The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
The STATA OMNIBUS: Regression and Modelling with STATA
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 is your comprehensive guide to mastering regression analysis and modeling using STATA. Starting with an introduction to the basics of linear regression, it takes you through essential concepts such as ordinary least squares, best linear unbiased estimators, and the crucial Gauss-Markov assumptions. You will also explore the difference between causality and correlation, learning how to apply these concepts practically in STATA with real-world examples. By the end of the linear regression module, you’ll be equipped with a deep understanding of regression analysis fundamentals. Moving beyond linear regression, the course delves into non-linear regression analysis, providing a robust framework for more advanced statistical modeling. You will gain expertise in models such as logit and probit transformations, maximum likelihood estimation, and techniques for managing multiple non-linear regression variables. Practical examples with STATA are woven throughout, ensuring that your learning is as practical as it is theoretical. The course rounds off with regression modeling strategies, including managing multicollinearity, handling missing values, and working with categorical explanatory variables. You’ll also explore dynamic relationships using time-based data and understand how to interpret regression outputs effectively. This training is packed with applied STATA demonstrations, allowing you to master both the technical and interpretative aspects of regression modeling. This course is designed for statisticians, data analysts, econometricians, and researchers. A basic understanding of statistics is required, with some familiarity with regression analysis and statistical software being advantageous.
Columbia University
Computational Methods in Pricing and Model Calibration
This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will introduce different types of options in the market, followed by an in-depth discussion into numerical techniques helpful in pricing them, e.g. Fourier Transform (FT) and Fast Fourier Transform (FFT) methods. We will explain models like Black-Merton-Scholes (BMS), Heston, Variance Gamma (VG), which are central to understanding stock price evolution, through case studies and Python codes. The second module introduces concepts like bid-ask prices, implied volatility, and option surfaces, followed by a demonstration of model calibration for fitting market option prices using optimization routines like brute-force search, Nelder-Mead algorithm, and BFGS algorithm. The third module introduces interest rates and the financial products built around these instruments. We will bring in fundamental concepts like forward rates, spot rates, swap rates, and the term structure of interest rates, extending it further for creating, calibrating, and analyzing LIBOR and swap curves. We will also demonstrate the pricing of bonds, swaps, and other interest rate products through Python codes. The final module focuses on real-world model calibration techniques used by practitioners to estimate interest rate processes and derive prices of different financial products. We will illustrate several regression techniques used for interest rate model calibration and end the module by covering the Vasicek and CIR model for pricing fixed income instruments.
James Spurin
Dive Into Kubernetes - Containers, Docker & Kubernetes
Introducing Dive Into Kubernetes - Getting started with Containers, Docker and Kubernetes! A comprehensive course by James Spurin, Docker Captain, CNCF Ambassador and an Industry Veteran - Featuring an Amazing Kubernetes Lab Experience, Quizzes and Challenges. James Spurin, a renowned expert with over 25 years of experience in technology, boasts an impressive career spanning engineering, development, and senior management at prestigious companies such as Goldman Sachs, Dell EMC, and Virgin Internet. As a Docker Captain and CNCF Ambassador (the organisation responsible for managing Kubernetes), he now brings you the most comprehensive and concise Kubernetes and Docker introductory course available, designed to transform you from a beginner with container technologies into a confident and proficient Kubernetes user. In this all-encompassing course, you will: ▸ Grasp the fundamentals of containers and their practical applications ▸ Master Docker and learn how to run, manage, and even build multi-platform containers efficiently ▸ Dive deep into Kubernetes, acquiring a solid understanding of its components and usage The course offers an exceptional lab environment to reinforce your learning, supplemented by quizzes, optional study materials, and engaging challenges. Embark on this comprehensive journey to master Kubernetes and Docker, guided by an industry expert who will help you understand each component's purpose and importance, step by step.
