--- title: "Learning / Beginner Category Articles | Data-Driven AI" canonical: "https://data-driven.com/blog/category/learning/beginner/" description: "Browse Data-Driven AI articles for Learning / Beginner. This retained category URL shows the best available match from the published archive." --- Category archive # Read about _Learning / Beginner_ Use this retained archive to open the original articles, or search the full collection for a narrower term. [Browse this archive](#archive-articles) [Search all articles](/blog/) How this list was assembled 7 articles shown The article metadata contains an exact match for this retained archive. Retained archive ## Articles connected to Learning / Beginner Articles are ordered from newest to oldest within this category or tag. [![Security administrator reviewing access to Azure resources](/_astro/nubelson-fernandes-gTs2w7bu3Qo-unsplash.xjhDxZ-t_67vs9.webp)](/blog/azure-role-based-access-control/) Learning ### [Azure RBAC: Roles, Scope, and Governance](/blog/azure-role-based-access-control/) Learn how security principals, role definitions, and scope work together in Azure RBAC, with practical governance and access examples. [![Financial-services team reviewing data governance responsibilities](/_astro/The-Importance-of-Data-Governance-in-the-Financial-Industry.CCgK_qRj_Z2hPWlR.webp)](/blog/data-governance-in-financial-industry/) Learning ### [Data Governance for Financial Services](/blog/data-governance-in-financial-industry/) A practical guide to ownership, quality, access, retention, and regulatory checks for financial-services data teams. [![Financial-services professionals reviewing a data strategy](/_astro/pexels-rodnae-productions-7821514-1.C2r7ILg1_QxR4f.webp)](/blog/data-strategy-for-financial-services-industry/) Learning ### [Data Strategy for Financial Services](/blog/data-strategy-for-financial-services-industry/) Connect business goals to data ownership, architecture, analytics, governance, and operating responsibilities. [![Training examples for a two-class Teachable Machine image model](/_astro/TrainingModels.DUCY95U6_1eG8Lj.webp)](/blog/visual-machine-learning-with-teachable-machine-not-happy-baby/) AI ### [Teachable Machine: A Small Image-Classification Lesson](/blog/visual-machine-learning-with-teachable-machine-not-happy-baby/) A 2019 experiment with Teachable Machine shows how sample size, bias, consent, and testing shape a simple image classifier. [![Presenter and screen from the Titanic survival prediction Tech Talk](/_astro/20190502_224959.ByjsTLjx_Z20ELVs.webp)](/blog/data-science-for-dummies-titanic-survival-prediction-with-azure-machine-learning-studio-kaggle-tech-talk-2-of-9/) AI ### [Titanic Survival Prediction with Azure Machine Learning](/blog/data-science-for-dummies-titanic-survival-prediction-with-azure-machine-learning-studio-kaggle-tech-talk-2-of-9/) An archived beginner Tech Talk using the Titanic dataset, Kaggle, and Azure Machine Learning Studio to introduce classification. [![Databricks artwork used for the 2019 introductory Tech Talk](/_astro/Databricks-unified-analytics-background.Ei32byCp_Z20b5Ar.webp)](/blog/data-science-for-dummies-data-science-overview-with-databricks-tech-talk-1-of-9/) Databricks ### [Data Science Overview with Databricks](/blog/data-science-for-dummies-data-science-overview-with-databricks-tech-talk-1-of-9/) An archived introductory Tech Talk covering the Databricks workflow and its place in the nine-part Data Science for Dummies series. [![Data Science for Dummies Tech Talk series artwork](/_astro/data-science-for-dummies.DyQBFWaJ_1hYo6T.webp)](/blog/data-science-for-dummies-data-engineering-with-titanic-dataset-databricks-python-tech-talk-3-of-9/) Databricks ### [Titanic Data Engineering with Databricks and Python](/blog/data-science-for-dummies-data-engineering-with-titanic-dataset-databricks-python-tech-talk-3-of-9/) An archived Tech Talk showing how the Titanic dataset was prepared and engineered in Databricks before model training. [Return to all articles](/blog/) ## Need a different route through the archive? Search every article, or ask the team about the topic you are researching. [Search all articles](/blog/) [Contact the team](/contact-us/)