dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Fundamentals of Data Visualization
Modules:
Course Overview, Why Visualization?, A Grammar of Graphics, Introduction to Altair, Hands on with Altair - Part 1, Hands on with Altair - Part 2, Mapping Basics, Mapping Tips, Color, Rules of Thumb, Introduction to Interaction, Interactions Part 1, Interactions Part 2
Visualization Tasks, Task Elicitation, Basic Design Methods, Design Studies, Perception Overview, Preattention, Attention & Search, Uncertainty, Ethical Questions
Module Overview, Evaluation Overview, Defining Insight, Qualitative Evaluation, Experimental Evaluation Part 1, Experimental Evaluation Part 2, Evaluation Trade-Offs
Course: Software Architecture
Modules:
3.1.1 – Architecture Overview and Process, 3.1.2 – Kruchten's 4 + 1 Model View, 3.1.3 – UML Component Diagram, 3.1.4 – UML Package Diagram, 3.1.5 – UML Deployment Diagram, 3.1.6 – UML Activity Diagram
3.2.1 – Abstract Data Types and Object-Oriented, 3.2.2 – Main Program and Subroutine, 3.2.3 – Databases, 3.2.4 – Layered Systems, 3.2.5 – Client Server n-Tier, 3.2.6 – Interpreters, 3.2.7 – Pipes and Filters, 3.2.8 – Event Based, 3.2.9 – Process Control
3.3.1 – Quality Attributes, 3.3.2 – Analyzing and Evaluating an Architecture, 3.3.3 – Relationship to Organizational Structure, 3.3.4 – Product Lines and Product Families
Capstone Assignment 3.3 - Analyze and Evaluate an Architecture (Solution), Discussion: Last Word – Software Architecture, Acknowledgements, Credits
Course: Managing and Optimizing SD-Branch Networks
Modules:
Welcome to Managing and Optimizing SD-Branch Networks, SD-WAN Controllers, Management Tools, Overview - Network Performance Metrics, Network Performance and Analysis Tools, Security Policy Design and Implementation, Security Monitoring and Incident Response Process
Critical Applications and Performance Requirements, Traffic Analysis and Classification, Traffic Shaping Techniques and Implementation, Network Segmentation Design, Network Segmentation Design: ACLs
Preventive Maintenance Procedures, Troubleshooting Techniques, Security Audits and Vulnerabilities, Conducting Regular Security Audits, Firmware and Software Updates, Disaster Recovery Planning & Business Continuity, Conclusion
Course: Mulheres líderes: potencialize habilidades para a mudança
Modules:
0.1 Boas-vindas ao curso, 0.2 Conheça seus instrutores
1.1.1 Bem-vinda ao módulo 1, 1.2.1 Mulher e liderança: acelerador de nosso desenvolvimento, 1.2.6 Recapitulação da subseção Mulheres líderes na América Latina e Caribe, 1.3.1 Liderar num ambiente complexo e em mudança, 1.3.10 Recapitulação da subseção Estilos de liderança no mundo complexo e em mudança, 1.4.9 Mentoria: tipos e importância, 1.4.11 Diferenças entre mentoria, coaching e patrocínio, 1.4.15  Recapitulação da subseção Freios e impulsores para o desenvolvimento profissional, 1.6.2 Resumo e ideias-chave do módulo 1
2.1.1 Autoconhecimento para a liderança, 2.1.3 Entrevista: Esther Dweck, 2.2.1 Importância do autoconhecimento para a liderança, 2.2.10 Recapitulação da subseção sobre autoconhecimento, 2.3.1  A marca pessoal como impulsor da carreira, 2.3.13 Relembrando: A marca pessoal como impulsor da carreira, 2.4.1 O valor do verdadeiro networking, 2.4.13 Recapitulação de subseção, 2.6.2 Resumo e ideias-chave do módulo 2
3.1.1 Boas-vindas ao módulo 3, 3.1.4 Entrevista: Luíza Trajano, 3.2.1 Importância da inteligência emocional na liderança, 3.2.8 Ideias fundamentais da inteligência emocional e como fortalecê-la, 3.3.1 Autoconfiança e automotivação como os pilares da minha liderança, 3.3.3  Entrevista: Epsy Campbell, 3.3.10 Do medo e o hipercontrole à autoconfiança e o compromisso, 3.3.12 Recapitulação da subseção “Autoconfiança e automotivação”, 3.4.1 Elementos-chave da resiliência e da assertividade, 3.4.8 Recapitular os pontos chave da resiliência e da assertividade, 3.6.2 Resumo e ideias-chave do módulo 3 Inteligência emocional, confiança e resiliência
4.1.1  Bem-vinda ao módulo 4, 4.1.2 Entrevista: Luana Ozemela, 4.2.1 Persuasão e influência, 4.2.5 Como atingir uma comunicação persuasiva para a liderança?, 4.2.7 Entrevista: Janete Vaz, 4.2.10 Recapitulação de subseção “Persuasão e influência”, 4.3.1 Prepare-se para se comunicar melhor, 4.3.5 A arte de contar histórias no âmbito profissional, 4.4.1 Elevator pitch (discurso do elevador), 4.4.5 Por que é importante ter uma presença nas redes sociais?, 4.4.13 Recapitulação de subseção “Estratégias para comunicar sua marca”, 4.6.3 Resumo e ideias-chave do módulo 4
5.1.1 Encerramento do curso
Course: Marketing Digital en Acción
Modules:
¡Bienvenido(a) al curso!, Clase 1: Bienvenida e introducción, Clase 2: Creación de objetivos accionables, Clase 3: Fijación de objetivos a través del RACE, Clase 4: Los objetivos deben ser SMART
Clase 1: Introducción - Las claves para una segmentación, Clase 2: Bases de segmentación, Clase 3: Criterios de efectividad en la segmentación, Clase 4: El proceso de segmentación
Clase 1: Tipos de contenidos, Clase 2: Los diferentes soportes para los contenidos, Clase 3: Elección del tipo de contenido, Clase 4: Las 3 H del contenido
Clase 1: La importancia de cada canal digital, ventajas y desventajas, Clase 2: Las principales tácticas para cada canal digital I, Clase 3: Las principales tácticas para cada canal digital II, Clase 4: Las principales tácticas para cada canal digital III
Course: Fundamentals of Reinforcement Learning
Modules:
Specialization Introduction, Course Introduction, Meet your instructors!, Your Specialization Roadmap
Sequential Decision Making with Evaluative Feedback, Learning Action Values, Estimating Action Values Incrementally, What is the trade-off?, Optimistic Initial Values, Upper-Confidence Bound (UCB) Action Selection, Jonathan Langford: Contextual Bandits for Real World Reinforcement Learning, Week 1 Summary
Markov Decision Processes, Examples of MDPs, The Goal of Reinforcement Learning, Michael Littman: The Reward Hypothesis, Continuing Tasks, Examples of Episodic and Continuing Tasks, Week 2 Summary
Specifying Policies, Value Functions, Rich Sutton and Andy Barto: A brief History of RL, Bellman Equation Derivation, Why Bellman Equations?, Optimal Policies, Optimal Value Functions, Using Optimal Value Functions to Get Optimal Policies, Week 3 Summary
Policy Evaluation vs. Control, Iterative Policy Evaluation, Policy Improvement, Policy Iteration, Flexibility of the Policy Iteration Framework, Efficiency of Dynamic Programming, Warren Powell: Approximate Dynamic Programming for Fleet Management (Short), Warren Powell: Approximate Dynamic Programming for Fleet Management (Long), Week 4 Summary, Congratulations!
