SQL for Data Science + Data Analytics + Data Visualization

Post published:18 November, 2025
Post category:StudyBullet-22
Reading time:4 mins read

With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems!
⏱️ Length: 7.9 total hours
⭐ 4.42/5 rating
👥 11,594 students
🔄 November 2025 update

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Course Overview
- This comprehensive course transforms learners into proficient SQL users, capable of extracting, manipulating, and visualizing data for impactful business decisions. It bridges raw datasets to actionable insights across diverse professional landscapes.
- Embark on a practical journey through relational databases, understanding data structures and querying to solve complex challenges, with a pragmatic, real-world approach for data analyst and scientist roles.
- Master foundational and advanced SQL, confidently navigating large datasets, uncovering critical patterns, and performing robust data analysis, integrating data science with business intelligence.
- Discover the symbiotic relationship between powerful querying and compelling data visualization, ensuring accurate and effectively communicated analyses, leveraging data as a strategic asset.
Requirements / Prerequisites
- Basic computer literacy and a stable internet connection are fundamental.
- No prior SQL or database experience is required; the curriculum guides absolute beginners.
- A genuine interest in data analysis and transforming information into actionable insights is beneficial.
- Access to a desktop or laptop capable of installing and running Azure Data Studio and extensions.
Skills Covered / Tools Used
- Database Navigation: Connect, explore schemas, and understand table relationships for effective data discovery.
- Complex Data Joins: Master various JOIN operations (INNER, LEFT, RIGHT, FULL OUTER) to combine data from multiple tables for comprehensive reporting.
- Data Transformation: Acquire methods for cleaning, type conversion, string manipulation, and handling NULLs to prepare data for analysis.
- Efficient Querying: Understand SQL query optimization for performance, crucial with large datasets.
- Subqueries & CTEs: Implement advanced logical structures to modularize complex queries, improving readability and execution.
- Conditional Logic: Apply CASE statements for dynamic categorization and custom calculations based on data conditions.
- Analytical Window Functions: Utilize powerful window functions (e.g., ROW_NUMBER, RANK, LAG) for advanced aggregations and comparisons over data partitions.
- Schema Understanding: Grasp fundamental database schema concepts and their influence on query design and data integrity.
- Azure Data Studio Mastery: Become adept with Azure Data Studio’s rich features for script management, intelligent coding, and seamless database interaction.
- Dynamic Data Visualization: Use the SandDance extension within Azure Data Studio to create interactive, exploratory charts, turning query results into compelling visuals.
- Data Quality & Validation: Gain awareness of SQL techniques to identify inconsistencies and validate data accuracy.
Benefits / Outcomes
- Empowered Data Problem-Solver: Confidently navigate complex datasets and formulate precise queries to extract meaningful business insights.
- Robust Analytical Foundation: Build a strong, transferable SQL skill set, foundational for data science, ML, or BI roles.
- Effective Data Storyteller: Analyze and visually present compelling narratives, transforming raw data into actionable insights.
- Enhanced Career Mobility: Boost employability in data-driven industries, opening doors to diverse junior data-centric positions.
- Practical Project Portfolio: Develop real-world projects for a professional portfolio, showcasing tangible SQL and data analysis capabilities.
- Strategic Decision-Making: Influence business strategy by providing accurate, timely, and insight-rich data analyses.
- Confident Data Exploration: Cultivate technical prowess to explore datasets, identify anomalies, and validate data quality.
PROS
- Highly Practical: Strong emphasis on real-world business problems and immediate application.
- Industry-Standard Tools: Hands-on experience with Azure Data Studio and SandDance.
- Time-Efficient: Comprehensive learning delivered in under 8 hours.
- High Learner Satisfaction: Excellent 4.42/5 rating from a large student base.
- Up-to-Date Curriculum: Content updated to November 2025 for relevance.
- Structured Progression: Guides learners smoothly from fundamental to advanced SQL.
CONS
- As a self-paced online course, it requires self-discipline and proactive problem-solving, lacking real-time instructor interaction for complex issues.