Autre
Tous les niveaux
Voir les détails: probe via tunnelprobe via tunnel
tunnel connectivity probe
Langue d’origine
Explorer les contenus d’apprentissage
12 053 cours
Résultats
- AutreTous les niveauxVoir les détails: probe
probe
connectivity probe
Langue d’origine
- TechnologieAvancéVoir les détails: Causal Inference
Causal Inference
This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study methods for collecting data to estimate causal relationships. Students will learn how to distinguish between relationships that are causal and non-causal; this is not always obvious. We shall then study and evaluate the various methods students can use — such as matching, sub-classification on the propensity score, inverse probability of treatment weighting, and machine learning — to estimate a variety of effects — such as the average treatment effect and the effect of treatment on the treated. At the end, we discuss methods for evaluating some of the assumptions we have made, and we offer a look forward to the extensions we take up in the sequel to this course.
Langue d’origine
1440 min - TechnologieDébutantVoir les détails: Looker Functions and Operators
Looker Functions and Operators
This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to use Looker to pivot dimensions, reorder columns, remove fields, and use table calculations.
Langue d’origine
60 min - AffairesDébutantVoir les détails: Strategic Sourcing
Strategic Sourcing
This course will provide a detailed overview of a Strategic Sourcing Process (7 step Process): Profile the Category, Develop a Category Sourcing Strategy, Generate Supplier Profile, Choose Competitive Selection or Supplier Development, Select Supplier(s) and Negotiate, Implement, Continuous Improvement/Supplier Relationship Management This course learnings will be supported videos, readings a a required case with peer review.
Langue d’origine
- AffairesTous les niveauxVoir les détails: Tax Planning and Wealth Management Basics
Tax Planning and Wealth Management Basics
Learn how to optimize wealth, reduce tax liability, and design effective financial plans using practical taxation and estate planning strategies. Build real-world skills in tax calculation, retirement planning, capital gains analysis, and wealth protection. This course provides a comprehensive introduction to taxation, estate planning, and financial planning concepts used in personal and business financial management. You’ll learn how taxation systems operate, how income is classified, and how individuals and businesses apply tax-saving strategies to improve financial outcomes and long-term wealth creation. Throughout the course, you’ll explore retirement planning concepts, pension reforms, estate planning tools, insurance-based tax benefits, and wealth transfer strategies that support long-term financial security. The course also examines capital gains taxation, salary and property taxation, depreciation rules, and business income calculations used in financial decision-making and compliance planning. Advanced modules introduce tax planning strategies, legal taxation frameworks, advance tax provisions, employee tax benefits, and business restructuring concepts. Through practical case studies and Excel-based financial planning exercises, learners gain hands-on experience evaluating assets, liabilities, investment strategies, and goal-based financial plans. What makes this course unique is its integrated approach that combines taxation, estate planning, and practical financial analysis within one structured learning journey. By the end of the course, you’ll be able to confidently apply taxation concepts, evaluate tax-efficient strategies, support wealth management decisions, and design effective long-term financial plans for individuals and businesses.
Langue d’origine
- TechnologieDébutantVoir les détails: Product Launch and Post-Launch Management
Product Launch and Post-Launch Management
Navigate the journey of launching a new product into the market and managing its lifecycle post-launch. This course covers planning successful launches, developing marketing and sales strategies, ensuring product quality, and managing post-launch activities. Learn to execute enterprise software deployments, ensure compliance monitoring, and conduct thorough testing. Develop effective marketing strategies across various channels, create compelling sales strategies, and analyze market feedback. Implement quality assurance and control techniques, monitor product performance using KPIs, and gather customer feedback. Plan and implement product updates and enhancements, and apply data-driven insights to make informed decisions. Learn to utilize generative AI in product management and manage AI product lifecycles, including performance monitoring, iterative updates, and ethical considerations. By the end of the course, you will be able to: - - Plan and coordinate a successful product launch. - Develop and implement product marketing and sales strategies. - Apply quality assurance and control techniques to ensure product quality. - Manage the product life cycle post-launch, including updates and improvements. - Complete a final project that Explain the ability to launch and manage a product. -Execute enterprise software deployments -Ensure compliance monitoring A Microsoft 365 license or free trial is needed to complete the course activities.
