapter 16), Bonus: Office Hours - Amsterdam, Bonus Interview: Richard Stallman - Free Software Foundation, Bonus Interview: Brian Behlendorf - Apache Foundation
Course: Data Science Ethics
Modules:
Data Science Ethics - Course Preview, What are Ethics?, Data Science Needs Ethics, Case Study: Spam (not the meat)
Human Subjects Research and Informed Consent: Part 1, Human Subjects Research and Informed Consent: Part 2, Limitations of Informed Consent, Case Study: It's Not OKCupid
Data Ownership, Limits on Recording and Use, Data Ownership Finale, Case Study: Rate My Professor, Case Study: Privacy After Bankruptcy
Privacy, History of Privacy, Degrees of Privacy, Modern Privacy Risks, Case Study: Targeted Ads, Case Study: The Naked Mile, Case Study: Sneaky Mobile Apps
Anonymity, De-identification Has Limited Value: Part 1, De-identification Has Limited Value: Part 2, Case Study: Credit Card Statements
Validity, Choice of Attributes and Measures, Errors in Data Processing, Errors in Model Design, Managing Change, Case Study: Three Blind Mice, Case Study: Algorithms and Race, Case Study: Algorithms in the Office, Case Study: GermanWings Crash, Case Study: Google Flu
Algorithmic Fairness, Correct But Misleading Results, P Hacking, Case Study: High Throughput Biology, Case Study: Geopricing, Case Study: Your Safety Is My Lost Income
Societal Impact, Ossification, Surveillance, Case Study: Social Credit Scores, Case Study: Predictive Policing
Code of Ethics, Wrap Up, Case Study: Algorithms and Facial Recognition
Week 1 Attributions, Week 2 Attributions, Week 3 Attributions, Week 4 Attributions, Keep Learning with Michigan Online
Course: Fundamentals of Machine Learning in Finance
Modules:
What is Machine Learning in Finance?, Introduction to Fundamentals of Machine Learning in Finance, Support Vector Machines, Part 1, Support Vector Machines, Part 2, SVM. The Kernel Trick, Example: SVM for Prediction of Credit Spreads, Tree Methods. CART Trees, Tree Methods: Random Forests, Tree Methods: Boosting
Core Concepts of UL, PCA for Stock Returns, Part 1, PCA for Stock Returns, Part 2, Dimension Reduction with PCA, Dimension Reduction with tSNE, Dimension Reduction with Autoencoders
UL. Clustering Algorithms, UL. K-clustering, UL. K-means Neural Algorithm, UL. Hierarchical Clustering Algorithms, UL.  Clustering and Estimation of Equity Correlation Matrix, UL. Minimum Spanning Trees, Kruskal Algorithm, UL. Probabilistic Clustering
SM. Latent Variables, Sequence Modeling, SM. Latent Variables for Sequences, SM. State-Space Models, SM. Hidden Markov Models, Neural Architecture for Sequential Data, RL. Introduction, RL. Core Ideas, Markov Decision Process and RL, RL. Bellman Equation, RL and Inverse Reinforcement Learning
Course: Financial Statement and Ratio Analysis for Accountants
Modules:
Learn on Your Terms, Instructor Introduction- Brian Hamm, Instructor Introduction- Nerissa Brown, Course Overview- Financial Statements, SEC Filings and Ratio Analysis & Beyond the Financials: Insights, Analysis and Valuations, Learning Objectives and Investing Basics
Financial Statements Overview, Income Statement, Statement of Cash Flows, Statement of Comprehensive Income, Balance Sheet, Statement of Shareholders' Equity, Financial Statements Working Together, Why a Statement of Cash Flows?
Difference Between Book Value and Market Value of Equity (Introduction), Historical Cost vs Fair Value, Matching / Timing, Some Items Not Measured, Mispricing, Difference Between Book Value and Market Value of Equity (Recap)
Introduction to SEC Filings, Annual Filings, Current Filings, Navigating a Company's Investor Relations Page, Navigating EDGAR, Navigating the 10K, Navigating the Proxy, SEC Comment Letters, Searching for SEC Comment Letters
Introduction to Ratio Analysis, Productivity Ratios, Productivity Ratios Calculation Examples, Cash Conversion Cycle, Cash Conversion Cycle Calculation Examples, Liquidity and Solvency Ratios, Liquidity Calculation Examples, Solvency Ratios Calculation Examples, Coverage Ratios, Coverage Ratios Calculation Examples
Introduction to Vertical Financial Statement Analysis, Management's Application of Vertical Financial Statement Analysis, Introduction to Horizontal Financial Statement Analysis, Management's Application of Horizontal Financial Statement Analysis, Combining Vertical and Horizontal Financial Statement Analysis (Benchmarking)
Introduction to Return Ratios, Return on Assets, Return on Assets Disaggregated, Return on Common Equity, Disaggregating Return on Common Equity, Return on Invested Capital
Total Shareholder Return, Dividend Yield, Share Buybacks
Accounting Quality Introduction, What Is "Earnings Quality?", How Does Accounting Quality Affect Our Ability to Forecast Future Earnings?, What Is An Accounting Quality Analysis?, How Are Manipulations of Earnings Detected?
