dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Healing with the Arts
Modules:
Welcome! Why Should I Take This Course?, Mary's Story, Michael's Story, Invocation, Creating Sacred Space, Michael Creating Sacred Space, Making Time and Space, Guided Imagery Overview, Centering, Reclaim Your Inner Artist, Reclaim Your Inner Healer, Artist and Healer as One, Pain and Darkness, Releasing the Inner Critic, Releasing Inner Critic Guided Imagery, Finding Your Essence Guided Imagery, Student Exemple: Chelsea Painting (Part 1), Student Example: Chelsea Painting (Part 2), Student Example: Chelsea Painting (Part 3), Journaling Overview, Journal Activity: Week 1, Week 1 Conclusion
Visual Arts Intro, The Eyes of an Artist, Mary Painting, Michael Talks Sculpting, Intuitive Painting, Mandala Art Exercise, Create a Mandala, Collage: Studio Visit, Gina's Home Studio, Gina Collage, Spirit Animals, Student Example with Chelsea, Week 2 Journal Activity, Week 2 Conclusion
Music Intro, Music Guided Imagery, Musical Welcome with Cathy, Music in Healthcare Settings, Singing Bowls, Cathy on Piano, Just Play, Kelly Talks Toning, Kelly Toning, Emi & Nina Singing, Dream Journal, Week 3 Conclusion
Creative Movement, Movement Guided Imagery, Michael Movement Intro, Michael Bear Dance, Movement Intro, The Sacred Groove, Contact Improv Dance, Dance of Liberation, Dance Montage, Embodiment of Movement, James Dancing, Emi Dancing, Mirror Dancing, Week 4 Conclusion
Power of Words, Word Introduction with Michael, Bringing in the Light, Creative Heart, Keri Spoken Word, Leena's Introduction, Leena's Poems (Attention: Explicit Language and Subject Matter), Patricia's Introduction, The Purple Dragon, Words from Patricia, Jai Maa Introduction, Jai Maa Performance, Week 5 Conclusion, Week 5 Journal Activity
Being the Light, Ari's Project, Jeena Henna with Cancer Patients, Keri's Theater Project, Lizzy in Garden, Alex's Vision Quest, Physiology of Art and Healing with Michael, Arts and Medicine Research, Healing with Dance Research, Week 6 Conclusion, Class Conclusion
Course: Introduction to Comparative Indo-European Linguistics
Modules:
Introduction, How to succeed in your online class, The Indo-European Language Family
How to Determine Genetic Relationships between Languages, Language change
PIE Vowels, Greek Cases, Interview with dr. Lucien van Beek, Devanāgarī, Structure of PIE Words, Ablaut, Sanskrit Vowels, Interview with Prof. dr. Alexander Lubotsky about Sanskrit
Interview with Prof. dr. Alexander Lubotsky about Iranian, Indo-Iranian and Indo-European, Grassmann's law, Interview with prof. Birgit Olsen
Palatovelars (Balto-Slavic), Interview dr. Tijmen Pronk, Consonants and Relative Chronology, Interview with Prof.dr. Weiss
Italo-Celtic and the labiovelars, Labiovelars in Greek, Interview with Prof. dr. Ranko Matasović, Proto-Indo-European consonants and Grimm's law, Explaining the exercises, Interview with prof. Guus Kroonen
Anatolian: the laryngeals, Explaining the exercise, Interview with dr. Willemijn Waal and dr. Alwin Kloekhorst, The Indo-European language tree, Interview with dr. Michaël Peyrot
Who were the Indo-Europeans?, Interview with dr. Quentin Bourgeois, Interview with Prof. dr. Brigitte Pakendorf, Laryngeals continued, Greek Poetic Meter
Course: Capstone: Creating A Sustainability Proposal
Modules:
Ken and John Introduction to the Capstone class
Snowflake Ski Basin Case Introduction Video, Ski Lifts and Snow Making, Some Ski Videos, Interview: Gregg Ralph, VP Marketing and Sales, Purgatory Ski Resort
Develop a Proposal for your Organization (Start Here)
Course: Entrepreneurship II: Preparing for Launch
Modules:
Welcome from Professor Parkinson, Learn on Your Terms
Go-To-Market Strategy, Revenue Models, Pricing Strategies, Interview with Blair Pircon, Like This Course? Learn More with the iMBA! (Optional)
Projections: Financial Projections, Projections: Presenting Financial Forecasts, Startup Financing
Angels & Venture Capitalists, Venture Capital Valuation, Term Sheets and Negotiations
Growth Metrics, Pivots, Soft Landings, Interview with Florence Fresh and Camilo Martinez, Leal
Course: Mathematics for Computer Science
Modules:
0.001 Overview of using Numerical Mathematics in Computing, 1.001 Introduction to number bases and modular arithmetic, 1.101 Introduction to number bases, 1.103 Place value for integers: binary to decimal, 1.105 Place value for integers: decimal to binary, 1.107 Place value for fractional numbers: binary, 1.109 Rational and irrational numbers: decimal and binary, 1.114 Summary of binary system and getting ready for operations in binary, 1.201 Addition in binary, 1.203 Subtraction in binary, 1.205 Multiplication in binary, 1.208 Review of Tasks, 1.210 Summary and context of binary in computing
2.101 Octal and hexadecimal (integer), 2.103 Octal and hexadecimal (fractional), 2.105 Special relationship between binary and hexadecimal, and binary and octal, 2.201 Hidden messages inside an image, 2.301 Arithmetic in hexadecimal/octal, 2.303 Other bases, 2.401 Summary
3.001 Introduction to modular arithmetic, 3.102 Computing n mod k, 3.104 Addition mod k, 3.106 Additive identity and inverse mod k, 3.201 Multiplication mod k, 3.204 Multiplicative identity, inverse mod k, exponentiation mod k, 3.206 Mod, rem and division, 3.401 Summary, 3.301 Encryption using modular arithmetic
4.001 Introduction to sequences and series, 4.101 Introduction to sequences of numbers, 4.103 Defining sequences, 4.201 Arithmetic progressions, 4.203 Geometric progressions, 4.305 Task: Investigating random numbers, 4.401 Summary of sequences and preparation for next week
5.101 Series: sums of terms of sequences; summation symbol: sigma notation, 5.104 Finite sum of arithmetic sequences, 5.106 Finite sum of geometric sequences, 5.108 Finite sums, 5.111 Summary of series; infinite sequences and sums, 5.201 Patterns in infinite sequences; limit; convergence and divergence, 5.204 Patterns in series; limit; convergent and divergent series, 5.206 Criteria for identifying convergent/ divergent sequence and series, 5.209 Summary of convergence, 5.301 Summary of sequences and series
