The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Edureka
Using Kafka on Confluent
Enhance your data engineering expertise with practical skills in real-time data handling and event streaming using Confluent Kafka. This course offers direct, hands-on experience in setting up and managing Kafka clusters, connecting to diverse data sources, and building robust data pipelines for modern applications. Throughout this course, you'll explore the industry-specific applications of and delve into various features and functionalities. By the end of this course, you will be able to: - Know the architecture of Kafka and Confluent. - Explain the importance of Kafka Connect used to connect to other data sources. - Assess the capabilities of producers for publishing data records and consumers for retrieving data. - Applying concepts of Kafka to manage data. - Interpret replication and Kafka streams on Confluent. - Explore Kafka's full data handling capabilities on Confluent. This course is suited for freshers, IT professionals, data architects, and project managers looking to advance in streaming data and event-driven architecture. Basic understanding of RDBMS and data management will be useful but is not mandatory. Gain the confidence and technical skillset to architect, manage, and scale real-time data solutions with Confluent Kafka.
Johns Hopkins University
Calculus through Data & Modelling: Integration Applications
This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values. This notion of accumulation can be applied to different quantities, including money, populations, weight, area, volume, and air pollutants. The concepts in this course apply to many other disciplines outside of traditional mathematics. We will expand the notion of the average value of a data set to allow for infinite values, develop the formula for arclength and curvature, and derive formulas for velocity, acceleration, and areas between curves. Through examples and projects, we will apply the tools of this course to analyze and model real world data.
Amazon Web Services
AWS Security – Encryption Fundamentals
In this course, you will learn about Amazon Web Services (AWS) offerings designed to facilitate the practice of encryption throughout your data's cloud lifecycle. You will also have the option to review encryption concepts and practice selecting AWS offerings to meet common encryption needs.
Whizlabs
AWS: Compute and Storage
AWS: Compute and Storage is the second course of Exam Prep DVA-C02: AWS Certified Developer Associate Specialization. This course provides fundamentals of EC2 concepts, including instance types, purchasing options, and storage solutions. It explores serverless computing with AWS Lambda and AWS SAM, demonstrating how to build, deploy, and manage serverless applications. This course facilitates learners with approximately 3:00-3:30 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. It is divided into two modules and each module is further segmented by Lessons and Video Lectures. - Module 1: Compute in AWS - Module 2: Storage in AWS This course is designed for professionals seeking to demonstrate a comprehensive understanding of core AWS services, including compute and storage, crucial for building and deploying applications on the AWS platform, regardless of their job function within development. By the end of the course, learners will be able to: - Analyze different EC2 purchasing options to optimize costs. - Use AWS Elastic Beanstalk and AWS Lambda for deploying and managing applications without managing servers. - Understand the core concepts of AWS storage services and utilize storage solutions for various use cases.
EDUCBA
Excel: Apply & Evaluate Unsupervised Clustering
This hands-on course empowers learners to apply, analyze, and evaluate unsupervised learning techniques—specifically clustering—using Microsoft Excel. Designed for learners with basic Excel knowledge, the course walks through the entire data clustering pipeline: from preparing and structuring datasets to building and refining logic-based cluster assignments. Learners begin by identifying and selecting relevant data attributes, then construct conditional logic using Excel functions to group entries into meaningful clusters. Through progressive stages, learners extend these clusters across datasets and visualize patterns using scatter plots. The course culminates with a workbook-wide review where students evaluate the effectiveness of their clustering logic and summarize their analytical outcomes. By the end of the course, learners will confidently use Excel as a lightweight yet powerful tool for clustering analysis—without relying on programming or external machine learning platforms.
