The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Macquarie University
Storytelling und Einflussnahme: effektive Kommunikation
Eine ambitionierte Vision für die Zukunft Ihres Unternehmens reicht nicht aus. Wie kommunizieren Sie diese Vision, um Ihre Kollegen an Bord zu holen? Die Fähigkeit, effektiv zu kommunizieren und andere zu überzeugen, ist eine wesentliche Führungskompetenz. Herkömmliche Kommunikationsmodelle und Überzeugungsstrategien vernachlässigen oftmals, dass das Beeinflussen anderer eine komplexe Angelegenheit ist. Durch strukturierte Lernaktivitäten (Videolektionen, Tests, Diskussionsanregungen und schriftliche Prüfungen) entwickeln Sie in diesem Kurs Ihre Fähigkeit weiter, in verschiedenen Situationen und kulturellen Zusammenhängen angemessen zu kommunizieren und so zu einer einflussreichen Führungspersönlichkeit zu werden.
Google Cloud
Entity and Sentiment Analysis with the Natural Language API
This is a self-paced lab that takes place in the Google Cloud console. The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
EDUCBA
XHTML - Tables and Forms
This course empowers learners to construct, integrate, and organize structured content using XHTML, focusing on the essential building blocks of modern web design—lists, tables, hyperlinks, images, and forms. By combining syntax mastery with practical use cases, learners will progressively apply semantic tags and layout principles to create clean, accessible, and functional XHTML pages. Spanning four logically sequenced modules, the course begins by laying a solid foundation in list structures and progressively expands into advanced techniques such as row/column spanning in tables, hyperlink design patterns, media integration, and interactive form development. Through targeted video content, quizzes, and practice tasks aligned with Bloom’s Taxonomy, learners will demonstrate, differentiate, and implement key XHTML structures confidently. By the end of this course, learners will be able to: Identify and construct semantically correct list structures using XHTML tags. Design well-structured and accessible tables with advanced formatting features. Implement various types of hyperlinks and media elements with proper XHTML syntax. Develop interactive forms using appropriate input controls, layout, and validation techniques. Ideal for web design beginners, educators, or developers transitioning into structured markup languages, this course offers the foundational XHTML skills necessary to build static web pages that are both technically sound and semantically meaningful.
Google
Connect and Protect: Networks and Network Security
This course provides a brief introduction to network architecture, operations, intrusion tactics, and security hardening. Learners will also be introduced to common network protocols and how systems use the TCP/IP model to communicate within a network. Learners will gain an understanding of network level vulnerabilities and how to secure a network against those vulnerabilities. Network security topics will include firewalls, virtual private networks (VPNs), system hardening, and virtual private networks. By the end of this course, you will: - Describe the structure of different computer networks. - Illustrate how data is sent and received over a network. - Recognize common network protocols. - Identify common network security measures and protocols. - Explain how to secure a network against intrusion tactics. - Compare and contrast local networks to cloud computing. - Explain the different types of system hardening techniques.
Whizlabs
AWS: Managed AI Services
AWS: Managed AI Services is the fifth course in the Exam Prep (MLA-C01): AWS Certified Machine Learning Engineer – Associate Specialization. This course is designed to help learners leverage powerful pre-trained AI services offered by AWS to accelerate the development of intelligent applications — without the need to build or train ML models from scratch. Through a practical, service-based approach, learners will explore AWS offerings for natural language understanding, speech processing, computer vision, personalized recommendations, intelligent search, and human-in-the-loop workflows. These services allow developers, data engineers, and ML practitioners to embed intelligence into applications at scale with minimal ML expertise. With real-world examples, this course demonstrates how to use services like Amazon Comprehend, Rekognition, Polly, Textract, Transcribe, Personalize, Kendra, and A2I (Augmented AI) to deliver business value through managed AI capabilities. This course is structured into two major modules, each containing focused lessons and guided walkthroughs. Learners will gain approximately 2.5 to 3 hours of hands-on video content, supported by Graded and Ungraded Quizzes to assess conceptual understanding and real-world application. Module 1: Natural Language, Speech & Vision AI Services on AWS Module 2: Intelligent Search, Personalization & Human-in-the-Loop AI By the end of this course, learners will be able to: Understand how AWS Managed AI Services solve common AI use cases without custom model development Integrate services for NLP, speech, and computer vision into applications Build personalized experiences and intelligent search solutions using Amazon Personalize and Kendra Incorporate human review using Amazon A2I for critical workflows requiring oversight This course is ideal for cloud developers, solution architects, data engineers, and ML beginners who want to integrate powerful AI capabilities without training models. It’s also tailored for learners preparing for the MLA-C01 certification, especially those aiming to master the application of AWS’s fully managed AI services in real-world use cases.
