dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Understanding, Using, and Securing Crypto and Digital Assets
Modules:
Introduction, Crypto asset security overview, Hot and cold wallets, Wallets question debrief, Software and hardware wallets, Paper, multi-sig, and custodial wallets, Security, Security question debrief, 2FA and password managers, Market capitalization and exchanges, Price indexes and block explorers, Block explorer exercise debrief, Block explorer exercise debrief (continued), Recap: Market capitalization, exchanges, price indexes, and block explorers, Token creation: ICOs, STOs, IEOs, and the SEC, Asset taxonomy, Summary
Course: MongoDB Aggregation Framework
Modules:
Welcome!, Course Logistics and Prerequisites, Aggregation Introduction, The Concept of Pipelines, Aggregation Structure and Syntax, $match: Filtering Documents, Using $project, Using Expressions, Cursor Like Methods Stages: Part 1, Cursor Like Methods Stages: Part 2, The $group Stage, Using Accumulator Expressions, $unwind, The $lookup Stage, $graphLookup Stage
Intro to Week 2, mongoimport, Importance of Schema, Exploring Schemas, Migrating Your Schema, Views, Supplementing Schemas with Accumulators, Tree-like Data in Individual Documents (Part 1), Tree-like Data in Individual Documents (Part 2), Expressive Lookup Basics, Entity Resolution with $lookup
Intro to Week 3, Calculation of Persons-Rho, Intro: Associative Role Learning, Principal Component Analysis (Part 1), Principal Component Analysis (Part 2), Intro to Linear Regressions, Linear Regressions with MongoDB, Decision Trees Part 1, Decision Trees Part 2, Decision Trees Part 3, Intro to Clustering Algorithms
Course: Fundamentals of AI, Machine Learning, and Python Programming
Modules:
Introduction to the Specialization
Introduction to AI and Machine Learning
Introduction to Deep learning and Neural Networks
Setting Up Computer - Installing Anaconda
Python Basics - Flow Control - Part 1, Python Basics - Flow Control - Part 2
Python Basics - Lists and Tuples
Python Basics - Dictionaries and Functions - part 1, Python Basics - Dictionary and Functions - part 2
NumPy Basics - Part 1, NumPy Basics - Part 2
Matplotlib Basics - part 1, Matplotlib Basics - part 2
Pandas Basics - Part 1, Pandas Basics - Part 2
Installing Deep Learning Libraries
Basic Structure of Artificial Neuron and Neural Network
Activation Functions Introduction
Popular Types of Activation Functions
Popular Types of Loss Functions
Popular Optimizers
Popular Neural Network Types
King County House Sales Regression Model - Step 1 Fetch and Load Dataset
Steps 2 and 3 - EDA and Data Preparation - Part 1, Steps 2 and 3 - EDA and Data Preparation - Part 2
Step 4 Defining the Keras Model - Part 1, Step 4 Defining the Keras Model - Part 2
Steps 5 and 6 Compile and Fit Model
Step 7 Visualize Training and Metrics
Step 8 Prediction Using the Model
Heart Disease Binary Classification Model - Introduction
Step 1 - Fetch and Load Data
Steps 2 and 3 - EDA and Data Preparation - Part 1, Steps 2 and 3 - EDA and Data Preparation - Part 2
Step 4 - Defining the Model
Step 5 - Compile, Fit, and Plot the Model
Step 5 - Predicting Heart Disease Using Model
Step 6 - Testing and Evaluating Heart Disease Model - Part 1, Step 6 - Testing and Evaluating Heart Disease Model - Part 2
Course: Metaliteracy: Empowering Yourself in a Connected World
Modules:
Course Introduction (01:00), Your Role as a Metaliterate Learner (6:39), Interview on Metacognition with Dr. Mather (6:38)
Understanding Intellectual Property (03:01), Wanna Work Together? by Creative Commons (3:00), Ethical Use of Information (02:56)
Telling Your Digital Story (4:44), Digital Story Example: Don't Work Under the Lamp Post (09:46)
Empowered Metaliterate Learning (2:09)
Course: Metabolic Makeover
Modules:
Before You Start, Final Thoughts
Course: Managing Employee Performance
Modules:
Introduction to the course and instructor, Performance management throughout the employee life cycle, The performance management process, When you don’t take advantage of performance management, Collaborative performance management, Collaboratively setting goals with your employees, The importance of weekly one-on-one meetings, Incorporating company core values, Relating employee goals to organizational goals, The principles of collaborative language, Techniques for giving feedback, How to take advantage of getting feedback, Strategies to incorporate employee rewards & recognition, General best practices, Prepare for an annual performance conversation all year long, Preparing for a formal performance conversation, What to do during a formal performance conversation, When and where to have performance conversations, Steps to take after a formal performance conversation, Five steps for successful coaching conversations, Six skills to build before you begin coaching employees, Tips for identifying and coaching a high performing employee, Tips for coaching an employee with declining performance or behavior, A simple script for overcoming employee objections or justification of behavior
Course: Building and Pitching Marketing Campaigns in Tech Industries
Modules:
When Sales Take the Lead, Building and Leading a Sales Team, Public Relations and Sponsorships, Media Integration and Marketing Mix
Pricing, Forecasting, Calculating Return on Investment (ROI)
Writing for Executives: Corporate Decision-Making in Practice, Choice and Application of Analytical Tools, Pitching to Decision Makers, Pivots
Distribution, Supply Chains, Data Analytics Part A, Data Analytics Part B, Campaign Management and Budget Reapportionment
Innovation Management, Design Thinking, Building a Brand, Corporate Logos
Customer Service / Customer Centricity, Customer Relationship Management, Loyalty Programs
Course: Modeling Time Series and Sequential Data
Modules:
Overview
Welcome to the course
About this Module, Time Series Components, Applications of Time Series Analysis, Demo: Exploring a Time Series, A Framework for Forecasting, Demo: Accumulating a Time Series and Exploring Systematic Variation, Concepts and Notation, Naive Models, Introduction to Exponential Smoothing Models (ESM), ESM and Signal Components, Demo: Forecasting with ESM
About this Module, Models for Stationary Data, Autoregressive Moving Average Models, Identifying ARMA Models (Part 1), Identifying ARMA Models (Part 2), Demo: ARMA Model Properties, Automatic Order Identification, Demo: Identifying ARMA Orders, Non-Stationary Data, Trend, Differencing and Integration, Trend Functions, Demo: Trend Two Ways in an ARIMA Framework, The Augmented Dickey Fuller Unit Root (ADF) Test (Part 1), The Augmented Dickey Fuller Unit Root (ADF) Test (Part 2), Demo: An Application of the ADF Test, Seasonal Variation (Part 1), Seasonal Variation (Part 2), The ADF Test for Seasonality, Demo: Seasonality Two Ways in an ARIMA Framework, Time Series Regression, Demo: Ordinary Regression Using Outliers, The Cross Correlation Function (CCF), The Transfer Function, Interpreting the CCF, Demo: Dynamic Regression with Event Variables, Cross Correlation Pitfalls
