Learn Intermediate Sql For Data Analysis In Layman Terms!

Learn SQL for Data Analysis: Master Aggregate Function, GROUP BY, CASE, Joins, UNION, and More for Business Intelligence

What you'll learn

Master SQL aggregate functions like COUNT, SUM, and AVG to analyze large datasets efficiently and draw meaningful insights for business decisions.

Understand and apply advanced SQL JOIN operations to combine data from multiple tables, enhancing your data analysis capabilities.

Leverage SQL comparison operators and logical expressions to filter and segment data for deeper analysis and targeted insights.

Build proficiency in intermediate SQL techniques, laying the foundation for complex queries and advanced data analysis in real-world scenarios.

Requirements

Basic understanding of SQL: Familiarity with SQL fundamentals, including basic queries, filtering, and sorting data.

Completion of my previous course, "Learn SQL for Data Analysis in Layman Terms for Non-Techies!"

Access to a SQL environment: Students should have access to a SQL database environment such as MySQL, SQL Server, or PostgreSQL for hands-on practice.

Willingness to learn: A keen interest in advancing SQL skills and applying them to data analysis and business intelligence scenarios.

Description

This SQL for Data Analysis course is designed for business professionals, especially those involved in data analytics and business intelligence. If you're looking to learn SQL for data analysis and want to improve your ability to make data-driven decisions, this course is for you. We will dive deep into the world of SQL for business analysts, teaching you the essential skills to efficiently analyze, manipulate, and visualize data.Throughout the course, you'll gain hands-on experience in using SQL for data analysis with real-world examples. You'll learn to work with SQL for reporting and use advanced techniques such as aggregate functions, GROUP BY, CASE statements, and SQL joins. These skills are crucial for anyone looking to excel in data analysis and data analytics with SQL. We will also focus on practical applications that will allow you to generate insightful reports and make informed business decisions.This course is not for SQL developers, but for those looking to use SQL in a BI context. You'll focus on analysis, reporting, and visualization—skills that are in high demand for business analysts and data-driven professionals. Whether you're starting your career in SQL for business intelligence or you're enhancing your existing skillset, this course will equip you with the knowledge and practical skills you need for data analysis using SQL. By the end of the course, you'll be able to apply SQL to real-world business problems, creating actionable insights to drive business growth.

Overview

Section 1: Welcome to Intermediate SQL: Build Advanced Data Analysis Techniques

Lecture 1 Introduction to Intermediate SQL: Preparing for Advanced Data Analysis Technique

Lecture 2 Unlocking New SQL Skills: Why Go Beyond the Basics

Section 2: SQL Aggregate Functions: Key Techniques for Summarizing and Analyzing Data

Lecture 3 Overview of SQL Aggregate Functions: COUNT, SUM, AVG, and More!

Lecture 4 SQL COUNT Function Explained: Instantly Count All Rows in SQL with Ease!

Lecture 5 How to Use SQL's COUNT to Analyze Individual Columns Like a Data Pro!

Lecture 6 Sharpen your SQL skills with Practice Problem

Lecture 7 Practice Problem Solution

Lecture 8 Sharpen your SQL skills with Practice Problem

Lecture 9 Practice Problem Solution

Section 3: Power Up Your Data Analysis with SQL’s Sum Functions - Explained!

Lecture 10 Mastering SQL’s SUM Function for Totaling Column Values

Lecture 11 Sharpen your SQL skills with Practice Problem

Lecture 12 Practice Problem Solution

Section 4: Uncover the Smallest and Largest Values with SQL MIN and MAX

Lecture 13 From Smallest to Largest: The Magic of MIN and MAX in SQL

Lecture 14 Sharpen your SQL skills with Practice Problem

Lecture 15 Practice Problem Solution

Section 5: The SQL AVG Function Explained: Calculate Averages Like a Pro

Lecture 16 Crunching Numbers Made Easy with SQL's AVG Function!

Lecture 17 Sharpen your SQL skills with Practice Problem

Lecture 18 Practice Problem Solution

Section 6: Organize and Analyze: GROUP BY for Smarter Data Insights

Lecture 19 Why GROUP BY is Essential for Complex Data Analysis

Lecture 20 Sharpen your SQL skills with Practice Problem 1

Lecture 21 Practice Problem Solution

Lecture 22 SQL Pro Tips: Using GROUP BY with ORDER BY for Precise Data Insights

Lecture 23 Extracting the Best: Using GROUP BY and TOP for Targeted Insights

Lecture 24 Sharpen your SQL skills with Practice Problem 2

Lecture 25 Practice Problem Solution

Lecture 26 Sharpen your SQL skills with Practice Problem 3

Lecture 27 Practice Problem Solution

Section 7: SQL Secrets: Filtering with HAVING After GROUP BY

Lecture 28 SQL HAVING Clause: The Missing Piece for Data Analysis

Lecture 29 Advanced Filtering in SQL: Dive into the HAVING Clause

Section 8: Transform Your SQL Queries with CASE Logic

Lecture 30 CASE in Action: Using CASE to Handle Conditional Logic in SQL

Lecture 31 Sharpen your SQL skills with Practice Problem

Lecture 32 Practice Problem Solution

Lecture 33 Dynamic Analysis: CASE Expressions and Aggregated Functions

Section 9: Clean Your Data: Exploring the Power of SELECT DISTINCT

Lecture 34 Say Goodbye to Duplicates: The Magic of SELECT DISTINCT

Lecture 35 SQL Hack: Using DISTINCT to Refine Aggregate Results

Lecture 36 Sharpen your SQL skills with Practice Problem

Lecture 37 Practice Problem Solution

Section 10: SQL Joins Demystified: Building Connections Between Tables!

Lecture 38 Why SQL Joins Are the Heart of Relational Databases

Lecture 39 Practical Inner Join Examples to Elevate Your SQL Skills

Lecture 40 SQL LEFT JOIN: Include Everything from the Left Table

Lecture 41 All Rows from the Right Table? That’s RIGHT JOIN!

Lecture 42 Unleashing FULL JOIN: Bringing All Data Together

Lecture 43 SQL Joins Using WHERE: The Old-School Technique You Must Know

Lecture 44 Sharpen your SQL skills with Practice Problem

Lecture 45 Practice Problem Solution

Lecture 46 Boost Your SQL Skills: Joins with Additional Filter Condition

Section 11: From Separate Tables to One View: Learn SQL UNION Today!

Lecture 47 Stacking Data with SQL UNION: The Basics Explained

Lecture 48 SQL UNION with Conditions: Beyond Simple Data Stacking

Section 12: SQL Self Joins Simplified: Connecting a Table to Itself

Lecture 49 Understanding SQL Self Joins With Real-Life Examples

Section 13: Congratulations! Your SQL Journey Continues

Lecture 50 Thank You and What’s Next in Your SQL Mastery Journey

Lecture 51 Exclusive Opportunity: Job Referrals at a Big 4 Firm

Aspiring Data Analysts looking to advance their SQL skills.,Business Intelligence professionals aiming to enhance data analysis capabilities.,Non-Techies who have completed the beginner SQL course and want to tackle more complex queries.,Students and professionals in non-IT fields who need to leverage SQL for data-driven decision-making.