EDUCBA
Regression & Logistic Models in Excel & Minitab
By the end of this course, learners will be able to apply advanced regression techniques, interpret outputs, diagnose model issues, and implement logistic regression for real-world business applications. They will also master statistical tools in Excel and Minitab, enabling them to perform t-tests, ANOVA, correlation, and predictive modeling with confidence. This course equips learners with both theoretical understanding and hands-on practice in predictive analytics. Through practical datasets, scatterplots, and business-focused case studies, learners will gain the ability to transform raw data into actionable insights. They will develop critical skills in identifying predictor significance, handling multicollinearity, and generating accurate regression equations. What makes this course unique is its balance of applied examples, rigorous diagnostics, and practical tool demonstrations. From consumer purchase analysis to business decision-making scenarios, learners will see how regression techniques directly support strategic outcomes. By completing this course, learners will be prepared to evaluate data-driven models, interpret complex statistical outputs, and apply regression analysis to solve real-world challenges.
Coursera
Build Power BI Insights
Transform your project management reporting with the power of integrated analytics! This Short Course was created to help project management professionals accomplish unified visibility across project delivery and financial performance. By completing this course, you'll be able to create sophisticated dashboards that merge Asana data with financial metrics, enabling data-driven decision making and process optimization. By the end of this course, you will be able to: Build Power BI dashboards integrating Asana and financial data Present insights effectively to stakeholders Recommend process improvements based on data trends This course is unique because it combines project management tools with business intelligence to create actionable reporting solutions. To be successful in this course, you should have a background in basic project management concepts and familiarity with data visualization tools.
IIMA - IIM Ahmedabad
Happiness Skills
In a recent study of about 0.4 million individuals across 71 countries, it was found that close to 27 percent of people globally face mental health problems, and stress is said to be a major contributor to such problems. In India, the percentage is close to 30 percent. Surprisingly, more people in the UK, Australia, South Africa, and Brazil face mental distress than in India. This course is intended as a guide for individuals to manage themselves better, be emotionally stable, in touch with their inner selves, and be happy. Building on evidence from psychology and neuroscience, the course directly ties in with the immense need to help individuals build the capacity for harmony, emotional stability, and a sense of meaning in their lives. The course uses mindfulness as the fundamental building block of self-discovery and self-awareness. One of the unique aspects of this course is that it integrates ideas presented in research as well as the famous Indian wisdom storehouses such as the Upanishads, the Bhagavad Gita, the Yoga sutras, and the Dhammapada. The course aims to help participants learn lessons in the realms of values, self-management, health, emotional control, and authentic living – crucial elements of a happy and meaningful life.
Vanderbilt University
Online Games: Literature, New Media, and Narrative
Intended for both newcomers who are curious about video games and experienced gamers who want to reflect on their passion, this course will explore what happens to stories, paintings, and films when they become the basis of massively multiplayer online games. The Lord of the Rings trilogy—the novels, films, and video game—are our central example of how “remediation” transforms familiar stories as they move across media. The course is designed as a university-level English literature class—a multi-genre, multimedia tour of how literature, film, and games engage in the basic human activity of storytelling. Our journey will enable us to learn something about narrative theory, introduce us to some key topics in media studies and cover some of the history and theory of video games. It will also take us to some landmarks of romance literature, the neverending story that lies behind most fantasy games: J.R.R. Tolkien’s The Fellowship of the Ring, a bit of Edmund Spenser’s Faerie Queene, and poems by Keats, Tennyson, Browning, and others. Drawing on centuries of romance narrative conventions, the twenty-first century gaming industry has become a creative and economic powerhouse. It engages the talents of some of our brightest writers, artists, composers, computer engineers, game theorists, video producers, and marketing professionals, and in 2012, it generated an estimated $64 billion in revenue. Anyone interested in today’s culture needs to be conversant with the ways this new medium is altering our understanding of stories. Join me as we set out on an intellectual adventure, the quest to discover the cultural heritage of online games.
Packt
AWS Data Processing and Analysis
Updated in May 2025. This course now 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 course takes you through the complete process of data handling, starting with AWS data processing services. You’ll begin with AWS Lambda, learning how to integrate serverless functions and manage scalable data pipelines. With practical exercises, you’ll explore how AWS Glue helps automate data preparation and manage complex ETL jobs, making data lake partitioning and modification of Glue Data Catalog easy to understand. Hands-on experience with Glue Studio and DataBrew will further enhance your knowledge in preparing data for analysis. The course also delves into processing large datasets using Amazon EMR, where you’ll work with Apache Spark, Hive, and other tools in the Hadoop ecosystem. You’ll learn to optimize data processing with EMR, partition and store data efficiently, and integrate it with AWS services like Kinesis and Redshift. Exercises in Apache Spark will show you how to analyze data streams and deliver actionable insights in real time. Lastly, you'll focus on the analysis aspect using services like Kinesis Analytics, OpenSearch, and Athena. The course will guide you through setting up advanced analytics using Kinesis, creating real-time monitoring applications, and visualizing data using OpenSearch and QuickSight. By the end of this course, you’ll be well-equipped to build, process, and analyze data pipelines at scale using AWS’s powerful tools. This course is ideal for data engineers, IT professionals, and data analysts aiming to leverage AWS for data processing and analysis. Some familiarity with AWS services is recommended.
