The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more! 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.
Google Cloud
Getting Started with Neo4J Enterprise on Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will load data from a Google Cloud Storage Bucket to Neo4j then explore the data using the Neo4J browser and Cypher query language
Coursera
Analyze Activation to Boost Retention
Unlock sustainable product growth by mastering the critical connection between user activation and long-term retention. This course empowers you with advanced analytical techniques to segment activation metrics by acquisition channel and validate their predictive power through rigorous statistical correlation analysis. You'll learn to calculate channel-specific activation rates that reveal which sources deliver truly engaged users, then prove these relationships through Pearson correlation analysis and statistical significance testing. By completing this course, you'll confidently identify the "aha-moment" behaviors that predict user success, make evidence-based marketing budget recommendations, and build retention prediction models that guide product strategy. You'll transform from reporting generic activation percentages to providing strategic intelligence that optimizes both acquisition spending and product development priorities. This course is unique because it connects early user behavior patterns to long-term business outcomes through statistical rigor, enabling you to move from observational analysis to predictive product optimization that drives measurable growth. To be successful in this course, you should have experience with data analysis, understanding of user metrics, and familiarity with statistical concepts.
L&T EduTech
FPGA Architecture Based System for Industrial Application
The course "FPGA Architecture Based System for Industrial Application Using Vivado" is a comprehensive program that focuses on the design and implementation of FPGA-based VLSI systems for industrial applications. Participants will gain practical knowledge and hands-on experience in utilizing Xilinx Vivado software with Artix 7 FPGA boards to develop digital arithmetics, integrate sensors and motors, implement communication protocols, and create IoT applications. By the end of this course, you will be able to: • Understand the architecture and features of Artix 7 FPGA boards. • Install and utilize Xilinx Vivado software for FPGA projects. • Design and implement digital arithmetics including LEDs, adders, buzzer, and pushbuttons using VHDL on FPGA boards. • Integrate sensors such as accelerometers, gesture recognition sensors, and ultrasonic sensors with FPGAs. • Interface motors like stepper motors and DC motors with FPGA kits. • Implement communication protocols including RS232, I2C, and SPI for data exchange. • Develop IoT applications for remote monitoring and control using FPGA technology. • Analyze RTL schematics and configure constraint files for FPGA-based designs. • Validate hardware logic and functionality through simulation and real-time implementation. • Demonstrate proficiency in designing complex VLSI systems for industrial use cases.
Skillshare
Figma UI UX Design Essentials Pt.3: Prototypes & Handoff
In Part 3 of the Figma UI UX Design Essentials series, with Daniel Scott as your instructor, you’ll bring your designs to life through interactive prototypes and learn how to prepare your work for seamless developer handoff. This course focuses on building real-world UX workflows—teaching you how to create engaging animations, smart transitions, and micro interactions that elevate your user experience. You’ll also learn how to share and collaborate with stakeholders, developers, and clients, using Figma’s built-in tools for comments, version history, and developer inspection. Dan walks you through advanced techniques like interactive components, flow mapping, and using Figma for responsive design—all in an easy-to-follow, project-driven format. By the end of this course, you’ll not only be able to build high-fidelity prototypes, but you’ll also understand how to hand off your work professionally. Whether you're preparing for a UX design role or building your freelance portfolio, this final installment will help you move from a capable designer to a confident, job-ready pro. Instructor bio: Daniel Walter Scott is a digital designer, Adobe Certified Instructor, and founder of Bring Your Own Laptop (BYOL). With over 14 years of teaching experience, he has helped thousands of learners worldwide master design and creative software across print, web, video, and now 3D. Daniel is an Adobe Certified Expert and Adobe Certified Instructor who combines industry expertise with a teaching style that’s practical, engaging, and memorable. Originally from New Zealand, Daniel has lived and taught across Australia, Ireland, and beyond—sharing his skills with a truly global creative community. He’s passionate about helping students build real-world skills they can carry into their careers and creative projects. When he’s not teaching, Daniel enjoys life with his Irish wife and kids. He brings this personal, down-to-earth perspective into his courses, making complex tools feel approachable and fun to learn.
Stanford University
Probabilistic Graphical Models 1: Representation
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. This course is the first in a sequence of three. It describes the two basic PGM representations: Bayesian Networks, which rely on a directed graph; and Markov networks, which use an undirected graph. The course discusses both the theoretical properties of these representations as well as their use in practice. The (highly recommended) honors track contains several hands-on assignments on how to represent some real-world problems. The course also presents some important extensions beyond the basic PGM representation, which allow more complex models to be encoded compactly.
Coursera
YouTube Design: Banners & Profile Pics
Strong visuals aren’t just cosmetic—they’re critical for attracting clicks, growing your audience, and reinforcing your brand on YouTube. In this course, you’ll learn how to design effective thumbnails, banners, and channel icons. Discover the psychology behind high-performing thumbnails, how to stay within YouTube’s technical specifications, and how to build visual consistency across your channel. You’ll walk away with professional-looking assets that make a strong first impression and boost viewer engagement.