Course: Interactivity with JavaScript and jQuery
Modules:
Welcome to this Course!, Module Introduction, Introduction to jQuery Plugins, Using Plugins and Essential Steps, Gotchas and Rookie Mistakes, FlexSlider: A jQuery Plugin, About the Minified Version, Adding Markup & Hooking Up the Slider, FlexSlider Rules, Additional Controls, Advanced FlexSlider, Additional Styling, Styling the CTA
Module Introduction, Introduction to Smooth Scroll with jQuery, Creating a Click Handler, Adding the Animation, Add Some Easing and a Callback Function, Highlighting Elements, Introduction to Page Location Tracking, The Crux of the Problem, Strategy, Adding PageTop and If Statements, Writing the Else/If Statement - Part 1, Writing the Else/If Statement - Part 2, Edge Case Issues, Resizing Your Windows, Resetting the Counter, resetPagePosition Function, Reviewing the Whole Script, Introduction to Scroll Effects with JS, Getting the Target - Part 1, Getting the Target - Part 2, Smooth Scroll Polyfill, Checking the Load, Top Posts, Add an Event Listener, The Magic Conditionals, Changing the Next Link, Resizing Function, Finalizing the Script, Scription Site Introduction, Header HTML, Pricing HTML, Beginning Styling, Styling That Attaches to Whole Page, Slider Styling, Pricing Styles, Tablet Styles, Media Query for 1020 Pixels Wide, Media Query for 1200 Pixels Wide, Scription Site: Building Interactive Elements Challenges
Module Introduction, Introduction to Objects and Data in JS, Objects Can Contain Arrays and Other Objects, Functions Inside Objects Equals Methods, Putting Objects and Functions Together, Data Formats - XML, Example File, Introduction to Pig Dice Game, Play the Game of Pig, Version One, Other Versions
Module Introduction, Introduction to the Game of Pig, Start the Game, Set Up the Turn, Throwing the Dice, Test Throwing the Dice, Add the Selection Statements, Snake Eyes!, A "1" Was Rolled, The Else Statement, Checking for a Win, Show the Current Score, Final Clean-Up, Extending the Game, Course Summary
Course: Camera Control
Modules:
MEET MSU and THE SPECIALIZATION, MEET THE PROFESSORS: Peter Glendinning and Mark Sullivan, MEET THE COURSE: an overview by Peter and Mark, Under Exposure and Over Eposure, Reflected Light Meter & Meter Modes, Equivalent Exposure Combinations & MAPS-prob, Stop Action and Blur
Focal Length:"Normal," sensors, and angle of view, Focal Length: Perspective effects, Peter discusses Focal Length Pictures, Focal Length Series from a Single Vantage Point, Focal Lengths: Fixed or Zoom, Special Lenses: Macro, Special lenses: Fisheye, Special Lenses: Tilt-Shift, Smartphone Specialties, Protecting the Lens: shades and filters, Polarizing and Specialty Filters, Lens Adapters
Successful use of Depth of Field, Depth of Field and Aperture, Focal Length, & Focal Distance, Mark discusses DOF in a photograph
Photographs and Time as Fact, Photographs and Time As Fiction-, Peter discusses Time and his photography
Course: Aprendizajes en Ingeniería y Agricultura con Arduino: Construcción y automatización de un invernadero
Modules:
Presentación: Quiénes somos y que aprenderás en el curso.
Tipos de estructuras en las que podemos usar nuestro sistema de riego, ¿Cómo soldar cada elemento?, Armando el invernadero.
Sensores y actuadores para Arduino., ¿Cómo descargar e instalar Arduino?, Programando la electrobomba., Programando el sensor de ultrasonido., Programando el sensor de humedad relativa y temperatura., Unificando el código, Bono: Demostración funcionamiento invernadero.