Microsoft
Analysis and Visualization of Data with Power BI
In this course, you will learn report design and formatting in Power BI, which offers extraordinary visuals for building reports and dashboards. Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI. You will explore how to get a statistical summary for your data and how to create and export reports in Power BI. You will also perform advanced analytics in Power BI to get deeper and more meaningful data insights. After completing this course, you'll be able to: ● Recognize the different types of visualizations in Power BI ● Add visualizations to reports and dashboards ● Apply formatting choices to visuals ● Add useful navigation techniques to the Power BI report ● Design accessible reports and dashboards ● Use visualizations to perform data analysis
University of Alberta
Creating a Workplace People Want to Be
In this course, we’ll examine what defines effective leadership at the senior level, how leadership styles influence workplace culture, and how to foster trust, accountability, and engagement across the organization. We’ll take a good look at the business case for improving psychological health and safety and then look at the tools and strategies you can use to assess your organization and develop the strategies you need to enhance your overall workplace culture. We’ll also explore the structural and cultural factors that shape employee well-being. Psychological safety, DEI, and harassment prevention will be discussed—not just as policies, but as leadership priorities that impact retention, morale, and performance. Finally, we’ll explore stress, burnout, and workplace culture at the organizational level. You’ll learn how to identify what contributes to burnout—and how to adjust these factors to build a resilient, high-performing organization.
Harvard Business Review
Master Financial Fundamentals
Organizations are powered by sound financial decisions: informed choices about resources, investments, and strategic spending that fuel long-term success. No matter your role, you can create immense value by understanding how to interpret financial data and make decisions that maximize your team's resources. In this course, you'll learn how to read financial statements, create effective budgets, and invest wisely to produce desired returns. Discover evidence-based strategies to analyze financial performance and guide your organization toward sustained profitability.
Goldman Sachs
Fundamentos de Liderança com o 10,000 Women da Goldman Sachs
Este curso online gratuito é um dos 10 cursos disponíveis na coleção 10,000 Women da Goldman Sachs, projetado para empreendedoras prontas para levar seus negócios para o próximo nível. Neste curso, você estudará sobre liderança e sua função no crescimento dos negócios. Você aprenderá sobre estilos de liderança e refletirá sobre seu papel como líder de sua empresa. Você considerará as qualidades de liderança e identificará os valores e premissas ou suposições essenciais que influenciam a forma como você lidera. Você ouvirá as alunas Alumni do 10,000 Women da Goldman Sachs explicando como a implementação de um Plano de Desenvolvimento de Liderança as ajudou a expandir seus negócios. Você estudará sobre isso antes de concluir seu próprio Plano de Desenvolvimento de Liderança para considerar as ações que você pode realizar para lhe ajudar a melhorar suas habilidades de liderança. Você também fará uma Auditoria Cultural para considerar e analisar sua cultura organizacional atual. Ao final do curso, você terá criado sua Declaração de Visão, que descreve sua visão para o futuro de sua empresa. A coleção de cursos 10,000 Women oferece uma experiência de aprendizagem online verdadeiramente flexível. Você tem a liberdade de abordar o programa da maneira que for melhor para você -– faça qualquer curso, ou combinação de cursos, para adaptar sua jornada de aprendizado às necessidades individuais de crescimento de seus negócios. Se você optar por fazer todos os 10 cursos, você irá explorar todos os elementos-chave do seu negócio e desenvolver um plano completo para o crescimento do mesmo. Você pode descobrir mais sobre a coleção 10,000 Women da Goldman Sachs nas páginas de FAQs.
SkillsBooster Academy
Perplexity AI: A Comprehensive Guide to Generative AI
Unlock the full potential of Perplexity AI and Generative AI to transform your digital marketing strategy. In this hands-on course, you'll learn how to leverage the latest in AI personalization, content creation, and business process automation to drive better results across every stage of your marketing funnel. Whether you're focused on content marketing, email marketing, social media marketing, or campaign management, this course gives you the practical tools and AI-powered workflows you need to succeed. You'll master prompt engineering for crafting high-impact AI prompts, automate repetitive marketing tasks, and discover how Perplexity AI outperforms other Generative AI Agents like ChatGPT, Gemini, and DeepSeek in specific use cases. Inside the course, you’ll: -Create original, optimized content using AI for blogs, ads, emails, and websites -Use Perplexity AI to run market trend and keyword research for SEO and PPC -Design and automate personalized campaigns using AI personalization tools -Streamline your workflow through automation and reduce time spent on repetitive tasks -Execute full-scale campaign management with minimal manual input -Analyze performance and continuously improve using AI-generated insights -Apply ethical best practices for AI in marketing, ensuring transparency and trust -Build a fully automated mini marketing campaign using Perplexity AI from start to finish This course is perfect for marketers, small business owners, content creators, and digital professionals who want to stay ahead in an AI-driven world. By the end, you'll walk away with job-ready skills in marketing automation, Generative AI, search engine optimization, prompt engineering, and more. Enroll now!
