
Explore ethical considerations in data science, covering data collection, storage, analysis, and modeling. Learn practical strategies to address ethical challenges in your work.

Explore data visualization techniques using Power BI, covering key features, data modeling, and creating impactful visualizations for effective business intelligence and reporting.

Explore topological data analysis in non-Euclidean spaces, focusing on techniques for applying TDA tools and their applications in detecting neural network backdoor attacks.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore data cleaning and labeling techniques using a cocktail dataset, gaining insights for effective data preparation in business analytics projects.

Explore data engineering: goals, skills, tools, and its role in the data ecosystem. Learn how data engineers support data scientists and drive business success through effective data management.

Explore digital twin technology for fleet modeling in this interactive workshop, connecting researchers with stakeholders to solve real-world problems.

Comprehensive tutorial on Microsoft data analysis tools, covering Excel, Power Query, Power BI, and more. Learn formulas, data modeling, and visualization techniques for effective data analysis.

Comprehensive tutorial on Microsoft data analysis tools, covering Excel, Power Query, Power BI, and more. Learn to import, transform, and visualize data using various techniques and formulas.

Explore structured data organization with Dataverse, ideal for businesses with low database maturity seeking to enhance their data management practices.

Explore Power Query's internals and gain a deeper understanding of this increasingly prevalent tool in Power BI and Fabric technologies.

Stand out in Power BI job interviews with a simple yet effective trick to showcase your report creation skills, even without extensive experience.

Explore challenges and solutions for integrating Apache Spark with NoSQL databases like MongoDB and Cassandra in high-volume transaction processing systems, focusing on performance optimization and data modeling.

Master data build tool (DBT) for efficient data product development, including CICD, pipelines, validation, quality testing, deployment, and monitoring.

Explore Apache Pinot's real-time analytics capabilities, architecture, and data model. Learn about its query language, indexing, and use cases in high-performance applications.

Explore a multi-stage framework for generating synthetic data from aggregated sources, focusing on downscaling techniques and real-world applications in data privacy and model performance improvement.

Discover how Data Radar Maps and data-informed models drive product growth through real-world case studies and practical insights for product teams seeking data-driven success.

Comprehensive tutorial on DAX fundamentals in Power BI, covering calculated columns, measures, context, functions, and advanced techniques for efficient data analysis and reporting.

Explore advanced BI integrations for Databricks SQL, including seamless connections with Power BI and Tableau, data model syncing, and updates on drivers and connectors.

Streamline data warehouse development using metadata-driven approaches. Learn efficient techniques for Insert/Update/Delete operations and pipeline management.

Learn practical, visual steps to evaluate CALCULATE expressions with multiple filters/modifiers in Power BI, enhancing your data modeling and visualization skills.