
Explore BI services like Power BI, QuickSight, and Tableau to create interactive dashboards, embed analytics, and gain actionable insights from your data without custom front-end code.

Hands-on demonstration of building a Telegram bot using Apache Kafka and ksqlDB, showcasing real-time data processing, querying, and integration capabilities without additional datastores.

Explore ML.NET for developers: prototype, tweak with data science, and generate code for applications. Learn to create and improve machine learning models using ML.NET Model Builder and basic data science techniques.

Discover essential tips for optimizing big data applications, including storage efficiency, data quality assurance, governance, and automation tools for improved performance and compliance.

Explore embedding interactive data visualizations in apps, covering authentication, APIs, security, licensing, and management for experienced developers.

Explore challenges and patterns in implementing Continuous Delivery for data-driven systems with machine learning, focusing on pain points and practical solutions for complex architectures.

Adapting Continuous Delivery practices for AI applications, enabling rapid updates and maintenance of machine learning models in production environments.

Explore key DevSecOps metrics to measure effectiveness, track essential security KPIs, and visualize results using Azure DevOps. Learn to demonstrate success and drive transformation in your development process.

Discover how HOK uses Unreal Engine to create photorealistic visualizations for Canada's Parliament Centre Block restoration, combining historical architecture with modern technical workflows for precise conservation planning.

Explore mathematical analysis of time-dependent transmission rates in SEIR-like epidemiological models, covering direct and inverse problems, Tikhonov regularization, and practical applications.

Master spreadsheet essentials with hands-on practice in data entry, formulas, charts, pivot tables, and collaboration features. Transform raw data into meaningful insights using practical functions and visualization tools.

Discover how Meta leverages data analytics for product development through a case study of Facebook and Instagram Shops, exploring the crucial roles of Data Engineering and Data Science.

Explore geometric graph analysis through merge trees, learning advanced techniques for measuring distances between networks using directional transforms and multi-labeling schemes.

Explore mathematical modeling approaches in ecology, from theoretical frameworks to data-driven analysis, understanding complex ecological systems and their dynamics.

Master web scraping techniques and anti-ban strategies using Scrapoxy, Scrapy, and Playwright. Learn proxy handling, code deobfuscation, and effective methods to bypass anti-bot systems.

Discover a parameter-free framework for fast sequence alignment through UniAligner, exploring innovative approaches to computational genomics and bioinformatics analysis.

Discover how to leverage Electronic Health Records (EHR) for psychiatric phenotyping, exploring innovative computational methods and applications in mental health research.

Discover innovative approaches to extend biobank research benefits beyond direct participants, exploring methodologies for broader population health insights and applications.

Explore genetic intra-tumor heterogeneity and evolutionary patterns across thousands of cancer genomes, examining key constraints in tumor development and progression.

Discover advanced techniques for phylogenomic tree estimation, including ASTRAL, DISCO, and QR-STAR methodologies for species tree inference and branch length estimation in computational genomics.

Discover the fundamentals of mRNA design through computational approaches, exploring optimization algorithms, stability analysis, and practical applications in modern biotechnology and vaccine development.