Basic Principles of Geostatistical Geospatial Modeling
Ready to harness the power of geostatistics for your data?
In this Geospatial Specialization Course #1: Basic Principles of Geostatistical Geospatial Modeling course, you’ll learn how to identify key variables, address outliers and missing data, and apply univariate and bivariate analyses—all within the versatile R programming environment. You’ll quickly master correlation and covariance matrices, construct dynamic visualizations (histograms, boxplots, crossplots), and uncover insights hidden in your spatial datasets.
Next, you’ll dive into advanced geostatistical techniques, such as building omnidirectional and directional variograms, developing nested models, and performing kriging and co-kriging for precise spatial predictions. You’ll even explore conditional simulation to capture the full range of possible outcomes. Rigorous post-processing methods—including cross-validation, error variance mapping, and isoprobability analyses—let you confidently validate and refine your models.
Whether you’re tackling environmental or mining data (or anything in between), you’ll finish the course with a powerful geostatistical toolbox and the know-how to apply it. Join us and discover how R-powered geostatistical modeling can transform raw data into actionable intelligence!
L'objectif du cours est de permettre une compréhension distanciée du dopage. C’est pour atteindre cet objectif que le cours s’appuie sur une approche pluridisciplinaire qui constitue une opportunité d'observer comment diverses disciplines abordent un même objet, selon différents angles et de manière complémentaire. Il s'agit également de donner des repères permettant d'appréhender le dopage dans sa complexité.
Le dopage dans le sport est une pratique complexe dont la définition et l'identification renvoient à la construction sociale et historique de normes.
Le cours propose une clarification des processus qui ont conduit à l'usage et la prohibition des produits dopants. L'amélioration des performances ou les transformations des apparences sont deux aspects du dopage qui dérangent alors que pourtant les sociétés vantent les mérites de "l'amélioration" du corps et que les marchés du "human enhancement" prospèrent. Ces apparentes contradictions seront analysées en montrant que, au-delà des questions sanitaires, le dopage est au croisement de multiples enjeux sociaux, scientifiques ou encore juridiques.
Pour y faire face, les autorités sportives et étatiques ont contribué à la mise en place d’institutions en charge de l'identification du dopage, de politiques de prévention, de répression et de recherche. Les dispositifs biologiques de contrôle comme le passeport biologique, les dimensions juridiques qui fondent la lutte contre le dopage, les organisations de production de la performance, comme les dimensions sociologiques du dopage seront abordés par ce cours.
Outre les enseignants de l’Université de Lausanne, les meilleurs spécialistes du dopage, d’un laboratoire antidopage (LAD), du TAS (Tribunal Arbitral du Sport), de l’UEFA (football) et de l’AMA (Agence Mondiale Antidopage) interviennent dans ce cours.
Teaser: https://www.youtube.com/watch?v=70ZQVQsWAdo
Objectifs pédagogiques principaux :
A la fin de ce cours les participants seront capables de:
1. Identifier la dimension « culturelle » du dopage, c’est-à-dire comme pratique qui a une histoire en lien avec la transformation de normes sociales
2. Passer d’un mode de raisonnement binaire sur le dopage, pour ou contre, à la compréhension de la complexité d’un phénomène à la fois biologique, psychologique et sociologique
3. Reconnaître les institutions, les acteurs et les pratiques de lutte contre le dopage
4. Expliquer comment le contexte social et organisationnel pèse sur les décisions des individus et comment il peut être réduit par des mesures de prévention.
5. Identifier comment fonctionne la lutte contre le dopage et les procédures de contrôle
Total Rewards & the Role of Compensation & Benefits
This course is the first in ADP’s HR Compensation and Benefit Analyst professional certificate. It begins with an overview of the program, so you know exactly what to expect. Then, you’ll learn about our first key concept: total rewards and the role Compensation and Benefits plays in designing, administering, and managing an organization’s total rewards strategy.
After completing this course, you’ll have the skills to:
• Identify contributing factors of a total rewards strategy that creates value for organizations and employees.
• Determine the role of Compensation and Benefits in terms of the duties and expectations for the general function and the Analyst role.
• Evaluate your strengths and abilities as compared to the skills and competencies of a typical Compensation and Benefits Analyst.
Master Pricing: Balance Profit and Customer Retention
Pricing can often feel like guesswork. You may wonder, “Could I make more profit if I charged more?” but also worry about losing customers. Many businesses simply add a markup to costs, but pricing can be far more nuanced and effective than that.
This course shows you a logical, practical way to find your optimal price (one that increases profits without driving customers away). You'll learn how increasing profits comes from getting your pricing maximised instead of trying to sell more or produce more.
We’ll combine simple calculations with real-world experimentation to identify your ideal price point. No more guessing - just clear strategies. You’ll also learn how to confidently explain and justify your prices so customers understand the value and stay loyal.
We’ll cover proven pricing theories, including skimming, psychological pricing, loss leaders, add-ons, pricing for startups, and strategies for repeat business. You’ll then also discover how to adapt pricing to different situations to grow sustainably while keeping customers happy.
With over 25 years of experience in negotiation, selling, and running a business, Chris Croft has distilled what truly works. If you’re ready to stop guessing and start pricing with confidence, this course will help you make pricing simple and more profitable.
