The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Alfaisal University | KLD
التوازن بين القدرات والتوقعات في بناء الذات
يضع الوالدان أحياناً سقفاً مرتفعاً لتوقعاتهم من أبنائهم بما قد لا يتفق مع القدرات العقلية للأبناء، وتكون النتيجة شعور الأبناء بالإحباط لعدم قدرتهم على تحقيق تلك التوقعات ومن ثم الفشل في حياتهم، لذلك يجب وضع سقف توقعات للغير يتفق ويتوازن مع مستوى قدراتهم العقلية. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بفهم التوازن بين القدرات والتوقعات في بناء الذات، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم التفكير النقدي والتخطيط للمستقبل، استعراض الخطوات الإجرائية لتحقيق التوازن بين التوقعات والقدرات، إدراك الفهم الحقيقي لقدراتك العقلية، توضيح العلاقة بين الشعور بالإحباط ووضع سقف توقعات مرتفع.
University of Washington
Social Media Data Analytics
Learner Outcomes: After taking this course, you will be able to: - Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. - Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. - Analyze unstructured data - primarily textual comments - for sentiments expressed in them. - Use different tools for collecting, analyzing, and exploring social media data for research and development purposes. Sample Learner Story: Data analyst wanting to leverage social media data. Isabella is a Data Analyst working as a consultant for a multinational corporation. She has experience working with Web analysis tools as well as marketing data. She wants to now expand into social media arena, trying to leverage the vast amounts of data available through various social media channels. Specifically, she wants to see how their clients, partners, and competitors view their products/services and talk about them. She hopes to build a new workflow of data analytics that incorporates traditional data processing using Web and marketing tools, as well as newer methods of using social media data. Sample Job Roles requiring these skills: - Social Media Analyst - Web Analyst - Data Analyst - Marketing and Public Relations Final Project Deliverable/ Artifact: The course will have a series of small assignments or mini-projects that involve data collection, analysis, and presentation involving various social media sources using the techniques learned in the class. The course was developed by Dr. Chirag Shah while he was a faculty member at Rutgers University. He is currently a faculty member at University of Washington.
Coursera
Probabilistic Graphical Models: A Compact Introduction
Probabilistic graphical models are widely used in medical diagnosis, fault detection, and risk prediction systems where calibrated probabilistic reasoning is critical for decision support. This Short Course was created to help Machine Learning and Artificial Intelligence professionals accomplish building robust inference systems that handle uncertainty with mathematical rigor. By completing this course, you'll master the foundational representations and algorithms that power recommendation engines, diagnostic systems, and causal inference applications across industries. By the end of this course, you will be able to: Apply conditional independence principles to construct Bayesian and Markov network representations for a given real-world problem statement, Analyze variable-elimination and belief-propagation outputs to compute marginal probabilities and identify computational bottlenecks in small networks, and Evaluate the trade-offs between exact and sampling-based inference methods to recommend an approach suitable for a network's size and sparsity. This course is unique because it combines theoretical foundations with hands-on Python implementation using pgmpy and pomegranate, providing both mathematical understanding and practical coding experience. To be successful in this project, you should have a background in probability theory, basic graph theory, and Python programming.
Universiteit Leiden
Population Health: Syndemics
Do you wish to contribute to breaking cycles of ill-health in disadvantaged populations? And explore co-occurrence of diseases, such as substance abuse, infectious and chronic disease, and the relation with social factors (disparities)? Are you disappointed in the poor effectiveness of interventions for combined social and medical problems? Then this syndemics course might provide you with some answers. In medicine, diseases are generally approached as distinct entities, in isolation from other diseases ánd the social contexts in which the disease occurs. However, in disadvantaged populations accumulations of risk factors intertwine with complex social problems leading to excessive burdens of disease and interventions with poor effectiveness. For that reason, alternative approaches are needed that do not separate diseases from the contexts of inequality and health disparity in which they develop. The simultaneous presence of more than one disease is not treated as co-morbidity; a syndemic approach pays attention to the forces that tie afflictions together. This course will learn you about the concept of syndemcs and how to explore these combined medical and social problems. It will cover different research methods (quantitative, qualitative and mixed-method research) that can be used in studying syndemics.
Johns Hopkins University
Introduction to AI for Cybersecurity
In "Introduction to AI for Cybersecurity," you'll gain foundational knowledge of how artificial intelligence (AI) is transforming the field of cybersecurity. This course covers key AI techniques and how they can be applied to enhance security measures, detect threats, and secure digital systems. Learners will explore hands-on implementations of AI models using tools like Jupyter Notebooks, allowing them to detect spam, phishing emails, and secure user authentication using biometric solutions. What makes this course unique is its focus on real-world applications, blending AI theory with practical skills relevant to today's cybersecurity challenges. By the end of the course, you'll have developed the ability to use AI to address cyber threats such as email fraud and fake logins, and will be equipped with practical skills to protect digital assets in a rapidly evolving technological landscape. Whether you're a cybersecurity professional or someone seeking to expand your skills in AI, this course provides a critical understanding of how AI can be leveraged to mitigate security risks and keep systems secure.
