The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Colorado Boulder
Algorithms for Searching, Sorting, and Indexing
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
University of Glasgow
Music Composition: Starting a Piece
This course shares insights into the process of composing music, all with the aim of developing your skills and confidence as a composer. You might be a musician looking to take your composition skills to the next level, or you might be a teacher in a secondary school searching for new techniques to share with your own students. You might already have a developed working knowledge of tonality, in which case, we will complement that knowledge by introducing alternative scales and chord structures. We’ll be focussing on everything involved in writing for live acoustic instruments, using some form of notation. We’ll look at ways to push the boundaries of traditional notation, as well as introducing alternative approaches, such as graphic notation and indeterminacy. We’ll explore ways to maximise the effects you can create using instruments as well as to expand your rhythmic palette. A feature of the course will be to introduce the concept of gesture as a key tool in your working method. It also presents ways to tap into your imagination as part of your process which has the potential to transform the way that you compose. Musical examples are brought to life in this course in performances by Scotland’s foremost contemporary music ensemble, Red Note Ensemble.
LearnKartS
GCP Security and Networking
This course delves into the critical aspects of securing and optimizing networking environments within the Google Cloud Platform (GCP). Whether you're a system administrator, network engineer, or cloud architect, understanding GCP's security and networking features is essential for maintaining robust and reliable cloud infrastructures. This course requires a fundamental understanding of cloud computing concepts and basic familiarity with Google Cloud Platform services. By the end of this course, you will be able to: - Learn to implement and manage GCP networking components such as Virtual Private Clouds (VPCs), subnets, and routing configurations effectively. - Explore advanced networking features like load balancing, CDN integration, and hybrid connectivity options for seamless integration with on-premises environments. - Master the deployment and configuration of security features such as firewall rules, encryption mechanisms, and security policies within GCP. - Develop skills to monitor, troubleshoot, and optimize GCP security and networking setups to enhance performance and resilience. This course is designed with comprehensive video lectures, hands-on demos, and practical assignments to ensure a thorough grasp of GCP security and networking concepts. Disclaimer: This course is not affiliated with or endorsed by Google Cloud. ‘Google Cloud’ and ‘GCP’ are trademarks of Google LLC.
Coursera
Govern and Evaluate Research Data Quality
This course builds data governance and quality management capabilities for research professionals. Learners will develop skills in applying metadata tagging for effective data governance and evaluating data quality against defined standards. Through practical application, learners will build the technical capabilities needed to implement robust data management practices that ensure information integrity and accessibility.
Coursera
Optimize AI Inference Speed & Accuracy
Production ML models failing your latency targets? Learn how to make them run 3-5x faster without losing accuracy. This course helps ML engineers and data scientists optimize neural network inference for real-world deployment—across mobile, edge, and cloud environments. If you face slow model inference, high infrastructure costs, or deployment constraints, this course provides practical solutions. You'll master profiling techniques to identify performance bottlenecks, apply quantization to cut precision requirements, and make smart trade-offs between speed, accuracy, and resource constraints. You'll learn to benchmark optimization techniques and select the right approach for deployment scenarios. You'll explore inference profiling and metrics, pruning strategies, and quantization methods. You'll practice with real-world cases—from streaming platforms to autonomous vehicles—using industry-standard tools like PyTorch Profiler, TensorRT, and pruning utilities. This course is ideal for machine learning engineers, data scientists, and AI practitioners who are deploying or optimizing models in production. It’s also valuable for MLOps professionals and system engineers responsible for performance tuning in resource-constrained environments (e.g., mobile, embedded, or cloud inference systems). Learners should have a good grasp of Python and basic experience with PyTorch or TensorFlow. Familiarity with machine learning concepts, such as model training and evaluation, is expected. Understanding how neural networks work and basic performance metrics like latency and accuracy will help you get the most from this course. By the end of this course, you’ll confidently optimize production models, cut inference costs, meet latency goals, and deploy ML systems that scale efficiently.
Coursera
Optimize Sales with AI E-commerce Analytics
Optimize Sales with AI E-commerce Analytics helps new digital marketers use AI and analytics to improve online sales. You’ll learn to enhance Shopify product listings with location-based optimization and analyze channel performance using Shopify and Google Analytics 4. Through practical videos, readings, and hands-on labs, you’ll apply what you learn to real e-commerce scenarios. By the end, you’ll know how to create AI-powered product content, track results, and make data-driven marketing decisions that boost sales.
Johns Hopkins University
Advanced Data Visualization with R
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the third in the Specialization "Data Visualization and Dashboarding in R." Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.
Keller Williams
The Principles of Real Estate
This course is the first in a series of five courses designed to equip you with the knowledge and skills for achieving a successful career in real estate. In the Principles of Real Estate course, you will discover the day-to-day tasks of a real estate agent and how those tasks translate into successfully closed real estate transactions. You will also learn how a real estate agent gets paid, finds homes to sell, and identifies prospective buyers. Additionally, you will learn the importance of establishing and maintaining relationships that can impact a real estate business. By the end of this course, you'll be able to explain how real estate agents: 1. Define their job tasks and duties. 2. Receive payment for real estate services. 3. Identify and prioritize day-to-day tasks. 4. Analyze, interpret, and reframe market data and communicate its story to potential clients. 5. Generate leads through a variety of methods to grow their business. 6. Build, use and manage a database.