Corporate Finance Institute
Advanced Tableau - Data Model
This Advanced Tableau course provides next-level training for structuring and connecting data in Tableau to build elegant and professional models. In this course, you’ll combine related data using joins, relationships, and blends to bring data into visuals. We’ll work through a scenario with evolving business requirements. These requirements will need more and more data added to our model as we progress. Each time you do this, you’ll be introduced to new options for joining, relating, and blending data, common problems, and methods for optimizing your data model for performance. By the end, you’ll have learned to think more carefully about the structure of your data, the types of connections you should use, and the performance options that are best for your data. By the end of this course you will be able to: • Build a basic data model using Tableau’s relationship feature • Optimize data model relationships using performance tuning • Understand the differences between JOINS, Relationships, and Blends • Adapt a data model based on an expanding set of requirements • Deal with common issues like NULLs, Many-to-Many, One-to-One relationships and filtering. • Understand how ETL tools can make life easier to create an optimal Star Schema This Tableau course is perfect for professionals who have a solid understanding of Tableau and want to solidify their knowledge of data modeling. If you want to know how to make good data modeling decisions in Tableau, this course is for you.
University of Colorado System
Requirements Elicitation: Artifact and Stakeholder Analysis
In Elicitation: Artifact and Stakeholder Driven Analysis, you will learn to use both recorded and presently unrecorded knowledge in your elicitation techniques. As you get started in finding out about the new product, you must first learn about the product that was (if there was one) and then learn about the system to be. Oftentimes, you'll find yourself in an environment you know nothing about! This course will help you find ways to learn about the domain, the system that was, and the system to be. Please review: "Who this class is for to determine if you are ready to take this graduate level course".
Korea Advanced Institute of Science and Technology(KAIST)
Meditation: A way to achieve your goals in your life
Do we truly think that we have lived for ourselves? Perhaps we have lived for money, love, fame, family and pride etc.? Therefore, we don’t seem to be satisfied even though we are full of those things. It is because that we don’t know ourselves. Eric Fromm talked about human nature as two modes of being: “To Have” and “To Be”. If we are “Having” the nature of possessions, we are not satisfied, and feel empty and futile. Then, how can we be “Being” the nature of our inner-selves? Sometimes, we happened to be aware of this “Being” nature and try to change ourselves, but fail. But, because of our daily routines, it’s easily forgotten. And more it is hard to escape from our unwanted minds controlling us. From now on, let us reflect on ourselves and look at our minds leading up to today! Don’t we achieve our goals after knowing ourselves? And let us find the “Being” nature of our original selves after escaping from the minds restraining and controlling us. In this lecture, the definition and principle of the mind are explained in simple and clear ways. You can make sure and practice the methodology of finding the true original mind of inner-self by escaping from the false mind of possession. Self-reflection is the first step to meditate. You can know yourselves most objectively through meditation and you will realize that all the thoughts and actions are due to your minds which are nonexistent and false. If you throw away the false mind, you will find the true mind. Meditation is now world-wide sensation. There are many research reports that show people can be leaders if you have a habit of self-reflection through meditation. Now meditation at school and the workplace are popular. Happiness is having no worries. You can really relax yourself if there is no bundle of thoughts and you can be successful when you know yourself truly. Worries come from the memorized thoughts of the false mind. Your inner potential of positive power are revealed, your peaceful and happiest mind will be in your mind, and you can live the life you wanted through meditation. This method of meditation is very practical and everybody can follow the methodology. As an engineer, I will guide you step by step to practice this meditation. I am sure that this lecture becomes a turning point in your life.