6.001 Introduction to graph sketching and kinematics, 6.101 Cartesian coordinates, 6.201 Introduction to functions and graphs, 6.204 Functions and tables of values, 6.206 Plotting graphs by hand - aspects to consider, 6.207 Plotting graphs by hand – straight lines, 6.208 Plotting graphs by hand - quadratics, 6.209 Plotting graphs by hand - cubics, 6.210 Plotting graphs by hand – higher order polynomials, 6.211 Plotting graphs by hand – reciprocal, 6.212 Plotting graphs by hand – rational functions, 6.213 Plotting graphs by hand - piecewise, 6.301 Transformations of graphs, 6.307 Summary of graphs, 6.401 Kinematic equations, 6.403 Summary of kinematics, 6.501 Summary
Course: Getting Started with TikTok
Modules:
Program Introduction Video, Course Introduction Video, Instructor Introduction Video, Overview: Introduction to TikTok, A Brief History of TikTok, Introduction to TikTok, TikTok App, Explore TikTok, Understand the Algorithm, Benefits of TikTok, Create a TikTok Account, Conclusion: Introduction to TikTok
Overview: Understanding The TikTok Community, TikTok Users, How Do People Use TikTok?, Interacting with Followers and the TikTok Community, Engagement Options, The Importance of Music on TikTok, What Makes a Great TikTok Video, How to Create Your First Video, Exploring Video Tool Options, Audio Features, Behind the Scenes, Conclusion: Engaging with the TikTok Community
Course: 《MBA论文写作指导》
Modules:
MBA论文概述
论文选题
研究方案设计
资料收集与调查
论文结构设计
开题报告
正文写作1：绪论与理论概述
正文写作2：宏观环境与行业分析
正文写作3：发现问题
正文写作4：解决方案设计与实施
语言与规范化
论文答辩
Course: Algorithmic Solutions: Design, Problem Solving, Reporting
Modules:
Introduction to the Course & Meet Your Instructor, Principles of Algorithm Design, Analyzing Algorithm Complexity, Examples of Basic Algorithms, Linear Programming, Constraint Satisfaction Problems, Search Algorithms, Crafting Detailed Reports, Visualization of Complex Data, Presenting to Non-Technical Audiences, Congratulations and Continuous Learning Journey
Course: إتقان الإدارة المالية | Mastering Financial Management
Modules:
كيفية أخذ المخاطر في عين الاعتبار في تقييم الـ (Investment Decision), طريقة تحليل حساسية صافي القيمة الحالية (Net Present Value Sensitivity Analysis), طريقة تحليل حساسية الإيراد السنوي (Income Sensitivity Analysis), طريقة تحليل حساسية عمر المشروع, إدارة رأس المال العامل (Net working Capital Management), النسب الرئيسية للسيولة (liquidity) والكفاءة (efficiency), الحالات المختلفة لمستوى الـ (Net working Capital) وأفضل الطرق لإدارته, التحكم في المخزون (Controlling Inventory), إدارة الـ (Accounts Receivable), طرق الرقابة على الائتمان, الخلاصة
Course: Smart Analytics, Machine Learning, and AI on GCP en Español
Modules:
Introducción al curso
Introducción al módulo, ¿Qué es la IA?, Transición del análisis de datos ad-hoc a la toma de decisiones basadas en datos, Opciones para modelos de AA en Google Cloud
Introducción al módulo, Los datos no estructurados son complejos, API de AA para enriquecer los datos, Introducción al lab: Cómo usar la API de Natural Language para clasificar texto no estructurado, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Introducción al módulo, ¿Qué es un notebook?, Comando mágico de BigQuery y vínculos con Pandas, Introducción al lab: BigQuery en JupyterLab en Vertex AI
Introducción al módulo, Formas de aplicar el AA en Google Cloud, Vertex AI Pipelines, TensorFlow Hub, Introducción al lab: Ejecuta canalizaciones en Vertex AI, Resumen
Introducción al módulo, BigQuery ML para crear modelos con rapidez, Modelos compatibles, Introducción al lab: Predice la duración de un viaje en bicicleta con un modelo de regresión en BigQuery ML, Introducción al lab: Recomendaciones de películas en BigQuery ML, Resumen
Introducción al módulo, ¿Por qué usar AutoML?, AutoML Vision, Procesamiento de lenguaje natural con AutoML, AutoML Tables, Resumen
Resumen del curso
Smart Analytics, Machine Learning and AI on Google Cloud
Course: Regression Modeling in Practice
Modules:
Lesson 1: Observational Data, Lesson 2: Experimental Data, Lesson 3: Confounding Variables, Lesson 4: Introduction to Multivariate Methods
SAS Lesson 1: More on Confounding Variables, SAS Lesson 2: Testing a Basic Linear Regression Mode, SAS Lesson 3: Categorical Explanatory Variables, Python Lesson 1: More on Confounding Variables, Python Lesson 2: Testing a Basic Linear Regression Model, Python Lesson 3: Categorical Explanatory Variables, Lesson 4: Linear Regression Assumptions, Lesson 5: Centering Explanatory Variables
SAS Lesson 1: Multiple Regression, SAS Lesson 2: Confidence Intervals, SAS Lesson 3: Polynomial Regression, SAS Lesson 4: Evaluating Model Fit, pt. 1, SAS Lesson 5: Evaluating Model Fit, pt. 2, Python Lesson 1: Multiple Regression, Python Lesson 2: Confidence Intervals, Python Lesson 3: Polynomial Regression, Python Lesson 4: Evaluating Model Fit, pt. 1, Python Lesson 5: Evaluating Model Fit, pt. 2
SAS Lesson 1: Categorical Explanatory Variables with More Than Two Categories, Python Lesson 1: Categorical Explanatory Variables with More Than Two Categories, Lesson 2: A Few Things to Keep in Mind, SAS Lesson 3: Logistic Regression for a Binary Response Variable, pt 1, SAS Lesson 4: Logistic Regression for a Binary Response Variable, pt. 2, Python Lesson 3: Logistic Regression for a Binary Response Variable, pt. 1, Python Lesson 4: Logistic Regression for a Binary Response Variable, pt. 2
Course: Health for All Through Primary Health Care
Modules:
Course Introduction, Module 1 Overview, Historical Perspectives on Primary Health Care
Module 2 Overview, What is Primary Health Care, Primary Health Care in the 1990s and 2000s, Roots of Primary Health Care (Carl Taylor)
Module 3 Overview, Programmatic Issues, Progress, and Challenges, Care Group Project Implementation, BRAC, Bangladesh, Nepal and Beyond
Module Four, Community Health Workers in Historical Perspective, One Million Community Health Worker, The BRAC Manoshi Project, On the Road in Brazil to Achieving Health for All Through Primary Health Care
Course Wrap-Up
Course: Foundations of Marketing Practice for Non-Majors
Modules:
Course Introduction, Marketing Fundamentals Introduction, Lesson 1 Marketing Fundamentals
Strategy & Planning Introduction, Lesson 2 Strategic & Marketing Planning
Market Research & The Environment Introduction, Lesson 3 Market Research & Environmental Scanning
Consumer Behavior & STP Introduction, Lesson 4 Consumer Behavior & STP
Course: Getting Started with HashiCorp Nomad
Modules:
Introduction to Nomad, Understanding the Nomad Components, Learning Nomad Architecture, Comparing Nomad to Kubernetes