Master Revenue Recognition with IFRS 15 & ASC 606
By the end of this course, learners will be able to define revenue recognition principles, analyze timing and methods under IFRS 15 and ASC 606, compare global standards, and apply recognition techniques to real-world industry cases. Participants will evaluate contract obligations, interpret franchise and installment arrangements, and assess the impact of loyalty programs, telecom bundles, and contract modifications on financial reporting.
This course benefits accounting students, finance professionals, and auditors seeking to strengthen their understanding of revenue recognition. Unlike generic accounting tutorials, it combines practical worked examples with sector-specific applications, ensuring learners can confidently implement the five-step model in diverse contexts.
What makes this course unique is its structured blend of conceptual foundations, industry applications, and global standard comparisons. Through hands-on scenarios and applied case studies, participants gain not just theoretical knowledge but practical skills to navigate complex contracts and reporting requirements in alignment with international standards.
Optimizing Your Google Cloud Costs is the second course in a two-part series on Google Cloud billing and cost management essentials.
This course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure.
You'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts.
In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.
Faites prospérer votre entreprise avec Goldman Sachs 10,000 Women
Ce cours en ligne gratuit est l'un des dix cours disponibles dans la collection 10,000 Women de Goldman Sachs, conçue pour les entrepreneuses prêtes à faire passer leur entreprise au niveau supérieur.
Dans ce cours, vous acquerrez les compétences qui vous aideront à planifier la meilleure façon de développer votre entreprise à l'avenir. Vous apprendrez à identifier les opportunités commerciales et à sélectionner celle qui est la plus progressiste et tournée vers l'avenir, en évaluant sa faisabilité. Vous serez également initiée au plan de croissance (PDC), un outil stratégique qui vous aidera à identifier vos objectifs commerciaux et à guider la croissance de votre entreprise. Si vous choisissez de suivre les dix cours en ligne gratuits, le PDC sera votre principal atout dans le cadre du programme 10,000 Women de Goldman Sachs.
La série de cours du programme 10,000 Women offre une expérience d'apprentissage en ligne flexible. Vous avez la liberté d'aborder le programme de la façon qui vous convient : vous pouvez suivre n'importe quel cours ou combinaison de cours, afin de personnaliser votre expérience d'apprentissage aux besoins spécifiques de croissance de votre entreprise. Si vous choisissez de suivre la totalité des dix cours, vous découvrirez tous les éléments clés de votre entreprise et développerez un plan complet permettant sa croissance.
Pour en savoir plus sur la collection 10,000 Women de Goldman Sachs, consultez la FAQ.
Introduction to Contemporary Operating Systems and Hardware 1c
In this course, you will study the basics of mobile devices and the concepts of virtualization and cloud computing. You will also explore mobile networks and cloud services. The career skills acquired in this course cover the myriad of mobile devices that information technology requires support.
At the end of this course, you will be able to:
- Explain laptop hardware and components.
- Compare and contrast the display components of mobile devices.
- Investigate mobile-device network connectivity and application support.
- Summarize cloud-computing concepts.
- Summarize aspects of client-side virtualization.
Software requirements: Oracle Virtual Box
This comprehensive course empowers learners to identify, construct, and integrate core and advanced components of graphical user interfaces using PySide2, the official Python binding for the Qt framework. Designed for aspiring developers with basic Python skills, the course walks learners through setting up a development environment, building functional GUI elements, and scaling to more sophisticated interfaces involving tab management, layout control, and dynamic data structures.
Through real-world demonstrations and structured practice, learners will progressively demonstrate proficiency in working with input controls, implement event-driven behaviors, and organize interfaces with best practices in layout and interaction design. By the end of the course, learners will be able to create, modify, and optimize complete PySide2 applications that are both responsive and user-friendly.
AWS: Scalability, Deployment, and Provisioning Course is the fifth course of Exam Prep: AWS Certified CloudOps Engineer - Associate Specialization. This course teaches the concepts of high availability and scalability by exploring Amazon RDS in AWS.
By the end of this course, you will be able to:
- Understand Scalability, Elasticity, and Availability in AWS.
- Create, deploy, and provision various configurations using automation best practices.
- Apply deployment and provisioning concepts using AWS CloudFormation.
To succeed in this course, you should have basic knowledge of scaling AWS resources ensuring high availability. One should have basic knowledge of Domain Name System (DNS), and domain name registration.
The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module in order to test the ability of learners.
Dive into the transformative world of generative AI with Microsoft Azure! This course is your hands-on introduction to building intelligent applications, taking you from core concepts to completing multiple hands-on projects. You will start by understanding the fundamentals of what makes generative AI unique and explore its evolution from traditional AI models to the generative approach.
Next, you'll get acquainted with the Azure AI Foundry, Microsoft's powerful platform for AI development. Through practical labs and activities, you will learn to set up your environment, experiment with different AI models, and configure key parameters. The course culminates in you designing, building, and refining your own text generation application. Crucially, you will also learn to integrate essential ethical principles, ensuring your AI solutions are responsible and safe. By the end, you won't just understand generative AI; you'll have the practical skills to build with it.