About this Module, Classical Analysis versus Bayesian Analysis, Accessing Lag and Next Values, Demo: Setting Up Autoregressive Components, Dynamic Linear Model Setup, Demo: Setting Up Seasonality Components, Adding Exogenous Variables, Demo: Setting Up Exogenous Components, PREDDIST and Forecasting, Demo: Forecast Output
About this Module, Preparing Time Series Data for Machine Learning, Brief Introduction to Gradient Boosting Models, Demo: Preparing Time Series Data and Building a Gradient Boosting Model", Introduction to Recurrent Neural Networks, Long Short-Term Memory Blocks in RNNs, Demo: Building a Recurrent Neural Network with LSTM Blocks to Forecast Time Series, Limitations of Machine Learning Methods for Time Series Forecasting
About this Module, External Models and Combined Forecasts, Combination Forecast Details, Combined Forecasts Using the TSM Package, Demo: Generating Combined Forecasts with the CFC Object, Demo: Combining Forecasts from Multiple Modeling Approaches, Strengths of Machine Learning Methods: Modeling Multiple Time Series, Weighting Combined Forecasts with Machine Learning, Demo: Using Gradient Boosting to Find the Best Weighted Combination of Traditional Time Series Models
Modeling Time Series and Sequential Data - Course Exam
Course: Data Pipelines with TensorFlow Data Services
Modules:
A conversation with Andrew Ng, Introduction, Popular Datasets, Data Pipelines, Extract, Transform and Load, Versioning Datasets, Looking at the Notebook, Using TFDS in Keras to Train Fashion MNIST, Horses or Humans in TFDS, Week 1 Wrap Up
Introduction, Introduction to Splits API, Splits API Notebook Walkthrough, File Structure in TensorFlow Datasets, Feature Descriptors, TFRecord Colab Walkthrough, Week 2 Wrap Up
A Conversation with Andrew Ng, Introduction, Input Data, Basic Mechanics, Numeric and Bucketized Columns, Vocabulary and Hashed Columns, Feature Crossing, Embedding Columns, Introduction, Notebook Walkthrough, Introduction, Numpy, Pandas and Images, CSV, Text and TFRecord, Generators, Introduction, Notebook walkthrough, Introduction, Using Numpy and Pandas, Image Data, CSV Data, Text Data
A conversation with Andrew Ng, Introduction, ETL, What Happens When You Train a Model, Introduction, Caching, Parallelism APIs, Autotuning, Parallelizing Data Extraction, Best Practices for Code Improvements, A Few Words by Laurence, A conversation with Andrew Ng, Introduction, How to Start Using a Dataset, Implementation, File Access and Possible Problems in Data, Publishing the Dataset, Introduction, Going Through the Colab- Part 1, Going Through the Colab - Part 2, Closing Words, A conversation with Andrew Ng
Course: Pain Management: Easing Pain in Palliative Care
Modules:
Introduction to Pain, What is Pain?, How is Pain Transmitted, Barriers to Pain Control, Pain Assessment Basics, Other Things to Know About Pain, A Conversation Between Francis, Mildred, and Harri, Assessing Pain in the Nonverbal or Cognitively Impaired
Many Dimensions of Pain, Integrative Therapies, Traditional Body-based Therapies, Nontraditional Body-based Therapies, Mind Body Therapies, Topical Therapies
Non-Opioid Medication Management, What Non-Opioids to Use and When? Part 1, What Non-Opioids to Use and When? Part 2, Common Side Effects
Easing Pain with Opioids, Opioids in Pill and IV Form, Changing From One Opioid to Another - Part 1, Changing From One Opioid to Another - Part 2, Addiction, Pseudo-Addiction, Physical Dependence, and Tolerance
Easing Pain Assessment Introduction
Course: Gemini in Gmail
Modules:
Introduction to Gemini in Gmail, Draft an Email with Gemini, Refine Prompts and Drafts, Activity Explained
Course: Project Management Job Search, Resume, and Interview Prep
Modules:
Course Introduction, Role of the Project Manager, Expert Viewpoints: Project Manager Roles and Skills, IBM Project Manager Professional Certificates, Project Management Career Opportunities, Expert Viewpoints: Project Management as a Career, Illustrating a Personal Portfolio, Expert Viewpoints: Personal Portfolios, Creating Profiles for Online Sites, Drafting the Elevator Pitch, Expert Viewpoints: Elevator Pitch
Conducting Company and Industry Research, Expert Viewpoints: Conducting Research, Working with a Third-Party Recruiter, Drafting a Resume, Expert Viewpoints: Developing a Project Management Resume, Drafting a Cover Letter
Submitting Your Application, Preparing for the Interview, Expert Viewpoints: The First Stage Interview, Project Manager Mock Interview: The First Round Interview, Project Manager Mock Interview: The Technical Interview, Final Interview: Pre-Interview Steps, Expert Viewpoints: Interview Preparation, Attending an Interview, Answering Questions, Expert Viewpoints: Responding to Questions, Project Manager Mock Interview: The Final Interview
Core and Behavioral Interview Questions, Expert Viewpoints: Interview Questions, Trick Questions and Illegal Questions, Expert Viewpoints: Difficult Questions, Salary Negotiation, Expert Viewpoints: Job Offers
Course Summary, Congratulations and Next Steps, Thanks from the Course Team
Course: Project Execution
Modules:
Introduction from Guest Lecturer Margaret Meloni, Course and Module Introduction (1.010), Let’s Review Our Project Plans (1.020), Change Control (1.030), Tools and Techniques Discipline (1.040), Expert Judgement and PMIS (1.050), Direct and Manage Project Progress (1.060), Guest Lecture: Executing the Project, Module Wrap-Up (1.070)
Module Introduction, Monitor and Control Project Work (2.020), Manage and Control Communication (2.030), Manage Stakeholder Engagement (2.040), Managing Stakeholders with RAM and RACI (2.050), Guest Lecture: Stakeholders
Module Introduction, Resource Planning and Virtual Team Management (3.020), Controlling Resources (3.030), Conduct and Control Procurement (3.040), Risk Responses (3.050), Guest Lecture: Resource Acquisition
Module Overview (4.010), Monitor and Control Project Work (4.020), Perform Integrated Change Control (4.030), Integration Management (4.040), Integration Management Plan (4.050), Guest Lecture: Change Control
Module Overview (5.010), Earned Value Management (5.020), Project Performance (5.030), Performance Measures (5.040), Integrations for Performance Management (5.050), More Performance Measures (5.060v2), To-Complete Performance Index (5.070v3), Guest Lecture: Monitoring and Controlling
Module Overview, Closeout Activities (6.020), Conduct and Communicate Final Updates to PM Plans (6.030), Project or Phase Close (6.040), Guest Lecture: Closing the Project, Course Completion (6.050)
Course: ¡¿Cómo?! ¿Química en mi casa?
