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118770712
ADVANCED SQL FOR DATA ANALYSTS: Leverage SQL for Complex Data Queries and Analysis
Item #:
118770712
MYR 43
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Product Details
- Advanced SQL for Data Analysts: Leverage SQL for Complex Data Queries and AnalysisTake your data analysis skills to the next level with Advanced SQL for Data Analysts. This comprehensive guide is tailored for data analysts, business intelligence professionals, and data enthusiasts who want to master advanced SQL techniques to extract actionable insights from complex datasets. Whether you're working with relational databases or analyzing massive amounts of data, this book provides the tools and strategies you need to write efficient queries, optimize performance, and solve sophisticated analytical challenges.With step-by-step examples, real-world scenarios, and hands-on exercises, Advanced SQL for Data Analysts equips you with the expertise to tackle the most demanding data queries and analysis tasks.What You’ll Learn:Advanced Query Techniques: Explore advanced SQL queries, including recursive CTEs, subqueries, and correlated queries.Window Functions: Use window functions to perform advanced calculations like rankings, cumulative sums, and moving averages.Data Aggregation and Summarization: Learn to aggregate and summarize large datasets for in-depth insights.Pivoting and Unpivoting Data: Transform and reshape your data to uncover new perspectives.Performance Optimization: Optimize query performance with indexing, query execution plans, and database tuning.Complex Joins and Relationships: Master advanced join operations for querying data across multiple tables.Temporal Data Analysis: Handle and analyze time-series data using SQL date and time functions.Dynamic SQL: Create dynamic and flexible SQL queries that adapt to changing requirements.Data Cleaning and Transformation: Apply SQL techniques for cleaning and preparing raw data for analysis.Advanced Filtering and Conditional Logic: Use CASE statements, complex WHERE clauses, and custom filtering logic.Error Handling: Build robust queries with error handling mechanisms for cleaner results.Database-Specific Features: Learn to leverage advanced features in platforms like PostgreSQL, MySQL, and SQL Server.SQL for Machine Learning Preparation: Use SQL to preprocess and structure data for machine learning pipelines.Reporting and Dashboarding: Build SQL-driven reports and integrate with visualization tools like Tableau and Power BI.Big Data and SQL: Discover how SQL integrates with big data platforms such as Hive, Spark SQL, and Snowflake.Real-World Use Cases: Solve business problems in finance, marketing, healthcare, and more using advanced SQL.Why This Book?With practical examples and actionable insights, Advanced SQL for Data Analysts bridges the gap between basic SQL knowledge and the advanced skills required for modern data analysis. Whether you're solving complex business problems, creating dashboards, or supporting data-driven decision-making, this book equips you with the expertise to succeed.Start leveraging the power of advanced SQL today with Advanced SQL for Data Analysts: Leverage SQL for Complex Data Queries and Analysis—your definitive guide to mastering SQL for sophisticated data analysis.
| Publication date | January 20, 2025 |
| Language | English |
| File size | 688 KB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 222 pages |
| Page Flip | Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
ADVANCED SQL FOR DATA ANALYSTS: Leverage SQL for Complex Data Queries and Analysis
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MYR 43
This product is not Fulfilled by Ubuy and can take minimum 10 days in delivery. We might cancel the product from the order and refund you if any issue arise with the delivery of this product.
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- Master advanced SQL techniques for extracting actionable insights.
- Learn from step-by-step examples and real-world scenarios.
- Optimize performance and solve complex data analysis challenges.
- Explore advanced queries, window functions, and data aggregation.
- Build robust SQL queries with error handling and cleaning techniques.
- Gain expertise for modern data analysis applicable in various industries.
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