CertNexus
Build Regression, Classification, and Clustering Models
In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from. You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that provides value to the business. This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Ultimately, this course begins a technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models.
University of California, Davis
Qualitative Research
In this course, the second in the Market Research Specialization, you will go in-depth with qualitative market research methods, from design to implementation to analysis. Week 1: Define qualitative research and how it differs from quantitative research. Explore the various qualitative research methods and evaluate when and how to use them for your research project. Week 2: Design the qualitative instruments necessary for your interviews or focus groups, and plan your recruitment efforts. Write questions and prompts to ask in an interview or focus group. Design a moderator guide and a screening questionnaire to use when recruiting your participants. Week 3: Recruit participants for your focus group and apply techniques to ensure they show up and participate. Act as a moderator during your focus group and apply strategies to handle various types of situations. Probe responses and engage participants in a group discussion, while collecting qualitative data and keep the discussion moving. Week 4: Organize and analyze the data you have collected. Transcribe the audio from your focus group or interview and interpret your notes. Write a focus group report that can be presented to your stakeholders and see how this information might relate to your quantitative research. Take Qualitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the first course in this specialization, Research Report: Initiating Research, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.
EDUCBA
Apply SPSS Fundamentals for Data Analysis
Learners will be able to navigate the SPSS interface, manage datasets, perform basic statistical analysis, transform data, create visualizations, and use built-in support tools confidently. This course equips beginners with the essential skills required to work effectively with SPSS through a structured, hands-on, and menu-driven approach. Designed specifically for beginners, this course introduces SPSS step by step, starting with interface orientation and graphical user interface navigation before progressing to core menus such as File, Edit, View, Analyze, Transform, Graphs, Utilities, and Help. Learners gain practical exposure to managing data, running statistical procedures, modifying variables, and visualizing results without requiring prior programming or statistical expertise. What makes this course unique is its strong focus on usability and real-world workflow. Instead of overwhelming learners with theory or syntax, the course emphasizes understanding SPSS menus, dialog boxes, and tools exactly as they are used in practice. Clear explanations, guided demonstrations, and logical progression ensure learners build confidence quickly. By the end of the course, learners will be well prepared to use SPSS for academic, professional, or personal data analysis tasks, forming a solid foundation for advanced statistical learning.
Arizona State University
总计划案 Final Project
对于国际工作环境不熟悉的商务专业人士，普遍需要的能力是能写发表新产品的行动方案。在这工作实务，有一人必须和公司内的各不同的部门沟通，包括财务和营销部。在这总计划案，你将写一份发表新产品的行动方案。这计划将包含: ● 项目现况报告 ● 营销活动 ● 项目的基本预算分析报告 ● 对管理阶层做项目阶段简报 这项目将提供机会让你应用本课程你所学的英语技能，提升你目前工作所要求的有用文件，或是用一份文件来当作范例，可呈现出你的新能力和技能。 A common necessity among business professionals who are new to an international work environment is the ability to create a plan of action to launch a new product. In this task, one has to communicate with many different departments within a company including finance and marketing. In this capstone project, you will create a plan of action to launch a new product. This plan will include: · A project status report · A copy of the marketing campaign · A basic budget analysis for the project · A short presentation for upper management with details on the project’s status This project will give you the opportunity to apply your English skills learned in the courses to develop a useful document for your current job or a document that you could use as an example to demonstrate your new abilities and skills.
Simplilearn
Requirement Gathering and Analysis with GenAI Training
This beginner-friendly course explores how Generative AI transforms requirement gathering, analysis, and prioritization in software development. Learn the core processes to capture, structure, and refine user needs into actionable use cases using GenAI-powered tools like Notion AI and Hugging Face Transformers. Gain hands-on experience creating smart questionnaires, generating multilingual requirements, and crafting Software Requirement Specifications (SRS). Understand how GenAI enhances requirement classification, simplifies complex scenarios, and prioritizes customer feedback to drive maximum impact. Real-world demos, including healthcare and enterprise use cases, bring concepts to life. No prior AI knowledge is required. Basic understanding of software projects or business analysis is recommended. By the end of this course, you will be able to: - Capture and structure user requirements with GenAI tools - Generate use cases, user stories, and SRS documents - Prioritize feedback and requirements using Hugging Face - Streamline requirement workflows and improve project clarity Ideal for business analysts, project managers, and product owners.