¿Cómo conectar el higrómetro?., ¿Cómo conectar el sensor de ultrasonido?., ¿Cómo conectar el sensor de humedad relativa y temperatura?., ¿Cómo conectar la electrobomba?., Conexión del sistema solar fotovoltaico., Unión del sistema de riego y el sistema solar fotovoltaico., Ensamble del circuito al invernadero - Parte 1, Ensamble del circuito al invernadero - Parte 2, Armado de riego para las plantas en el hogar., Ensamble del circuito al riego para las plantas en el hogar., Proyecto aprendizajes en ingeniería y agricultura
Course: Professional Selling: Step 2 - Prepare Like a High-Performer
Modules:
Course Introduction, Meet Your Instructors - Philosophy of This Specialization, Prospecting - Kennesaw State Example, Prospecting - Agriculture Example, Tips for Prospecting, Purpose of Prospecting, Prospecting - The Life Blood of the Sales Funnel, Your Product's Value, Traits of a Good Prospect
Conversion Ratios, Prospecting Challenges for New Salespersons, Strategic Prospecting Plan, Understanding the WIFM, The Elevator Speech, Overcoming Call Reluctance, Identifying Leads - Part 1, Identifying Leads - Part 2, Tracking the Conversion Ratio
How to Qualify Prospects, Strategy for Gaining Referrals, Happy Customers = Referrals, The Prospecting Process - Part 1, The Prospecting Process - Part 2, Talking to Leads, Follow-Up and Consistency, Laugh Break
Establishing Needs: Introduction and Overview, Problem Buyers Want to Solve, Fact-Finding Questions, Identifying the Problem, The Implications, Summary and Transition
Course: Using Microsoft Copilot to Understand Your Customer
Modules:
Welcome to the Course, Data for Microsoft Copilot, How to Upload Data to Microsoft Copilot, Review Microsoft Copilot’s Data Protection Policy, Secure Your Data on Microsoft Copilot, Train Copilot With Your Data, Exploring Copilot's Common Data Upload Scenarios, Updating Data Sets in Your Microsoft Copilot Account
Generate Customer Personas Using Microsoft Copilot, Iterate and Set Customer Personas with Microsoft Copilot, Categorize New Customers Into Personas, Identify Opportunities for New Personas, Map Out Your Customer Segments, Iterate and Set Your Customer Segments, Identify Key Insights for Personas and Segments, Create a Slide Showcasing Each Unique Persona, Create a Slide Showcasing the Top Two Customer Segments, Create a PowerPoint Presentation Showcasing Customer Insights
Audit SEO Keyword Coverage, Generate Keywords and Content for SEO, Implement Dynamic Audience Targeting, Identifying Paid Search Opportunities, Creating Personalized and Localized Messaging, Audit Customer Sentiment to Analyze Social Media, Identifying Top Performing Social Content, Personalize Your Social Media Message
Congratulations and Course Completion
Course: Agile Leadership: Introduction to Change
Modules:
Specialization Introduction, Course Introduction, Meet Oxana Trotsenko, Definition of Change, Change Intensity Levels, Deconstructing COVID-19 as an Example of Change, Pace of Change, Difference Between Transformation and Change, Agile Transformation, Change Management Theories Overview, Behavior and Psychology of Change, Introduction to Change Key Concepts
Module Introduction, Traditional Leader, Agile Leader, Good or Bad?, Agile Leader Key Concepts
Module Introduction, Traditional Team, Agile Team, Agile Leader for an Agile Team, Agile Team Key Concepts
Module Introduction, Traditional Organization, Agile Organization, Agile Organization Key Concepts
Course: Giving 2.0: The MOOC
Modules:
Introduction, Giving Levers, Course Objectives and Overview, R.A.D.A.R. Roadmap, Why We Give, Why I Give, What is Philanthropy?, Philanthropy: National and Global Context, Charity vs. Philanthropy, Case Study: Earthquake in Haiti, What Makes a Gift Effective?, Guest Speaker: Peter Singer - What Makes a Gift Effective?, Guest Speaker: Bruce Sievers - What Makes a Gift Effective?
Issue Area Selection, Guest Speaker: Scott Harrison - My Issue Area, Philanthropic Strategy, Theory of Change, Intervention Strategies, Guest Speaker: Alexa Cortes Culwell - Comparing Intervention Strategies, Sourcing Nonprofits, Philanthropy Research, Landscape Map, Selection Criteria, Guest Speaker: Paul Brest - Selection Criteria
Introduction to Nonprofit Assessment, Your Relationship with Nonprofits, Guest Speaker: Darren Walker, Guest Speaker: Holden Karnofsky, Guest Speaker: Jacob Harold, Mission Assessment, Evaluation and Metrics, Knowledge Management, External Strategy, Internal Strategy, Finances
Introduction, Guest Speaker: Alexander Berger - My Resources, What You Have: Introduction, Guest Speaker: David Kelley - Human-Centered Design, Money, Time and Skills, What You Can Access or Develop, Guest Speaker: Beth Kanter - Using Your Networks, Taking Stock, Guest Speaker: Nancy Lublin - Taking Stock
Creating Your IGAP, International and Intermediary Giving, Guest Speaker: Paul Shoemaker - Giving Collaboratively, Guest Speaker: Premal Shah - International Microfinance Intermediaries, Types of Support, Bequests and DAFs, Social Impact Investing, Giving Your Time and Skills, Guest Speaker: Meg Garlinghouse - Board Service (LinkedIn for Good), Activating Your Networks, Guest Speaker: Caroline Barlerin - Twitter for Good, Guest Speaker: Libby Leffler - Facebook for Good, Philanthropy and Technology, Guest Speaker: Lucy Bernholz - Philanthropy and Technology Part 1, Guest Speaker: Lucy Bernholz - Philanthropy and Technology Part 2, Additional Ways to be Philanthropic, Guest Speaker: Suzanne DiBianca - Giving Through Your Company, Guest Speaker: Vineet Singal - Social Entrepreneurship, Guest Speaker: John Goldman - Family Philanthropy
Measuring Our Success as Philanthropists, Your Ongoing Learning, Teaching Others, Guest Speaker: Henry Timms - Your Next Opportunity (#GivingTuesday), You + LAAF, Your Giving Legacy
Course: Leveraging Design Methods to Identify Business Opportunities
Modules:
Welcome, The Constant Need for Design and Redesign, Guest Speaker Interview: Nicole Cacal, The Responsibility of Designers: A Closer Look at Design Ethics, The Art Versus the Science of Design
Introduction to Calling Skilled Practitioners: The Need as Opportunity Space Grows, Case Studies: How Design is Expanding in Emerging Markets, Guest Speaker Interview: Emiliano Chinchelli, The Challenge in Design: Too Many Tools But Not Enough Artisans, The Building Blocks of Empathy and Excellence
Introduction to Unpacking the Double Diamond Method, Double Diamond Phase 1: Discover, Double Diamond Phase 2: Define, Double Diamond Phase 3: Develop, Double Diamond Phase 4: Deliver
Introduction to Validating an Opportunity, Risk, Value, and the Portfolio Selection Process, The Value of the Lean Canvas, Opportunity and Crafting a Distinctive Experience, Guest Speaker Interview: Janet Kinghorn
Course: Machine Learning e Data Mining in R
Modules:
Introduzione al corso, Introduzione ad R ed RStudio, Installazione R ed RStudio  (macOS), Installazione R ed RStudio (Windows), R Onramp - Introduzione, R Onramp - Recap, Data wrangling - Introduzione, Data wrangling - Recap, Data visualization - Introduzione, Data visualization - Recap
Introduzione all'apprendimento automatico, Classificazione predizione numerica clustering recap, Analisi delle componenti principali - Introduzione, Analisi delle componenti principali - Recap, Analisi dei gruppi (clustering) - Introduzione, Analisi dei gruppi (clustering) - Recap
Analisi della regressione lineare - Introduzione, Descrizione, inferenza, previsione, Quantificazione dell'incertezza, Intervalli di confidenza e previsione, Regressione lineare semplice - Introduzione, Regressione lineare semplice - Interpretazione grafica, Analisi della regressione lineare - Recap, Selezione degli attributi e regolarizzazione - Introduzione, Selezione degli attributi e regolarizzazione - Recap
Dal Percettrone al Deep Learning, Dal percetrone al deep learning recap, Knowledge Transfer, knowledge transfer recap
Course: Water Security & Stewardship
Modules:
Welcome to the PepsiCo Water Stewardship Training Program!
