The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
GenAI for Mobile App Developers (iOS, Android)
At the GenAI Academy, the "GenAI for Mobile App Developers" course explores the transformative power of Generative Artificial Intelligence (GenAI) in mobile app development practices. This comprehensive course equips participants to harness the capabilities of GenAI to streamline their development workflows. Through interactive discussions, video demonstrations, and hands-on exercises, attendees will discover how GenAI can optimize efficiency in mobile app testing, user interface optimization, performance analysis, and automation. The curriculum also addresses the challenges and best practices associated with implementing GenAI in mobile app development. The "GenAI for Mobile App Developers" course is designed for experienced mobile app developers who aim to stay current with emerging technologies and improve their development skills. It also targets newcomers to the field who want to future-proof their skillset and gain a competitive edge in the job market. Additionally, professionals seeking to upskill and enhance their expertise in mobile app development will benefit from this course. No prior knowledge of artificial intelligence is required for this course. However, participants should have a solid understanding of mobile app development principles and practices to fully grasp the applications of GenAI in this context. By the end of the course, learners will be able to identify and apply GenAI capabilities to streamline tasks such as testing, user interface optimization, and performance analysis. Participants will explore real-world applications of GenAI, assess its impact on mobile app development, and develop strategies for its ethical integration into their workflows.
Corporate Finance Institute
Regression Analysis - Fundamentals & Practical Applications
Linear regression analysis is critical for understanding and defining the strength of the relationship between variables. This analysis can be used to make predictions for a variable given the value of another known variable. This course provides an overview of linear regression. You will learn how linear regression works, how to build effective linear regression models and how to use and interpret the information these models give us. In addition to the theory, we will perform linear regression on real data using both Excel and Python. The practical cases you will work through will be similar to those you might encounter in a business setting. Upon completing this course, you will be able to: • Define linear regression and its applications • Perform simple “pen and paper” regression calculations in Excel • Apply Excel’s RegressIt plugin to solve advanced regression calculations • Construct linear regression models in Python using both statsmodels and sklearn modules • Explain the implicit assumptions behind linear regression • Interpret regression outputs such as coefficients and p-values • Recommend various regression techniques when appropriate Regression is the critical tool used for making inferences or predictions based on the relationships between variables. Whether you’re working as a business leader or data analyst, the theory and practical toolsets taught in this course will serve you throughout your career. No background in coding with Python is required for this course. Common career paths for students who take the BIDA™ program are Business Intelligence, Asset Management, Data Analyst, Quantitative Analyst, and other finance careers.
University of Illinois Urbana-Champaign
Managing Professional Work Teams
We often think that managing people looks like a charismatic and courageous person effective enough to be in front pointing out to everyone the direction the group should take, while others follow behind. However, in today’s world (where the difference between supervisors and employees is smaller than ever), leaders are just as often teammates and collaborators as they are supervisors and managers who can hire and fire their team at will. This course is an introduction for how managers can construct and supervise individuals who work as a team to get their work done quickly and effectively – where all individuals add unique value and skill. Taught by an internationally recognized expert in leadership and team development, this course is helpful to anyone interested in the basics of supervising other humans in work and community settings. If you already consider yourself more advanced, this short course might help to remind you of basic strategies and concepts you may have gotten away from. Each short video and reading is designed to be practical, clear, and backed by the latest research in management and leadership development.
LearnQuest
Spring MVC, Spring Boot and Rest Controllers
This is a course aimed at students wishing to develop Java based Web Applications and Restful Micro Services using the very popular Spring MVC and Spring Boot frameworks with minimal configuration. The student will develop services through various Url templates, consume and respond with json or XML payloads and create custom HTTP headers. Requestors of these services will include Java and Angular JS clients to illustrate the reuse capabilities of services in a distributed architecture. Traditional web applications will also be covered that render web pages in a typical Model View Controller (MVC) architecture. This is a very hands on course with a series of labs to illustrate the key concepts.
EDUCBA
Big Data Analytics with Hive, Pig & MapReduce
By the end of this course, learners will be able to design Hive databases, manage complex tables, process XML data with Pig, execute MapReduce jobs, and analyze large-scale social media datasets to extract meaningful insights. The course begins with foundational concepts of Hive, including databases, partitions, and bucketing, then advances into table optimization and constraints for schema design. Learners will gain practical experience in ingesting data with Sqoop, processing it using MapReduce, and applying location- and author-based analytics to real-world datasets. Finally, the course explores Pig scripting for XML processing and Hive complex data types for advanced bookmarking dataset analysis. This course is unique because it combines two hands-on case studies: one from the telecom industry and another from social media analytics, offering a blend of foundational Hive knowledge and advanced Hadoop ecosystem tools. Designed for professionals, students, and data enthusiasts, the course emphasizes practical application over theory, ensuring learners can confidently apply big data technologies to solve real business problems.
