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  Content Marketing for Audience Growth

  Master content marketing strategies, audience engagement techniques, and practical digital content creation methods to build trust and grow brand visibility online. Learn how businesses use valuable content to attract audiences, strengthen relationships, and support long-term digital marketing success. This course provides a practical introduction to modern content marketing and explains how businesses use content to communicate effectively across digital platforms. You’ll explore the foundations of content marketing, understand its growing importance in digital communication, and learn how valuable and relevant content helps organizations attract and engage audiences. Through structured lessons and practical examples, you’ll examine different content formats including articles, blogs, and digital media while discovering how businesses use these formats to connect with customers and build meaningful engagement. The course also explores practical methods for creating, distributing, and managing content that supports brand visibility and long-term audience relationships. You’ll further learn proven content marketing techniques focused on consistency, audience relevance, and sustainable engagement strategies that improve marketing effectiveness over time. By the end of the course, you’ll be able to confidently analyze content marketing strategies, apply practical content creation methods, and develop effective content marketing approaches that support audience growth and digital marketing success.

  Langue d’origine

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• Technologie

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  Econometrics: Methods and Applications

  Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. * What do I learn? When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. * Do I need prior knowledge? The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam. * What literature can I consult to support my studies? You can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies. * Will there be teaching assistants active to guide me through the course? Staff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises. * How will I get a certificate? To gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments. Have a nice journey into the world of Econometrics! The Econometrics team

  Langue d’origine

  2520 min

  Voir les détails: Econometrics: Methods and Applications
• Technologie

  Débutant

  Synthflow for Beginners: Build a Voice AI Receptionist

  Did you know that voice AI is revolutionizing the way that healthcare practices are managing their front desks? In this engaging 2-hour guided project, you’ll learn to design and deploy an AI-powered dental receptionist using Synthflow. By the end of this course, you will have developed a sophisticated virtual assistant capable of handling client inquiries and scheduling appointments with precision. Throughout this project, you’ll acquire specific skills including configuring a voice agent with custom greetings and voice selection tailored to a dental practice’s identity. You’ll integrate and synchronize calendar services using Cal.com to enable real-time booking capabilities, and you’ll also implement a conversation prompt and knowledge base in Synthflow to manage common dental inquiries effectively. This project is invaluable for tech enthusiasts interested in automating business processes like customer service. No prior experience with Synthflow or Cal.com is needed, although familiarity with basic web concepts might be helpful.

  Langue d’origine

  120 min

  Voir les détails: Synthflow for Beginners: Build a Voice AI Receptionist
• Technologie

  Avancé

  Encoder-Decoder Architecture - 繁體中文

  本課程概要說明解碼器與編碼器的架構，這種強大且常見的機器學習架構適用於序列對序列的任務，例如機器翻譯、文字摘要和回答問題。您將認識編碼器與解碼器架構的主要元件，並瞭解如何訓練及提供這些模型。在對應的研究室逐步操作說明中，您將學習如何從頭開始使用 TensorFlow 寫程式，導入簡單的編碼器與解碼器架構來產生詩詞。

  Langue d’origine

  Voir les détails: Encoder-Decoder Architecture - 繁體中文
• Technologie

  Débutant

  Automated Cyber Security Incident Response

  This course aims to provide participants with a comprehensive understanding of incident response processes and workflows. The course covers various aspects of automating incident response mechanisms, including centralizing and automating operations, scaling the alert management process, and advanced topics such as correlation, impact assessments, and security use cases showcasing the end-to-end lifecycle of an incident. By the end of the course, participants will be able to effectively utilize various tools for incident response, automate the step, and enhance overall security monitoring and management. Target Audience: 1. Cybersecurity analysts: Experts that evaluate security problems, look into hacks, and react to threats. They may automate their incident response procedures with the aid of the course. 2. Individuals who are a part of the organization's incident response team and are in charge of organizing and carrying out responses to security issues. 3. Managers who supervise the organization's IT security and incident response operations and work to put automated incident response techniques in place. 4. Security Operations Centre (SOC) Analysts: SOC analysts who handle incidents, keep track of security alerts, and wish to automate incident response processes. 5. Security Engineers: Engineers interested in incorporating automation into incident response workflows and concentrating on building and implementing security solutions To be successful in this course, you should have background in: 1. Basic Cybersecurity Knowledge 2. Networking Fundamentals 3. Security Incident Fundamentals 4. Operating System Familiarity 5. Security technologies 6. Understanding security policy 7. Knowledge of Risk Management

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  Voir les détails: Automated Cyber Security Incident Response
• Affaires

