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A comprehensive, advanced learning track designed for backend engineers aiming to master production-grade distributed systems with Spring. This track focuses on microservices architecture, resilience, observability, advanced testing, and real-world system design using Java and Spring technologies. It is tailored for professionals seeking deep expertise in Spring's advanced capabilities for robust, scalable, and secure backend solutions.

Begin an exciting journey through SQL with Advanced Techniques in SQL. Learn about the important ACID properties that help keep data accurate in database transactions. Discover advanced ways to optimize your queries to improve database performance. Explore special SQL features like window functions, triggers, Data Control Language (DCL), and NoSQL databases. This will help you handle modern database management confidently and effectively.

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Covers the core skills required for data analysis using Python. Introduces foundational programming concepts and progresses to applied data analysis workflows, including numerical computing, data manipulation, statistics, exploratory data analysis, hypothesis testing, A/B testing.

Explore the essentials of Java properties and configuration management. This course guides you through the practical use of properties files, system properties, environment variables, and advanced configuration techniques for robust Java applications.

Build a complete data science workflow to predict dynamic taxi fares using linear regression. Explore, clean, and analyze real-world ride and weather data, engineer features from timestamps, and interpret model results to understand the impact of weather conditions, time of day, and surge pricing mechanisms.