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Résultats

• Technologie

  Débutant

  t-Tests of Hypotheses About Means

  This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course provides a comprehensive understanding of statistical methods for comparing means, focusing on the t-test. Students will learn to conduct and interpret one-sample, paired-samples, and independent-samples t-tests, using raw data and summary statistics. The course also covers calculation and interpretation of effect sizes, confidence intervals, and statistical power. Table of Contents: The t-Statistic The The Varieties of t-Tests and When To Use Them The One-Sample t-Test The Paired-Samples t-Test The Independent-Samples t-Test

  Langue d’origine

  900 min

  Voir les détails: t-Tests of Hypotheses About Means
• Affaires

  Intermédiaire

  Real-World Cloud PM 2 of 3: Managing, Innovating, Pricing

  Sponsored by AMAZON WEB SERVICES (AWS). Learn real-world technical and business skills for product managers or any job family involved in the rapidly expanding cloud computing industry. Ace the AWS Certified Cloud Practitioner Exam. This course is the 2nd in a 3-course Specialization. Complete the first course before attempting this one. Featuring * NANCY WANG, GM of AWS Data Protection Services, AWS; Founder and CEO, Advancing Women in Tech (AWIT) * GORDON YU, Technical Product Manager, AWS; General Counsel and Coursera Director, AWIT

  Langue d’origine

  Voir les détails: Real-World Cloud PM 2 of 3: Managing, Innovating, Pricing
• Affaires

  Débutant

  Track and Update Vendor Performance Data

  This beginner-level course is for anyone entering a role in procurement, logistics, or operations who needs to master a fundamental business skill: accurately tracking and updating vendor performance data. In approximately 90 minutes, you will learn the precise, step-by-step process that turns raw data into reliable business intelligence. This is a practical, hands-on course that focuses entirely on the job task. In the first module, you will build a solid foundation, learning the "why, where, and when" of data tracking and mastering how to locate the correct information in a shared system. In the second module, you will put that knowledge into action, following a guided process to accurately enter and verify data in a hands-on lab. You will see how your attention to detail connects to real-world outcomes, from ensuring product safety to upholding a company's ethical standards. You will leave this course with the confidence and skill to be a reliable contributor to your team's data management process from day one.

  Langue d’origine

  125 min

  Voir les détails: Track and Update Vendor Performance Data
• Technologie

  Débutant

  Managing Network Security

  Almost every organization uses computer networks to share their information and to support their business operations. When we allow network access to data it is exposed to threats from inside and outside of the organization. This course examines the threats associated with using internal and external networks and how to manage the protection of information when it’s accessible via networks. In this course, a learner will be able to: ● Describe the threats to data from information communication technology (ICT) ● Identify the issues and practices associated with managing network security ● Identify the practices, tools, and methodologies associated with assessing network security ● Describe the components of an effective network security program

  Langue d’origine

  480 min

  Voir les détails: Managing Network Security
• Technologie

  Débutant

  Foundations of Generative AI in SDLC Training

  This beginner-friendly course covers the fundamentals of Generative AI in SDLC and its impact on software development. Explore key concepts like large language models (LLMs), prompt engineering, and human-AI interaction. Learn to craft effective prompts and watch demos using ChatGPT for multilingual review management. Build custom GPTs for Python debugging and UI design, explore top GenAI tools across the SDLC, and create a food ordering app. The course also highlights a real-world Accenture use case. Basic programming knowledge and familiarity with software development concepts are recommended. By the end of this course, you will be able to: - Understand Generative AI, LLMs, and prompt engineering - Design effective prompts and use ChatGPT in workflows - Build and deploy custom GPTs for dev and design tasks - Use Generative AI tools across the software lifecycle - Apply GenAI in real-world development scenarios Ideal for developers, software engineers, and AI learners.

  Langue d’origine

  Voir les détails: Foundations of Generative AI in SDLC Training
• Affaires

  Tous les niveaux

  Excel: Data Analysis with Formulas/Functions and PivotTables

  In this course, you'll continue developing your data-analysis skills in Excel by analyzing data using formulas and functions. You'll also analyze data using PivotTables. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you have a recent version of Microsoft Excel installed. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

  Langue d’origine

  Voir les détails: Excel: Data Analysis with Formulas/Functions and PivotTables
• Technologie

  Intermédiaire

  Foundations of Machine Learning

  Welcome to the Foundations of Machine Learning, your practical guide to fundamental techniques powering data-driven solutions. Master key ML domains—supervised learning (prediction), unsupervised learning (pattern discovery), data preprocessing & feature engineering, and time series forecasting—using Pandas, Scikit-learn, Statsmodels, and Prophet to tackle real-world challenges. By the end of this course, you'll be able to: - Implement and evaluate key supervised models (e.g., regression, classification, Tree-based models & SVMs) for prediction. - Apply unsupervised methods (e.g., K-Means, Isolation Forest) for segmentation and anomaly detection. - Perform robust data preprocessing: handle missing data, encode categoricals, scale features, and apply dimensionality reduction (PCA). - Build and analyze time series forecasts with ARIMA, Exponential Smoothing, Holt-Winters and Prophet. Through hands-on exercises and a capstone customer purchase prediction project, you'll develop versatile skills to confidently address common machine learning challenges.