Microsoft
Launch a Website with Azure Virtual Machines
If your web hosting requirements aren't directly supported by the Azure Web app platform, you can leverage virtual machines to customize and control every aspect of ta webserver. In this course, you will learn how to create, configure, and manage virtual machines on Linux and Windows that host web apps. You will look at the decisions made before creating a VM, the options to create and manage the VM, and the extensions and services you use to manage your VM. You will learn how to create a Linux virtual machine using the Azure portal. You will also see how Azure virtual machines (VMs) enable you to create dedicated compute resources in minutes that can be used just like a physical desktop or server machine. Finally, you will build and run a web application with the MEAN stack on an Azure Linux virtual machine This course will help you prepare for the Microsoft Certified: Azure Developer Associate certification. In this course, you will take a practice exam that covers key skills measured in the exam. This is the second course in a program of 8 courses to help prepare you to take the exam. Each course teaches you the concepts and skills that are measured by the exam. This course is part of a Specialization intended for developers who want to demonstrate their expertise in all phases of cloud development from requirements, definition, and design; to development, deployment, and maintenance; to performance tuning and monitoring. It is ideal for anyone interested in preparing for the AZ-204: Developing Solutions for Microsoft Azure exam. By the end of this program you will be ready to take and sign-up for the Exam AZ-204: Developing Solutions for Microsoft Azure.
University of Michigan
Python Classes and Inheritance
This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create "inherited" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code. The course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the "Data Collection and Processing with Python" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful. This is the fourth of five courses in the Python 3 Programming Specialization.
Packt
Salesforce Integration With External Systems Part 2
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. Unlock the full potential of Salesforce by mastering advanced integration techniques with external systems. This course begins by exploring the fundamental concepts of external services in Salesforce, setting a strong foundation for complex integrations. You’ll learn to connect multiple Salesforce orgs effortlessly, create objects to manage data, and use tools like Postman and Salesforce Inspector for seamless data management. The step-by-step guidance ensures that you gain hands-on experience in setting up secure connections and managing data flow. As you progress, you’ll delve into no-code integration strategies using Salesforce flows and HTTP callouts. The course covers essential topics like Auth Providers, Named Credentials, and External Credentials, enabling you to implement secure authentication protocols for any integration project. You will also explore creating and using OpenAPI 3.0 documents to streamline and document API interactions, ensuring your integrations are well-structured and maintainable. In the final modules, you’ll apply your skills to integrate Salesforce with external systems like the AHA application. By learning to create and configure external services and credentials, you’ll be able to manage complex data flows and automate workflows without writing a single line of code. This hands-on experience prepares you to tackle real-world integration challenges confidently, transforming you into a proficient Salesforce integration specialist. This course is tailored for Salesforce administrators, developers, and integration specialists who are looking to enhance their skills in integrating Salesforce with external systems. A basic understanding of Salesforce fundamentals is recommended but no coding experience is required.
Codio
Intro to Operating Systems 2: Memory Management
Learn the inner workings of operating systems without installing anything! This course is designed for learners who are looking to maximize performance by understanding how operating systems work at a fundamental level. The modules in this course cover segmentation, paging, swapping, and virtual memory. 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.
Coursera
تحسين أداء العمل باستخدام نماذج غوغل
تتعرف عزيزي المتعلّم/الطالب في هذه الدورة التدريبية على كيفية تحسين أداء العمل من خلال نماذج غوغل، كما وسوف نشرح بشكل مفصل وواضح كيفية استخدام نماذج غوغل و نقوم بتعبئة استمارة تتحدث عن أهمية فريق العمل في تحسين أداء العمل، بالاضافة الى تطبيق نموذجين آخريين يطرحان كيفية تحسين الرواتب وتحفيز الموظفين. من خلال هذه الدورة سوف نطلعكم على كل الامور الضرورية لتحسين الأداء عبر نماذج غوغل. بعد الانتهاء من الدورة ستتمكن من تحسين وتطوير أداء العمل باستخدام نماذج غوغل بشكل فعّال.
