The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Optimize Deep Learning: Stabilize and Diagnose Models
Financial plans are only as strong as the assumptions behind them. In this hands-on course, learners build a multi-year P&L projection that connects top-down market forecasts with bottom-up sales and cost assumptions, and then stress-test the plan to evaluate resilience under pressure. By the end of the course, learners will confidently model revenue and expenses over three years, run downside scenarios, and propose margin-preserving actions—all core skills for analysts and managers in FP&A, strategy, or operations.
Creo Incubator
Startups Market Study & Competitive Analysis
CREO Startups Market Study & Competitive Analysis Course gives learners a structured, practical approach to assessing whether a start-up is addressing a credible market opportunity and how well it is positioned within its competitive landscape. You will begin with market study fundamentals, including what defines a market, how markets can be segmented using demographic and psychographic factors, and how customer behaviour and needs shape commercial potential. The course introduces essential concepts such as market size, return on investment, and key metrics including TAM, SAM, and SOM, while also exploring both top-down and bottom-up market sizing approaches. You will examine the conditions that support product–market fit, recognise signs of weak or unattractive markets, and understand how timing, adoption readiness, and market maturity can influence venture performance and investment potential. You will also learn how market research is conducted using both primary methods, such as interviews, surveys, focus groups, and field trials, and secondary research, with attention to how investors can interpret this evidence critically when assessing opportunity quality. In the second part, the course focuses on competitive analysis as a core tool for investment assessment and strategic evaluation. You will learn to move beyond narrow views of competition and assess the wider landscape, including direct, indirect, and substitute competitors. The course shows how to build a well-rounded competitor profile by examining offerings, pricing, customer segments, value propositions, and go-to-market strategies. You will explore how to interpret competitive analysis reports, identify genuine sources of advantage, and use practical tools such as the competitive matrix to map the landscape and compare relative strengths and weaknesses. By the end of the course, you will be able to assess market attractiveness more critically, interpret market evidence with greater confidence, and evaluate how clearly and credibly a start-up is positioned for competitive success.
Arizona State University
Battery Comparison, Manufacturing, and Packaging
Battery comparison, Manufacturing, and Packaging: In this course, you’ll identify components of battery management systems including electrical and thermal protections, cell balancing, state of charge and state of health estimation.
Packt
Machine Learning Foundations
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. In this comprehensive course, you will dive into the world of machine learning, exploring key concepts, algorithms, and implementation techniques. You'll start by mastering feature engineering, a crucial aspect of building effective machine learning models. By focusing on data scaling, normalization, encoding categorical variables, and feature selection, you’ll enhance your ability to preprocess and transform data for optimal model performance. The journey continues as you explore the core machine learning algorithms. You'll implement these techniques using Python, including linear regression, logistic regression, decision trees, random forests, and gradient boosting. The course will also cover unsupervised learning techniques, such as K-means clustering, DBSCAN, and Gaussian mixture models, helping you tackle complex data analysis problems. Additionally, advanced methods like reinforcement learning and neural networks will be introduced, preparing you for cutting-edge machine learning applications. This course is designed for learners who have a basic understanding of programming and data science principles. It is ideal for those looking to build a solid foundation in machine learning, whether you're aiming to enhance your skills or transition into the field. No prior experience with machine learning is necessary, but a familiarity with Python is helpful. The course is suitable for intermediate learners looking to strengthen their understanding of machine learning algorithms and techniques. By the end of the course, you will be able to implement various machine learning algorithms in Python, from regression and classification to clustering and reinforcement learning, with a deep understanding of how to evaluate and optimize model performance.
Packt
Kibana 8.x – A Quick Start Guide to Data Analysis
This course introduces learners to Kibana, focusing on its data exploration, visualization, and dashboard-building capabilities. With a structured approach, learners will be equipped to transform raw data into actionable insights using Kibana's powerful features. Practical examples and step-by-step guides ensure an intuitive understanding of Kibana’s interface. By the end, learners will be able to create and share interactive dashboards and use advanced analytics features to drive business decision-making. Designed for professionals, this course combines theoretical concepts with real-world applications. It equips learners to use Kibana for efficient data management and visualization, enhancing their analytics workflow. This hands-on guide allows learners to master Kibana through practical, expert-led lessons. Whether you're a data analyst or business user, this course will help you leverage Kibana for meaningful data analysis. This course is beneficial for data analysts, data engineers, and business users with a basic understanding of Elasticsearch. Knowledge of data analysis tools is recommended for the best experience.
Google Cloud
Introduction to Data Analytics in Google Cloud
Welcome learner! This is the first of five courses of the Google Cloud Data Analytics Certificate. Jump into the world of data analytics and cloud computing. Explore the data lifecycle in the cloud and gain a better understanding of the common tools used by data analysts.
