The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Analyzing and Visualizing Data the Google Way
This learning experience guides you through the process of utilizing various data sources and multiple Google Cloud products (including BigQuery and Google Sheets using Connected Sheets) to analyze, visualize, and interpret data to answer specific questions and share insights with key decision makers.
Howard University
Fundamentals of Business Problem Solving
This course introduces how to classify data and create models used to solve business models. Learners will use Solver to create expressions to find optimal paths for business problems.
Coursera
Optimize GenAI Performance: Monitor, Measure, Maintain
Ready to master the operational backbone that keeps enterprise GenAI systems performing at peak efficiency? This course transforms you into a GenAI performance optimization expert, equipped with the critical monitoring and measurement skills that distinguish world-class AI operations teams. This Short Course was created to help Machine Learning and AI professionals accomplish systematic GenAI performance optimization through advanced monitoring, measurement, and maintenance strategies. By completing this course, you'll be able to fine-tune alert systems to eliminate noise while maintaining service reliability, design integrated dashboards that reveal the hidden connections between user experience and backend performance, and master comprehensive system health assessment using the three pillars of observability. These skills translate immediately to reduced downtime, faster incident response, and data-driven optimization decisions. By the end of this course, you will be able to: Evaluate alert thresholds to balance alert noise and service level adherence. Create performance baseline dashboards that correlate user experience with backend KPIs. Evaluate system observability using logs, metrics, and distributed tracing. This course is unique because it focuses specifically on GenAI system performance challenges, combining traditional observability practices with AI-specific monitoring requirements through hands-on OpenTelemetry implementations. To be successful in this project, you should have a background in machine learning systems, application monitoring concepts, and distributed system architecture.
Coursera
Sales Analysis with Claude
In today’s dynamic sales environment, AI isn’t just a trend—it’s a critical tool for success. This course will teach you how to harness Claude AI to enhance every stage of your sales process, from crafting data-driven strategies and personalizing customer interactions to analyzing sales data and optimizing the customer journey. By integrating AI with your sales expertise, you'll boost your performance, streamline your workflows, and stay ahead of market trends. Whether you’re new to AI or looking to refine your skills, this course offers practical, actionable insights that will elevate your sales game and help you close deals faster and smarter. This course is designed for a diverse group of sales professionals, including Sales Executives, Sales Managers, Sales Leaders, Business Development Representatives (BDRs), Sales Development Representatives (SDRs), Inside Sales Representatives, and Customer Success Managers. Whether you're at the beginning of your sales career or looking to advance your expertise, this course will provide valuable insights into integrating Claude AI into your sales strategy. Participants should have a foundational understanding of the sales process, including prospecting, qualification, proposal, objection handling, negotiation, and closing. Familiarity with sales CRM tools such as Salesforce or SugarCRM is also required. By the end of this course, participants will be able to Explain how AI-generated market insights can be used to develop data-driven sales strategies, enhancing overall strategic decision-making. Analyze customer profiles and pain points using AI to create personalized and effective sales communications that resonate with individual clients. Evaluate complex sales data to extract actionable insights and predict future trends, improving forecasting and planning efforts. Design and optimize customer journey maps with AI, enhancing touchpoints throughout the sales cycle for a more streamlined and engaging customer experience.
EDUCBA
Build Interactive Bank Pages Using JavaScript
By the end of this course, learners will be able to apply core JavaScript concepts to build an interactive Bank Customer Page, manipulate web page elements using the DOM, implement transaction logic, handle user-driven events, and complete an end-to-end client-side application workflow. This course provides hands-on, project-based learning through a real-world JavaScript case study focused on banking scenarios. Learners will move beyond theory to actively build functionality such as customer identification, form input handling, button-based actions, and transaction processing. Each module progressively develops practical skills, ensuring learners understand not just what JavaScript does, but how and why it is used in real applications. What makes this course unique is its structured case-study approach, which mirrors industry-style problem solving without relying on frameworks or backend systems. This allows learners to strengthen their JavaScript fundamentals while gaining confidence in building complete, functional web pages. Ideal for beginners and early-career developers, the course equips learners with job-relevant skills applicable to web development, frontend roles, and interactive application design.