Modules:
Introducción, Aportaciones de la Química en la vida diaria, Jabones, Detergentes, Blanqueadores, Desengrasantes, La industria farmáceutica, Aspirina, Barbasco
¿Qué es un polímero?, Polímeros, fibras naturales y sintéticas, Biodegradables, Oxodegradables, Pigmentos naturales y artificiales, Síntesis del amoniaco y colorantes sintéticos
Reacción de Maillard, Alimentos no convencionales, Métodos basados en azúcar, Conservadores químicos
Reciclaje, Poliestirenos, Técnicas de composteo, Biomasa, Manejo adecuado de residuos, Química en mi casa en el contexto de la pandemia por COVID19
Course: Administración ágil de proyectos
Modules:
Marco contextual y fundamentos de la administración de proyectos (AP), Proyectos y Programas, Relación entre proyecto, programa y portafolio, El IPMA y sus elementos de competencia, El PMI, su triángulo de talento, sus principios y dominios
Alineación a los objetivos de la organización, Características del director de proyectos, El director de proyectos y su liderazgo, Misión, visión y objetivos organizacionales, Los proyectos como medios para lograr los objetivos
Alcance del proyecto y del producto y el valor y los beneficios para la organización, Adaptación (tailoring), Conceptos de agile y lean, Conceptos de Scrum, Conceptos de Kanban
Course: Introduction to Carbon Reduction and Net Zero
Modules:
Introduction to the Course & Meet Your Instructor, The Fundamentals of Climate Change, Sources of Carbon Emissions, Introduction to Carbon Reduction and Net Zero, Renewable Energy Solutions, Energy Efficiency and Conservation, Carbon Capture and Sequestration Technologies, Individual Actions for Carbon Reduction, Corporate and Organizational Strategies, Policy and Global Agreements, Innovations in Sustainability, The Role of Education and Community in Carbon Reduction, Creating a Personal Action Plan for Carbon Reduction, Congratulations and Continuous Learning Journey
Course: Relational Database Administration (DBA)
Modules:
Day in the Life of a Database Administrator, Database Management Lifecycle, Database Objects, System Objects and Database Configuration, Database Storage
Introduction to Backup and Restore, Types of Backup, Backup Policies, Using Database Transaction Logs for Recovery, Overview of Database Security, Users, Groups, and Roles, Managing Access to Databases and Their Objects, Auditing Database Activity, Encrypting Data
Overview of Database Monitoring, Monitoring Usage and Performance - Part 1, Monitoring Usage and Performance - Part 2, Optimizing Databases, Using Indexes
Troubleshooting Common Issues, Using Status Variables, Error Codes, and Documentation, Using Logs for Troubleshooting, Overview of Automating Database Tasks, Automating Reports and Alerts
Instructions for Peer-graded assignment, Final Quiz Instructions, Congratulations & Next Steps, Team & Acknowledgements
Course: Flight mechanics - Propulsive balance and energy
Modules:
Drag expression, The drag polar, Froudes's thrust theory, Propeller devices types, Propulsion equation and energy exchanges
Drag variation with speed, Propulsion balance, Regimes definition and properties, Stability, A reminder on climb and descent, Best climb angle, Propelling device types
Specific distance, Cruise altitude, Breguet-Leduc equation, Payload range diagram
Course: Essential Cloud Infrastructure: Foundation - Bahasa Indonesia
Modules:
Pengantar Kursus
Ringkasan Modul, Menggunakan Google Cloud, Pengantar Lab: Menggunakan Konsol Google Cloud dan Cloud Shell, Coursera: Getting Started with Google Cloud Platform and Qwiklabs, Evaluasi Lab: Menggunakan Konsol Google Cloud dan Cloud Shell, Pengantar Lab: Pratinjau Infrastruktur, Evaluasi Lab: Pratinjau Infrastruktur, Demo: Project, Evaluasi Modul
Ringkasan Modul, Virtual Private Cloud, Project, jaringan, dan subnetwork, Demo: Memperluas Subnet, Alamat IP, Demo: IP internal dan eksternal, Memetakan alamat IP, Rute dan aturan firewall, Harga, Pengantar Lab: Membuat Jaringan VPC, Evaluasi Lab: Membuat Jaringan VPC, Desain jaringan umum, Pengantar Lab: Menerapkan Akses Google Pribadi dan Cloud NAT, Evaluasi Lab: Menerapkan Akses Google Pribadi dan Cloud NAT, Evaluasi Modul
Ringkasan Modul, Compute Engine, Demo: Membuat VM, Akses dan siklus proses VM, Pengantar Lab: Membuat Virtual Machine, Evaluasi Lab: Membuat Virtual Machine, Opsi Compute, Harga Compute, Konfigurasi Compute khusus, Image, Opsi disk, Tindakan Compute Engine Umum, Pengantar Lab: Menggunakan Virtual Machine, Evaluasi Lab: Menggunakan Virtual Machine, Evaluasi Modul, Evaluasi Kursus
Course: Beneficios y características de las redes sociales más significativas
Modules:
Bienvenida al curso, Interacción entre plataformas
Crecimiento de las redes sociales
Productividad, Colaboración, Gestión del conocimiento, Innovación, Branding, Gestión de la reputación de la marca
Aterrizaje al Capstone Project, Cierre del curso
Course: Better Writing
Modules:
A Welcome Video From Your Instructor, Get Started With PsycLearn Essentials!, Metacognitive Checkpoints: Pause and Reflect on Your Learning