EDUCBA
Implement Hand Gesture Recognition with OpenCV
Learners will be able to implement real-time hand gesture recognition systems, apply OpenCV-based image processing techniques, develop robust hand segmentation logic, and automate browser actions using gesture-driven control. This course is designed to help learners progress from foundational computer vision concepts to a fully functional, end-to-end gesture-controlled application. Throughout the course, learners gain practical experience setting up the development environment, preprocessing image data, performing contour and convex hull analysis, and refining segmentation for accuracy and consistency. The course emphasizes modular coding practices, execution flow management, and gesture validation to ensure reliable real-world performance. By integrating gesture recognition with browser automation, learners see how computer vision can be applied to interactive and automation-driven use cases. What makes this course unique is its project-centric approach: every concept is implemented directly within a single, cohesive OpenCV project rather than isolated examples. Learners finish the course with a complete, demonstrable application that showcases both technical depth and applied problem-solving skills. This course is ideal for learners seeking hands-on experience in computer vision, OpenCV projects, and human–computer interaction using Python.
ESSEC Business School
Negotiation Fundamentals
This course gives you access to negotiation practical tools and best practices gathered by Professor Aurélien Colson & his team from assignments in more than seventy countries and in a wide set of sectors, be they services, industry, high tech, or public organizations. In an interactive manner, this course will help you, among other topics: get prepared for any negotiation; avoid traps; know how to prompt value-creating partnerships; structure an effective negotiation sequence; bargain in an efficient and respectful manner; overcome deadlocks; and much more! Indeed, negotiation is not simply about deciding who gets what now – it is first and foremost about creating productive, fair, and therefore long-term partnerships. This course guides you through innovative and proven approaches – “win-win…but not at any price”. Together with its specialization, this course will lead you towards high impact and sustainable negotiations at all levels, whether finding solutions to people management issues, sealing a deal on a sales package, or entering into high-level strategic or political negotiations involving multi-party stakeholders.
Arm
Arm Cortex-M Processors Overview
This course is designed for anyone wishing to learn about the range of Cortex-M processors and the different resources that can help you with your Cortex-M project. The course begins with a bit of history about Arm processors and the Arm architecture, covering the differences between the M-profile and other architecture profiles like A-profile and R-profile. This course is suitable for beginners or people without an engineering or computer science background. The introductory material also sets the scene for the courses 2, 3 and 4.
LearnKartS
Cloud and AWS Basics
Want to secure a career in cloud computing? This Cloud and AWS Basics is the ideal starting place. This course, designed for beginners and aligned with the AWS Certified Solutions Architect - Associate exam, will expose you to the key principles, services, and security best practices of Amazon Web Services (AWS), the world's most extensively utilized cloud platform. First, you'll learn the basics of the cloud, what you need to know, and how to set it up. Then look into AWS-specific things like global infrastructure, support plans, and prices. Find out how to compare AWS to other major platforms, such as Google Cloud and Microsoft Azure. Get hands-on experience with AWS Identity and Access Management (IAM) by configuring users, groups, roles, writing IAM rules, and managing real-world access controls. You will also use IAM on EC2 instances and investigate use cases that improve cloud security. By the end of this course, you will be able to effectively traverse AWS, protect your cloud environments, and start preparing for certification. Enroll today and start your cloud journey. Disclaimer: This course is not affiliated with or endorsed by Amazon Web Services (AWS). ‘AWS’ and ‘Amazon Web Services’ are trademarks of Amazon.com, Inc. or its affiliates.
Packt
The Complete DeFi—Decentralized Finance—Industry Labs
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course will immerse you in the world of decentralized finance (DeFi) and blockchain, helping you build foundational knowledge of these transformative technologies. You'll explore blockchain technology, from the basics to the latest advancements, and how it connects to DeFi applications like lending, borrowing, and stablecoins. By mastering the underlying infrastructure of DeFi, you'll gain insights into the potential of decentralized applications (DApps) and smart contracts. Throughout this course, you'll be guided through the architecture of Polygon and other layer 2 solutions, which enable more efficient and scalable blockchain transactions. We dive deep into key DeFi concepts, including NFTs, tokens, stablecoins, and decentralized exchanges (DEXs). This course will empower you to create and deploy your own decentralized finance applications using Polygon’s architecture and Ethereum-based smart contracts. Learn by doing with hands-on labs, which cover smart contract deployments, tokenomics, and DApp functionalities. By the end of this course, you will be able to navigate DeFi projects, deploy smart contracts, and leverage decentralized exchanges and finance protocols with confidence. This course is designed for anyone looking to master DeFi and blockchain technologies. It’s ideal for finance, tech, and software development professionals, as well as enthusiasts who have a basic understanding of blockchain concepts. Whether you’re aiming to advance your career or launch your own DeFi project, this course will equip you with the skills and knowledge needed to succeed.
Google Cloud
Google Cloud-Grundlagen: Kerninfrastruktur
In „Google Cloud-Grundlagen: Kerninfrastruktur“ werden wichtige Konzepte und die Terminologie für die Arbeit mit Google Cloud vorgestellt. In Videos und praxisorientierten Labs werden viele Computing- und Speicherdienste von Google Cloud sowie wichtige Tools für die Ressourcen- und Richtlinienverwaltung präsentiert und miteinander verglichen.