Coursera
Python for Data Science (and Version Control with GitHub)
Master Python programming for data analysis in this comprehensive course designed for aspiring data scientists. Through hands-on projects using real-world datasets, you'll learn essential data manipulation, visualization, and statistical analysis techniques while integrating modern AI tools and version control practices. This course is perfect for analysts and professionals who want to advance beyond spreadsheets to powerful programming solutions. Starting with Python fundamentals and progressing through advanced analysis techniques, you'll develop practical skills that directly apply to real-world data challenges. Upon completion, you'll be able to: • Import, clean, and manipulate data using Python's powerful libraries (Pandas, NumPy) • Create compelling visualizations with Matplotlib, Seaborn, and Plotly • Perform statistical analysis and A/B testing for data-driven decisions • Automate data workflows and generate professional reports • Implement version control best practices using GitHub
IBM
Exploratory Data Analysis for Machine Learning
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics.
University of Colorado Boulder
ANOVA and Experimental Design
This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to ethical issues raised in experimentation. This course 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. Logo adapted from photo by Vincent Ledvina on Unsplash
Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
Whizlabs
Information Systems Implementation and Business Resilience
Information Systems Implementation and Business Resilience is the second course of Exam Prep: Certified Information Systems Auditor (CISA) Specialization. Database concepts, including relational models, controls, and DBA responsibilities, are also covered. The course concludes with business continuity and disaster recovery planning, including backup strategies, system resiliency, and RTO/RPO analysis, equipping learners to ensure organizational stability and preparedness in the face of disruptions. The course is divided into three modules, and each module is further segmented into Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. - Module 1: Information Systems Implementation - Module 2: Information Systems Operations - Module 3: Business Resilience This course is designed for IT auditors, audit managers, security professionals, and consultants. Their current job roles often involve assessing IT and business systems, managing risks, ensuring compliance, and implementing controls. By the end of the course, learners will be able to: - Manage IT Assets, Operations, and Service Levels. - Understand Database Concepts, Controls, and Administration. - Grasp Business Continuity and Disaster Recovery Planning.
Google Cloud
Gemini in Google Drive - Español
Gemini para Google Workspace es un complemento que les proporciona a los usuarios acceso a funciones potenciadas por IA generativa. En este curso, se profundiza en las capacidades de Gemini en Google Drive a través de lecciones en video y actividades y ejemplos prácticos. Al final del curso, contarás con los conocimientos y las habilidades necesarios para usar Gemini en Google Drive con confianza y mejorar tus flujos de trabajo.
Imperial College London
Healthcare Entrepreneurship: Taking Ideas to Market
This course delves into intellectual property (IP) with an introduction into the innovation landscape within the UK and how that compares with other settings. You'll focus on how intellectual property applies to frugal innovations, compulsory licensing, and when and how to apply for intellectual property. This course teaches you about how innovators can secure funding by exploring the types of funding available, the types of organisations involved, as well as the challenges that surround funding. A key part of this course is a focus on 'pitching' skills - what's involved in pitching well, what content should you include, how can you best deliver a pitch. You'll come away from this course with strong insight into the importance of protecting an innovation's intellectual property, able to identify IP processes and challenges, and able to confidently pitch an innovation.
Google Cloud
Gemini in Google Sheets - Bahasa Indonesia
Gemini untuk Google Workspace adalah add-on yang menyediakan fitur AI generatif bagi pelanggan di Google Workspace. Dalam kursus mini ini, Anda akan mempelajari berbagai fitur penting di Gemini dan cara penggunaannya untuk meningkatkan produktivitas dan efisiensi di Google Spreadsheet.
University of Michigan
파이썬의 응용 소셜 네트워크 분석
이 과정은 NetworkX 라이브러리를 사용한 튜토리얼을 통해 학습자에게 네트워크 분석을 소개합니다. 과정 처음에는 네트워크 분석이란 무엇인지, 왜 현상을 네트워크로 모델링할 수 있는지를 파악합니다. 두 번째 주에는 연결성과 네트워크 견고성의 개념을 소개합니다. 세 번째 주에는 네트워크에서 노드의 중요성 또는 중심성을 측정하는 방법을 탐구합니다. 마지막 주에는 시간 경과에 따른 네트워크의 진화를 탐구하고 네트워크 생성 모델과 링크 예측 문제를 다룹니다. 이 과정을 시작하려면 먼저 다음을 수강해야 합니다. 파이썬의 데이터 과학 입문, 파이썬의 응용 플로팅, 차트 및 데이터 표현, 파이썬의 응용 머신 러닝.