Installing Nomad, Demo - Installing Nomad on macOS, Demo - Installing Nomad on Linux, Demo - Installing Nomad on Windows, Let's Get Nomad Running, Demo - Starting the Nomad Service, Nomad Server Clustering, Demo – Let's Create a Nomad Cluster, Nomad Clients, Demo – Let's Add Clients to the Cluster, Managing Cluster Members, Demo – Let's Work with Cluster Members
Securing Nomad, Secure Nomad with TLS, Demo - Secure Nomad with TLS, Secure Gossip Encryption, Demo - Secure Gossip Encryption, Secure Nomad with ACLs, Demo - Secure Nomad with ACLs
Interacting with Nomad using the CLI, Demo - Using the Nomad CLI, The Nomad UI, Demo - Using the Nomad UI, Understanding the Nomad API, Demo - Using the Nomad API
Working with Nomad Jobs, Creating a Nomad Job Specification, Demo - Create a Job Specification, Running Our First Nomad Job, Demo - Run Our First Nomad Job
Expanding on Nomad Jobs, Job Placement, Demo - Job Placement, Job Constraints, Demo - Job Constraints, Networking for Jobs, Demo - Networking, Working with Volumes, Demo - Working with Volumes
Managing Nomad Environments (Day Two Ops), Monitoring the Nomad Environment, Demo - Monitor the Nomad Environment, Monitoring Application Logs, Demo - Monitoring Application Logs, Rotating Gossip Encryption Key, Demo - Rotating the Gossip Encryption Key, Upgrading Nomad to Newer Versions, Demo - Upgrading Nomad to Newer Versions
Course: Introduction to Responsible AI - בעברית
Modules:
מבוא לאתיקה של בינה מלאכותית
Course: Google Sheets - Advanced Topics en español
Modules:
Introducción al curso, Temario
Formato avanzado en una hoja de cálculo de Google, Formato condicional, Explicación de la actividad 1
Fórmulas y funciones avanzadas, Use IF e IFS para analizar datos, Explicación de la actividad 2, Validación de datos y rangos con nombre, Explicación de la actividad 3
Analizar y generar informes, Explorar gráficos, Explicación de la actividad 4, Tablas dinámicas, Crear una tabla dinámica, Explicación de la actividad 5, Integración y publicación en Hojas de cálculo de Google, Explicación de la actividad 6, Macros, Aplicar una macro
Propagar datos con un formulario de Google, Explicación de la actividad 7, Configurar un formulario y compartir un formulario de Google, Explicación de la actividad 8, Administrar comentarios
Descripción general del desafío empresarial, Desafío empresarial explicado, Conclusión
Course: Magic in the Middle Ages
Modules:
Introduction, The Idea of Magic, The Ancient Precedents, Magic and Superstition in Christian Europe, The Decline of Magic, Weekly Video 1 (2015)
Church versus Magic: The Early Middle Ages (8:04), The Rise and Fall of Natural Magic (5:56), Persecution Unleashed (6:23), The Tale of the Not-So-Evil Inquisitor (7:18), Necromancy: When Demons Spoke Latin (7:11), Optional video I: Eastern Jewish Communities: A Bit of Context (7:45), Optional video II: The Jewish Idea of Magic (6:38), Weekly Video 2 (2015)
The Medieval Origin of the Crime of Witchcraft (3:46), Witchcraft and Maleficent Magic (7:18), The Mythology of Witchcraft (8:04), Medieval Witchcraft Trials (I) (5:58), Medieval Witchcraft Trials (II) (6:34), Optional video: Medieval Sources on Witchcraft (I)  (6:19), Optional video: Medieval Sources on Witchcraft (II) (5:53), Weekly Video 3 (2015)
The Varieties of Magic in Islam, How Was Magic Received in Islam?(8:51), The Ikhwān al- Ṣafā’ on Magic and the Occult (8:29), The Science of the Letters (10:01), Alchemy I: Arabic Alchemy, Alchemy II: Arabo-Latin Alchemy (9:55), Weekly Video 4 (2015)
Medieval Astrology: Between Science and Magic, The Melting Pot of Medieval Astrology, Early Medieval Astronomy: the Moon, the Zodiac, Thunders and Dreams, Horoscopes and World Events: the Doings of High-End Astrology, Geomancy, Optional video-On World Cycles 1: The Great Year Doctrine in Antiquity (1), Optional video-On World Cycles 1: The Great Year Doctrine in Antiquity (2), Optional video-On World Cycles 2: The Great Year Doctrine in the Middle Ages (1), Optional video-On World Cycles 2: The Great Year Doctrine in the Middle Ages (2)
Course: Systèmes d’Information Géographique - Partie 1
Modules:
Bande-annonce, Modélisation du territoire, Coordonnées et systèmes de projection, Introduction à QGIS, Relations spatiales et topologie, Mode vecteur et mode image
Métadonnées, Acquisition de données primaires, Etude de cas - SIG et planification participative, Géoréférencement d'images, Digitalisation d'objets vectoriels
Vectorisation automatique, Sources de géodonnées, Etude de cas - Projet biodiversité Sénégal - Mauritanie
Stockage de l'information géographique, Bases de données relationnelles, Modélisation des données, Demo - Création des bases de données test, Etude de cas – Déplacements et aménagement urbains à Touba
Requêtes et langage SQL, Requêtes conditionnelles, Requêtes d’agrégation et tri du résultat, Fusion de requêtes, requêtes emboîtées, DDL, DML, Vues
Requêtes spatiales géométriques, Requêtes spatiales topologiques, Bases de données noSQL, Etude de cas – Les feux de brousse au Sahel
Course: Application of Health Equity Research Methods for Practice and Policy
Modules:
Introduction to Application of Health Equity Research Methods for Practice and Policy, Introduction to Designing Multi-level Interventions to Close the Implementation Gap in Health Equity Research, Designing Multi-level Interventions to Close the Implementation Gap in Health Equity Research, Project ReD CHIP: Care Management, Project ReD CHIP: Provider Education, Project ReD CHIP: Study Measures, Project ReD CHIP: Summary and Key Findings, Current Studies, RICH Life Project: Data Collection and Study Measures, Summary and Key Findings to Date
Introduction to "Using social epidemiology research to inform health equity interventions", Social Epidemiology Background, Mediation Example, Moving from Epidemiological Research to Developing Health Equity Interventions, Dietary Patterns and Kidney Disease
Introduction to "Using Health Services Research Methods to Inform Health Equity Interventions", Conceptual Framework, Three Articles for Three Questions: When Blacks and Whites Live in the Same Community, Do We See the Same Disparities?, Three Articles for Three Questions: Do Blacks, Whites, and Hispanics Have Similar Geographic Access to Primary Care?, Three Articles for Three Questions: Does the Racial Composition of Neighborhoods Influence Health Care Utilization?