What Is Good Writing?, Audience, Purpose, and Tone, Inclusive Language, Writing Tools, Using AI-Generated Content, Brainstorming, Video Description of the Inclusive Language Infographic, Video Description of the Writing Tools Infographic, Video Description of the AI-Generated Content Infographic, Video Description of the Brainstorming Infographic, Video Description of the Audience, Purpose, and Tone Infographic
Types of Sources, Finding Sources, Evaluating Sources, Using Sources, Avoiding Plagiarism, Video Description of the Using Sources Infographic, Video Description of the Types of Sources Infographic, Video Description of the Searching for Sources Infographic, Video Description of the Incorporating Sources Infographic, Video Description of the Evaluating Sources Infographic, Video Description of the Avoiding Plagiarism Infographic
Constructing Concise Sentences, Enhancing Clarity, Video Description of the Methods for Structuring a Paper Infographic, Video Description of the Drafting Mindsets Infographic
Constructing in Parallel Form, Video Description of the Punctuation Rules Infographic, Video Description of the Problematic Sentences Infographic
Revising and Improving in Practice, Conducting Final Polishing, Video Description of the Editing Checklist Infographic, Video Description of the Productivity Checklist Infographic
Introduction to the Course Summary
Instructor's Note:  Next Steps
Glossary, References, Contributors
Introduction to APA Resources, Student Resources, APA Style®, Research, and Writing, Students from Diverse Ethnic, Cultural, and Economic Backgrounds, Psychology Help Center, Psychology Careers, Careers and Internships at APA, Other APA Resources
Course: Biosphere 2 Science for the Future of Our Planet
Modules:
Welcome to the Course, Meet Joaquin Ruiz, Director of Biosphere 2, Module 1 Intro, Meet John Adams, Lecture 1a – Introducing Biosphere 2, Lecture 1b - The Story of Biosphere 2, Lecture 1c - Biosphere 2 Research, Lecture 1d - Biosphere 2 and the Water Cycle, Module 1 Wrap Up
Module 2 Intro, Meet Kevin Anchukaitis, Lecture 2a - Global Warming and Carbon Dioxide, Lecture 2b - Rain, Snow, & Climate Change, Meet David Frank, Lecture 2c - Fires & Climate Disruption, Module 2 Wrap Up
Module 3 Intro, Meet Peter Troch, Lecture 3a - Water on Earth, Lecture 3b - How much water do we use?, Lecture 3c - How will climate change affect water availability?, Lecture 3d - Water cycle research, Module 3 Wrap Up
Module 4 Intro, Meet Larry Venable, Lecture 4a - Biodiversity and its maintenance, Lecture 4b - Functional traits and diversity, Lecture 4c - Vegetation response to climate change, Lecture 4d - Biological bet hedging, Module 4 Wrap Up
Module 5 Intro, Meet Joost Van Haren, Lecture 5a - The Biosphere 2 Rainforest, Lecture 5b - Tropical Rainforests of the Amazon, Module 5 Wrap Up
Module 6 Intro, Meet Julia Cole, Lecture 6a - The ocean, climate, and humans, Lecture 6b - Global warming, Ocean warming, Lecture 6c - Acidification: Warming's evil twin, Lecture 6d - The global coral reef crisis, Module 6 Wrap Up
Module 7 Intro, Meet Katerina Dontsova, Lecture 7a - Why do we care about soil?, Meet Rachel Gallery, Lecture 7b - Soil biodiversity, Lecture 7c - Soil microorganisms, Lesson 7d - Soils and human survival, Module 7 Wrap Up
Module 8 Intro, Meet Gene Giacomelli, Lecture 8a - Plant processes and the Lunar Greenhouse, Lecture 8b - Controlled Environment Agriculture, Lecture 8c - Home Grown Hydroponics, Module 8 Wrap Up
Module 9 Intro, Meet Chris Impey, Lecture 9a - Living on a finite planet, Lecture 9b - Resources in space, Lecture 9c - The future of space travel, Lecture 9d - The Moon and Mars, Lecture 9e - Living Beyond Earth, Module 9 Wrap Up
Course: Quantum Optics 1 : Single Photons
Modules:
0.0 General introduction to the course, 1.0 Introduction to Lesson 1, 1.1 Canonical quantization, 1.2.1 Material harmonic oscillator /1, 1.2.2 Material harmonic oscillator /2, 1.3 Single mode of radiation, 1.4 Canonical quantization of a single mode, 1.5 Observables, 1.6 Number states; Photon, 1.7 Vacuum fluctuations, 1.8 What have we learnt? What next?, Introduction to homework 1, Quantization of classical oscillators
2.0 Introduction, 2.1 The semi-classical model of optics, 2.2 One-photon state in a single mode, 2.3 Photo-detection signals, 2.4 Single photo-detection signal for a one photon state, 2.5 Double photo-detection signal for a one photon state: a fully quantum behavior, 2.6 Quantum optics: a must
3.0 Introduction to Lesson 3, 3.1 Beam-splitter in quantum optics, 3.2 One photon wave-packet on a beam splitter, 3.3 Mach-Zehnder interferometer in classical optics, 3.4 One-photon interference, 3.5 Wave-particle duality: “a quantum mystery”; a consistent formalism
4.0 Introduction to lesson 4, 4.1 Canonical quantization of multimode radiation, 4.2 Eigen-states of the Hamiltonian: space of states, energy of the vacuum, 4.3 Total number of photons, 4.4 Linear and angular momentum, 4.5 Field observables: vacuum fluctuations, 4.6 Photo-detection signals, 4.7 Conclusion: what you have learned; the quantum vacuum
5.0 Introduction to Lesson 5, 5.1 Heisenberg formalism: photo-detection signals, 5.2 Multimode one-photon wave-packet, 5.3 Spontaneous emission photon, 5.4 A detour to Fourier transforms, 5.5 Real one-photon sources, 5.6 One-photon sources for what?