Packt
CI/CD for Test Automation: Jenkins & GitHub Actions
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 Continuous Integration and Continuous Delivery (CI/CD) with a focus on automating tests using Jenkins and GitHub Actions. Learn how to set up CI/CD pipelines to improve software quality, streamline testing workflows, and accelerate development cycles. By mastering these tools, you'll become proficient in creating and managing pipelines for backend, frontend, API, E2E, and performance testing. The course starts by laying the foundation of CI/CD, helping you understand its significance in modern software development and testing. You will then progress through configuring Jenkins and GitHub Actions, creating jobs and pipelines for various types of testing, and analyzing results. Additionally, you’ll learn about deploying applications using Fly.io and integrating deployment into your CI/CD processes. The course will teach you practical skills to implement test automation at every stage of your pipeline, ensuring robust, reliable, and scalable applications. This course is ideal for testers, developers, and DevOps professionals who want to integrate CI/CD practices into their workflows. It assumes some familiarity with software development and testing concepts, making it best suited for those with a basic understanding of coding or automation. The course is perfect for those looking to deepen their knowledge of test automation tools and CI/CD pipelines, regardless of whether you're familiar with Jenkins or GitHub Actions. By the end of the course, you will be able to create and optimize CI/CD pipelines, automate unit, API, E2E, and performance testing, integrate testing and deployment into Jenkins and GitHub Actions, and ensure seamless application delivery with integrated testing reports and performance thresholds.
Packt
Foundations of R Programming and Basic Data Manipulation
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. Embark on a transformative journey into R programming and data manipulation with this comprehensive course. It starts with an in-depth overview of R and RStudio, covering installation, configuration, and key features. You'll master navigating RStudio, managing projects, and handling diverse file formats for efficient workflows. The course delves into Rmarkdown for dynamic documentation, blending code, narrative, and visualizations. You'll explore essential data types and structures through hands-on labs, including matrices, arrays, lists, data frames, strings, and DateTime objects. The R programming section covers operators, loops, and functions, enabling you to write clean, modular code. Advanced topics include data import/export, web scraping, and sophisticated data manipulation techniques using piping, filtering, aggregation, reshaping, and joining datasets. You'll create impactful visualizations with ggplot2, plotly, leaflet, and dygraphs. Ideal for aspiring data scientists, analysts, and professionals, this course requires a basic programming understanding and targets beginners to intermediate learners, ensuring you transform raw data into actionable insights and compelling visualizations.
Whizlabs
Exam Prep AI-102: Microsoft Azure AI Engineer Associate
The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring. Take this Designing and Implementing a Microsoft Azure AI Solution: AI-102 exam and become a part of the futuristic world of Artificial Intelligence and grow your career by attaining Azure AI-102 certification. Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles. This course contains 5+ hours of training videos. Learners could find a total of 90+ lectures in the training course with comprehensive coverage of all topics regarding the exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. These lectures are divided into 5 Modules and each module is further split into lessons. The entire course includes Assessments to validate knowledge checks of learners. Also, a set of Graded Questions is available at the end of every module. Module 1: Azure AI Solutions: Planning and Management Module 2: Image & Video Processing Solutions Module 3: Natural Language Processing (NLP) Solutions Module 4: Knowledge Mining Solutions Module 5: Conversational AI Solutions Enroll in Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course and advance your Azure AI Solution Workload skills with Microsoft Azure. This training course helps you develop your skills and knowledge in AI-102. You can start with fundamental certifications such as the AI-900 exam. Once you gain command over all phases of AI solutions development, you are ready to start preparing for the AI-102 exam. This AI-102 course is mainly for those who need opportunities in various job roles such as Cloud Developers, Cloud Engineers, Solutions Architects, and Cloud Architects. By the end of this course, you will be able to pass the AI-102 exam on the first attempt and master Designing and Implementing a Microsoft Azure AI Solution.