Introduction to Lesson, Differences and Similarities Between Literacy and Health Literacy?, Test of Functional Health Literacy in Adults (TOFHLA) Findings, How Does Health Literacy Matter for Health?, What Can We Do to Ameliorate Health Literacy Deficits Outside of Traditional Education?, Storytelling Health, Literacy Adaptation in Context, Methodology for Low Literacy Evaluation and Adaptation, Background and Introduction, Study Design and Materials Development, Part 1: Sampling, Translation, and Survey Administration, Study Design and Materials Development, Part 2: Transcreation, Additional Research Considerations, Application: Research Case Study
Introduction to "Implementing Health Equity Research", Clinical Trial Participation: Overview, Barriers to Clinical Trial Participation, Interventions to Improve Participation, Improvement in Trial Participation, Practical Tools for Selecting and Training Staff for Health Equity Research
Course: Dentistry 101
Modules:
Welcome to Dentistry 101, Course Overview, Introduction, Dentistry as a Career, Public Health, Private Practice, Diversity in Dentistry
Introduction, Prosthodontics, Endodontics, Restorative Dentistry, Periodontology, Pediatric Dentistry, Orthodontics, Introduction, Oral and Maxillofacial Surgery, Oral and Maxillofacial Pathology, Oral and Maxillofacial Radiology
Introduction, Introduction to Research, New Technologies in Dentistry, The Biology of Pain, Hospital Dentistry, Veterinary Dentistry
Introduction, Introduction to Dental Schools, Applying to Dental Schools, Conclusion: Dentistry 101
Course: Modeling and Control of Single-Phase Rectifiers and Inverters
Modules:
Introduction to Grid-Tied Power Electronics, Power and Harmonics in Non-sinusoidal Systems, Low-Harmonic Rectifiers, Boost PFC Rectifier: Introduction, CCM and DCM Operation of the Boost Low-Harmonic Rectifier, Control of the PFC Boost Rectifier, Input Voltage Feedforward Compensation, Loss-Free Resistor Model
Model for the Input Current Control, Current Control: Design and Simulation Example, Quasi-Static Approximation, Input Current Shaping Using DCM Approach, Energy Storage, Output Voltage Control, RMS Values of Rectifier Waveforms, Design Example: Selection of Ron, Comparison of Rectifier Topologies, Conclusions
Introduction to Single-Phase Inverters in PV Systems, PV Cell and PV System Characteristics, PV Array Simulation Model, PV Inverter Functions, Control Loops in a Two-Stage PV System Architecture, Control of MPPT Boost Converter, Inverter Control-to-Current Dynamic Response, Average Current Mode Control in the Single-Phase Inverter, DC Bus Voltage Control, Topics for Further Study, Introduction to Peer-Reviewed Assignment: PV System Design
Course: Convolutional Neural Networks
Modules:
Computer Vision, Edge Detection Example, More Edge Detection, Padding, Strided Convolutions, Convolutions Over Volume, One Layer of a Convolutional Network, Simple Convolutional Network Example, Pooling Layers, CNN Example, Why Convolutions?, Yann LeCun Interview
Why look at case studies?, Classic Networks, ResNets, Why ResNets Work?, Networks in Networks and 1x1 Convolutions, Inception Network Motivation, Inception Network, MobileNet, MobileNet Architecture, EfficientNet, Using Open-Source Implementation, Transfer Learning, Data Augmentation, State of Computer Vision
Object Localization, Landmark Detection, Object Detection, Convolutional Implementation of Sliding Windows, Bounding Box Predictions, Intersection Over Union, Non-max Suppression, Anchor Boxes, YOLO Algorithm, Region Proposals (Optional), Semantic Segmentation with U-Net, Transpose Convolutions, U-Net Architecture Intuition, U-Net Architecture
What is Face Recognition?, One Shot Learning, Siamese Network, Triplet Loss, Face Verification and Binary Classification, What is Neural Style Transfer?, What are deep ConvNets learning?, Cost Function, Content Cost Function, Style Cost Function, 1D and 3D Generalizations
Course: 3D Models for Virtual Reality
Modules:
Welcome to 3D Models for Virtual Reality!, What are 3D Graphics?, Introduction to Integrated Development Environments (IDE), Why Use A-Frame?, Open VR with Lance Putman, Unreal Engine, Introduction to Unity, 3D Space, Unity User Interface, Navigating in Unity, Objects and Meshes, Creating Objects in Unity | Primitives, Creating 3D Assets, The  Asset Store, Importing Assets From Unity and Other Places, VR Environment Project
Introduction to Week 2, Transforms, Compound Objects, Positioning, Scaling, and Transforming Primitives in Unity, Cameras in VR, Unity VR Mode | Setting Up Cameras | Standard and VR, Keyframe Animation, Keyframe Animation in Unity, Introduction to Materials, Lights in VR, Lights in Unity, Materials, Materials in Unity, Textures, Textures in Unity, Working on Your Project
Introduction to Audio in VR, What is Sound?, How Do Humans Perceive Sound?, What is Digital Audio?, How is Sound Useful?, How Do We Use Sound in VR?, General Guidance for Using Sound, How Do We Use Filters in VR?, Audio Formats, Sources and Listeners in Unity, Audio Effects in Unity, Unity Audio Clips and Files, Audio Mixers in Unity, Audio in Unity | Additional Resources, Summary
Introduction to Week 4, Polygons to Pixels, Motion to Photon, Global Illumination, Why Do We Need Different Graphics Techniques for VR?, Further Learning, Unity Resources, Unity Examples, Learning VR Content Creation, Summary| Creating VR Worlds, Project Advice
Course: Entrepreneurial Strategic Management
Modules:
Module 1 Part 1, Module 1 Part 2 English, Module 1 Part 3 English, Module 1 Part 4 English, Module 1 Part 5 English
Module 2 Part 1, Module 2 Part 2, Module 2 Part 3, Module 2 Part 4, Module 2 Part 5, Module 2 Part 6
Module 3 Part 1, Module 3 Part 2, Module 3 Part 3, Module 3 Part 4, Module 3 Part 5, Module 3 Part 6
Module 4 Part 1, Module 4 Part 2, Module 4 Part 3, Module 4 Part 4, Module 4 Part 5