6.0 Introduction to Lesson 6, 6.1 Anti-correlation for a one-photon wave-packet on a beam-splitter, 6.2 Anti-correlation experiments: fully quantum behavior, 6.3 Anti-correlation with supplementary photons, 6.4 One-photon interference signal, 6.5 One photon interference experiment, 6.6 Wave particle duality and complementarity, 6.7 A fruitful mystery
7.0 The second quantum revolution: from concepts to technology, 7.1 Quantum random numbers generator (QRNG), 7.2 Weak light pulses on a beam-splitter, 7.3 One-photon polarization as a qubit, 7.4 Quantum cryptography: the BB84 QKD scheme, 7.5 The no-cloning theorem, 7.6 Conclusion of the lesson and of Quantum Optics 1
Course: Python Data Analytics
Modules:
Introduction to the Program, Instructor Introduction Video, Approaching Data Analysis with the OSEMN Framework, Why Python for Data Analysis, Jupyter Notebook: Where We Write Our Code, Basics of Using Jupyter Notebook, Using Jupyter Notebook on Coursera, Reviewing Example of a Typical Notebook on Coursera Activity
What Does a Variable Mean in Python?, Variable Types, Working with Types in Python, Reviewing Variables in Python Activity, Lists & Tuples, Reviewing Lists & Tuples Activity, Dictionaries, Reviewing Dictionaries Activity, Booleans in Python, Reviewing Using Booleans Activity, Conditional Statements, Reviewing Using Conditionals Activity
Introduction to Libraries, What is Pandas?, Working with Pandas Series & DataFrames, Reviewing Pandas Activity, Subsets with Pandas, Reviewing Selective Subsets Activity, What is Scrubbing?, Removing Data, Reviewing Removing Data Activity, Modifying Values, Replacing Values, Reviewing Replacing Values Activity
Why Exploration?, Exploring Relates to Scrubbing, Exploration: Basic Statistics, Exploration: Filtering Data, Reviewing Basic Exploration Activity, A Picture is Worth a Thousand Words, Introduction to the Purpose of Visualizations, Types of Exploratory Visualizations: Distributions, Types of Exploratory Visualizations: Category, Types of Exploratory Visualizations: Relationship, Using Pandas and Matplotlib to Create Visualizations, Reviewing Creating Visualizations Activity, Understanding Visualizations for Exploration, Reviewing Exploring with Visualization Activity, Where Aggregations Help Us Understand Data, Working with Groups in Pandas, Reviewing Aggregations Activity
Modeling & Interpreting Data, Overview of Modeling, Modeling with Python, Overview of Interpreting, Interpreting Model Results, Exploratory vs. Explanatory Visualizations, Creating Explanatory Visualizations, OSEMN: Tying It All Together, Reviewing Full OSEMN Activity
Course: Projet de programmation (en Java)
Modules:
Bienvenue !, Installation d'un environnement de développement Java sous Linux (Ubuntu), Installation d'un environnement de développement Java sous MacOS, Installation d'un environnement de développement Java sous Windows, 1.2 Mise en place du projet -- vidéo illustrative, 1.3 Procédure de soumission -- vidéo illustrative, Complément : paramètres de simulation -- vidéo illustrative
03. Environnement et nourriture, 04. Utilisation de l'interface graphique
Complément de cours : Collections et itérateurs
07. Fourmis (1/3), 08. Fourmis (2/3)
09. Fourmis (3/3), 10. Déplacement sensoriel (1/3)
11. Déplacement sensoriel (2/3), 12. Déplacement sensoriel (3/3)
Complément de cours : les énumérations
Course: الشبكات العصبية والتعلم العميق
Modules:
مرحبًا, ما المقصود بالشبكة العصبية؟, التعلم الخاضع للإشراف باستخدام الشبكات العصبية, لماذا ينتشر التعلم العميق بشدة؟, نبذة عن هذه الدورة التدريبية, موارد الدورة التدريبية, مقابلة شخصية مع جيفري هينتون
التصنيف الثنائي, التراجع اللوجيستي, دالة تكلفة التراجع اللوجيستي, الانحدار التدريجي, المشتقات, المزيد من أمثلة المشتقات, مخطط العمليات الحسابية, المشتقات مع مخطط العمليات الحسابية, الانحدار التدريجي للتراجع اللوجيستي, الانحدار التدريجي في أمثلة "m"‏, التوجيه, المزيد من أمثلة التوجيه, توجيه التراجع اللوجيستي, توجيه المخرجات التدريجية للتراجع اللوجيستي, البث في Python, ملاحظة حول متجهات Python / نامبي, ‏جولة سريعة في تطبيقات دفاتر Jupyter/iPython, تفسير دالة تكلفة التراجع اللوجيستي (اختياري)‏, مقابلة شخصية مع بيتر أبيل
نظرة عامة على الشبكات العصبية, تمثيل الشبكة العصبية, حساب مخرجات الشبكة العصبية, التوجيه عبر أمثلة متعددة, شرح التنفيذ الموجه, دوال التنشيط, لماذا تحتاج إلى دوال التنشيط غير الخطية؟, مشتقات دوال التنشيط, الانحدار التدريجي للشبكات العصبية, بديهة الانتشار الخلفي (اختياري)‏, التهيئة العشوائية, مقابلة شخصية مع إيان جودفيلو
شبكة طبقة "L" العميقة العصبية, الانتشار الأمامي في الشبكة العميقة, الحصول على أبعاد المصفوفة بشكل صحيح, لماذا التمثيلات العميقة؟, اللبنات الأساسية للشبكات العصبية العميقة, الانتشار الأمامي والخلفي, المعاملات في مقابل المعاملات المفرطة, ما العلاقة بين ذلك وبين الدماغ؟
Course: Geospatial Information Technology Essentials
Modules:
About the Specialization, About the Course, Introduction to GIS, GIS in Action, Hardware for GIS, GIS Data Models, DEM & TIN Data Products, Attribute Data and Types
Components of Map, Map Types, Basic GIS data conversions, Demo 1:  Conversion of Excel to GIS, Demo 2: Conversion of CAD TO GIS, Demo 3: Downloading and Georeferencing Toposheets, Demo 4: Georeferencing Raster files
GIS Database Management - Overview, Database Basics, RDBMS, SQL, Geodatabase Creation and Configuration, Enterprise Geodatabase
Spatial Analysis, Demo 1: Catchment Area delineation, Demo 2: Overlay Analysis, Demo 3: Cluster Analysis, Demo 4: Hotspot Analysis, Demo 5: Viewshed Analysis
Geospatial IT - An introduction, Introduction to Enterprise GIS & its components, Web App Essentials, Web GIS - An overview, Demo 1 : FAMeVol Web application, Mobile GIS - An overview, Tech Stack for Mobile GIS apps, LMNoP Case Study, Emergency response use cases
System Integrations, Device integration methods, Command & Control Center Case Study, Decision Support System, Progress GIS Case Study, Spatial Dashboards, Role of Open Source, DIY: Open source GIS Web App - Part 1, DIY: Open source GIS Web App - Part 2
Benefits of GeoSpatial Technologies, Benefit Realisation - Case Study 1, Benefit Realisation - Case Study 2, Advancements in Modern Survey & Mapping Technologies - Part 1, Advancements in Modern Survey & Mapping Technologies - Part 2, Advancements in Spatial Analytics - GeoIntelligence - Part 1, Advancements in Spatial Analytics - GeoIntelligence - Part 2, Future Trends, Geospatial Technology - Way Forward
Course: Data Storage in Microsoft Azure
Modules:
Introduction to the course, Lesson introduction, Classify your data, Determine operational needs, Group multiple operations in a transaction, Choose a storage solution on Azure, Lesson summary, Lesson introduction, Decide how many storage accounts you need, Choose your account settings, Choose an account creation tool, Lesson summary
Module introduction, Azure storage services, Interact with the Azure Storage APIs, Connect to your Azure storage account, Module summary