Codio
Advanced Django: External APIs and Task Queuing
Code and run Django websites without installing anything! This course is designed for learners who are familiar with Python and basic Django skills (similar to those covered in the Django for Everybody specialization). The modules in this course cover connecting to external APIs, task queuing, and pulling together the topics across the specialization in capstone projects. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Connecting to external APIs Implement task queuing Leverage various Django skills to create portfolio-quality projects
Google
Agiles Projektmanagement
Dies ist der fünfte Kurs des Projektmanagement-Zertifikatsprogramms von Google. Dieser Kurs beschäftigt sich mit der historischen Entwicklung, dem Ansatz und der Philosophie des agilen Projektmanagements, einschließlich des Scrum-Frameworks. Sie lernen, agile und andere Projektmanagement-Ansätze zu differenzieren und zu kombinieren. Im Laufe des Kurses erfahren Sie mehr über die Scrum-Methode, beschäftigen sich mit deren Säulen und Werten und vergleichen wesentliche Scrum-Teamrollen. Sie erfahren, wie Sie ein Product Backlog erstellen, verwalten und präzisieren, die wertorientierten Lieferstrategien von Agil implementieren und eine Value Roadmap definieren. Sie erlernen zudem Strategien, um die fünf wichtigen Scrum-Ereignisse für ein Scrum-Team zu organisieren, einen agilen oder Scrum-Ansatz in eine Organisation einzuführen und ein agiles Team zu coachen. Schließlich erfahren Sie, wie Sie agile Rollen suchen und sich erfolgreich darauf bewerben. Derzeitige Projektmanagende bei Google werden Sie weiterhin anleiten und Ihnen die praktischen Ansätze, Tools und Ressourcen an die Hand geben, mit denen Sie Ihre Ziele erreichen. Lernende, die dieses Programm abschließen, können sich auf Einstiegspositionen im Projektmanagement bewerben. Es sind keine Vorkenntnisse erforderlich. Nach Abschluss dieses Kurses können Sie: - Den Ansatz und die Philosophie von agilem Projektmanagement, sowie die Werte und Prinzipien erklären - Die Säulen von Scrum und wie sie Scrum-Werte unterstützen erklären - Die wesentlichen Rollen in einem Scrum-Team und was sie effektiv macht identifizieren und vergleichen - Ein Product Backlog erstellen und verwalten und ein Backlog Refinement durchführen - Die fünf wichtigen Scrum-Ereignisse beschreiben – und wie jedes einzelne Ereignis für ein Scrum-Team eingerichtet wird - Die wertorientierten Lieferstrategien von Agil implementieren und eine Value Roadmap definieren - Erläutern, wie Sie ein agiles Team coachen und ihm helfen, Herausforderungen zu meistern - Eine Jobsuche für eine agile Rolle durchführen und lernen, wie Sie in Ihrem Vorstellungsgespräch erfolgreich sein können
Dubai College of Tourism
Travel Agency Operations
This comprehensive course is designed for individuals aspiring to be in the travel industry and provides a look into the world of travel agency operations. Gain a foundational understanding of travel agency operations, master client management and booking processes, and learn to create comprehensive travel documentation. By the end of this course, you will be well-equipped to start a successful career as a Travel Agent, Travel Consultant, or in related roles within the travel and tourism sector, providing exceptional travel experiences and contributing to the overall success of a travel agency.
EDUCBA
Python: Apply & Evaluate Sales Forecasting with Time Series
This practical, hands-on course equips learners with the skills to analyze, build, and evaluate sales forecasting models using advanced time series techniques in Python. Designed for learners with foundational Python skills, the course progresses from preprocessing raw time series data to implementing complex forecasting models including SARIMA and Facebook Prophet. Learners begin by preparing data through structured preprocessing, feature engineering, and time series decomposition to uncover patterns and trends. The course then guides learners in training and statistically evaluating SARIMA models, validating model performance, and visualizing predictions. Through real-world comparisons of multiple datasets and categories, learners explore advanced model evaluation methods. The second half of the course focuses on the Prophet library, where learners will construct, visualize, and critically assess forecasts using Prophet’s intuitive capabilities for modeling trend, seasonality, and holidays. By the end of the course, learners will be able to apply statistical reasoning, build robust forecasting models, compare prediction strategies, and visualize results to support data-driven sales decisions.