Module 5 Part 1, Module 5 Part 2, Module 5 Part 3, Module 5 Part 4, Module 5 Part 5
Module 6 Part 1, Module 6 Part 2, Module 6 Part 3, Module 6, Part 4, Module 6, Part 5, Module 6, Part 6
Course: Initier et planifier des projets
Modules:
Aperçu du cours, Questionnaire préliminaire à la formation
2.1 Cours, 2.3 Étude de cas, Vidéo bonus : Décryptage du Guide PMBOK®
3.1 Cours, 3.3 Étude de cas, Vidéo bonus : L’histoire d’une partie prenante
4.1 Cours, 4.3 Étude de cas, Vidéo bonus : WBS - Nous construisons la force
5.1 Cours, 5.3 Étude de cas, Vidéo bonus : Conflit productif
Entretien avec les membres du panel
Course: TensorFlow on Google Cloud - Português Brasileiro
Modules:
Introdução
Introdução ao ecossistema do TensorFlow, Introdução ao TensorFlow, Hierarquia da API TensorFlow, Componentes do TensorFlow: tensores e variáveis
Introdução, Um resumo de ML, Como treinar em grandes conjuntos de dados com a API tf.data, Como trabalhar na memória e com arquivos, Como preparar os dados para o treinamento de modelo, Embeddings, Coursera: Guia inicial do Google Cloud Platform e do Qwiklabs, Introdução ao laboratório: API Dataset do TensorFlow, Como dimensionar o processamento de dados com a tf.data e as camadas de pré-processamento do Keras, Introdução ao laboratório: como classificar os dados estruturados usando as camadas de pré-processamento do Keras
Introdução, Funções de ativação, Como treinar as redes neurais com o TensorFlow 2 e a API Keras Sequential, Como exibir modelos na nuvem, Introdução ao laboratório: conheça a API Keras Sequential na Vertex AI Platform, Como treinar as redes neurais com o TensorFlow 2 e a API Keras Functional, Introdução ao laboratório: como criar uma DNN usando a API Keras Functional na Vertex AI Platform, Como criar subclasses de modelos, Noções básicas sobre a regularização, Como avaliar a complexidade do modelo:  regularização L1 x L2
Introdução, Treinamento em grande escala com a Vertex AI, Introdução ao laboratório: como treinar em larga escala com o serviço Vertex AI Training
Resumo, Recurso: todas as perguntas do teste, Recurso: todas as leituras, Recurso: Todos os slides (English only)
Course: Fundamentals of NestJS
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, Overview of NestJS, Setting Up the Development Environment, Exploring the Project Structure, What you will learn in this lesson, Understanding Controllers, Route Parameters and Query Strings, Handling Requests and Responses
What you will learn in this lesson, Creating Services, Using Providers, Modules and Service Scopes, What you will learn in this lesson, Understanding Middleware, Exception Filters, Putting it all Together
Course: Movements Are Controlled By Muscle Forces
Modules:
Welcome to the Science of Movement Specialization, Meet Your Instructor, Introduction to This Course, Membrane Potential, Equilibrium Potential, Membrane Currents, Ohm's Law, Input Conductance, Membrane Capacitace, Axial Conductance, Voltage-Gated Channels, Voltage Threshold, Conduction Velocity
Exocytosis, End-Plate Potential, Myasthenia Gravis, Excitation-Contraction Coupling, Interference EMG Signal, EMG Electrodes, EMG Measurement, Botulinum Toxin (BoTox), Axoplasmic Transport
Motor Nucleus, Muscle Unit, Motor Unit Number, Cross-Bridge Cycle, Twitch Contraction Time, Tetanic Force, Muscle Fiber Types, Force Transmission, Motor Unit Properties
Motor Neuron Excitability, Recruitment Threshold, Electrical Stimulation of Muscle, Discharge Rate, Force Steadiness, Dynamic Properties, Hill Model of Muscle, Design Characteristics, Muscles in Action
Course: Serverless Data Processing with Dataflow: Develop Pipelines
Modules:
Course Introduction
Beam Basics, Utility Transforms, DoFn Lifecycle, Getting Started with Google Cloud Platform and Qwiklabs
Windows, Watermarks, Triggers
Sources & Sinks, Text IO & File IO, BigQuery IO, PubSub IO, Kafka IO, BigTable IO, Avro IO, Splittable DoFn
Beam schemas, Code examples
State API, Timer API, Summary
Schemas, Handling un-processable data, Error handling, AutoValue code generator, JSON data handling, Utilize DoFn lifecycle, Pipeline Optimizations
Dataflow and Beam SQL, Windowing in SQL, Beam DataFrames
Beam Notebooks
Course Summary
Course: Gemini for Security Engineers - 繁體中文
Modules:
使用 Gemini：安全性工程師 - 簡介, 運用 Gemini 做出安全性決策
Course: Working with the Media
Modules:
Introduction to Working with Media, Week 1 Introduction, What is a brand?, Mission and Core Values, “On Brand” Storytelling, Your Personal Brand
Introduction to Week 2, Stay in your lane!, PR’s Role in Branding, Storytelling in PR
Introduction to Week 3, Issue vs. Crisis, Stages of a Crisis, Writing a Crisis Communication Plan, Post-Crisis Plan
Introduction to Week 4, How News Works, Mass Media Theory, Connecting to the Right Audience, Helpful Tools for Media Relations
Introduction to Week 5, Working with Journalists, Building Media Lists, Press Release Basics, Writing the Pitch, Pitching News
Course: 总计划案 Final Project
Modules:
Welcome Wishes, Top Tier Success - Advice for Learners, Example Submission and Feedback (D1), Example Submission and Feedback (D2), Example Submission and Feedback (D3), Example Submission and Feedback (D4)
Top Tier Success~Advice for Learners, CEO: Example Submission and Feedback (D5 & D6), CFO: Example Submission and Feedback (D5 & D6), CMO: Example Submission and Feedback (D5 & D6)
Top Tier Success Advice for Learners, Example Submission and Feedback (D7), Example Submission and Feedback (D8), Example Submission and Feedback (D7), Example Submission and Feedback (D8), Example Submission and Feedback (D7), Example Submission and Feedback (D8)
Top Tier Success ~ Advice for Learners, CEO Example Submission and Feedback (D9 & D10), CFO Example Submission and Feedback (D9 &10), CMO: Example Submission and Feedback (D9 &10)
How to Begin? Watch Wanda Walk Through Her Process, Example Submission and Feedback (Final Pitch), Congratulations! You Did It!