Module introduction, Explore Azure Storage security features, Storage account keys, Shared access signatures, Control network access to a storage account, Advanced threat protection for Azure Storage, Azure Data Lake Storage security features, Module summary
Introduction to Blob storage, What are blobs?, Design a storage organization strategy, Module Summary
Course summary, Course 2 recap, Course wrap up
Course: Expanding SEL
Modules:
Introduction to the Specialization, Course 3 Introduction video, Instructional Introduction - Emily and Ben
Instructional Introduction - Emily
Instructional Introduction - Emily, "Academic Lecture" by Maurice Elias, "Efforts to Implement SEL" by Kimberly Schonert-Reichl
Instructional Introduction - Emily and Ben
Instructional Introduction - Emily and Ben
Course: Effective Strategies for Improving Employee Retention
Modules:
Introduction to the Course & Meet Your Instructor, Understanding the Basics, The State of Retention and Engagement Today, Measuring Retention and Engagement, Engaging Employees Effectively, Utilizing Career Development, The Crucial Role of Management, Recognition and Rewards, Adapting to Hybrid and Remote Work, Addressing Burnout and Mental Health, Innovative Engagement Techniques, Fostering an Inclusive Culture, Congratulations and Continuous Learning Journey
Course: A starter’s guide to Open Science
Modules:
Introduction to Open Science, Interview with Mr. Konstantinos Glinos, Interview with Dr. Georgina Gomez, Interview with Dr. Maria Cruz
Open Access, Interview with Mr. Mans Abrahamson, Interview with Mr. Martijn van der Meer, Interview with Dr. Andrea Tarchi
Open Data, Interview with Dr. Mark Hahnel, Interview with Mr. Robin van Vleuten
Open Materials, Interview with Mr. Paul Kievits, Interview with Dr. Giulia Trentacosti
Preregistration and Registered Reports, Interview with Dr. Tamarinde Haven, Interview with Prof. Eric-Jan Wagenmakers
Open Educational Resources, Interview with Dr. Dimitrios Vlachopoulos
Open Engaged Research, Interview with Dr. Joop Huij, Interview with Mrs. Jovana Paredes
Open Evaluation, Panel discussion with Dr. Bianca Langhout-van den Bulk, Dr. Jeffrey Sweeney, and Dr. Lysanne te Brinke
Course: Essentials of Entrepreneurship: Thinking & Action
Modules:
1.1 Process of Entrepreneurship, 1.2 Risk and Uncertainty
2.1 Feasibility Studies, 2.2 Financial Equation
3.1 Entrepreneurial Skills and Tools, 3.2 Marketing Strategy, 3.3 Human Resources and Operations
4.1 Starting a Business, 4.2 Accounting, 4.3 Systems & Technology
Course: The Learning Innovation Network
Modules:
Designing Learning Innovation
The Learning Innovation Network, Creating the Network, Describing the key actors, The active classroom, The design of activities, Activities for large classrooms, Activities for medium-small classrooms
Contents: typology and narrative structures, Content: format and sources, Focus: Open Educational Resources (part 3), Physical channels, Digital channels, The outside world, Monitoring: the quantitative dimension, Monitoring: the qualitative dimension
Course: Python per la Data Science
Modules:
Video di introduzione al corso, Cosa sono i tensori - Strutture dati in NumPy, Video Recap, Cosa sono i DataFrames - Strutture dati in Pandas, Video Recap, Visualizzare i dati con Matplotlib, Video Recap
Reti neurali feedforward in scikit-learn, Video Recap, Dalle reti neurali al Deep Learning - PyTorch, Video Recap
Reti neurali convoluzionali, Video Recap, Fine-Tuning e Feature Extraction, Video Recap
Object detection in PyTorch, Video Recap, Segmentazione semantica in PyTorch, Video Recap
Esame Finale
Course: O Futuro do trabalho e o novo papel do executivo
Modules:
Introdução: Crie seu futuro, Tema 1: As forças da mudança, Tema 2: Os robôs já estão entre nós, Tema 3: O novo significado de trabalho
Tema 4: Metaverso e realidade virtual, Tema 5: Realidade ampliada com storytelling, Tema 6: A transformação começa com você
Tema 7 – Equipes híbridas, Tema 8 – A liderança disruptiva, além da holacracia, Tema 9 – Profissões do futuro
Tema 10 – Fazendo o seu resumo, Tema 11 – Valorizando a diversidade no futuro do trabalho, Tema 12 – Pensando além das tendências
Course: Call Center Customer Service
Modules:
Introduction: CVS Health Customer Service Professional Certificate, Course Overview: Call Center Customer Service, Introduction to Your Instructor - Cory, Introduction: Introduction to Call Center Customer Service, Introduction: A Day in the Life of a Call Center Customer Service Representative, A Day in the Life of a Call Center Customer Service Representative, Hear from: Cory McLaren, Introduction: Job Roles in a Call Center, Different roles in a Call Center, Introduction: Collaboration, Collaboratively Working with Managers, Applying Collaboration, Introduction: Creating Positive Call Center Customer Experiences, Adding Value: Positive Call Center Customer Experiences, Impacting Customers, Weekly Review: Introduction to Call Center Customer Service
Introduction: Creating Positive Customer Interactions in a Call Center, What is a Greeting, Qualities of a Good Greeting, Positive Impact Tone, Rate of Speech, Controlling Your Pitch, Manage Energy, Applying Tone to Make a Positive Impact, Introduction: Evaluation in a Call Center, Call Duration, Navigating the Queue Metric, Applying Evaluation Metrics, Introduction: Customer Strategy in a Call Center, Strategies for Customer Phone Interactions, Introduction: When to Hand a Customer Off to Another Representative, Hear from: Cory McLaren, How to Successfully Hand Off A Call, Introduction to Simulations, Weekly Review: Creating Positive Customer Interactions in a Call Center
Introduction: Data Entry for a Call Center, Customer Data Overview, Applying Data Entry for a Call Center, Customer Data Privacy, Customer Data Usage, The Importance of Logging Customer Interactions, Summarization Tips, Review of Metrics for Employees, Hear from: Cory McLaren, The Impact of Logging on Metrics, Introduction to Simulations, Weekly Review: Data Entry for a Call Center
Introduction: De-escalation, Escalations in Customer Service, When to Escalate a Call, Introduction to Emotional Regulation, Strategies for Emotional Regulation, Emotional Regulation in Practice, De-escalation Strategies, Applying De-escalation Strategies, Fact-Based Documentation, Fact Based Documentation Strategies, Introduction to the De-escalation Tactics Simulation, Weekly Review: De-escalation
Introduction: Strategies for Success, Elements of an Effective Workspace, Setting Up an Effective Workspace at a Call Center, Setting Up Your Workspace at Home, Time Management, Time Management on a Call, Growth Mindset, Habits for a Growth Mindset, Exploring Growth Mindset Approaches to Customer Support, Collaborative Environments, Characteristics of a Collaborative Environment, Creating a Collaborative Environment, Hear from: Denielle Booth, Introduction to Peer Reviews, Walkthrough of Peer Review Steps, Weekly Review: Strategies for Success, Congratulations!
