Big Data and AI

Module 4 – Working with Tables Excel Tables are one of the most powerful tools for organizing, analyzing, and updating data. Unlike normal ranges, Tables automatically expand, apply formatting, update formulas, and provide structured references that make your spreadsheets more reliable and easier to maintain. In this module, you will learn how to: Convert a normal range into an Excel Table Use Table features such as sorting, filtering, and banded rows Apply and customize Table styles Use structured references in formulas Add and remove columns dynamically Use the Total Row for automatic calculations Excel Tables are essential for anyone working with real datasets, reports, dashboards, business analysis, or automation. Once you understand how they work, they become an indispensable tool in your workflow. Lessons in This Module Lesson 4.1 – Creating and Formatting Tables Lesson 4.2 – Sorting and Filtering in Tables Lesson 4.3...

  In real-world databases, data is rarely confined to a single table. To unlock deeper insights, you need to learn how to merge and compare datasets stored in different tables. In this third installment of our SQL tutorial series on Data Analyst BI, we’ll explore: JOIN Operations: Linking rows from multiple tables based on related columns Set Operations: Merging result sets via UNION, INTERSECT, and EXCEPT Mastering these techniques will enable you to build richer reports, enforce data integrity, and answer complex business questions. JOIN Operations JOINs are the cornerstone of combining data across tables . By matching rows on key columns, you can assemble comprehensive views of your data. 1. INNER JOIN Returns only rows that have matching keys in both tables. sql SELECT o.order_id, c.customer_name, o.order_date FROM orders o INNER JOIN customers c ON o.customer_id = c.customer_id; Use INNER JOIN when you need records that exist in both tables—e.g., orders with va...