Coursera
Transforming Data in R
In this 1-hour long project-based course, you will learn how to pivot data into wide and long format, split and combine cells and columns, handling missing values, select groups of observations and variables, and join data from different tables. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Coursera
Audit Readiness, Payment Controls, and SAP Transactions
Build essential skills for supporting financial audits and managing accounting operations in modern business environments. You'll develop competency in audit evidence collection, internal control verification, and enterprise resource planning (ERP) system operations. This integrated approach prepares you for real-world accounting assistant roles where technical proficiency meets compliance requirements. Through hands-on projects, you'll create professional audit documentation packages, verify payment controls according to industry standards, and execute standard transactions in SAP systems. These skills directly support financial auditing processes and demonstrate your readiness for entry-level accounting positions in organizations using enterprise software. The course combines foundational accounting knowledge with practical system skills, reflecting the modern accounting workplace where professionals must navigate both compliance frameworks and digital tools. You'll gain experience with documentation standards, control procedures, and system operations that employers actively seek in accounting support roles.
Johns Hopkins University
Machine Learning and Emerging Technologies in Cybersecurity
The course "Machine Learning and Emerging Technologies in Cybersecurity" offers an in-depth exploration of machine learning applications in cybersecurity, focusing on techniques for threat detection and prevention. Participants will gain a solid grounding in machine learning fundamentals, including neural networks, clustering, and support vector machines, tailored specifically for cybersecurity contexts. Unique to this course is the integration of machine learning with Intrusion Detection Systems (IDS), equipping learners with practical skills to enhance threat detection capabilities. Additionally, the course examines Tor networking, providing insights into secure and anonymous communication systems, as well as the critical role of IDS within Cyber Security Incident Response Teams (CSIRTs) in enterprise environments. By the end of the course, learners will not only understand how to apply advanced machine learning techniques but also be proficient in tools like RapidMiner and Security Onion. This blend of theory and hands-on application ensures that participants leave with the skills needed to tackle real-world cybersecurity challenges effectively, making this course a vital resource for those looking to advance their careers in cybersecurity and data science.
EDUCBA
MAYA Architecture - Setting Up Interior Floor Map
This comprehensive course guides learners through the entire process of creating detailed 3D architectural models using Autodesk Maya. Starting with the fundamentals of importing 2D floor plans and building accurate wall structures, learners will master essential polygon modeling techniques including vertex alignment, edge loops, and face extrusion. The course progresses to crafting detailed architectural elements such as window and door frames, balconies, kitchens, and common areas, focusing on both structural accuracy and aesthetic quality. Finally, learners will refine their models by adding realistic fixtures—wooden frames, sliding doors, window grills—enhancing functionality and visual appeal. Designed for aspiring architectural visualizers and 3D modelers, this course equips you with practical skills to translate floor plans into fully realized, detailed 3D apartment layouts ready for rendering and presentation.
University of Alberta
Fundamentals of Reinforcement Learning
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making. This course introduces you to the fundamentals of Reinforcement Learning. When you finish this course, you will: - Formalize problems as Markov Decision Processes - Understand basic exploration methods and the exploration/exploitation tradeoff - Understand value functions, as a general-purpose tool for optimal decision-making - Know how to implement dynamic programming as an efficient solution approach to an industrial control problem This course teaches you the key concepts of Reinforcement Learning, underlying classic and modern algorithms in RL. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP. This is the first course of the Reinforcement Learning Specialization.
Packt
Lean Six Sigma - Yellow Belt
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. Gain a competitive edge by mastering the Lean Six Sigma Yellow Belt methodology, designed to streamline processes, reduce waste, and improve efficiency. In this course, you'll learn the foundational principles of Lean and Six Sigma, exploring their combined power to enhance critical thinking and elevate project outcomes. With actionable strategies, you'll gain skills to drive measurable improvements in any process. The course begins with an introduction to Lean Six Sigma, covering its history, key terms, and essential concepts. You'll dive deep into identifying waste and defects using tools like TIM WOODS and explore the powerful PDCA and DMAIC frameworks. Each phase of DMAIC is meticulously broken down to equip you with practical tools, such as SIPOC diagrams, benchmarking techniques, and the Seven Tools of Quality. You’ll then explore advanced strategies for analyzing data, piloting solutions, and maintaining control post-implementation. Special emphasis is placed on real-world applications, including buy-in strategies to ensure successful Lean Six Sigma adoption within organizations. This course is perfect for professionals eager to optimize their workflows, including IT specialists, project managers, and business analysts. No prior experience in Lean Six Sigma is required, making this beginner-friendly course an ideal starting point for your process improvement journey.