Illinois Tech
Managerial Economics: Buyer and Seller Behavior
Why are markets commonly believed to be the best way of allocating resources and organizing economic activity? This course will answer this critical question while examining its implications for pricing, market entry and exit, short-term and long-term business strategies, and the forecasting of key market variables. The course introduces fundamental topics in the economic analysis of markets, and some of the analytical tools used to study them, as a means to build an economic intuition and fostering an understanding of a variety of market conditions and market forces. After taking this course, you will be able to: - Explain the basics of supply and demand curves. - Characterize variable and fixed costs. - Identify short-run and long-run market exit prices. - Construct short-run and long-run supply curves. - Construct demand curves. - Identify short-run and long-run equilibria in competitive markets. - Predict short-run and long-run market prices. - Interpret a market price path. - Explain firm entry, exit, and profitability in competitive markets. Software requirements: None
Packt
Cloud Operations and Troubleshooting
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. Take control of your cloud environment with this essential course on Cloud Operations and Troubleshooting. Learn to manage, monitor, and maintain operational excellence in the cloud, while mastering troubleshooting techniques to resolve issues efficiently. With a blend of theoretical insights and hands-on demonstrations, this course ensures you are well-equipped to tackle the challenges of modern cloud systems. The course begins by exploring centralized logging, monitoring, and operational management. You’ll gain insights into creating dashboards, patching, and upgrading systems, along with learning automation and orchestration techniques to optimize workflows. Interactive demonstrations using Azure provide a practical understanding of backup, restore operations, and disaster recovery planning. In the second half, the focus shifts to cloud troubleshooting, where you’ll adopt a methodical approach to solving security, deployment, connectivity, and performance issues. Using scenario-based learning, you’ll develop the confidence to resolve complex problems, from automation challenges to disaster recovery scenarios. Each concept is reinforced through real-world demos and actionable techniques. This course is ideal for cloud administrators, IT support engineers, and DevOps professionals seeking to refine their cloud management skills. Designed for intermediate learners, prior experience with cloud platforms like Azure and basic IT knowledge is recommended. Take the next step in ensuring your cloud environments run seamlessly and efficiently.
Dell
Dell Technologies Establishing Your Sales Strategy
This course is designed to enhance your sales skills and deepen your understanding of IT concepts. This course will teach you to identify and demonstrate effective strategies for qualifying opportunities, ensuring you can recognize and pursue the most promising leads. You will learn the sequence and significance of each stage of the sales process, enabling you to navigate sales cycles with confidence. Understanding buyer types and motivations is crucial, and you will craft probing questions tailored to each buyer type. You will develop a mindset for building trust, learning the factors that contribute to credibility and the consequences of lacking it. Building rapport is essential, and you will identify the five key areas for establishing strong connections with customers. You will also learn strategies for delivering compelling insights to the right contacts within customer organizations. Finally, you will gain knowledge of key technologies and understand ways to leverage this knowledge to find solutions for your customers. This course is designed for anyone with an interest in a career in IT sales. No previous experience is necessary. By the end of this course, you will be able to: Use knowledge of buyer types and motivations to craft probing questions appropriate for each buyer type. Describe the sequence and significance of each stage of the sales process. Identify and demonstrate effective strategies for qualifying opportunities. Identify strategies for conveying insights to the right contact within the customer organization in a compelling manner. Identify the five key areas for establishing rapport. Identify the factors that are key for establishing credibility & trust with customers. Describe the relationship between software and external hardware in the functioning of an enterprise solutions. Describe key data center technologies. Recall the various types of questions they can ask, the value of each type and the natural order of asking. Discuss, define, and practice probing and drill-down questioning to uncover further important customer information.
Yonsei University
Valuation and Financial Analysis For Startups Capstone
This is a peer review course. In the capstone project, you are going to apply what you have learned in the previous courses. The final output from this project is an estimation of a firm. You can choose either a public company or a startup depending on the availability of information on the firm. If you have your own startup, then you can do this capstone project on the startup. If not, then you can do this project of a public company. Therefore, the first step is selecting an actual company that you are interested in. Next, you have to do the research on and describe the firm’s industry and business. Based on your research, you make an estimate of firm’s growth, cash flows and earnings. In order to do this, you need to apply what you have learned in financial statement analysis. Once you find firm’s cash flows and earnings, you can apply what you have learned in discounted cash flow method and multiple methods to find the value of the company. In addition to the valuation, you will be given a hypothetical project and have to decide whether to take the project if the opportunity is given to the company of your choice. Be doing this Capstone project, you will complete your understanding of valuation and financial analysis of startups.