Course: Business Writing
Modules:
The Effective Communication Specialization, What's So Great About the Capstone?, What is Good Writing?, Be the Windowpane, Waste No Time, Don't Sound Smart; Be Smart, Own Your Ideas, Everyone Needs an Editor; or, the Story of My Failure, Who are you?, Appearance Matters, Looking Your Best, Dave Gives Pointers: Type is the Message, Success!
Organize or Die, Great Writers Are Great Revisers, The Organizational Scaffold You Need for Everything, Quentin, William, and Dave Brainstorm the Memo, Bonus Video: The Basics of Greatness, A Blank Page: Facing the Void, Say it: The Body Paragraphs, Building Out the Scaffold, The Conclusion Concludes
It's Go Time!, The First Paragraph Roadmap, Signposting with Topic Sentences, William on Voicing Writing: How Does it Sound?, Writing a Paragraph, Revising a Paragraph, The Conclusion Concludes (Reprise), Does Good Grammar Matter?, Grammar Blast: I vs. Me, Grammar Blast: Mangled Modifiers, Grammar Blast: Serial or Oxford Comma, Grammar Blast: Pronoun Problems, Grammar Blast: Apostrophe Abuse, Grammar Blast: Your, You're, Their, They're, There, Grammar Blast: That vs. Which
Writing IS Revision, Check Your Scaffold, Keep It Simple, Brevity is the Soul of Wit, Dave on How Logo Design Reflects Brevity and Clarity, Always be Specific; Avoid Generalities and Jargon, The Power of Active Voice, Limit Crutch Verbs, Cut Prepositional Phrases, Don't Repeat Words, Always Proofread, A Word on Email, Long Documents, in Brief, In Conclusion, Time to Design: Dave Takes the Memo
Course: Applications in Engineering Mechanics
Modules:
Course Introduction and Topics, Module 2: Equilibrium Equations – Review from the course “Introduction to Engineering Mechanics”, Module 3: 2-Force Members and Multi-force Members; Introduction to Frames and Machines, Module 4: Frame Structures, Module 5: Machine Structures
Module 6: Introduction - Truss Structures, Module 7: Truss Structures - Method of Joints, Module 8: Truss Structures - Method of Sections, Module 9: Truss Structures - Method of Sections (cont.), Module 10: Truss Structures - Zero Force Members
Module 11: Space Trusses, Module 12: Space Trusses (cont.), Module 13: Space Trusses (cont.), Module 14: Introduction – Shear Force and Bending Moment Diagrams, Module 15: Shear Force Diagrams, Module 16: Bending Moment Diagrams, Module 17: Shear Force and Bending Moment Diagrams – Examples
Module 18: Introduction – Cable Support Systems, Module 19: Cable Support Systems - Concentrated Loads, Module 20: Cable Support Systems - Concentrated Loads (cont.), Module 21: Cable Support Systems - Concentrated Loads (cont.), Module 22: Cable Support Systems – Suspension Loads
Module 23: Introduction – Coulomb Friction, Module 24: Coulomb Friction (cont.), Module 25: Coulomb Friction (cont.), Module 26: Coulomb Friction (cont.), Module 27: Coulomb Friction (cont.), Module 28: Belt Friction, Module 29: Belt Friction - Examples, Module 30: Course Wrap-up
Course: Introduction to Seaweeds
Modules:
Welcome to Introduction to Seaweeds, An Introduction to Seaweeds, What are they?, Diversity of Taxa
Red Seaweeds I, Red Seaweeds II, Brown Seaweeds, Green Seaweeds
Seaweed Ecosystem Services, Seaweeds and Blue Carbon, Seaweeds and Methane Mitigation, Kelp Forest Ecology, Coral Reef Ecology
Emerging Opportunities for Seaweed Aquaculture, Seaweed Farming in Controlled Environments, Sustainability, Nori Farming, Processing, and Future, Kelp Farming , Greenwave, Eucheuma and Kappaphycus farming
Seaweeds in Religion, Mythology and Folklore, Medicinal Seaweeds
History of Seaweed as Food, Seaweed Biorefinery, Phycocolloids, Fucoidan, Health Benefits and gut health
Tissue Culture, Protoplast Fusion
Course: Bring Your Story to Life – Video Post-Production
Modules:
Welcome to Post-Production Scripting, Writing to Visuals, Writing Conversationally, Recording the Voice Over, Recording Your Own Voice
What is NLE? Non-Linear Editing, Adobe Premiere and Certification, Smartphone Editing vs. Computer, Managing Content and Saving Properly, The Workspace, Importing and Sequences
In and Out Points, Basic Editing, Transitions, Editing Guidelines
Building the Rough Cut - The Editing Workflow, Some Challenges with Editing
The Final Cut, Pacing and Rhythm, Can I Use Someone Else's Work?
