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Implement Polybase in Azure Synapse SQL Pool to query data stored in Azure Data Lake Storage using SQL. Learn to set up resources, configure Polybase, and execute SQL queries on external files.
Create color gradients in Adobe Illustrator: Learn to combine shapes, apply colors, and use gradient tools for vector graphics. Enhance your design skills and create unique logos and artwork.
Create a professional client welcome kit using Canva, incorporating design elements to communicate business expectations and showcase services effectively.
Leverage GPT-4 to extract insights from e-commerce sales data, enhancing data-driven decision-making and maintaining industry leadership through AI-powered analysis techniques.
Learn to use AI for personalized marketing campaigns, synthesizing data to create customer personas and tailored content for emails and social posts.
Aprende a crear artÃculos cientÃficos profesionales con LaTeX: personaliza documentos, agrega imágenes, tablas y ecuaciones, y comprende templates para futuros proyectos.
Learn to apply various decryption algorithms and techniques using Python, including reverse cipher, Caesar Cipher, Fernet symmetric, and RSA asymmetric encryption algorithms.
Learn to build a REST API with Azure Serverless Functions and API Management, covering HTTP triggers, parameter handling, and creating a unified API interface using NodeJS.
Learn AngularJS fundamentals and build a practical bill splitter app. Covers modules, MVC architecture, directives, data binding, controllers, filters, and form validation in just 1.5 hours.
Learn to apply Test-Driven Development (TDD) using Python's unittest package, creating tests before implementation to ensure robust code and continuous verification of functionality.
Learn to create a comprehensive data quality report in R, analyzing key statistical metrics and identifying dataset characteristics for effective preprocessing and analysis.
Train and deploy a semantic segmentation model on Amazon SageMaker to classify pet image pixels as foreground, background, or unclassified using the IIIT-Oxford Pets Dataset.
Gain practical skills in financial statement analysis, journal entries, and accounting tasks while understanding the importance of financial reporting for decision-making.
Learn to build and train regression models using Scikit-Learn, exploring algorithms like support vector machines, random forests, and gradient boosting. Gain practical skills applicable to various industries.
Learn to analyze demand data, create forecasts, and evaluate models using RStudio. Gain practical skills in demand planning for efficient production, inventory management, and pricing decisions.
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