Course: Ejecución del proyecto: Ejecutar el proyecto
Modules:
Introducción al curso 4, La importancia del seguimiento, Elementos comunes para hacer un seguimiento, Diferentes métodos de seguimiento, Belinda: seguimiento y gestión de un presupuesto, Pranjal: Gestionar varios seguimientos, Por qué ocurren los riesgos y los cambios, Identificación y seguimiento de las dependencias, Técnicas para ayudar a gestionar los riesgos, Priorizar problemas, Comunicar cambios al equipo, Cierre
Introducción: Gestión de calidad y mejora continua, Conceptos clave de la gestión de calidad, Fomentar las relaciones con los clientes mediante habilidades comunicativas, Medir la satisfacción del cliente, Garantizar accesibilidad durante la recepción de comentarios, Sue: la importancia de comprender las necesidades del cliente, Mejora continua y mejora de procesos, Frameworks de mejora basados en datos, Diferenciar proyectos de programas, Jacob: desarrolla una mentalidad que busque la mejora continua, El propósito de una retrospectiva, Realizar una retrospectiva, Gernot: usar la retrospectiva para corregir el rumbo del proyecto, Cierre
Introducción: Toma de decisiones basada en datos, El valor de los datos, Tipos comunes de datos de proyectos, Determinar qué datos son importantes, Usar análisis de datos para tomar decisiones fundadas, Presentar datos para contar la historia de un proyecto, Herramientas de visualización de datos, Técnicas de presentación efectivas, Crea presentaciones accesibles, Cierre
Introducción: Habilidades de liderazgo e influencia, La necesidad del trabajo en equipo del proyecto, Los factores que afectan la eficacia del equipo, Liderar equipos de alto funcionamiento, Emilio: Aprender a liderar, Desarrollo del equipo y gestión de la dinámica del equipo, Rowena: Delegar los detalles, Liderazgo ético e inclusivo, Pasos para influir de forma eficaz, Usar fuentes de poder para influir, Chris: Influir en otros al demostrar el impacto del proyecto, Cierre
Introducción: Comunicación eficaz del proyecto, Comunicar de diferentes maneras, Herramientas de comunicación comunes, Cómo organizar reuniones eficaces, Tipos comunes de reuniones de proyectos, Cierre
Introducción: Cerrar un proyecto, La importancia del cierre de un proyecto, El proceso de cierre para clientes e interesados, El proceso de cierre para el equipo, Sarah: Por qué me encantan las retrospectivas, El proceso de cierre para el gerente de proyectos, Resumen del curso
Course: Competitive Strategy
Modules:
Instructor Introduction, Introduction to the Course, Module 1 Introduction, What is Competitive Strategy? (Part 1), What is Competitive Strategy? (Part 2), Analysis of Macro-Environmental Factors, Analysis of Industry Forces
Module 2 Introduction, What is Competitive Advantage, Sustainable Competitive Advantage, Analyzing The Value Chain
Module 3 Introduction, Types of Competitive Strategies, Link to Competitive Advantage, Choosing a Competitive Strategy
Summative Course Assessment
Course: Cybercrime
Modules:
Introduction to the course, Introduction to cybercrime, Defining cybercrime, Why is combating cybercrime challenging?
Types of cybercrime threats, How to measure and study cybercrime
The importance of human aspects in cybercrime, Attackers,  victims, and law enforcement – different perspectives
Introduction to social engineering, Psychological principles of social engineering, The art and science of influencing people, A reverse social engineering scenario
Course: Aprender
Modules:
Bienvenida, Tema 1. Aprendizaje: qué es, cómo se da, Tema 2. Inteligencia, Tema 3 (primera parte). Arquitectura del pensamiento: memorias, Tema 3 (segunda parte). Arquitectura del pensamiento: memorias, Tema 4. Atención, Tema 5. Motivación y emoción, Tema 6. Modificabilidad cognitiva, Tema 7. ¿Todo bien?