University of Geneva
Cognition sociale
Bienvenue dans notre cours en ligne sur la cognition sociale ! Si la compréhension des processus mentaux impliqués dans les interactions sociales chez l'être humain vous intéresse, alors ce cours est fait pour vous. Dans ce MOOC, nous explorerons en profondeur les différents aspects de la cognition sociale, y compris l'origine du cerveau social, la perception sociale et la théorie de l'esprit. Nous examinerons également la façon dont le contexte social peut influencer le système cognitif. - Quels secrets notre cerveau révèle-t-il lorsqu'il interagit avec les autres ? - Quels sont les processus qui nous permettent de repérer des connaissances dans un café bondé ou dans une foule ? - Quelle est la clé pour comprendre les intentions et les émotions des autres ? Comment se mettre dans leur peau ? - Pourquoi la notion de Soi est-elle la base de notre compréhension des autres ? - Quelle est l'importance des liens d'attachement parent-enfant pour tisser des relations sociales solides ? - Comment notre culture change-t-elle notre vision du monde et des personnes qui nous entourent ? Que vous soyez étudiant-e, chercheuse ou chercheur, ou que le domaine de la psychologie sociale suscite simplement votre curiosité, ce cours vous fournira les connaissances et les outils nécessaires pour répondre à ces questions. Grâce à une combinaison d'explications théoriques et d'exemples concrets, vous serez en mesure de comprendre comment les processus mentaux sous-jacents influencent nos comportements sociaux. A travers une approche pédagogique interactive et des activités et exercices variés, vous pourrez appliquer vos nouvelles connaissances à des situations de la vie réelle, ce qui vous aidera à mieux appréhender les concepts développés dans le cours et à renforcer votre compréhension de la cognition sociale. Rejoignez-nous dès maintenant et découvrez comment la cognition sociale façonne notre expérience de la vie en société et comment vous pouvez utiliser ces connaissances pour mieux vous comprendre vous-même, ainsi que les autres.
Google Cloud
Feature Engineering en Español
En este curso, se exploran los beneficios de utilizar Vertex AI Feature Store, cómo mejorar la exactitud de los modelos de AA y cómo descubrir cuáles columnas de datos producen los atributos más útiles. El curso también incluye contenido y labs sobre la ingeniería de atributos en los que se usan BigQuery ML, Keras y TensorFlow.
University of Illinois Urbana-Champaign
Energy, Environment, and Everyday Life
For a sample of what this course will include, see the video "Energy, Environment, and Everyday Life MOOC with University of Illinois Professor David Ruzic" - http://go.citl.illinois.edu/Energy-MOOC This course teaches you everything you need to know about energy, the environment, and at least a number of things in everyday life. It starts by talking about energy itself and where it comes from. This includes how much we have, who has it, who uses it, and what that all means. The video clips are produced in a fast-paced multimedia format during which Professor Ruzic throws in fun and demonstrations. There are multiple-choice questions to check your understanding and some more in-depth exercises to guide you deeper into the subject. After explaining the main things we use energy for – our cars and electronics! – fossil fuels are examined in detail. Want to really learn about fracking or pipelines? Watch these segments. The environmental effects of fossil fuels are taught as well. Global warming, acid rain, and geoengineering all are in this part of the course. Part of their solution is too. Renewables follow, with clips on solar, wind, hydro, geothermal, biofuels, etc. You’ll even see Professor Ruzic in a corn field and in the middle of a stream showing how you could dam it up. Finally, nuclear power is taught in detail – how it really works and what happens when it doesn’t work, as in Three Mile Island, Chernobyl, and Fukushima, as well as how we are making it today, which is shown here without political preconceptions. In this course, economics takes center stage. People will ultimately do whatever costs the least, so energy policy is most effective when it is targeted at the user’s wallet. Throughout the course there are 24 segments on “How Things Work." These guides to everyday life are tremendously varied, covering everything from fireworks to making beer to what happens backstage at a theater. The course is designed to be enjoyable as well as informative. We hope you will take a look!