Fundação Lemann
Gestão para a Aprendizagem: Módulo Gestão Estratégica
O curso Gestão para a Aprendizagem: Módulo Gestão Estratégica aborda uma nova concepção de gestão escolar focada na aprendizagem dos alunos e nas dimensões de trabalho do gestor visando o sucesso escolar, com foco na rede pública. O cerne do curso é o planejamento estratégico e os instrumentos práticos, tais como a caracterização da comunidade escolar, a avaliação de eficácia, a análise SWOT e o plano de ação.
Goldman Sachs
Fundamentos de Gerenciamento com o 10,000 Women da Goldman Sachs
Este curso online gratuito é um dos 10 cursos disponíveis na coleção 10,000 Women da Goldman Sachs, projetado para empreendedoras prontas para levar seus negócios para o próximo nível. Este curso foca no recurso mais crítico para o crescimento de sua empresa – seus funcionários. Entender sobre a gestão de recursos humanos abrange uma variedade de tópicos, desde o recrutamento e seleção de funcionários, até a gestão de desempenho e treinamento e desenvolvimento dos mesmos. Você planejará como desenvolver a equipe necessária para alcançar sua visão para o seu negócio, enquanto promove uma forte cultura organizacional que apoia o crescimento da sua empresa. Ao final deste curso, você terá alinhado sua visão com sua estrutura organizacional, considerando quando é benéfico terceirizar ou delegar tarefas e projetos, e como isso se reflete na gestão de desempenho de seu negócio. Para ajudá-la a se preparar para este curso, você pode querer fazer um dos outros cursos do programa 10,000 Women da Goldman Sachs: ‘Fundamentos de Liderança’, no qual você desenvolverá uma Declaração de Visão e examinará seu estilo de liderança. A coleção de cursos 10,000 Women oferece uma experiência de aprendizagem online verdadeiramente flexível. Você tem a liberdade de abordar o programa da maneira que for melhor para você -– faça qualquer curso, ou combinação de cursos, para adaptar sua jornada de aprendizado às necessidades individuais de crescimento de seus negócios. Se você optar por fazer todos os 10 cursos, você irá explorar todos os elementos-chave do seu negócio e desenvolver um plano completo para o crescimento do mesmo. Você pode descobrir mais sobre a coleção 10,000 Women da Goldman Sachs nas páginas FAQs.
Packt
Amazon S3 Deep Dive – Complete AWS Cloud Storage Guide
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. Mastering Amazon S3 is essential for anyone looking to harness the power of cloud storage on AWS. This course guides you step-by-step through Amazon S3’s capabilities, helping you manage and optimize data storage with precision. By the end of the course, you will have a deep understanding of S3 storage classes, pricing, security, and performance optimization. The course starts with an overview of Amazon S3, including its features and the basics of buckets and objects. You will learn how to navigate the AWS Console and CLI, create your first bucket, and explore the various S3 storage classes, including Standard, Glacier, and Intelligent Tiering. You'll also dive into advanced techniques, such as lifecycle management, encryption, and securing your data. As the course progresses, you will delve into how to secure access to your S3 data using IAM, bucket policies, and encryption techniques. You will also discover how to optimize S3 performance using features like CloudFront and Transfer Acceleration. The course culminates in cost management strategies, showing you how to reduce costs and maximize the efficiency of your S3 storage solution. This course is perfect for cloud engineers, IT professionals, and anyone looking to deepen their expertise in AWS storage. No prior knowledge of AWS is required, but familiarity with basic cloud concepts will help.
Coursera
Obsidian for Beginners: Journal and Track Tasks
In this 1.5-hour guided, project-based course, you will learn the basics of using Obsidian, a powerful and flexible note-taking application, for journaling. We will do this by taking on the role of a Marketing Manager at a mid-sized tech startup, utilizing Obsidian's Daily Notes feature for efficient journaling, task tracking, and project management. Through a practical, hands-on scenario, you will build a personalized system for tracking daily tasks, documenting insights from meetings, and reflecting on progress and challenges in a marketing project. You will learn how to effectively use daily notes, links and backlinks, tags, search queries and graph view to journal daily, link your daily notes to ongoing projects, and review your tasks and reflections for insights. By the end of this project, you will have a fully functional setup in Obsidian to streamline your daily journaling and enhance your personal productivity. This is an intermediate project-based course which should take approximately 1.5 hours to finish. Throughout the course, you will learn how to sync shared vaults for the training team, enable and configure plugins to facilitate collaboration, create interactive and collaborative visuals using Excalidraw to design curriculum structures and program plans, manage task assignments, deadlines, and progress using the Daily Note, Tasks and Kanban plugins. Track task progress and assignment using Dataview, ensuring tasks are assigned correctly and deadlines are met. This course is aimed at learners who are looking to implement Obsidian as a customizable solution for project management and team collaboration. There are no specific prerequisites, but a basic understanding of Obsidian will be helpful. Please note Obsidian requires a paid business license if used for business, specifically for revenue-generating or work-related activities within a for‑profit organization that has two or more employees. Check details and FAQ on https://obsidian.md/pricing for more information. Please note Obsidian requires a paid business license if used business, specifically for revenue-generating or work-related activities within a for‑profit organization that has two or more employees. Check details and FAQ on https://obsidian.md/pricing for more information. Please note Obsidian requires a paid business license if used business, specifically for revenue-generating or work-related activities within a for‑profit organization that has two or more employees. Check details and FAQ on https://obsidian.md/pricing for more information. This course is ideal for learners who want to get started with Obsidian for personal or professional use. No prior experience with Obsidian is required, and any competent computer user can successfully complete this project. Please note Obsidian requires a paid business license if used business, specifically for revenue-generating or work-related activities within a for‑profit organization that has two or more employees. Check details and FAQ on https://obsidian.md/pricing for more information.