  Intermédiaire

  Communicate Campaign Updates

  Are your critical campaign updates getting lost in the noise? Do you spend hours writing reports, only to wonder if anyone is reading them? Communicate Campaign Updates: Driving Alignment and Action is an intensive 100-minute course that transforms your stakeholder communication from a routine report into a powerful tool for action. You will master a simple, effective framework for structuring all your updates: lead with performance (KPIs), identify what's in your way (blockers), and clarify how your team can help (asks). Drawing on best practices from project management leaders like Asana, you’ll learn to write with clarity and purpose. But this course goes a step further. You’ll master the complete feedback loop, learning first to design simple, effective surveys, and then to analyze the results and use that data to continuously improve your communication process. You'll walk away with the ability to not only write a world-class update but to build a system that ensures your message always hits the mark.

  Langue d’origine

  105 min

  Voir les détails: Communicate Campaign Updates
• Technologie

  Débutant

  Digital Transformation with Google Cloud

  There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

  Langue d’origine

  120 min

  Voir les détails: Digital Transformation with Google Cloud
• Ingénierie

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  Forages and Pastures

  This course is designed for students with a minimal background in agriculture or plant science who are interested in learning about forage systems. It will introduce the fundamentals of forage system management and species selection and highlight the role of forages in agricultural systems.

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• Affaires

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  Introduction to Agile and Scrum Methodologies

  Agile project management is growing in popularity as a method for delivering value quickly. This course presents the tenets of Agile methodologies using the Scrum framework as a primary example to demonstrate the Agile approaches, their benefits, and challenges. This course is intended for business professionals in a variety of roles who want to learn about Agile methodologies as a prelude to Agile adoption or migration, and for those who work on projects that require more flexibility and adaptability than traditional project management approaches. In this course, you will: identify basic concepts, core values, principles, and methodologies of Agile; address the myths, challenges, and benefits of Agile; define the Scrum methodology of Agile; and execute sprint ceremonies using Scrum tools and techniques.

  Langue d’origine

  Voir les détails: Introduction to Agile and Scrum Methodologies
• Technologie

  Débutant

  Access Control Concepts

  Welcome to course 3 of 5 of this Specialization, Access Control Concepts. In Course 1, we introduced access control concepts. Now, we will take a more detailed look at the types of access control that every information security professional should be familiar with. We will discuss both physical and logical controls and how they are combined to strengthen the overall security of an organization. This is where we describe who gets access to what, why access is necessary, and how that access is managed. After completing this course, the participant will be able to:  Select access controls that are appropriate in a given scenario. - Relate access control concepts and processes to given scenarios. - Compare various physical access controls. - Describe logical access controls. - Practice the terminology of access controls and review concepts of access controls. Agenda Course Introduction Module 1: Key Concepts Module 2: Administrative Controls Module 3: Physical Controls Module 4:Logical Controls Module 5: Controls Review This training is for IT professionals, career changers, college students, recent college graduates, advanced high school students and recent high school graduates looking to start their path toward cybersecurity leadership by taking the Certified in Cybersecurity entry-level exam. There are no prerequisites to take the training or the exam. It is recommended that candidates have basic Information Technology (IT) knowledge. No work experience in cybersecurity or formal education diploma/degree is required.

  Langue d’origine

  270 min

  Voir les détails: Access Control Concepts
• Technologie

  Intermédiaire

  AWS Developer: Unit 4

  This course covers key AWS services and tools, focusing on container orchestration, testing environments, and deployment strategies. You'll learn to use container services like Amazon ECS, ECR, and EKS to manage containerized applications. Explore testing and development with AWS CodeBuild, API Gateway, and Lambda, gaining skills in unit testing, API simulation, and function version management. Understand automated deployment testing, including CI/CD pipelines and API Gateway stages, for reliable deployments. Additionally, learn to prepare application artifacts with AWS CloudFormation, Systems Manager, and AppConfig, managing configurations and secrets securely. By the end of this course, you'll be able to use AWS services to improve your development workflow

  Langue d’origine

  256 min

  Voir les détails: AWS Developer: Unit 4
• Technologie

  Débutant

  Auto Machine Learning (AutoML) Using AutoGluon

  Hello everyone and welcome to this new hands-on project on AutoML with AutoGluon. In this project, we will use a power library known as AutoGluon to train several machine learning models to solve classification type problems. AutoGluon is the library behind Amazon web services autopilot, and it allows for quick prototyping of several powerful models using a few lines of code. You can add this project to your portfolio of projects which is essential for your next job interview.

  Langue d’origine

  120 min

  Voir les détails: Auto Machine Learning (AutoML) Using AutoGluon