
Explore anomaly detection techniques to combat human trafficking through financial data analysis. Learn to leverage transaction patterns and industry indicators for effective detection.

Explore retail AI demand prediction models, KPIs, and implementation strategies for effective business use cases in the retail industry.

Develop an analytic forecasting framework for COVID-19 vaccination demand in Canadian pharmacies using historical data, geospatial demographics, and digital surveys.

Discover how data mining transforms healthcare through accessible tools and techniques, focusing on diagnosis, therapy discovery, and medical research - no programming experience needed.

Explore how VR gaming leverages data analytics to understand player behavior, create personalized experiences, and overcome unique challenges in immersive virtual environments.

Discover statistical methods for monitoring data integrity in research, focusing on techniques to identify truthful results and detect potential research misconduct in clinical trials.

Master essential Excel formulas with step-by-step guidance. Learn VLOOKUP, IF statements, COUNTIF, and more. Practical examples and timestamps for easy navigation make this tutorial perfect for beginners.

Learn 10 time-saving Excel techniques, from inserting hyperlinks to creating gauge charts. Enhance productivity with step-by-step tutorials suitable for beginners and intermediate users alike.

Enhance spreadsheet skills with advanced functions, data validation, lookups, sorting, and formatting. Master logical operations, statistical analysis, and efficient data organization techniques.

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

Explore challenges and lessons learned in developing AI-powered assistants for data visualization, addressing unique issues in business intelligence workflows and data exploration.

Comprehensive Python guide covering basics to advanced topics. Learn essential skills for software development, data science, and machine learning. Ideal for beginners and professionals seeking to enhance their Python expertise.

Explore practical applications of functional data analysis with insights from Qiwei Yao of the London School of Economics, covering key concepts and methodologies.

Learn to build custom thematic investing tools using Bloomberg data and Databricks Platform. Explore cloud-based data management, machine learning, and visualization techniques for portfolio optimization.

Spark-based AutoML framework for scalable time series forecasting of IT infrastructure resources, enabling efficient long-term planning and daily dynamic provisioning.

Explore Daft, a next-gen distributed query engine for processing multimodal data at scale. Learn to build a multimodal data lakehouse using familiar dataframe interfaces on existing infrastructure.

Comprehensive guide to creating and utilizing Notion Charts, covering various types and applications with practical examples and advanced techniques for data visualization.

Learn to create custom exploration reports and analyze advertising performance in Google Analytics, enhancing your ability to dive deep into data and optimize marketing campaigns.

Learn to navigate and customize Google Analytics reports, including acquisition, engagement, monetization, user attributes, and technology, to gain valuable insights into your website's performance.

Explore challenges and techniques for evaluating machine learning models with non-IID data, focusing on spatial autocorrelation, concept drift, and phylogenetic non-independence.

Explore submodular maximization against deletions, learning about coresets and algorithms for robust optimization in data science problems. Gain insights from Nikolaj Tatti's research on streaming and offline approaches.