Coursera
Foundations of Modern Mining
Our insatiable demand for metals over the years has been spurred by unprecedented economic growth across many countries in the world. It is important to know that the very structure upon which we are built depends on the products of mining. This course on Foundations of Modern Mining will equip you with the essential knowledge and skills to navigate the complex processes involved in mining. It provides an informative overview of the entire mining cycle known as “PEDOCA” – Prospecting & Exploration, Development, Operation, Closure and After-Care. This course is designed for individuals interested in developing foundational knowledge in modern mining, particularly professionals in the mining industry, or those with a related background who are eager to deepen their understanding of core mining principles. Learners should have a basic understanding of maps, familiarity with mining equipment, some health, safety, and environmental knowledge, and a strong interest in mining After completing this course, learners will be able to tackle operational challenges in the manufacturing industry by applying comprehensive knowledge gained. Also, they will be able to advance their careers, meet regulatory requirements, or drive transformation initiatives.
Johns Hopkins University
Fundamentals for Implementing a Hypertension Program
This course provides the fundamental knowledge necessary for program managers and implementors in a hypertension control program, especially in resource-limited settings. The course is interactive and includes useful tips relevant to different settings. The course should be also relevant to physicians, nurses, pharmacists, community health workers, and others who are interested in learning about hypertension diagnosis and management.
EDUCBA
Integrating Python for Web Systems, Testing, and Packaging
This course is designed to guide learners through the complete pipeline of Python-based web application development, from structured document parsing to cross-platform deployment and performance tuning. Through three progressively advanced modules, learners will apply, construct, and evaluate server-side scripting techniques, Python-based integration tools, and distribution mechanisms. In Module 1, learners will explore the foundations of web content parsing, using libraries such as Tidy and Beautiful Soup, and will demonstrate the creation and debugging of CGI-based web applications. In Module 2, learners will construct dynamic server-side components using Python Server Pages (PSP), implement XML-RPC communication, and validate their applications with testing tools like doctest and unittest, followed by evaluating performance using profiling tools. In Module 3, learners will demonstrate integration with external platforms like Java and .NET through Jython and IronPython, analyze memory management using reference counting, and construct Python packages using distutils for scalable application deployment. This hands-on, project-based course enables learners to not only build web solutions but also optimize and package them efficiently for diverse environments.
Amazon Web Services
Amazon EC2 Basics
Compute services are the backbone that power most web-based applications. Amazon Elastic Compute Cloud (Amazon EC2) is the foundation that many other Amazon Web Services (AWS) offerings are built upon. This course provides you with the opportunity to explore the different families of EC2 instances and identify the target workloads for each of these families. You will learn about the different instance types and how to select the best instance types to maximize price and performance.
Coursera
Get started with Piktochart
At the end of this project, you will have all the basic skills to use Piktochart, a software and online tool for creating and editing infographics and Marketing designs of all kinds. You will be able to discover in detail the different features of the platform, and will be able to test its graphical content creation tools for the first time. This project is for beginners, people who have never used Piktochart. It is ideal for those who would like to use Piktochart for their professional projects.
University of California, Irvine
Basics of Extracellular Vesicles
This course aims to provide the basic knowledge about extracellular vesicles (EV) a generic term including exosomes, microvesicles, microparticles, ectosomes, oncosomes, prostasomes, and many others. It covers areas such as EV history, nomenclature, biogenesis, EV cargo as well as the release and uptake mechanisms, collection and processing prior to isolation, different isolation methods, characterization and quantification techniques. This course is divided into five modules. Module 1 is an introduction to the field and will cover the nomenclature and the history of EVs. Module 2 will focus on the biogenesis, release and uptake mechanisms of EVs as well as the different EV cargos (RNA, protein, lipids). In Module 3, we will focus on the collection and processing of cell culture media and body fluids such as blood, breast milk, cerebrospinal fluid and urine prior to isolation of EVs. Module 4 and 5 will present different isolation methods and characterization/quantification techniques, respectively. Here differential ultracentrifugation, size exclusion chromatography, density gradient, kit based precipitation, electron microscopy (EM), cryo-TEM, flow cytometry, atomic-force microscopy and nanoparticle tracking analysis will be presented. The recommended prerequisites are college-freshman-level biology and biochemistry. After a completed course you should be able to: + Discuss the nomenclature and subgroups of extracellular vesicles. + Describe the RNA, protein and lipid content of extracellular vesicles. + Describe the basic concepts about the most common isolation and characterization techniques and how these techniques are used in the EV field. + State the benefits and limitations of the most common isolation and characterization techniques for extracellular vesicles. + Explain the considerations that are important during the collection and isolation of EVs from different body fluid. + Describe the release and uptake mechanisms of extracellular vesicles All lectures are given in English. Each of the five modules will be followed by an exam. All exams will be in the format of multiple choice questions. The course is organized in collaboration between the International Society for Extracellular Vesicles (ISEV), University of California Irvine (USA), University of Gothenburg (Sweden) and Pohang University of Science and Technology (South Korea).