Packt
Learn REST API Automation Using REST Assured
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 introduces you to REST Assured, a powerful Java library for automating REST API testing. Beginning with the fundamentals, you'll learn what APIs are, the differences between REST and SOAP, and how to interact with APIs using HTTP methods. The course then dives into the essentials of REST Assured setup and key API testing methods like GET, POST, PUT, and DELETE. You'll also explore how to validate JSON and XML responses and work with status codes. As you advance through the course, you'll gain hands-on experience in handling request parameters, headers, and cookies. A dedicated section on authentication covers techniques like OAuth and basic auth, ensuring that you're equipped to work with secure APIs. Moreover, you’ll learn how to validate JSON and XML schemas, ensuring your APIs meet specific structural requirements. In the final part, the course expands into API mocking using WireMock, teaching you how to virtualize web services and run tests without relying on live environments. By the end, you'll be well-versed in both REST Assured and testing best practices, ready to apply your knowledge to real-world projects. This course is designed for the QE automation engineer, Selenium WebDriver automation aspirant, manual testing professional willing to jumpstart their automation career, and QTP/UFT professional wanting to switch to API automation as per testing market demand. Basic knowledge of Core Java is required for quick understanding.
University of California, Davis
Creating Dashboards and Storytelling with Tableau
In this course, you’ll learn how to create Tableau dashboards that connect data to decision-making. Starting with stakeholder planning and data requirements, you’ll define goals, success metrics, and key questions. Then, you’ll clean and prepare a real-world tech salary dataset using Tableau’s filtering, aliasing, and data type tools. You’ll turn these insights into impactful dashboards using calculated fields, grouping, and interactivity. Finally, you’ll explore how to interpret and present dashboards effectively through Socratic dialogue—critiquing design choices, analyzing KPIs, and refining your data story. By the end, you’ll be able to deliver dashboards that are insightful, persuasive, and tailored to audience needs.
Coursera
Architect and Scale Robust Multi-Cloud AI Systems
Are you ready to architect AI systems that scale globally while maintaining peak performance? This course empowers you to master the critical infrastructure decisions that separate successful AI deployments from costly failures. This Short Course was created to help ML and AI professionals accomplish systematic multi-cloud architecture design for enterprise AI systems. By completing this course, you'll be able to make data-driven infrastructure decisions across AWS, Azure, and GCP, design systems that automatically scale under demand, and create production-ready architecture blueprints that ensure security, reliability, and cost-effectiveness from day one. By the end of this course, you will be able to: • Analyze workload patterns to select optimal compute, storage, and networking services across multi-cloud environments • Evaluate system architectures for scalability bottlenecks and failover capabilities using systematic assessment frameworks • Create comprehensive reference architecture diagrams incorporating security zones, CI/CD pipelines, and observability stacks This course is unique because it combines real-world multi-cloud decision frameworks with hands-on architecture design, using authentic enterprise scenarios and proven methodologies from leading technology companies. To be successful in this project, you should have a background in basic cloud computing concepts, understanding of AI/ML system requirements, and familiarity with enterprise infrastructure patterns.
Coursera
Managing Hybrid & AI-Augmented Teams: The Future of Work
Envision a workplace where distance doesn’t limit collaboration, and AI supercharges everyday tasks. This course shows you exactly how to achieve that, guiding you through a clear roadmap to integrate AI into hybrid workflows and lead with confidence. In this course, you’ll discover how to align people, processes, and AI tools to boost productivity and unlock your organization’s full potential. Through case studies and practical examples, you’ll learn to build trust and collaboration in distributed teams, leverage AI for smarter decision-making, and foster a culture of continuous innovation. You’ll also explore how AI can streamline workflows, enhance communication, and provide actionable insights—while ensuring ethical considerations and inclusive practices remain at the heart of your leadership approach. This course is designed for leaders and professionals navigating the evolving landscape of hybrid work. It’s ideal for executives, managers, HR professionals, consultants, entrepreneurs, and aspiring AI champions who want to understand how AI can support distributed teams. Whether you're building strategy, enhancing team communication, or advising on transformation, this course provides tools to lead confidently in AI-enhanced, hybrid environments. No prior experience with artificial intelligence or advanced technology is required. This course is accessible to all levels of leadership with a curiosity for innovation. A basic familiarity with digital collaboration tools—like video conferencing or task management platforms—may be helpful but is not necessary to succeed in this course. By the end of this course, learners will be able to describe how AI and hybrid work models influence team dynamics, integrate AI tools to boost productivity, and lead ethically and inclusively in diverse team settings. They will also be prepared to develop forward-thinking strategies that embrace AI trends and support continuous team development.
Coursera
Payroll: Withholdings, Entry & Verification
Ready to master the fundamentals that keep businesses compliant and employees paid correctly? This Short Course was created to help accounting professionals accomplish essential payroll processing mastery. By completing this course, you'll be able to confidently distinguish mandatory federal withholdings, systematically process employee time data, and implement verification procedures that prevent costly payroll errors you can apply immediately in your workplace. By the end of this course, you will be able to: Recognize mandatory federal payroll withholdings. Apply payroll data entry procedures to process employee time and verify calculations. This course is unique because it combines federal tax compliance knowledge with hands-on system practice using real-world scenarios that mirror daily accounting operations. To be successful in this project, you should have a background in basic accounting principles and familiarity with business software applications.