Langue d’origine
540 min - TechnologieDébutantVoir les détails: Practical Vim Editor Commands On Linux
Practical Vim Editor Commands On Linux
Vim, or vi improved, is a standard editor on Linux. It comes with virtually every version of Linux out there and is available on Mac and Windows as well. If you are in a situation where you need to edit from the command line, for example when you ssh into another system, vim will be there. Vim is an ordinary text editor, like notepad. It inserts no special characters into the text document unless you tell it to. Vim has some powerful commands that make it fast and efficient. Vim also has a large user community, so once you are up and running with it, you can easily find the commands you are looking for online. In this course, you will clean and standardize a Vocabulary list file using Vim commands. You will come away with a gentle and not overwhelming introduction to the Vim editor. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Langue d’origine
60 min - TechnologieIntermédiaireVoir les détails: Collaborate with Mentions
Collaborate with Mentions
Collaborate with Mentions is an intermediate-to-advanced short course designed for IT managers and professionals who collaborate across distributed teams using shared documents and digital workspaces. In modern organizations, clarity, accountability, and timely feedback often depend on how effectively teams use collaboration features—not just the tools themselves. In this course, learners will explore three essential collaboration features—@mentions, inline comments, and page likes—and understand when and why to use each one. Through realistic workplace scenarios, guided reflections, and hands-on practice, learners will move from recognizing collaboration signals to applying them correctly in context. They will practice highlighting content, adding inline comments, and @mentioning the right stakeholders to request clarification or action—without creating noise or confusion. By the end of the course, learners will be able to choose the right collaboration feature for a given situation and apply it confidently in real documents. These skills support clearer communication, faster reviews, and better alignment across cross-functional teams—especially in IT management and change facilitation environments.
Langue d’origine
- TechnologieDébutantVoir les détails: Polars from Zero
Polars from Zero
Polars is a fast columnar DataFrame engine built on Apache Arrow, and this course teaches you to use it from Rust to do real data-engineering work. You will configure a Cargo project with the lazy and csv feature flags, load wine-ratings.csv into a typed DataFrame, and learn the difference between eager DataFrames for exploration and lazy LazyFrames for production. You will compose select, filter, slice, sort, group_by, agg, and join expressions, then read explain output to see predicate pushdown and projection pushdown rewrite your query before it runs. Module 2 puts the API to work cleaning a real wine-ratings dataset with documented drop, fill, and normalize rules. Module 3 wires everything into wine-pipeline, three Rust CLI binaries that implement a bronze, silver, gold medallion architecture over a shared SQLite database and export a top-10 grape leaderboard as CSV and JSON. By the end you will have a complete, runnable Rust pipeline you can adapt to any tabular dataset.
Langue d’origine
900 min - TechnologieIntermédiaireVoir les détails: Hands-on Data Centric Visual AI
Hands-on Data Centric Visual AI
This comprehensive course is a hands-on guide to developing and maintaining high-quality datasets for visual AI applications. Learners will gain in-depth knowledge and practical skills in: discovering and implementing various labeling approaches, from manual to fully automated methods; assessing and improving annotation quality for object detection tasks, including identifying and correcting common labeling issues; analyzing the impact of bounding box quality on model performance and developing strategies to enhance label consistency; use advanced tools like FiftyOne and CVAT for dataset exploration, error correction, and annotation refinement; addressing complex challenges in computer vision, such as overlapping detections, occlusions, and small object detection; implementing data augmentation techniques to improve model robustness and generalization; and applying concepts like sample hardness and entropy in the context of model training and dataset curation. Through a combination of theoretical knowledge and hands-on exercises, students will learn to create, maintain, and optimize datasets that lead to more accurate and reliable visual AI models.
Langue d’origine
1200 min - TechnologieIntermédiaireVoir les détails: Work with Gemini Models in BigQuery - 简体中文
Work with Gemini Models in BigQuery - 简体中文
이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다.
Langue d’origine