2.1 - 2.2 Knowledge Check, 2.3 - 2.4 Knowledge Check, Module 2 Assessment
3.1 - 3.4 Knowledge Check, Case Study and 3.5 - 3.6 Knowledge Check, 3.7 - 3.11 Knowledge Check, Module 3 Assessment
Final Course Assessment
Course: Cloud Fundamentals
Modules:
Introduction on AWS Cloud Practioner, Introduction to the AWS Cloud Practioner Specialization, Domain Introduction, Certification Path, Exam Details, Networking Terminologies: TCP, UDP, ICMP, ISP, Encapsulation, and FTP, Networking Terminologies: IP Address and Port Number, Client Server Architecture, Classic Data Centers, Virtualization
Basics of Cloud Computing, Cloud Computing Deployment, Public Cloud, Private Cloud, Hybrid Cloud, Community Cloud, Comparison of Deployment Models, Cloud Computing Service Models: Introduction and Comparison, Cloud Computing Service Models: IaaS, PaaS, and SaaS in Detail, Pizza Analogy, Cloud Service Provider
Course: Classical Cryptosystems and Core Concepts
Modules:
About the Instructors, Course Introduction, About the Instructor
What is Cryptography?, Codes and Ciphers, What is Cryptanalysis?, Modern Guiding Principles in Cryptography
Types of Cryptanalytic Attacks, Frequency Analysis of Monoalphabetic Ciphers, Multi-Character Frequency Analysis, Frequency Analysis of Monoalphabetic Ciphers - Example, Key Length Determination in Polyalphabetic Ciphers, Example of Cracking a Vigenere Cipher
What is a Hash Function?, How are Cryptographic Hash Function used, How are Cryptographic Hash Functions Attacked? Part I, How are Cryptographic Hash Function Attacked? Part II, Properties of a Cryptographic Hash Function
Course: Branding for Differential Advantage with Jagdish Sheth
Modules:
Course Intro, The Competitive Positioning of Brands - 01, The Competitive Positioning of Brands - 02, The Competitive Positioning of Brands - 03, The Competitive Positioning of Brands - 04, The Competitive Positioning of Brands - 05, The Competitive Positioning of Brands - 06, The Competitive Positioning of Brands - 07, The Competitive Positioning of Brands - 08, The Competitive Positioning of Brands - 09, The Competitive Positioning of Brands - 10, The Competitive Positioning of Brands - 11, The Competitive Positioning of Brands - 12, The Competitive Positioning of Brands - 13
Branding for Differential Advantage - 01, Branding for Differential Advantage - 02, Branding for Differential Advantage - 03, Branding for Differential Advantage - 04, Branding for Differential Advantage - 05, Branding for Differential Advantage - 06, Branding for Differential Advantage - 07, Branding for Differential Advantage - 08, Branding for Differential Advantage - 09, Branding for Differential Advantage - 10, Branding for Differential Advantage - 11, Branding for Differential Advantage - 12, Branding for Differential Advantage - 13, Branding for Differential Advantage - 14, Branding for Differential Advantage - 15, Branding for Differential Advantage - 16, Branding for Differential Advantage - 17, Branding for Differential Advantage - 18, Branding for Differential Advantage - 19, Branding for Differential Advantage - 20, Branding for Differential Advantage - 21, Branding for Differential Advantage - 22
Do Brands Have Nine Lives? - 01, Do Brands Have Nine Lives? - 02, Do Brands Have Nine Lives? - 03, Do Brands Have Nine Lives? - 04, Do Brands Have Nine Lives? - 05, Do Brands Have Nine Lives? - 06, Do Brands Have Nine Lives? - 07, Do Brands Have Nine Lives? - 08, Do Brands Have Nine Lives? - 09, Do Brands Have Nine Lives? - 10, Do Brands Have Nine Lives? - 11, Do Brands Have Nine Lives? - 12, Do Brands Have Nine Lives? - 13, Do Brands Have Nine Lives? - 14, Do Brands Have Nine Lives? - 15, Do Brands Have Nine Lives? - 16, Do Brands Have Nine Lives? - 17, Do Brands Have Nine Lives? - 18, Do Brands Have Nine Lives? - 19, Do Brands Have Nine Lives? - 20, Do Brands Have Nine Lives? - 21
Course: Building Your Brand, Sustaining Growth and Networking
Modules:
Welcome to Building Your Brand, Sustaining Growth and Networking, Leveraging the Industry to Build Your Audience, Types of Collaborations, Three-time GRAMMY® winner Victoria Monét Shares the Importance of Collaboration, Potential Partners, Partnering with Purpose, Researching Partners
Building Trust and Credibility, Techniques for Connecting with Collaborators, Five-time GRAMMY® winner Jimmy Jam on Collaborative Relationships, Creating a Compelling Value Proposition, Writing a Partnership Proposal
Budget Considerations, Budgeting for Partnership Initiatives, Maximizing Your Audience Expansion Strategies, Publicity, How to Create a Budget
Importance of Self-Care, Having a Resilient Mindset, Confidence and Focus Strategies, Five-time GRAMMY® winner Jimmy Jam on Taking Care of Yourself
Course: Entrepreneurship I: Laying the Foundation
Modules:
Welcome from Professor Parkinson, Learn on Your Terms
Understanding Entrepreneurs and Entrepreneurship - The Startup Mindset, Opportunity Recognition - Startup Idea Sources, Pitching Your Idea, Interview with Bruce Ackerman, Printavo
Value Propositions, Market Sizing, Industry Analysis, Interview with Cara Bognar, Top Tier Lessons
Team Building, Entrepreneurial Leadership, Building Credibility, Interview with Steven Farag, Campus Ink
Customer Discovery, Early Adopters, Crowdfunding, Interview with Aadeel Akhtar, Psyonic
Course: Introduction to English Common Law
Modules:
Welcome to the course!, Welcome to Week 1, Key features of English law, The origins of common law, Common law and equity, Themes in common law, End of Week Summary
What is a constitution?, The sources of the British constitution, Rule of Law, Separation of Powers, End of Week Summary
Welcome to Week 3, The structure of the courts, The civil courts, The criminal courts, Online courts: The courts of the future?, End of Week Summary
Welcome to Week 4, What is a statute?, The problem of language, The traditional approach of the courts, The modern approach of the courts (1), End of Week Summary
Welcome to Week 5, What is case law?, Advantages and disadvantages of precedent, Judges and the law, End of Week Summary
Welcome to Week 6, Background of the European Union, The nature of the European Union: a unique legal order, The European Union’s institutions, The impact of EU Law on English law, Leaving the European Union, Overview of the ECHR and the HRA, Human Rights Act 1998, End of Week Summary, Conclusion
Course: Analíticas y Métricas de Marketing
Modules:
Definición de analítica web y métricas, terminología básica, Definiendo Google Analytics para analítica digital
Pasos para estructurar un plan de medición básico, Definiendo mediciones por tipo de negocio
La audiencia en Marketing Digital, La importancia de la segmentación digital
Embudos de Conversión, Desaprovechamiento de la analítica digital, Entrevista con el experto
Course: Transformer Models and BERT Model - 日本語版
Modules:
Transformer モデルと BERT モデル: 概要, Transformer モデルと BERT モデル: ラボのチュートリアル
Course: Algal Blooms and Proliferations
Modules:
Welcome to Algal Blooms and Proliferations, Nuisance Algal Blooms, Harmful Algal Blooms and Proliferations, Taste and Odor Compounds, Microcystins and Nodularins
Anatoxins (VFDF), Cylindrospermopsin - Raphidiopsis, Azaspiracids, Paralytic Shellfish Poisoning (PSP) - Saxitoxins, Prymnesins - Ichthyotoxins, Pymnesium, Ciguatera Food Poisoning (CFP), Amnesic Shellfish Poisoning (ASP), Yessotoxin, Neurolytic Shellfish Poisoning (NSP), Euglenophycin, Fatty Acids, Aldehydes, and Oxylipins, Diarrhetic Shellfish Poisoning (DSP)
Monitoring Blooms & Proliferations I (Water Quality), Monitoring Blooms & Proliferations II (Microscopy), Monitoring Blooms & Proliferations III (Toxin ID), Monitoring Blooms & Proliferations IV (eDNA), Mitigation Strategies - Chemical, Restoration of Water Bodies Impacted by HABs
Harmful Algae in Food Products, Impacts on Recreation and Economy
Course: Teach English Now! Second Language Reading, Writing, and Grammar
Modules:
Welcome Video, Video 1:  Dorothy and 3 Types of Readers, Video 2:  The Scarecrow Reader, Video 3:  Tips for Scarecrows: Meet Ignorance with Information, Video 4:  The Tin Man Reader, Video 5:  Tips for Tin Men and Women:  Meet Isolation with Involvement, Video 6:  The Lion Reader, Video 7: Tips for Lion Readers: Meet Apathy with Intrigue, Video 8:  Summary Video
Video 1:  Meet Coach Hare, Video 2:  Extensive Reading Techniques, Video 3:  Meet Coach Tortoise, Video 4: Intensive Reading Techniques, Video 5: Summary Video
Video 1: Hansel, Gretel, and the Writing Witch, Video 2:  Process Writing:  Leaving Breadcrumbs, Video 3:  Recursive Writing: Think Outside the Gingerbread House, Video 4: Allowing Revision and Avoiding Appropriation, Video 5: Breadcrumbs Followed, Video 6: Summary
Video 1: I Dream of Genie, Video 2: Good Writing Is..., Video 3: The Student Becomes the Master, Video 4: Strategies for Writing to an Audience, but for Yourself, Video 5: Summary Video
Video 1: The Importance of Integrating Grammar into Reading and Writing, Video 2: The Princess and the Pea (Part 1), Video 3: Noticing Grammar Problems, Video 4: The Princess and the Pea (Part 2), Video 5: Noticing and Input Enhancement, Video 6: Summary Video
Video 1: Course Summary Video
Course: Mindware: Critical Thinking for the Information Age
Modules:
Course Introduction
Variables - Normal Distribution, Introduction to Correlation
The Law of Large Numbers: Part 1, The Law of Large Numbers: Part 2
Correlations, The Draw-a-Person Test, Illusory Correlation, Confounded Variables; Statistical Significance
The Superiority of Experiments over Correlations, A/B Testing, Experimental Design and Natural Experiments
Regression to the Mean, Base Rate
The Illusion of Objectivity, Heuristics, Fundamental Attribution Error; Confirmation Bias
Cost-Benefit Analysis, Sunk Costs, Loss Aversion
Logical Reasoning, Dialectical Reasoning
Concluding Thoughts
Course: Architecting with Google Kubernetes Engine: Foundations
Modules:
Course Introduction Foundation
Introduction, Cloud Computing and Google Cloud, Resource Management, Billing, Interacting with Google Cloud, Lab Intro, Getting Started with Google Cloud Platform and Qwiklabs, Lab solution, Summary
Introduction, Introduction to Containers, Containers and Container Images, Lab Intro, Lab solution, Introduction to Kubernetes, Introduction to Google Kubernetes Engine, Compute Options Detail, Summary
Introduction, Kubernetes Concepts, The Kubernetes Control Plane, Google Kubernetes Engine Concepts, Kubernetes Object Management, Lab Intro, Migrate for Anthos Introduction, Migrate for Anthos Architecture, Migration Path, Migrate for Anthos Installation, Summary
Course: Teach English Now! Second Language Listening, Speaking, and Pronunciation
Modules:
