SQL Programming for Data Analysis: Ultimate Guide

SQL Programming for Data Analysis: Ultimate Guide, available at $44.99, with 88 lectures, and has 12 subscribers.

You will learn about Installing MySQL Server and Workbench for a seamless database environment setup. Create and manage databases, including creating and dropping databases, managing tables, and verifying data integrity. Utilize SQL for loading and writing data frames, extracting data, and crafting complex scripts to address business questions Understand various SQL business use cases and apply best practices to tackle real company data problems Master SQL joins, including INNER, LEFT, RIGHT, FULL OUTER, and CROSS joins, to combine data from multiple tables. Implement set operations like UNION, INTERSECT, and EXCEPT to combine results from different queries. Perform advanced data manipulation with SQL functions and aggregations, such as SUM, AVG, COUNT, GROUP BY, and HAVING. Develop complex subqueries and utilize Common Table Expressions (CTEs) for improved query readability and performance. Modify data with SQL commands for inserting, updating, and deleting records. Handle errors in transactions, implement error handling and ensure data integrity. This course is ideal for individuals who are Individuals with no prior experience in data analysis tools. or New graduates considering a data analytics career. or Career switchers aiming to become data analysts or upgrade their skills in SQL and database management. It is particularly useful for Individuals with no prior experience in data analysis tools. or New graduates considering a data analytics career. or Career switchers aiming to become data analysts or upgrade their skills in SQL and database management.

Enroll now: SQL Programming for Data Analysis: Ultimate Guide

Summary

Title: SQL Programming for Data Analysis: Ultimate Guide

Price: $44.99

Number of Lectures: 88

Number of Published Lectures: 88

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 88

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Installing MySQL Server and Workbench for a seamless database environment setup.
Create and manage databases, including creating and dropping databases, managing tables, and verifying data integrity.
Utilize SQL for loading and writing data frames, extracting data, and crafting complex scripts to address business questions
Understand various SQL business use cases and apply best practices to tackle real company data problems
Master SQL joins, including INNER, LEFT, RIGHT, FULL OUTER, and CROSS joins, to combine data from multiple tables.
Implement set operations like UNION, INTERSECT, and EXCEPT to combine results from different queries.
Perform advanced data manipulation with SQL functions and aggregations, such as SUM, AVG, COUNT, GROUP BY, and HAVING.
Develop complex subqueries and utilize Common Table Expressions (CTEs) for improved query readability and performance.
Modify data with SQL commands for inserting, updating, and deleting records.
Handle errors in transactions, implement error handling and ensure data integrity.

Who Should Attend

Individuals with no prior experience in data analysis tools.
New graduates considering a data analytics career.
Career switchers aiming to become data analysts or upgrade their skills in SQL and database management.

Target Audiences

Individuals with no prior experience in data analysis tools.
New graduates considering a data analytics career.
Career switchers aiming to become data analysts or upgrade their skills in SQL and database management.

Are you interested in becoming a Data Analyst? Do you want to gain practical skills and solve real-world business problems using SQL? Then this is the perfect course for you! Created by a Senior Data Analyst with extensive experience in the Insurance and Health Care sectors, this course will equip you with foundational knowledge and help you master key SQL functions and techniques for data analysis.

I will guide you step-by-step into the world of SQL for data analysis. With every lecture and lab exercise, you will develop a comprehensive understanding of these concepts to tackle real data problems! This course is designed to be engaging and practical, with a logical flow through essential modules:

Module 1: Creating and Managing Databases
Learn how to create and drop databases, manage tables, load data into tables, and verify data integrity.

Module 2: SELECT Statements
Master basic SELECT queries, filter data with WHERE clauses, sort results with ORDER BY, and handle NULL values.

Module 3: Joins – INNER, LEFT/RIGHT, CROSS, etc.
Understand and apply different types of joins: INNER, LEFT, RIGHT and CROSS joins to combine data from multiple tables.

Module 4: Set Operators
Utilize set operators like UNION, UNION ALL, INTERSECT, and EXCEPT to combine results from multiple queries.

Module 5: Functions and Aggregations
Learn and apply aggregate functions SUM, AVG, COUNT, and perform grouping of data with GROUP BY and HAVING clauses.

Module 6: Subqueries
Write subqueries in SELECT, WHERE, and FROM clauses and use them for complex filtering.

Module 7: Common Table Expressions (CTEs)
Discover the power of CTEs, use them for recursion, and combine them with joins and subqueries.

Module 8: Grouping Sets and Pivot Tables
Implement grouping sets, create and use pivot tables, and apply advanced aggregation techniques.

Module 9: Modifying Data
Perform data modifications with SQL commands for inserting, updating, and deleting records

Module 10: Programming T-SQL
Write variables/parameters and stored procedures;

Module 11: Error Handling
Manage errors in SQL, debug and optimize queries, handle exceptions, and ensure data integrity.

Module 12: Capstone Projects

o Project 1: Airbnb Data Insights: Analyze listing availability, neighborhood popularity, and pricing variations.

o Project 2: E-Commerce Sales Analysis: Analyze sales data by province, compare monthly sales, and identify top products.

Each module contains independent content, allowing you to start from the beginning or jump into specific topics of interest. However, it is recommended to follow the course from Module 1 to Module 9 to fully prepare for the capstone project challenge.