Course: Introduction to Microsoft Power Platform
Modules:
An overview of Microsoft Power Platform Fundamentals, Introduction to Microsoft Power Platform Fundamentals, Microsoft Certified: Power Platform Fundamentals, What is Microsoft Power Platform?, Data connectors, Pulling it all together, Microsoft Dataverse, Understand relationships, Environments in Dataverse, What is Microsoft Power Apps?, What Power Apps can do for you, Introduction to Power Platform module summary
Course: The Science of Stem Cells
Modules:
Welcome to The Science of Stem Cells, Introduction to the Course, How Stem Cells Differentiate, History of Stem Cells, Why are Stem Cells Important?, Stem Cells in Other Organisms
Introduction to Module Two, Cell differentiation, Therapeutic Cloning & Chimeras: Part One, Cell differentiation, Therapeutic Cloning & Chimeras: Part Two
Introduction to Module Three, Reprogramming and Genome Editing for Disease Modeling, Stem Cells: Developing New Cures
Introduction to Module Four, Stem Cells in the Adult Human Retinal Pigment Epithelium and Their Therapeutic Potential, Myths About Adult (Somatic) Stem Cells
Introduction to The Bioethics of Stem Cell Research and Therapy and Conclusion, The Bioethics of Stem Cell Research and Therapy: Part One, The Bioethics of Stem Cell Research and Therapy: Part Two
Course: Leadership in the Family Business
Modules:
Welcome, Myths and realities of the family business, Video Challenges and perspectives of the family business
The business-family-ownership system, Ways of thinking of the family business leader-owner
The structural risk model, Evolution of family business models
Commitment and successor competency inventory, Next Generation Talent Development
Family business leadership, Governance dynamics, Interview with Susanne Grimm, Interview with Carlos Núñez
Course: Predictive Modeling and Transforming Clinical Practice
Modules:
Welcome to Predictive Modeling and Transforming Clinical Practice, Setting Expectations, Introduction to Clinical Prediction Models, Types of Clinical Prediction Models, Clinical Prediction Models, Operational Prediction Models, Financial Prediction Models, Developing Clinical Prediction Models
Ensuring Model Usability, Introduction to Qualitative Methods, Qualitative Methods: Choosing the Right Tool, Qualitative Methods: Population Selection, Qualitative Methods: Data Collection, Qualitative Methods: Data Analysis, Qualitative Methods for Transforming Clinical Practice, Introduction to Workflow Observations, Qualitative Project Introduction
Introduction to Clinical Prediction Model Implementation and Sustainability, Methods of Changing Clinical Practice, Fundamentals of Clinical Decision Support, Clinical Decision Support for Prediction Models, Sustainability of Clinical Prediction Models
Building Prediction Models, Clinical Data for Prediction Models, Clinical Prediction Models: Encounters, Clinical Prediction Models: Billing Data, Clinical Prediction Models: Laboratory Data, Clinical Prediction Models: Medications, Clinical Prediction Models: Clinical Observations, Clinical Prediction Models: Demographics, Health, Social, & Family History
Welcome to Practical Applications!
Course: Agile Masterclass: Agile for Project Management
Modules:
Introducing the Course and Your Instructor
Need for Change in Software Development, What is Agile?, Agile Principles, What Agile is Not, Waterfall Versus Agile, Advantages and Disadvantages of Agile
Agile Concepts, Theme, Initiative, Epic, and User Story, Agile Concepts - Product Backlog, Introduction to Burndown Chart, Creating a Burndown Chart, Burndown Chart Activity, Minimum Viable Product (MVP), Velocity
Introduction to Estimation, Why Relative Estimation?, T-Shirt and Fibonacci Estimation Techniques, Planning Poker
Introduction, Three Pillars of Scrum
Scum Product Owner, Scrum Development Team, Scrum Master
Introduction to Scrum Events, Scrum Event 1: Sprint, Scrum Event 2: Sprint Planning, Scrum Event 3: Daily Scrum, Scrum Event 4: Sprint Review, Scrum Event 5: Sprint Retrospective
Scrum Artifact 1: Product Backlog, Scrum Artifact 2: Sprint Backlog, Scrum Artifact 3: Increment
Advantages and Disadvantages of Scrum
Introduction to Kanban, Introduction to Kanban Board, Finding Inefficiencies in the Process, Underutilization of Resources, Unequal-Sized Tasks, Marking the Task, Other Issues, Definition of Done in Kanban, Daily Stand Up in Kanban, Specifying Rules in Kanban
Introduction to XP, Values of Extreme Programming, Practice Exercise on Values of Extreme Programming, Extreme Programming Practices: Part 1, Extreme Programming Practices: Part 2
Course: Marketing Analytics: Data Predictions and Dashboards
Modules:
Introduction to the Course & Meet Your Instructor, Introduction to Marketing Analytics, Data Acquisition and Analytics Services, Key Performance Indicators, Introduction to Predictive Analytics and Models, Applying Web, Social Media, Digital Marketing Analytics, Applying Customer Analytics, Visualizing Marketing Data, Building Interactive Dashboards, Data Presentation, Congratulations and Continuous Learning Journey
Course: Gemini in Google Drive - 繁體中文
Modules:
Google 雲端硬盤中的 Gemini 簡介, 詢問 Gemini 檔案相關問題, 修正向雲端硬盤中的 Gemini 發出的提示內容, 使用雲端硬盤中的 Gemini 合成多個來源的資訊
Course: Optimization Methods in Asset Management
Modules:
Course Overview
Model Setup, Optimal Portfolios and Efficient Frontier, Constructing the Optimal Portfolio in Excel, Constructing the Efficient Frontier, Two Fund Theorem: Efficient Portfolio with Risky Assets, One Fund Theorem: Efficient Portfolio with Risk-Free Asset, Sharpe Optimal Portfolio, Introduction to Capital Asset Pricing Model (CAPM), Security Market Line: Connecting CAPM to Regression, Constructing the Sharpe Optimal Portfolio in Excel, Constructing the Security Market Line in Excel
