Take your SQL expertise to the next level by harnessing the power of SQL functions. Using data from an online shopping platform, this course delves into advanced SQL functions and clauses, helping you summarize, count, and differentiate data to gain deeper insights into shopping datasets.
Overview
Syllabus
- Unit 1: Mastering the COUNT Function
- Counting Rows in SQL
- Counting Conditioned Rows in Orders Table
- Fix the SQL Query
- Counting Rows in a Table
- Counting Selected Customer Orders
- Unit 2: Utilizing DISTINCT for Uniqueness Exploration
- Extracting Category IDs Query
- Finding Unique Category IDs
- Fix the Unique Category Query
- Unique Product with Support Retrieval
- Unique Product Identification Task
- Unit 3: Mastering the SUM Function for Aggregate Calculations
- Summing Orders by Category
- Summing Items Sold by Categories
- Fix the Aggregate Function Query
- Summarize Events by Category
- Mastering SQL Aggregate Functions
- Unit 4: Analyzing Trends with GROUP BY
- Exploring Yearly Shop Performance
- Analyzing Yearly Shop Performance
- Analyze Shop Performance by Years
- Grouping Matches by Season
- Counting Supports by Order Date for Specific Years
- Unit 5: Applying SQL Aggregate Functions to Online Shop Data
- Fix SQL Aggregation Query
- Fix the Aggregate Query
- Calculate Average Supports Selected Per Year
- Calculate Total Supports Selected
- Aggregate Yearly Extended Supports
Reviews
4.0 rating, based on 1 Class Central review
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Mastering SQL functions like COUNT, SUM, AVG, and GROUP BY has been a game-changer in my data analysis journey. These functions are fundamental for summarizing and analyzing data effectively. COUNT helps quickly understand the volume of records, while SUM and AVG are essential for financial and performance metrics, like calculating total revenue or average salary. The GROUP BY clause brings it all together by enabling aggregation across different categories, such as departments or regions. Learning to use these functions not only improved the accuracy of my reports but also enhanced my ability to extract meaningful insights from complex datasets. I highly recommend anyone working with data to master these core SQL tools.