Packt
Becoming a Linux Server Admin
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 equip you with the skills and knowledge to manage and administer Linux servers effectively. Through in-depth modules, you'll learn how to install, secure, and configure various server components such as Apache, DNS, DHCP, and database servers. By the end of this course, you'll be confident in managing critical server operations, monitoring performance, and optimizing server security. The journey begins with understanding the basics of Linux server administration, followed by installing and configuring essential services such as SSH, system logging, and networking. You’ll dive into advanced topics like hardening your Linux server, configuring firewalls, and using various tools to enhance system security and monitoring. The course culminates in configuring multiple server types, including web servers, file servers, and database servers, ensuring you're ready to handle diverse server environments. This course is designed for learners looking to build foundational and advanced Linux server administration skills. No prior Linux experience is required, but basic knowledge of computing and networking will be helpful. By the end of the course, you’ll have the expertise needed to become a confident Linux server administrator.
Packt
Data Visualization for Beginners with Python & Power BI
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. Mastering data visualization is a crucial skill in today’s data-driven world, and this course will help you unlock that potential. By learning both Python and Power BI, you’ll gain the ability to create impactful visualizations using the most popular tools in data science. You'll work with libraries like Matplotlib, Seaborn, and Plotly, and discover how these libraries can be used to build everything from line charts to interactive scatter plots. Simultaneously, you will also learn Power BI fundamentals, including importing and transforming data, creating dynamic models, and building interactive reports. The course is divided into two primary sections: one focusing on Python’s data visualization libraries, and the other on Power BI. You’ll start by mastering the core Python libraries, Matplotlib and Seaborn, before progressing to Plotly for interactive charts. In parallel, you will dive into Power BI, exploring Power Query fundamentals and data modeling techniques, followed by a deep dive into data visualization and publishing reports. By engaging in both Python and Power BI, you'll build comprehensive skills in data analysis and visualization that complement each other. This course is perfect for beginners who want to explore data visualization. If you are looking to enhance your skills in data science, business intelligence, or data-driven decision-making, this is the course for you. While no prior experience in Python or Power BI is required, familiarity with basic data concepts will be beneficial. This course is designed to take you from foundational knowledge to advanced skills in data visualization. By the end of the course, you will be able to create interactive and static visualizations in Python and Power BI, perform advanced data transformations, design interactive reports, and analyze complex datasets to extract valuable insights.
Pontificia Universidad Católica del Perú
Finanzas para todos
Este un curso teórico práctico que brinda a los estudiantes los conocimientos contables básicos para elaborar y analizar los principales estados financieros de una empresa para tomar decisiones estratégicas de inversión, financiamiento o gestión. Asimismo, está divido en cuatro módulos de aprendizaje de seis horas cada uno. En el primer módulo se tocan los principales conceptos contables básicos y se conocen los principales estados financieros que tiene una empresa. En el segundo y tercer módulo aprenderemos a elaborar los estados financieros y finalmente en el cuarto módulo se desarrollan y analizan los principales ratios financieros para evaluar la liquidez, solvencia, rentabilidad y gestión de la empresa
EDUCBA
Unreal Engine: Design Game HUD, Menus & States
This course provides a hands-on, project-based journey into creating professional game interfaces and flow systems using Unreal Engine. Learners will begin by designing HUD elements, player stats, and scoring systems, then move into configuring interactive menus, start animations, and camera transitions. Building on this, students will implement level complete flows, game over states, and responsive button interactions that ensure smooth player navigation. The course concludes with final gameplay refinements, where learners optimize character movement, fix menu animations, and integrate pause menus with quit and resume functionality. By mastering these skills, students will be able to design, implement, and refine game states, menus, and HUD systems that elevate player experience and game polish. This course is ideal for aspiring Unreal Engine developers who want to analyze, configure, and integrate interactive UI systems while applying Bloom’s Taxonomy-driven learning outcomes such as designing, implementing, refining, and optimizing.