ESSEC Business School
Les Fondamentaux de la Négociation
Ce cours vous donne accès aux outils pratiques de négociation et aux bonnes pratiques rassemblés par le Professeur Aurélien Colson et son équipe dans près de 80 pays et dans un large éventail de secteurs, services, industries, hautes technologies ou organisations publiques. De manière interactive, ce cours vous aidera, entre autres choses : se préparer à toute négociation; éviter les pièges; savoir comment susciter des partenariats créateurs de valeur; structurer une séquence de négociation efficace; négocier d'une manière efficace et respectueuse; surmonter les blocages; et bien plus! En effet, la négociation ne consiste pas simplement à décider qui obtient quoi maintenant - il s'agit avant tout de créer des partenariats productifs, équitables et donc à long terme. Ce cours vous guide à travers des approches innovantes et éprouvées - "gagnant-gagnant ... mais pas à n'importe quel prix". Ce cours vous mènera vers des négociations à fort impact et durables à tous les niveaux, qu'il s'agisse de trouver des solutions aux problèmes de gestion des personnes, de conclure un accord de vente ou de conclure des négociations stratégiques de haut niveau impliquant les parties prenantes.
MedCerts
Mental Health Development, Difficulties, and Disorders
The Mental Health Development, Difficulties, and Disorders course delves into the critical stages of human development and associated challenges across the lifespan through three lessons at a beginner level. In the Childhood Development, Difficulties, and Disorders lesson, students explore the foundational stages of childhood development, key milestones, and common developmental difficulties. This lesson covers a range of childhood disorders, offering insights into early identification and intervention strategies to support optimal growth and well-being. In the second lesson, Adolescent Development, Difficulties, and Disorders, students examine the complex transition from childhood to adulthood, focusing on the developmental, emotional, and psychological challenges unique to adolescence. The final lesson covers Adult Development, Challenges, Disorders, and Aging. This lesson guides students to investigate ongoing changes and challenges experienced throughout adulthood, including psychological and physical aspects of aging. In this course, students will gain a deep understanding of developmental stages, difficulties, and disorders to enhance their practice and support individuals across the lifespan.
École Polytechnique Fédérale de Lausanne
L'art des structures 1 : Câbles et arcs
L'art des structures propose une découverte du fonctionnement des structures porteuses, telles que les bâtiments, les toitures ou les ponts. Ce cours présente les principes du dimensionnement et les structures en câbles et en arcs. Un deuxième cours présente les structures en treillis, en poutres et en cadres. Après avoir suivi ce cours, vous serez capable d'identifier les structures en câble, en arc et en arc et câble. Vous pourrez déterminer les efforts dans les éléments de structure principaux et procéder au choix de leurs dimensions en fonction du matériau de construction choisi. Votre maîtrise des constructions de statique graphique ainsi que de l'applet de calcul i-Cremona vous permettra de comparer diverses solutions et de choisir la forme la plus appropriée pour un type de structure donné. De manière générale, vous pourrez, en observant les structures autour de vous, reconnaître leur mode de fonctionnement, expliquer le choix de leurs dimensions et de leurs proportions.
Coursera
Stock Valuation with Dividend Discount Model
In this 1-hour long project-based course, you will learn how to find dividend growth rate and cost of equity, and use that to find the fair price of a share. This will teach you how to value stocks using Dividend Discount Model (DDM) - one of the most common methods equity research analysts use to value stocks. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions. This course's content is not intended to be investment advice and does not constitute an offer to perform any operations in the regulated or unregulated financial market.
Starweaver
Data Storytelling for Investors and Financial Advisors
In today’s data-driven financial landscape, effective advisors and investors go beyond analysis—they transform data into stories that inspire action. This course introduces practical techniques to translate complex financial insights into clear, engaging narratives that strengthen client communication and decision-making. You’ll learn how to structure financial stories, design impactful data visualizations, and use tools like Python and Sankey diagrams to present insights with clarity and influence. Designed for financial advisors, investment mentors, quantitative analysts, and individual investors, the course is ideal for professionals who want to complement financial analysis with persuasive storytelling. Learners should have a basic understanding of investment principles, data analysis, and visualization, with some experience using Python and generative AI tools. By the end, you’ll be equipped to craft compelling, data-driven financial stories that engage clients, differentiate your services, and drive better investment outcomes.