Quiz Instructions, Assignment Instruction, Assignment 1 Excel Answers
Implementation Difficulties with Mean Variance, Methods to Improve the Estimated Frontier, Leveraged ETFs and Their Returns, Volatility and ETF Returns, Beyond Variance: VaR & CVaR, VaR & CVaR with Different Return Distributions, Performance Evaluation of Fund Managers 1, Performance Evaluation of Fund Managers 2, How to Compute Average Returns, Examples of Biased Average Estimates, Survivorship Bias and Data Snooping, Other Examples of Statistical Biases & Difficulties
Quiz Instructions, Assignment Instruction, Solutions for “More about Portfolio Optimization”
Liquidity and Trading Costs Functions, Liquidity and Portfolio Execution, Optimal Execution, Portfolio Execution: Cross-Asset Price Impact, Portfolio Execution: Order and Pool Types, Optimal Execution in Excel 1, Optimal Execution in Excel 2
Course: Account Management & Sales Force Design
Modules:
Overview of Specialization - Sales Operations & Management, Instructor Introductions and Orientation to Sales Specialization, History of Sales - Part 1, History of Sales - Part 2, History of Sales - Part 3, History of Sales - Part 4, History of Sales - Part 5, Q&A - Week 1
Introduction to Account Management & Sales Force Design, Strategic Plans, Porter's 5-Forces Model, Applying Porter's 5-Forces Model, Q&A - Week 2
Introduction - Week 3, Evolution of Sales, Sales Managers Jobs, What Does a Sales Manager Do?, Life of a Sales Manager, Skills You Need, Emerging Trends and Challenges, Pharmaceutical Sales Overview, Interview - Lee Hardesty from AstraZeneca, Summary - Week 3, Q&A - Week 3
Introduction - Week 4, Inside Vs. Outside Sales, Buying Centers, What is a Sale?, Marketing Vs. Sales, Personal Sales, Personal Selling, Personal Selling Process, Sales Satisfaction-Dissatisfaction, Interview - Scott Wilkie from PwC, Summary - Week 4, Q&A - Week 4
Course: Fundamentals of Project Planning and Management
Modules:
Course Welcome, What Is a Project?, How Do We Define a Project?, Considering the Organization & Stakeholders, Project Success & Failure, The Making of Boyhood & British Airways T5 Examples, The Making of Boyhood & British Airways T5 Summary, Project Life Cycle
Why Plan?, Detailed Scoping, Identifying Dependencies, Determine the Completion Date & Critical Path, How Do We Schedule?, What If I Don’t Like Planning? Making Changes, Reflecting on Common Mistakes, Virginia Festival of the Book (Supplemental Case Study), Supplemental Tutorial: Getting Started with Microsoft Project
What Is Risky About Projects?, Identifying & Assessing Project Risks, A More Realistic Timeline Part I, A More Realistic Timeline Part II, Cost Risk Analysis, Planning for Ambiguity, Lumi Juice (Supplemental Case Study), Supplemental Tutorial: Modeling Schedule Uncertainty Part I - Tornado Charts in Microsoft Excel, Supplemental Tutorial: Modeling Schedule Uncertainty Part II - Monte Carlo Simulations in Microsoft Excel
From Plan to Action, Earned Value, Those Who Execute, Agile, Scrum, & Kanban, Supplemental Tutorial: Tracking Progress & Updating Project Plan in Microsoft Project, Project Management in the Wild, Project Management Case File #143, Project Management Case File #168, Course Conclusion
Course: Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course)
Modules:
Why reading books on scriptwriting will not help you, Creating an idea for your Series, Create Your Logline, Define Your Characters, The story arc a full season
Why watching shows and reading scripts will not help you, Your episode - the Pilot!, The Three act half-hour TV episode, Story Structure, Scene Structure, Screenplay format and film grammar, Becoming Familiar with the Software, Telling Your Story through Action and Dialogue
Write a detailed outline of Act Two, Write Act Two, Giving your characters a voice
Write your Act Three outline, Write Act Three
Polish your script, Write a Cold Open, The Bible
Course: Crash Course on Python
Modules:
Specialization Introduction, Course Introduction, The Beginning of Your Programming Journey, What is programming?, What is automation?, Getting Computers to Work for You, What is Python?, Why is Python relevant to IT?, Other Languages, Hello, World!, Getting Information from the User, Python Can Be Your Calculator, Code editors and IDEs overview, Use the command-line, Use JupyterLab and Jupyter Notebooks, Use Colab, Use VS Code, First Steps Wrap Up, Meet Marga, the Curriculum Developer
Basic Python Syntax introduction, Data Types, Expressions, numbers, and type conversions, Defining Functions, Returning Values, The principles of code reuse, Code style, Comparing things, Branching with if Statements, else Statements, elif Statements, In Marga's Words: Why I Like Python, Basic Syntax Wrap Up
Introduction to Loops, What is a while loop?, More while loop examples, Why Initializing Variables Matters, Infinite Loops and How to Break Them, What is a for loop?, More for loop examples, Nested for Loops, Common Errors in for Loops, What is recursion? (Optional), Recursion in Action in the IT Context, Loops Wrap Up, In Marga's Words: How I Got Into Programming
Basic Structures Introduction, What is a string?, The Parts of a String, Creating New Strings, More String Methods, Formatting Strings, What is a list?, Modifying the Contents of a List, Lists and Tuples, Iterating over Lists and Tuples, List Comprehensions, List comprehension vs for loops, What is a dictionary?, Iterating over the Contents of a Dictionary, Dictionaries vs. Lists, OOP Introduction (Optional), Instance Methods (Optional), Basic Structures Wrap Up, In Marga's Words: My Most Challenging Script
Final Project Introduction, Problem Statement, Research, Planning, Writing the Script, Putting It All Together, Congratulations!, Sneak Peek of the Next Course
Course: Building Data Lakes on AWS