Tema 1. Lectura literal, inferencial y crítica, Tema 2. Elementos: decodificación, fluidez, vocabulario y comprensión, Tema 3. Velocidad y fluidez lectoras, Tema 4. Estrategias para leer más rápido, Tema 5. Vocabulario y comprensión, Tema 6. Estrategias para potenciar la comprensión, Tema 7. ¿Comprendí todo?
Tema 1. Cómo pensamos cuándo pensamos, Tema 2. ¿Cómo me autoregulo y cómo le voy a hacer?, Tema 3. ¿Estoy siguiendo el plan? Monitoreo metacognitivo, Tema 4. ¿Llegué a la meta? Revisión metacognitiva, Tema 5. Atención selectiva, Tema 6. Los enemigos de la atención selectiva, Tema 7. Multitasking, Tema 8. ¿Sé que lo aprendí todo?
Tema 1. Trucos para memorizar, Tema 2. Fracasar y establecer relaciones, Tema 3. Crear historias, Tema 4. Explicar, Tema 5. Subir un escalón, Tema 6. Ser aprendices eficientes, Tema 7. Cuestionamientos a la mentalidad del crecimiento, Tema 8. ¡Mil gracias!
Course: Proyecto Final - Programa Especializado en Marketing Digital
Modules:
Universidad Austral, ¡Bienvenidos! - Inicio del Proyecto Final -, ¿De qué hablamos cuando hablamos de Marketing Digital?, Plan de Marketing Digital., Relacionándose con los clientes., La evolución de los medios: transmedia, nuevos medios y nuevas audiencias
Semana 2 - Redes Sociales -, FACEBOOK: Engagement en Facebook., TWITTER: Estrategia de contenidos., INSTAGRAM: Estrategia de contenidos., LINKEDIN: Estrategia de contenidos.
Semana 3 - Google Adwords-, Redes de Adwords: Red de Búsqueda y Red de Display., ¿Cómo lograr un buen nivel de calidad?, Segmentaciones y Palabras Clave de la red de Búsqueda., Anuncios de la Red de Búsqueda de Google., Extensiones de anuncio., Segmentaciones de Display: Visión General, Anuncios de la Red de Display, Introducción. Conceptos básicos sobre optimización de campañas en Google Adwords.
Semana 4 - Compra Programática -, Los 3 tipos de data., Modelos de Pricing., ¡Felicitaciones! Reflexiones Finales
Course: Competencias Laborales: Perfiles, Evaluación y Capacitación.
Modules:
¿Qué son las competencias Laborales?
¿Cómo identificar  Competencias laborales?
¿Cómo elaborar mapas funcionales aplicados a puestos laborales?
Elaboración de un Mapa Funcional de una Secretaria
¿Qué son los perfiles de cargo?
¿Qué es la evaluación de Competencias Laborales?
La evaluación 360°
Recomendaciones para la elaboración/selección de instrumentos de evaluación
¿Qué son los cursos de capacitación laboral orientados a competencias laborales?
¿Cómo definir objetivos/resultados de aprendizaje?, Contenidos y Actividades de aprendizaje
Course: Implementing Supply Chain Analytics
Modules:
Welcome to supply chain data analyst professional certificate, Welcome to implementing supply chain analytics: Descriptive, diagnostic, predictive and prescriptive, Programming languages, Introduction to Python and SQL, The difference between Python and SQL, When to use SQL, Use basic commands to query data for summarization, Filter out "noise" from available information, Build and standardize a structure for future usage, Optimize search from queries, Test query against sources, When to use Python, Use Python to collect and import data, Use Python to prepare and format data, Use Python to build and evaluate data models, How Python and SQL work together
Welcome to data analytics that drive impactful decision making, Four levels of data analytics, How the four levels of data analytics help drive expected outcomes, Identify the best way to communicate analytics, Descriptive anaytics, Conducting descriptive analytics, Visualizing descriptive analytics, How to identify the root cause, Visualizing diagnostic analytics, Applying predictive algorithms in Python, Applying predictive business rules in Python, Applying predictive algorithims with business rules in Python, Applying prescriptive algorithms to Python, Applying prescriptive business rules in Python, Applying prescriptive algorithms with business rules in Python
Welcome to supply chain models: Inventory, Continuous Flow, Fast Chain, Introduction to the Inventory Model, Inventory theory, Most common inventory models, Introduction to Continuous Flow Model, Continuous flow model fundamentals, Continuous flow model applications, Introduction to Fast Chain Model, Fast Chain Model fundamentals, Fast Chain Model applications, Trends and demand