Welcome Video, Video 1: What Makes Listening Hard?, Video 2: Challenges to Listening for Learners, Video 3: What Makes Listening Hard (Take 2), Video 4: Challenges to Listening for Teachers, Video 5: Summary Video
Video 1: What Makes Listening Easy, Video 2: Listening Strategies for Learners, Video 3: What Makes Listening Easy…for Teachers, Video 4: Listening Strategies for Teachers, Video 5: Summary Video
Video 1: What Makes Speaking Hard, Video 2: Cognitive, Social, and Affective Demands on the Learner, Video 3: What Makes Speaking Hard (Take 2), Video 4: Contrasting Clara vs. Adam and Ashley, Video 5: Summary Video
Video 1: What Makes Speaking Easy, Video 2: Speaking Strategies for Learners, Video 3: What Makes Speaking Easy…for Teachers, Video 4: Speaking Strategies for Teachers, Video 5: Summary Video
Video 1: What Makes Pronunciation Hard, Video 2: Barriers to Pronunciation, Video 3: What Makes Pronunciation Easy, Video 4: Strategies for Teaching Pronunciation, Video 5: Summary Video
Video 1: Course Summary Video
Course: Introduction to Predictive Modeling
Modules:
Analytics for Decision Making Specialization, Personal Introduction, Course Overview, Week/Module 1 Overview: What You Will Learn This Week, Introduction to Predictive Modeling, Introduction to Linear Regression, Understanding the Mechanics of a Regression Model, Using Excel to Conduct Linear Regression, Using Linear Regression for Prediction
Week 2 Overview on Multiple Linear Regression, What is Multiple Linear Regression?, Understand Model Fit and Prediction using Multiple Regression, Fitting and Interpreting Multiple Regression Models using Regression Tool, Making Predictions using the Regression Tool, Making Predictions using the Trend function, Building Good Regression Models, A Demonstration of Backward Elimination
Week 3 Overview: Preparing Your Data, Why Is Data Preparation Important?, Working with Different Types of Variables, Handling Different Types of Variables, Using Excel Pivot Table to Explore Column Values, Using Excel VLOOKUP to Encode Ordinal Variables, Using Excel IF function to Encode Nominal Variables, Other Uses of VLOOKUP and IF functions, Handling Data/Time Variables, Excel Demonstration of Handling Data/Time Variables, Handling High Order, Interaction Variables, Interaction Variables, Handling Missing Values & Module Summary
Week 4 Overview: Time Series Forecasting, Time Series Data and Time Series Forecasting, Components of Time Series, Model Accuracy Metrics, Moving Averages, How to Forecast using the Moving Averages Model, The Exponential Smoothing Model, Demonstration of Exponential Smoothing, Double Moving Averages, Demonstration of Double Moving Averages, Double Exponential Smoothing (Holt's Method), Holt-Winters' Additive Model, A Demonstration of Holt-Winters' Additive Model, Holt-Winters' Multiplicative Model, Time Series Regression, Composite Forecast, Course Wrap Up:  A Summary of What You Have Learned in this Course, Congratulations on Finishing "Introduction to Predictive Modeling"!, Carlson School of Management: Master of Science Program in Business Analytics (MSBA)
Course: Genomic Data Science and Clustering (Bioinformatics V)
Modules:
(Check Out Our Wacky Course Intro Video!), Which Yeast Genes are Responsible for Wine Making?, Gene Expression Matrices, Clustering as an Optimization Problem, The Lloyd Algorithm for k-Means Clustering
From Hard to Soft Clustering, From Coin Flipping to k-Means Clustering, Expectation Maximization, Soft k-Means Clustering, Hierarchical Clustering
Statement on This Week's Material, How Have Humans Populated the Earth?
Course: GenAI for Cloud Support Associates
Modules:
Introduction to GenAI for Cloud Support Associates, History & Background for GenAI and Cloud Support Associates, Demo for Reviewing an Apache Log file with ChatGPT, Remediating Risks and Ethical Concerns, Demo for Responding to Support Tickets faster with Perplexity, Closing Thoughts: What’s Next
Course: Build a Product Card with Tailwind CSS
Modules:
Introduction to this course, A super quick Tailwind CSS recap, Aside - The tailwind.config object, Adding custom colours, Aside - Fonts in Tailwind CSS, Adding custom fonts, Aside - Max width in Tailwind CSS, Crafting the card, Font and Text Classes, Aside - Gradients in Tailwind CSS, Styling the buttons, Aside - Lists in Tailwind CSS, Styling the features section, Aside - Grids in Tailwind CSS, Mobile and desktop views, Aside - Background images in Tailwind CSS, Adding the background images, Aside - Transforms in Tailwind CSS, Aside - Transitions in Tailwind CSS, Styling the wishlist button, Aside - Arbitrary values in Tailwind CSS, Adding the dropshadow, Congratulations!
Intermediate Tailwind CSS Graded Assignment
Course: Effective Leadership: Master Management Styles
Modules:
Welcome to the Course
Leadership Dynamics: The Impact of Management Styles on Organizational Success, Mastering Autocratic Management: Strategies, Recognition, and Adaptation, Democratic Management Unveiled: Styles, Identification, and Implementation, Laissez-Faire Management Unlocked: Strategies for Autonomy, Guidance, and Success
Discovering your Management Style: The Role of Self-Awareness in Leadership, Adapting and Evolving: Evaluate Factors that Call for Different Management Styles, Strategic Leadership: Steps to Embrace a New Management Style
Course: ¿Cómo funcionan las marcas?
Modules:
¿Qué es una marca?, ¿Por qué existen las marcas?
¿Cómo funciona la marca?, ¿Cómo están cambiando las cosas?