Modules:
Course Introduction and Overview, Module Objectives, Why Data Lakes?, Data Lake vs Data Warehouse, Components and Architectures
Module Objectives, Data Lake Storage, Data Ingestion, Crawl and Catalog Data, Demo: Creating and Running a Glue Crawler, Formatting the Data in the Lake, Partitioning, Compressing, and Compacting the Data in the Lake, Query Data with Amazon Athena, Demo: Querying CSV data with Amazon Athena, Demo: Columnar data formats with Amazon Athena - a performance and cost comparison
Moule Objectives, AWS Lake Formation Overview, AWS Lake Formation Basic Permission Model
Module Objectives, Data Transformation, Data Processing with AWS Glue, AWS Glue Jobs and Workflows, Demo - Glue Databrew, Demo - Glue Studio, Tech Talk - Glue / Athena Federated Queries
Module Objectives, Using Blueprints and Workflows, Fine-grained Access Control, Demo - LF-Tags, Visualizing Data with QuickSight - Demo
Module Objectives, Modern Data Architecture, Data Movement Scenarios, Data Sharing Models, Tech Talk - What's your favorite data lake feature?, Course Recap/Key Takeaways
Course: Introdução à Guitarra
Modules:
Conecte-se com seus colegas de classe, Suporte ao aluno, Certificados de curso, Tarefas revisadas por colegas, Como gravar a si mesmo para suas tarefas
Escolhendo entre guitarra elétrica ou acústica, Guitarras para destros vs. guitarras para canhotos, Acessórios Essenciais (Acústica), Acessórios Essenciais (Elétrica), Partes da Guitarra (Elétrica e Acústica), Diagramas de Acordes em Bloco e Mapas de Escala, A menor e E maior
Nomes e Números das Cordas, Afinando sua guitarra com um afinador, Afinando sua guitarra por comparação, Afinando sua guitarra com harmônicos, Técnica de Picking, Dedilhado, Técnica de Toque
Doze trastes e doze semitons, Notas na escala, Fundamentos de ritmo, Tablatura e notação musical
Posição de Execução, A escala cromática em uma só corda, A escala cromática na primeira posição, A escala cromática em outras posições, A escala maior, Mais informações sobre escalas maiores
Tríades maiores, Tríades menores, Acordes com pestana, Power Chords, Lendo Quadros de acordes, Tocando acordes
Escalas Pentatônicas, Soloing with the Pentatonic Scale, Efeitos essenciais da guitarra elétrica, Blue Guitar Blues, JP Lullaby, Revisão
Course: Academic Information Seeking
Modules:
1.1 Introduction to the Course - Maria Ravnkilde Christensen, 1.2 Logging your Searches - Rune Kurdahl, 1.3 Generating Search Terms - Peter Hald, 1.4 Identifying Different Types of Material and Literature - Torben Jørgensen, 1.5 Identifying Information Sources - Torben Jørgensen, 1.6 Taking Advantage of Reference Management Tools - Thomas Skov Jensen, 1.7 Creating a Mendeley Account - Pernille Seier, 1.8 Adding documents and References to Mendeley - Pernille Seier
2.1 Setting up a Search Strategy - Thomas Skov Jensen, 2.2 Doing a Random Search - Maria Ravnkilde Christensen, 2.3 Making a Cited Reference Search - Peter Hald, 2.4 Using Search Techniques - Birgitte Munk Kjærgaard, 2.5 Performing a Building Blocks Search  - Rune Kurdahl, 2.6 Accessing the Full Text - Thomas Skov Jensen
3.1 Critically Analyzing Information Sources - Birgitte Munk Kjærsgaard, 3.2 Respecting Copyright - Peter Hald, 3.3 Organising and Sharing in Mendeley - Pernille Seier, 3.4 Write and Cite in Mendeley - Pernille Seier, 3.5 Avoiding Plagiarism - Thomas Skov Jensen, 3.6 Documenting your Search - Rune Kurdahl, 3.7 Wrapping Up - Thomas Skov Jensen
Course: Communicating with the Public
Modules:
Welcome
Introduction to The Big Idea
The Audience & You
Define Your Goal & Find Common Ground
Supporting Content for Your Big Idea
Preparing for a Media Interview
Marcy McGinnis' Presentation Tips
Media Interview Do's & Don'ts
What's the Story: Introduction
Story Fundamentals
The Story Structure
The Story of Penicillin: A New Angle
Using the What's The Story Form
Summary—Tying it All Together
Course: Gerenciamento de mídias sociais
Modules:
Introdução ao Certificado Profissional de Marketing de Mídias Sociais do Facebook, Visão geral das plataformas de mídias sociais, Apresentação de Anke Audenaert, Carreiras no marketing digital, Estabeleça sua presença – Visão geral, Etapas para estabelecer presença nas mídias sociais, Estabelecendo presença no Facebook, Estabelecendo presença no Instagram, O que é marca e por que você precisa de uma, A estrutura de marca EPIC, Marca: Existência, Marca: Propósito, Marca: Identidade, Marca: Conexão, Estabeleça sua presença – Conclusão
Visão geral do conteúdo nas mídias sociais, A função do conteúdo nas mídias sociais, Anatomia de uma publicação nas mídias sociais, Anatomia de uma publicação do Facebook, Anatomia de uma publicação do Instagram, A função dos textos nas publicações, A função das imagens nas publicações, A função dos vídeos nas publicações, Criando uma publicação no Facebook, Criando uma publicação no Instagram, Conteúdo nas mídias sociais – Conclusão
Visão geral do gerenciamento de conteúdo de mídias sociais, Identificar o que publicar, Tópicos sobre os quais publicar, Usando roteiros para planejar seu conteúdo, Criar um storyboard, O que faz um conteúdo viralizar?, Usando um calendário de conteúdo, Criando um calendário de conteúdo, Reutilização de conteúdo, Auditando conteúdo, Criando uma base de seguidores nas mídias sociais, Interagindo e moderando nas mídias sociais, Gerenciando sua presença e suas interações, Gerenciamento de conteúdo de mídias sociais – Conclusão
Visão geral da avaliação de esforços, Meça o que é importante, Insights da página do Facebook, O Instagram Insights, Iterando em seu calendário de conteúdo, Avalie seus esforços – Conclusão, Parabéns!
Course: Supply Chain Optimization
Modules:
Use of Optimizations in the Supply Chain
Capacity Optimization
Resource Optimization
Monte Carlo Simulation