  Langue d’origine

  1560 min

  Voir les détails: Foundations of Machine Learning
• Affaires

  Intermédiaire

  Risk Management Planning with Expert Judgement

  In this course we will review the owner’s primary goal in choosing a project delivery method to ensure that the planned project will meet the project goals and objectives, fit within the culture of their organization, and at the same time allow the project to be delivered on time, within budget, and achieve good quality. We will review the primary project delivery method arrangements with their advantages and disadvantages, and cover the three major types of contracts. It is the owner’s requirement to analyze the project delivery method advantages and disadvantages. The best way to do this is to examine the project risks and major categories of project risk. Next, we’ll address design. Good design is a result of collaboration among many different people, including the construction manager, architect, engineers, and owner. Although there is always a lead designer, the project is a combination of the collaborative process and consultation with other experts.

  Langue d’origine

  600 min

  Voir les détails: Risk Management Planning with Expert Judgement
• Affaires

  Intermédiaire

  Generative AI for Consultants

  Transform your consulting practice with Generative AI. Learn how leading consultants use large language models (LLMs) to streamline research, craft sharper proposals, and produce client‑ready deliverables faster—without compromising rigor or ethics. This course blends hands‑on use cases, prompt engineering, and governance best practices to help you operationalize AI across the consulting lifecycle. You’ll practice AI‑assisted market scans, issue trees, hypothesis generation, MECE structuring, storyline development, slide drafting, and Excel‑linked analyses. We’ll cover tool selection, workflow design, quality assurance, and Responsible AI guardrails—so you can deliver outcomes that are accurate, explainable, and secure. By the end, you’ll be able to design AI‑enabled consulting workflows, evaluate model outputs for bias and fidelity, and produce polished client artifacts (proposals, workplans, deliverable outlines) with measurable productivity gains. Ideal for strategy, management, and digital consultants seeking practical, immediately applicable skills.

  Langue d’origine

  Voir les détails: Generative AI for Consultants
• Technologie

  Débutant

  Computer Simulations

  Big data and artificial intelligence get most of the press about computational social science, but maybe the most complex aspect of it refers to using computational tools to explore and develop social science theory. This course shows how computer simulations are being used to explore the realm of what is theoretically possible. Computer simulations allow us to study why societies are the way they are, and to dream about the world we would like to live in. This can be as intuitive as playing a video game. Much like the well-known video game SimCity is used to build and manage an artificial city, we use agent-based models to grow and study artificial societies. Without hurting anyone in the real world, computer simulations allow us explore how to make the world a better place. We play hands-on with several practical computer simulation models and explore how we can combine hypothetical models with real world data. Finally, you will program a simple artificial society yourself, bottom-up. This will allow you to feel the complexity that arises when designing social systems, while at the same time experiencing the ease with which our new computational tools allow us to pursue such daunting endeavors.

  Langue d’origine

  1050 min

  Voir les détails: Computer Simulations
• Technologie

  Débutant

  Formatieren mit Microsoft Excel

  Am Ende dieses Projekts kannst du deine Formatierung in Microsoft Excel einfach anpassen. Außerdem kannst du auch grundlegende bedingte Formatierungen verwenden, um Microsoft Excel ohne Probleme für allerlei Projekte zu nutzen und bestimmte Teile deines Projektes in Excel hervorzuheben. Die Möglichkeit, benutzerdefinierte und bedingte Formatierungen in Microsoft Excel zu verwenden, ermöglicht es dir, Daten besser und schneller auf einen Blick zu sehen. Auf diese Weise kannst du deine Daten visualisieren und es dir und anderen erleichtern, die Daten zu verstehen. Dies wird umso wichtiger, je mehr Daten du in Excel verwendest. Das Ziel dieses Projekts ist es, zu lernen, deine Daten für dich selbst und andere mit Microsoft Excel besser darzustellen.

  Langue d’origine

  Voir les détails: Formatieren mit Microsoft Excel
• Technologie

  Intermédiaire

  Demand Planning in RStudio: Create Demand Forecast

  This Guided Project Demand Planning in RStudio: Create Demand Forecast is for Supply Chain and/or Operations Analysts. In this 2-hour long project-based course, you will learn how: - Analyse demand data and cateogorise products based on trend and seasonality - Model demand data and create demand forecast for a given number of forecasting periods. - Diagnose the demand model; evaluate the forecast; plot and export the output. Benefit: Creating reasonably accurate forecasts enables businesses to make efficient production plans, determine optimal inventory policies, make effective pricing decisions, and achieve better customer satisfaction. Prerequisites: 1. Basic R language (variables, vectors, data frames) 2. Familiarity with RStudio interface 3. Basic overview of Supply Chains / Operations

  Langue d’origine

  120 min

  Voir les détails: Demand Planning in RStudio: Create Demand Forecast