¿Manteniendo el estatus de una marca?, Ciclo de vida de una marca
Aspectos relevantes en la arquitectura de marcas, Branding interno y externo: terminología de Branding, Entrevista con el experto
Course: المعادلات في مايكروسوفت إكسل الجزء ١ |Formulas in MS Excel 1
Modules:
تعريف المعادلة (Formula) ومكوناتها وطرق بنائها, الـمعادلات الأكثر استخداماً, معادلات العد, المعادلة الشرطية (IF), معادلة الجمع الشرطي, الخلاصة
Course: Responsible AI: Applying AI Principles with GC - 繁體中文
Modules:
課程簡介, Google 和負責任的 AI 技術, Google 的 AI 開發原則簡介
經濟學人智庫報告, 負責任創新做法的商業論點
AI 的技術考量和倫理問題, 與人工智慧技術相關的疑慮
Google 如何擬定 AI 開發原則, 偵測倫理問題, Google AI 開發原則的倫理目標
Google 的 AI 控管機制, Google Cloud 的審查程序, 名人辨識功能個案研究
問題偵測流程, 採取 AI 開發原則的經驗談：挑戰, 採取 AI 開發原則的經驗談：最佳做法
繼續推行負責任的 AI 技術做法
Course: Future of Production
Modules:
Introduction to the course & the instructor, Introduction to manufacturing processes, Types of manufacturing processes, Significance of manufacturing processes, Internet of things (IoT), Additive manufacturing, Artificial intelligence (AI), Robotics and automation, Augmented reality (AR) and virtual reality (VR), Understanding the future of manufacturing, The rise of industry 4.0, The impact of additive manufacturing
Introduction to module 2, Robotics, Artificial Intelligence (AI), Internet of Things (IoT) and Collaborative Robots (Cobots), Benefits of integrating robotics, Challenges in integrating robotics, Data-driven decision making, Internet of things (IoT) integration, Digital twin technology
Introduction to module 3, Understanding additive manufacturing, Applications of additive manufacturing, The future of additive manufacturing, Internet of things (IoT) in manufacturing, Benefits of IoT in manufacturing, Applications of IoT in manufacturing, The role of big data, Benefits of analytics in production, Challenges and considerations
Introduction to module 4, Pollution and emissions, Resource depletion, Waste generation and carbon footprint, Energy efficiency, Waste reduction and recycling, Sustainable material selection, Supply chain optimization, Design for circular economy, Resource recovery and recycling, Extended producer responsibility, Wrap-up & key takeaways
Course: Turn Ethical Frameworks into Actionable Steps
Modules:
Turn Ethical Frameworks into Actionable Steps Course Introduction, CEET Specialization Introduction, Course Welcome & Success Tips, The Importance of Ethical Frameworks, Major Schools of Philosophical Thought, What Is an Ethical Framework?, Montreal Declaration for a Responsible Development of Artificial Intelligence, Ethics Guidelines for Trustworthy AI, Beijiing AI Principles, Universal Guidelines for Artificial Intelligence, Top 10 Principles for Ethical Artificial Intelligence, OECD Principles on Artificial Intelligence and the G20 AI Principles, Ethically Aligned Design (IEEE), The Asilomar AI Principles, The Toronto Declaration, Privacy, Accountability, Transparency and Explainability, Fairness and Non-Discrimination, Safety and Security, Human Control of Technology, Professional Responsibility, Promotion of Human Values
The Challenge of Turning Ethical Principles into Action, What to Do with a Runaway Trolley?, What Actions to Take in Emergency and Disaster Scenarios?, What If a Biased System Is Still Better than Humans?, Should AI Enable Self-Destructive Behavior?, What Limits on Persuasive Technology Are Fair?, When Is It Okay to Breach Patient Confidentiality for Non-Compliance?, How to Reconcile Individual Benefits That Also Damage the Social Fabric?, What If an AI System Is "Emancipated" from Human Oversight?, How to Protect Against AI-Driven Harassment?
The Importance of Regulations and Standards, What Is a Regulation?, The Code of Fair Information Practices, OECD Privacy Guidelines, GDPR, CCPA, PIPEDA, POPI, LGPD, HIPAA, COPPA, Algorithmic Accountability Act, FERPA, BIPA, What Is a Standard?, PCI DSS, NIST Standards, CIS CSC, ISO Standards, NISTIR 8288, MITRE ATT&CK Framework, IEEE 7000 Series
The Challenge of Reconciling Competing Obligations, Use of Collected Data vs. Integrity, Availability of Datasets for ML Algorithms vs. Privacy Protection, Data Minimization Principle vs. Need for Data, Compliance vs. Cost, Performance vs. Explainability, Transparency/Explainability vs. Intellectual Property Rights, Company/Stakeholder Needs vs. Ethical Decision Making, Military Effectiveness vs. Risk of Collateral Damage, Efficiency vs. Systemic Fragility, Proliferation of AI to Unscrupulous Actors vs. Democratization of AI, Efficiency of Development vs. Cultural/Contextual Sensitivity, Big Data Generated Through Devices vs. Concentration of Power in Big Tech, Fair Competition vs. Corporate Data Hegemony, Efficiency/Streamlining Experience vs. Enabling Human Agency/Autonomy, Moral Relativism vs. Evidence-Based Policy, Resolution Process for Competing Business Pressures
Writing a Case Study Analysis
Course: Key Industry 4.0 Technologies in Manufacturing - 2
Modules:
Introduction to the Course, Meet your Instructor, What is Artificial Intelligence: Overview, Introduction to Artificial Intelligence, Different Components of Artificial Intelligence, Applications of AI in Manufacturing, Difference between AI, ML, DL and Big Data Analytics: Overview, Understanding Machine Learning and Deep Learning, Exploring Big Data Analytics in Manufacturing, Practical Applications of AI, ML, DL, and Big Data AnalyticS, Real-World Applications: Overview, Case Studies of AI and Big Data Analytics in Manufacturing, Impact of AI and Big Data Analytics on Manufacturing Processes, Future Trends and Opportunities in AI and Big Data Analytics
Introduction to Blockchain and Smart Contracts: Overview, Basics of Blockchain Technology, Smart Contracts and Their Role in Blockchain, Use Cases of Smart Contracts in Manufacturing, Key Features of Blockchain Technology: Overview, Decentralization in Blockchain Networks, Immutability and Consensus Mechanisms, Security Features of Blockchain Technology, Other Key Features of Blockchain Technology, Blockchain Applications in Manufacturing Industry: Overview, Impact of Blockchain Technology on Manufacturing, Real World Applications in Manufacturing 4.0, Future Trends of Blockchain Technology in Manufacturing'
What is Virtual Reality and Augmented Reality?: Overview, Introduction to Virtual Reality (VR), Understanding Augmented Reality (AR), Key Differences between AR and VR, Definitions of Extended Reality (XR) and Mixed Reality (MR): Overview, Exploring Extended Reality (XR) and Mixed Reality( MR), Impact of XR and MR  on Manufacturing Industry, Future Trends and Innovations in XR  and MR Technologies, Use Cases of Augmented Reality and Virtual Reality: Overview, Implementations of AR in Manufacturing Training, VR for Product Design and Prototyping, Applications for Remote Assistance and Maintenance
Introduction to Cloud Computing: Overview, What is Cloud Computing, Various Types and Advantages of Cloud computing, Cloud Migration Strategies for Manufacturers, Cloud Service and Cloud Computing Deployment Models: Overview, Overview of Cloud Service Models, Exploring Cloud Computing Deployment Models, Hybrid Cloud and Multi-Cloud Environment, Introduction to IT and Cyber Security: Overview, Information Security in Manufacturing, Industry 4.0 and Cyber Security Threats, Importance of Cyber Security in Manufacturing, Applications of Cloud Computing and Cyber Security in Manufacturing Industry: Overview, Cloud-Based Manufacturing Systems and Infrastructure, Cyber Security Measures for Cloud-Based Manufacturing, Cloud-Based Data Analytics for Manufacturing Optimization, Case Studies: Real-world Applications of Cloud Computing in Manufacturing, Course Closure - Gratitude !