Board Infinity
Mastering Brand Awareness: Fundamentals to Advanced
Building a memorable brand requires more than great products, it demands clear identity, strategic storytelling, and consistent visibility across every touchpoint. This course offers a complete, practical journey into how brands earn recall, build trust, and sustain strong awareness in competitive markets. Through real case studies, interactive exercises, and hands-on branding tools, you’ll learn how to shape perception, increase reach, and measure what matters. You’ll begin by exploring how awareness works, how consumers form perceptions, what drives recall, and why certain brands stand out. You’ll review global and local case studies to understand what makes awareness campaigns effective. Next, you’ll learn how brands shape identity and positioning through visuals, messaging, segmentation, and differentiation. You’ll also explore how social, content, and paid media channels expand reach across digital platforms. Finally, you’ll dive into measurement and optimization, using KPIs, sentiment insights, and dashboards to track awareness and refine campaign decisions. By the end of this course, you will be able to: -Identify and apply the key elements that shape brand visibility, recognition, and recall. -Build strong brand identities and positioning strategies tailored to target audiences. -Use social, content, and paid media channels to enhance visibility across digital platforms. -Measure and optimize awareness using KPIs, sentiment insights, and reporting dashboards. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Google
Projet Capstone du Certificat d'analytique des données de Google : Terminer une étude de cas
Ce cours est le huitième du Google Data Analytics Certificate. Vous aurez la possibilité de mener une étude de cas facultative, qui vous aidera à vous préparer à la recherche d'un emploi en analytique des données. Les études de cas sont couramment utilisées par les employeurs afin d’évaluer les compétences analytiques. Pour votre étude de cas, vous choisirez un scénario basé sur des analyses. Vous poserez ensuite des questions, préparerez, traiterez, analyserez, visualiserez et utiliserez les données du scénario. Vous apprendrez également d'autres compétences utiles en matière de recherche d'emploi grâce à des vidéos contenant des questions d'entretien d'embauche courantes avec des réponses, des documents utiles afin de créer un portfolio en ligne, et bien plus encore. Des analystes de données actuellement chez Google vous instruiront et vous fourniront des moyens pratiques d'accomplir les tâches courantes des analystes de données, avec les meilleurs outils et ressources. Les participants qui terminent cette formation certifiante seront préparés à postuler à des emplois d'analyste de données de niveau d’entrée. Aucune expérience préalable n'est nécessaire. D'ici la fin de ce cours, vous aurez : - découvert les avantages et les utilisations des études de cas et des portfolios dans la recherche d'emploi ; - examiné des scénarios d'entretien d'embauche réels et des questions d'entretien courantes ; - découvert comment les études de cas peuvent faire partie du processus d'entretien d'embauche ; - examiné et évalué différents scénarios d'études de cas ; - eu la possibilité de terminer votre propre étude de cas pour votre portfolio.
John Wiley & Sons
Amp It Up: Leadership for Business Growth
Based on the best-selling book Amp It Up, by Frank Slootman. This course explores leadership strategies that drive hypergrowth and organizational scaling. Focused on raising expectations, increasing urgency, and elevating intensity, it teaches you how to create a high-performance culture that fosters rapid growth. Through real-world examples, leaders will learn how to challenge the status quo and make bold decisions that propel businesses forward. Key topics include prioritizing execution, building a mission-driven culture, and hiring top talent to accelerate scaling. The course emphasizes practical, actionable strategies for leaders, entrepreneurs, and CEOs in fast-growing companies. Whether you're leading a startup or managing a growing organization, this course will equip you with the tools to lead with intensity and achieve sustainable growth. From Amp It Up Copyright © 2022 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. Used by arrangement with John Wiley & Sons, Inc.
Pearson
Introduction to Django
Django is the most popular web framework for Python and is used by many large websites, including Instagram, the Washington Post, Spotify, and Eventbrite. It is great for getting projects up and running quickly, with all the built-in functionality to ensure that it is up to modern security standards and can scale to accommodate your future needs. This is a beginner-friendly introduction to building web applications in Django, the Python web framework for perfectionists with deadlines. In it, you will get some hands-on experience starting an app from scratch, as well as some example code for your future reference.
University of Colorado Boulder
Challenges of Leading Technical Teams
Great Leaders lead by example. They protect their team members, empower them, and help them to improve and grow while the team members, in turn, help the organization improve and grow. Working together with the team, they envision what the organization could be and inspire others to help execute the strategy that will take them there. Many times, they see their team members as more of a family than simply as business acquaintances. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.