LearnQuest
Advanced Angular Development
This course is designed for Beginners with some background in basic web development experience, HTML, Javascript, and CSS, and who have basic knowledge of Angular. Personally, the learner who is considering being a web developer would have to learn a framework. This is one of the most popular frameworks that will be used in modern web sites and portals. Professionally, the person is an experienced web developer, or web architect, who wants to upgrade to Angular 17, or update their Angular skills. By the end of this course, you will be able to: -Identify Angular Modules -Explain Dependency Injection -Write Observables in Angular -Describe Making HTTP Requests in Angular -Summarize Server-Side Rendering in Angular -Build & Publish an Angular App
University of Geneva
Le Bien, le Juste, l'Utile. Introduction aux éthiques philosophiques
Course in French with English and Chinese subtitles Ce cours présente les principaux courants qui marquent aujourd'hui la réflexion éthique et touchent tout un chacun dans sa vie personnelle, sociale et citoyenne. D’Aristote à Kant, de Bentham à Derrida, à travers un voyage philosophique passionnant nous entrerons dans le vif du débat éthique contemporain. Notre monde toujours plus complexe semble nous échapper. Réchauffement climatique, questions de début et de fin de vie, évolution vertigineuse des bio-technologies, inégale distribution des richesses, pressions migratoires accentuées… La tentation est grande d’une vie morale repliée sur elle-même à partir d’une éthique minimale : « fais ce que tu veux, du moment que tu ne mets pas en péril la liberté des autres ». Nous proposons de prendre le contre-pied : défendre l’idée d’une éthique qui nous plonge dans notre réalité sociale et politique, parmi nos semblables et avec eux. Et pour cela nous reposons la question de ce qui est juste, de ce qui est bien. Sans repartir de rien, sans tout réinventer. C’est pourquoi nous présentons un cours qui permet de se familiariser avec les plus importantes perspectives éthiques traversant le monde contemporain : l’éthique des vertus (ou perfectionnisme) ; l’éthique du devoir (ou déontologisme) ; l’éthique utilitariste (ou conséquentialisme) ; l’éthique de l’amour (ou éthique du don). Ainsi chacun pourra mettre de l’ordre dans ses idées, repérer les différentes manières de s’orienter dans la vie morale, comprendre les différences d’appréciation face aux diverses situations qui interpellent et sollicitent. Quels que soient votre champ de savoir académique, votre engagement professionnel ou vos choix personnels, il s’agit de proposer des clés d’analyse dont vous disposerez. Pour cela, nous alternerons tout au long de ce cours les présentations des grands courants, sous leur forme ancienne puis contemporaine, et des questions plus transversales ou des cas concrets. Avec un seul but : clarifier les idées pour mieux comprendre le réel et mieux orienter l’action. - - - - - - - - - - - - - - - - - - - - - - - - - - - About this course: This course presents the main schools of thought that frame today’s ethical reflection and affect everyone in their personal, social and civic life. From Aristotle to Kant, from Bentham to Derrida, we will take you to the heart of contemporary ethical debates through a fascinating philosophical journey. Our increasingly complex world seems to elude our grasp. Global warming, beginning and end-of-life issues, the dizzying evolution of bio-technologies, the unequal distribution of wealth, heightened migratory pressures ... In response, we are tempted to make the moral life a self-legislating and isolated affair: "do what you want, as long as you do not put at risk the freedom of others". We propose to go against this trend and to defend the idea of an ethics that immerses us in our social and political reality, in and amongst our peers. We thus reformulate the question of what is right and what is good. This is not to say we are starting from scratch and reinventing the wheel. Rather, we will offer a course that allows you to encounter the most important ethical perspectives of our contemporary world: virtue ethics (or perfectionism); ethics of duty (or deontology); utilitarianism (or consequentialism); ethics of love (or ethics of the gift). Everyone will thus have a chance to evaluate his or her ideas, to identify different approaches to the moral life, and to understand a range of perspectives on different situations that face us in our lives. Whatever your field of academic knowledge, your professional commitments or personal choices, this course presents key concepts for further analysis. Therefore, we will alternate discussions of the founding schools of ethical thought, in their ancient and contemporary formulations, with cross-disciplinary issues and applied case studies. The goal throughout is to clarify ideas in order to better understand reality and orient human action. - - - - - - - - -- - - -- - - - - - - -- - - - - - -- 善、正义、功用：哲学伦理学导论 本课程旨在向大家介绍伦理学的主要流派，这些流派对如今的伦理思考意义非凡，并且涉及到每个人的个人生活、社会生活和公民生活。 从亚里士多德到康德，从边沁到德里达，通过引人入胜的哲学之旅，我们将进入当代伦理学辩论的核心问题。