Course: Using Python to Interact with the Operating System
Modules:
Course Introduction, Intro to Module 1: Getting Your Python On, Getting Familiar with the Operating System, Getting Your Computer Ready for Python, Setting up Your Environment on Windows (Optional), Setting up Your Environment on MacOS (Optional), Setting up Your Environment on Linux (Optional), Interpreted vs. Compiled Languages, How to Run a Python Script, Your Own Python Modules, What is an IDE?, Benefits of Automation, Pitfalls of Automation, Practical Automation Example, Module 1 Wrap Up: Getting Your Python On
Programming with Files, Reading Files, Iterating through Files, Writing Files, File paths, How to write file paths in code, Working with Files, More File Information, Directories, What is a CSV file?, Reading CSV Files, Generating CSV, Reading and writing CSV Files with Dictionaries, What is Qwiklabs?, Module 2 Wrap Up: Managing Files with Python
Intro to Module 3: Regular Expressions, What are regular expressions?, Why use regular expressions?, Basic Matching with grep, Simple Matching in Python, Wildcards and Character Classes, Repetition Qualifiers, Escaping Characters, Regular Expressions in Action, Capturing Groups, More on Repetition Qualifiers, Extracting a PID Using regexes in Python, Splitting and Replacing, Module 3 Wrap Up: Regular Expressions
Intro to Module 4: Managing Data and Processes, Reading data interactively, Standard Streams, Environment Variables, Command-Line Arguments and Exit Status, Running System Commands in Python, Obtaining the Output of a System Command, Advanced Subprocess Management, What are log files?, Filtering Log Files with Regular Expressions, Making Sense out of the Data, Module 4 Wrap Up: Managing Data and Processes
Intro to Module 5: Testing in Python, What is testing?, Manual Testing and Automated Testing, Unit Tests, Writing Unit Tests in Python, Edge Cases, Additional Test Cases, Black Box vs. White Box, Other Test Types, Test-Driven Development, The Try-Except Construct, Raising Errors, Testing for Expected Errors, Module 5 Wrap Up: Testing in Python
Intro to Module 6: Bash Scripting, Basic Linux Commands, Redirecting Streams, Pipes and Pipelines, Signaling Processes, Creating Bash Scripts, Using Variables and Globs, Conditional Execution in Bash, While Loops in Bash Scripts, For Loops in Bash Scripts, Advanced Command Interaction, Choosing Between Bash and Python, Module 6 Wrap Up: Bash Scripting
Intro to Your Final Project, Writing a Script from the Ground Up, Project Problem Statement, Help with Research and Planning, What is your career identity?, Congratulations!, Sneak Peek of the Next Course
Course: Generative AI: Labor and the Future of Work
Modules:
Unseen Labor in Generative AI, Data Labeling, Content Moderation & Human Feedback
Labor and Market Forecasts, Augment vs Reallocate vs Displace, Labor Readiness, Labor Reskilling & Deskilling, Digital Divide
Course: Observability in Google Cloud
Modules:
Course Introduction
Module Overview, Introduction to Ops Agent, Non-VM resources, Cloud Operations for GKE, Google Cloud Managed Service for Prometheus, Exposing user-defined metrics, Module Summary
Module Overview, VPC Flow Logs, Firewall Rules Logging, Load balancer logs, Cloud NAT Logs, Packet Mirroring, Network Intelligence Center, Module summary
Module Introduction, Error Reporting, Trace, Profiler, Module summary
Module Overview, Costs and pricing, Bill Estimation, Cost Control Best Practices, Module summary
Course Summary
Course Resources
Course: Beer Quality: Color & Clarity
Modules:
Meet Your Instructor: Charlie Bamforth, Introduction to Color & Clarity, Significance of Color and Clarity - Part 1, Significance of Color and Clarity - Part 2, Significance of Color and Clarity - Part 3
Color Explained, Measuring Color - Part 1, Measuring Color - Part 2, Measuring Color - Part 3, Chemistry of Color - Part 1, Chemistry of Color - Part 2, Troubleshooting Color
Turbidity Problems in Beer - Part 1, Turbidity Problems in Beer - Part 2, Turbidity Problems in Beer - Part 3, Turbidity Problems in Beer - Part 4, Turbidity and Colloidal Stability - Part 1, Turbidity and Colloidal Stability - Part 2, Turbidity and Colloidal Stability - Part 3
Factors Influencing Clarity and Stability - Part 1, Factors Influencing Clarity and Stability - Part 2, Factors Influencing Clarity and Stability - Part 3, Troubleshooting Turbidity - Part 1, Troubleshooting Turbidity - Part 2, Troubleshooting Turbidity - Part 3
Course: Achieving Advanced Insights with BigQuery
Modules:
Course Introduction
Advanced functions (Statistical, analytic, user-defined), Analytic Functions, WITH clause, and RANK(), BigQuery User-Defined Functions (UDFs), Sub-query and CTE design, Lab Intro: Deriving Insights from Advanced SQL Functions, Getting Started with Google Cloud Platform and Qwiklabs
BigQuery versus traditional relational data architecture, Denormalized, Column-Based Storage, Table Sharding, Introducing Nested and Repeated Fields, Introducing arrays and structs, Flattening arrays: Legacy versus Standard, Module summary
Avoid BigQuery Performance Pitfalls, Prevent hotspots in your data, Diagnose performance issues, Lab Intro: Optimizing BigQuery for Cost and Performance
A primer on Notebooks in the Cloud
Data Access Roles, Creating Authorized Views, and Common Pitfalls
Course summary
Course: Personality Types at Work
Modules:
Course Introduction, Toni Talks: Operationalizing Personality Types, Overview of the 3 tests, Carl Jung and Archetypes, Myers-Briggs, Bird, Big 5, Why super heroes?, Is Vader valuable? (Guy Nicolette, MD; Assistant Professor and Director of PCSMFP)
How do you tell types?, E/I, S/N, T/F, J/P, Words types use, Behaviors types use, Types under stress, Identify your weakness, Is conflict bad?, Finding the silver lining
Interview advice from Rochelle (Toni's student), How to "Get Ahead": Cason, How to "Rise Above": Dr. Ron Nutter
Does a team have a type?, Do organizations have types?, Group Types, Hard vs soft skills, Strengths according to type, From Solo Performer to Leader
How to "Get Ahead": Ropes Course Manager, Rise Above: Brian Marchman, PhD., Director of UF DCE
Course: Marketing Management Essentials: Price and Place
Modules:
Set Up Distribution Systems, Multichannel vs. Omnichannel