SkillUp
Networking and Migration in Azure
This course is a part of the AZ-305 Designing Microsoft Azure Infrastructure Solutions Exam Prep Specialization and provides an overview of networking and migration in Azure. It is designed to equip you with the skills and knowledge required to identify, analyze, and address the networking requirements in cloud environments. You will also learn about key networking concepts, business requirements, performance considerations, and data migration requirements. By the end of this course, you will be able to: • Identify and analyze the networking needs of an organization. • Define key networking concepts and requirements based on business objectives. • Discuss dependencies, performance considerations, and data migration requirements. • Explain the importance of implementing logging and monitoring solutions for network traffic analysis. This course integrates videos, hands-on labs, quizzes, discussion prompts, and a final peer review assignment for a holistic learning experience. The course is suitable for network administrators, IT professionals, system architects, and individuals responsible for designing, implementing, and managing network infrastructure, especially in cloud environments.
University of Colorado System
Linear Kalman Filter Deep Dive (and Target Tracking)
As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the standard assumptions. Applies this understanding to enhancing the robustness of the filter and to extend to applications including prediction and smoothing. Shows how to implement a target-tracking application in Octave code using an interacting multiple-model Kalman filter.
Google Cloud
Introduction to Generative AI - 简体中文
这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
Niel Asher Education
Fundamentals of Fire Cupping
By the end of this course, you will (1) perform safe and effective fire cupping techniques and (2) understand the physiological and energetic effects behind them. Led by Dr. Constance Bradley, L.Ac., this course blends traditional Chinese Medicine principles with modern safety protocols to help practitioners confidently integrate cupping therapy into practice. Through detailed video demonstrations, learners master setup, application, and post-treatment care while gaining insight into tissue response, circulation, and detoxification mechanisms. The course stands out for its combination of classical knowledge and contemporary evidence, emphasizing both the energetic and clinical foundations of cupping. Graduates will leave ready to apply fire cupping responsibly for pain management, muscle recovery, and overall wellness.
Edureka
Infrastructure as Code and Monitoring
This course offers a clear pathway to developing skills in Infrastructure as Code (IaC) and modern monitoring using tools like Terraform, AWS CloudFormation, Prometheus, and Grafana. You'll learn to automate infrastructure provisioning and implement scalable monitoring solutions that enhance system reliability, reduce manual effort, and support modern DevOps practices. Whether you're building cloud infrastructure or tracking system health in real time, this course equips you with the tools and workflows critical to modern DevOps and cloud-native environments. Through hands-on exercises and real-world scenarios, you'll gain the skills to manage cloud resources through code, monitor critical system metrics, and build resilient infrastructure capable of adapting to change. By the end of this course, you will be able to: • Explain the core concepts and benefits of Infrastructure as Code • Provision and manage infrastructure using Terraform and CloudFormation • Implement modular, scalable, and secure infrastructure automation • Collect and analyze system metrics using Prometheus • Visualize performance data and set up alerts using Grafana This course is ideal for DevOps practitioners, system administrators, cloud engineers, and developers aiming to enhance their automation and observability skills in modern infrastructure environments. A basic understanding of DevOps foundation and AWS is recommended. Join us to learn how automation and intelligent monitoring can help you build efficient, reliable, and scalable infrastructure for today's dynamic software environments.
University of Washington
Machine Learning: Clustering & Retrieval
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover? In this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval. In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA). You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce. Learning Outcomes: By the end of this course, you will be able to: -Create a document retrieval system using k-nearest neighbors. -Identify various similarity metrics for text data. -Reduce computations in k-nearest neighbor search by using KD-trees. -Produce approximate nearest neighbors using locality sensitive hashing. -Compare and contrast supervised and unsupervised learning tasks. -Cluster documents by topic using k-means. -Describe how to parallelize k-means using MapReduce. -Examine probabilistic clustering approaches using mixtures models. -Fit a mixture of Gaussian model using expectation maximization (EM). -Perform mixed membership modeling using latent Dirichlet allocation (LDA). -Describe the steps of a Gibbs sampler and how to use its output to draw inferences. -Compare and contrast initialization techniques for non-convex optimization objectives. -Implement these techniques in Python.