Essential  Graphics, Designing Graphics
Exporting, Practice, Practice, Practice
Course: Plastic electronics
Modules:
Introduction to plastic electronics, Organic semiconductors
Charge transport, Localisation via polarisation, Localisation by disorder
Optical properties of organic semiconductors, Excitons
Energy levels, Charge carrier injection, More on the current-voltage curve
Organic light-emitting diodes, Organic solar cell, Organic field-effect transistor, More on organic field-effect transistors
Course: Digital Footprint
Modules:
Introduction to the course and week 1 (Nicola Osborne), What is a digital footprint?, The Uncontainable Self - Part 1 (Nicola Osborne), The Uncontainable Self and Professional Identity - Part 2 (Nicola Osborne), Taking Gaming Into Adulthood (Dr Jill MacKay), Who owns your data? - Part 1 (Nicola Osborne), Who Owns Your Data? - Part 2 (Nicola Osborne), Who Owns Your Data? - Part 3 (Nicola Osborne)
Introduction to week 2 (Dr Louise Connelly), Step 2: Zeemap Activity - Review (Dr Louise Connelly), Creating an effective online presence (Dr Louise Connelly), Digital Footprints (Dr Rachel Buchanan), Managing your online presence (Interview with Dr Ben Marder), Tag Review Function, Taking Control Back (Dr Ben Marder), Our Data, Our Rights (Interview with Prof. Lilian Edwards), Death and Privacy (Interview  with Prof. Lilian Edwards), Data after death (Interview with Prof. Lilian Edwards), Privacy Tips 1-6 (Nicola Osborne), Privacy Tips 7-12 (Nicola Osborne), Audience online, time/longevity of data, visibility  (Interview with David Brake), Audience (Interview with David Brake), Time (Interview with David Brake), One piece of advice about managing your digital footprint, What is digital citizenship?, Digital citizenship for educators
Welcome to week 3 (Dr Louise Connelly), Professional networking online (Rebecca Valentine), Recruitment & business (Copil Yanez), Student leaders and online presence (Tanya Lubicz-Nawrocka), Professional bodies (Dr Louise Connelly), E-professionalism & Nursing - Part 1 (Interview with Sharon Levy), E-Professionalism & Nursing - Part 2 (Interview with Sharon Levy), The E-Nurse (Interview with Sharon Levy), Online Academic Presence (Dr Jill MacKay), Academic presence: social sciences - part 1 (Interview with Dr Karen Gregory), Academic presence: social sciences - Part 2 (Interview with Dr Karen Gregory), How social media has been beneficial, One piece of advice about creating a professional online presence
Course: Meditation: A way to achieve your goals in your life
Modules:
Introduction, 1-1. What is the goal of your life?, 1-3. Draw my life graph, 1-5. Human completion, 1-6 Ultimate Purpose of Human Completion, Week 1- Self Reflection Meditation Session
2-1. Inner power recovered through self-reflection: Interview with an scholar in education, 2-2. How much do I know my self, 2-3. Exercise of self-reflection, 2-4. Practice of self-reflection through relationships, 2-5. Practice of self-reflection through myself, 2-6. Practice of self-reflection through emotions of love and hatred, 2-7. Practice of self-reflection through worries, 2-8. Practice of self-reflection through response, 2-9. Your current state & Future you want
3-1. My mind world, 3-2. Human recognition observed by philosophers, 3-3. Human recognition observed by neuroscientists, 3-4. Interview with a neuroscientist, 3-5. Human illusion, 3-6. Principle of mind formation, 3-7. Human mind & Original mind, 3-8. Understanding the reasons why we can't live with free will
4-1. Do you want to change yourself? (1), 4-2. Do you want to change yourself? (2), 4-3. Methodology of mind cleansing, 4-4. Your will for change, 4-5. Repetition of self-reflection - Pride, 4-6. Repetition of self-reflection - Human relationships, 4-7. Repetition of self-reflection - Love, 4-8. Real potential and positive mind
5-1. Self-reflection in ordinary life, 5-2. Stress is the impetus for growth, 5-3. Case study on overcoming the self, 5-4. Mind gravity, 5-5. Health-mind relationship, 5-6. Brain wave changes, 5-7. Meaning of self-reflection and mind cleansing life
6-1. Importance of self-reflection; meditation expert's view, 6-2. Practice of subtraction chronologically, 6-3. Meaning of self-reflection in social aspects through subtraction on relationships, 6-4. Meaning of self-reflection in social aspects through subtraction on communication, 6-5. People at school practicing self-reflection continuously, 6-6. People at the office practicing self-reflection continuously, 6-7. Starting point of peaceful life with wisdom
Course: Faça a venda: crie, lance e gerencie lojas de e-commerce
Modules:
Introdução ao curso 6, Boas-vindas à semana 1, O que é e-commerce?, Os benefícios de vender on-line, Minha carreira no e-commerce, com Henry, Conheça os princípios do e-commerce, O papel de um especialista no e-commerce de nível de entrada em pequenas e grandes empresas, com Jaylin, Pesquisa de mercado, Identifique seu público-alvo, Como realizar uma pesquisa de produto, Sourcing de produtos, Branding no e-commerce, Conclusão
Boas-vindas à semana 2, Visão geral das lojas de e-commerce, Plataformas de e-commerce, Introdução à Shopify, Introdução à criação de uma loja de e-commerce, Como adicionar produtos a uma loja na Shopify, Conclua a criação de uma loja na Shopify, Crie sua conta do Google Merchant Center e conecte-a à Shopify, Como adicionar o Google e outros canais de compras à Shopify, Encerramento
Boas-vindas à semana 3, Anuncie on-line, Anuncie com campanhas do Google Ads, Entenda as campanhas inteligentes, Crie uma campanha inteligente do Google Shopping, Explore a sazonalidade no e-commerce, Use o Google Ads para se planejar para a sazonalidade, Otimize suas estratégias de marketing de e-commerce, Conclusão
Boas-vindas à semana 4, Crie uma experiência on-line envolvente para os clientes, Introdução ao processo de checkout, Razões comuns para o abandono de carrinho, Otimize o site para melhorar as vendas, por Taylor, Leve os produtos aos clientes, Conclusão, Encerramento do curso
Course: Data Analytics Engineering: Probability & Techniques
Modules:
Meet Your Faculty, Course Overview, Python Fundamentals, Control Structures Pt 1, Control Structures Pt 2
List, Tuples, and Arrays, Dictionaries
Introduction to DataFrames, Data Cleaning and Transformation, Data Aggregation
Data Exploration Techniques, Visualization Methods for Pattern Recognition