Welcome to Supply Chain Models: Efficient Chain, Agile, Custom-Configured, Flexible, Introduction to the Efficient Chain Model, Manufacturing principles, Introduction to the Agile Model, Introduction to the custom-configured model, Custom-configured model fundamentals, Introduction to the Flexible Model
Course: Developing Data Products
Modules:
Welcome to Developing Data Products
Shiny 1.1, Shiny 1.2, Shiny 1.3, Shiny 1.4, Shiny 1.5, Shiny 2.1, Shiny 2.2, Shiny 2.3, Shiny 2.4, Shiny 2.5, Shiny 2.6, Shiny Gadgets 1.1, Shiny Gadgets 1.2, Shiny Gadgets 1.3, GoogleVis 1.1, GoogleVis 1.2, Plotly 1.1, Plotly 1.2, Plotly 1.3, Plotly 1.4, Plotly 1.5, Plotly 1.6, Plotly 1.7, Plotly 1.8
R Markdown 1.1, R Markdown 1.2, R Markdown 1.3, R Markdown 1.4, R Markdown 1.5, R Markdown 1.6, Leaflet 1.1, Leaflet 1.2, Leaflet 1.3, Leaflet 1.4, Leaflet 1.5, Leaflet 1.6
R Packages (Part 1), R Packages (Part 2), Building R Packages Demo, R Classes and Methods (Part 1), R Classes and Methods (Part 2)
Swirl 1.1, Swirl 1.2, Swirl 1.3
Course: Extract, Transform, and Load Data
Modules:
Course Intro: Extract, Transform, and Load Data, Structure of Data, Terms Describing Portions of Data, Big Data, Data Sources, Public APIs and Web Scraping, Data Read from Cloud Storage, Extract, Transform, and Load (ETL), CSV Files, SQL Queries, NoSQL Queries, Data Consolidation and Joins
Data Preparation and Cleaning, Types of Data and Data Operations, Continuous vs. Discrete Variables, Data Parsing, Data Irregularities, Correction of Data Formats and Date Conversion, Deduplication, Word Embedding, Image Data Representation
Data Loading Considerations, Data Loading: Databases, Data Loading: DataFrames, Data Loading: Text Files, ETL Endpoints, Data Loading: Visualization Tools
Online Retailer: Extracting, Transforming, and Loading Data
Course: Market Research and Analysis for Tech Industries
Modules:
Marketing: What, Who, Where, How and Why?, Infiniti Cars — How Bad Marketing can Ruin Great Engineering, Marketing  is NOT Advertising, Why Use an Actual Company?
Technology Adoption Lifecycle, NEST Thermostat, Rogers Model of Tech Diffusion Part A, Rogers Model of Tech Diffusion Part B, Pick a Client Company
Analyzing Consumer Behavior, High/Low Involvement Purchasing Processes, Maslow’s Hierarchy, Decision-Making Units and Processes
Analyzing Buyer Behavior, Compare and Contrast Business and Consumer Markets, Employing Behavioral Economics, Personas Keep It Real
Defining Market Research, Uses of Primary Market Research, Design a Survey, Application of Secondary Market Research, Research on a $0 Budget
The Nature of Marketing Data, Data Analysis and Visualizations, How to Segment a Market, Employing Conjoint Analysis, Social Responsibility
Course: Be a Leader, Develop a Leader
Modules:
Welcome!
Read: Assignment #2 Details: Develop a Leader: Coaching
Read: 	Assignment #3 Details: Women in Leadership: Two Success Stories
Congratulations!
Course: Kubernetes for the Absolute Beginners with Hands-on Labs
Modules:
Introduction, The Kubernetes Trilogy
Containers Overview, Container Orchestration, Kubernetes Architecture, Docker vs ContainerD
PODs, Demo - Minikube-Setup, Demo - PODs
Introduction to YAML
PODs with YAML, Demo - PODs with YAML, Demo - YAML - Tips, Lab Solution, Replication Controllers and ReplicaSets, Demo - ReplicaSets, Lab Solution, Deployments, Demo: Deployments, Lab Solution, Deployments - Update and Rollback, Demo - Deployments - Update and Rollback, Lab Solution
Basics of Networking in Kubernetes
Services - NodePort, Demo - Services, Services - ClusterIP, Services - Load balancer
Microservices Architecture, Deploying voting app on Kubernetes, Demo - Deploying voting app on Kubernetes, Demo - Deploying voting app on Kubernetes with Deployments
Section Introduction, Kubernetes on GCP (GKE), Kubernetes on AWS (EKS), Kubernetes on Azure (AKS)
Conclusion, Appendix: Kubernetes Setup - Kubeadm, Appendix: Demo - Kubeadm - Part 1 - Setup Virtual Machines and Pre-requisites, Appendix: Demo - Kubeadm - Part 2 - Configure Cluster with kubeadm, Appendix: Kubernetes Setup - Introduction and Minikube