SQL Server Full Course Data Analyst | Day 10 | Most Important SQL Functions for Data Analysis

Описание: In Day 10 of the SQL Server Complete Course, the focus is on SQL Server Functions and their real-world practical usage. This session covers basic to advanced SQL functions, including string functions, date & time functions, mathematical functions, and user-defined functions, along with their behavior, limitations, and best practices.

Instead of memorizing functions, the video emphasizes how to use documentation (like W3Schools) effectively and apply SQL functions to data analysis, pattern matching, data updates, and reporting workflows. The session also explains how SQL integrates with Excel and Power BI, making it highly relevant for data analysts, developers, and BI professionals.

By the end of this class, learners understand how SQL functions actually work in real projects, how to prepare data in SQL, and how to use it further in Excel and Power BI for analytics and insights.

⏱️ Timeline / Chapters (Day 10)

00:00 – 03:45 – Introduction to SQL Server functions, Window Functions recap, W3Schools reference

03:46 – 07:30 – DDL, DML, TCL commands, transactions (COMMIT, ROLLBACK, SAVEPOINT)

07:31 – 15:30 – String functions & Date-Time functions (CONCAT, ASCII, FORMAT, DATEADD)

15:31 – 31:30 – PATINDEX, SUBSTRING, REPLACE, CASE WHEN for data manipulation

31:31 – 41:00 – CASE vs REPLACE, Unicode vs ASCII, emoji behavior in SQL Server

41:01 – 58:00 – Date-Time functions (CURRENT_TIMESTAMP, DATEDIFF, DATEADD, FORMAT)

58:01 – 01:18:00 – SQL usage on Cloud (Azure) & importing SQL data into Excel

01:18:01 – 01:34:00 – SQL data preprocessing for Excel & Power BI, time-based extraction

01:34:01 – End – Introduction to User Defined Functions & upcoming sessions roadmap

🎯 Key Takeaways

💡 70–80 SQL functions are commonly used in real projects, not all need memorization

💡 Always rely on official documentation (W3Schools) instead of rote learning

💡 String and Date-Time functions are the most frequently used in analytics

💡 Understanding DDL, DML, TCL commands is essential for transaction control

💡 PATINDEX + SUBSTRING help extract meaningful patterns from data

💡 REPLACE and CASE WHEN are crucial for data customization

💡 Unicode vs ASCII differences explain emoji handling issues in SQL Server

💡 DATEADD, DATEDIFF, and timestamps are critical for time-based analysis

💡 SQL data can be directly connected to Excel and Power BI for live reporting

💡 SELECT INTO helps copy tables without using CREATE

💡 User Defined Functions (UDFs) simplify complex business logic

❓ Frequently Asked Questions (FAQs)

1. Do we need to memorize all SQL Server functions?
No. It’s better to understand usage patterns and refer to documentation when needed.

2. Which SQL functions are most important for analytics?
String and Date-Time functions like SUBSTRING, REPLACE, DATEADD, DATEDIFF.

3. Why do emojis behave differently in SQL Server?
Because of differences between Unicode and ASCII character encoding.

4. How is SQL data used in Excel and Power BI?
Through direct connections, SQL handles cleaning and Excel/Power BI handle visualization.

5. Are SQL functions same in Cloud and On-Premise SQL Server?
Yes, core SQL functions remain the same across environments.

📌 Conclusion

Day 10 provides a practical, industry-focused understanding of SQL Server functions. Instead of memorizing syntax, learners develop a problem-solving mindset, using documentation, functions, and integrations to work with real data. By connecting SQL with Excel and Power BI, this session bridges the gap between data preparation and data visualization, making learners ready for real-world analytics and interview scenarios.

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