This course is packed with real-world business problems solved during my career as a senior data analyst. You will not only learn theoretical concepts but also gain practical, hands-on experience. Enroll today and take the first step towards mastering data analysis using SQL.

Course Curriculum

Chapter 1: Welcome to the Course

Lecture 1: What You Will Learn: Module 0

Lecture 2: 0_1. Lecture 0A: Course Intro

Lecture 3: 0_2. Lecture 0B: Download, Install and Launch MySQL

Lecture 4: DOWNLOAD COURSE PACK: Datasets, Coding Exercises, Course Outline and Handout

Lecture 5: 0_4. Demo: Overview of Course Folder Structure

Lecture 6: 0_5. Demo: Download MySQL and Install MySQL

Chapter 2: Databases, Data Modeling and Create Database

Lecture 1: What You Will Learn: Module 1

Lecture 2: 1_1. Lecture 1A: Databases and Data Modeling

Lecture 3: 1_2. Lecture 1B: Data Types and SQL Syntax

Lecture 4: 1_3. Lecture 1C: Create Database and ERD Model

Lecture 5: 1_4. Lab 1A – Create Database and Load Data

Lecture 6: 1_5. Lab 1B – How to Create ERD Data Model

Chapter 3: SELECT Statements

Lecture 1: What You Will Learn: Module 2

Lecture 2: 2_1. Lecture 2: SELECT STATEMENTS

Lecture 3: 2_2. Lab 2A – Select Statements: ORDER BY

Lecture 4: 2_3. Lab 2B – Select Statements: WHERE

Chapter 4: Joins: Inner, Outer (Left), Cross, Self and Conditional

Lecture 1: What You Will Learn: Module 3

Lecture 2: 3_1. Lecture 3: Join Operations

Lecture 3: 3_2. Lab 3A – Join Operations: Inner and Outer (Left)

Lecture 4: 3_3. Lab 3B – Join Operations: Cross and Self

Lecture 5: 3_4. Lab 3C – Join Operations: Conditional (Temporal)

Chapter 5: Set Operators

Lecture 1: What You Will Learn: Module 4

Lecture 2: 4_1. Lecture 4: Set Operators

Lecture 3: 4_2. Lab 4A: Set Operators: Union vs Union All

Lecture 4: 4_3. Lab 4B: Set Operators: Intersect

Lecture 5: 4_4. Lab 4C: Set Operators: Except

Chapter 6: Functions and Aggregations

Lecture 1: What You Will Learn: Module 5

Lecture 2: 5_1. Lecture 5: Functions & Aggregations Part 1 – Date, String, Logical and Cond

Lecture 3: 5_2. Lecture 5: Functions & Aggregations Part 2 – Window Function and Agg.

Lecture 4: 5_3. Lab 5A – Functions & Aggregations: Scalar and String

Lecture 5: 5_4. Lab 5B – Functions & Aggregations: Logical

Lecture 6: 5_5. Lab 5C – Functions & Aggregations: Window

Lecture 7: 5_6. Lab 5D – Functions & Aggregations: Group By and Having

Chapter 7: Sub-Queries

Lecture 1: What You Will Learn: Module 6

Lecture 2: 6_1. Lecture 6: Sub-Queries

Lecture 3: 6_2. Lab 6A – Sub-Queries: Scalar

Lecture 4: 6_3. Lab 6B – Sub-Queries: Correlated

Lecture 5: 6_4. Lab 6C – Sub-Queries: Derived Table

Chapter 8: Views, Temp Tables and CTEs

Lecture 1: What You Will Learn: Module 7

Lecture 2: 7_1. Lecture 7: Views, Temp Tables and CTEs

Lecture 3: 7_2. Lab 7A – Create Views

Lecture 4: 7_3. Lab 7B – Create Temp Tables

Lecture 5: 7_4. Lab 7C – Create Common Table Expressions (CTEs)

Chapter 9: Grouping Sets and Pivot Tables

Lecture 1: What You Will Learn: Module 8

Lecture 2: 8_1. Lecture 8: Grouping Sets and Pivot Tables

Lecture 3: 8_2. Lab 8A – Grouping Sets: RollUp

Lecture 4: 8_3. Lab 8B – Create Pivot Tables

Lecture 5: 8_4. Lab 8C – Create Unpivot Tables

Chapter 10: Modifying Data

Lecture 1: What You Will Learn: Module 9

Lecture 2: 9_1. Lecture 9: Modifying Data

Lecture 3: 9_2. Lab 9A – Create Backup Tables

Lecture 4: 9_3. Lab 9B – Insert Records

Lecture 5: 9_4. Lab 9C – Update Records

Lecture 6: 9_5. Lab 9D – Delete Records

Chapter 11: Programming T-SQL

Lecture 1: What You Will Learn: Module 10

Lecture 2: 10_1. Lecture 10: Programming T-SQL

Lecture 3: 10_2. Lab 10A – Commenting

Lecture 4: 10_3. Lab 10B – Variable/Parameters

Lecture 5: 10_4. Lab 10C – Stored Procedures

Chapter 12: Error Handling in SQL

Lecture 1: What You Will Learn: Module 11

Lecture 2: 11_1. Lecture 11: Error Handling in SQL

Lecture 3: 11_2. Lab 11A – Error Handling

Lecture 4: 11_3. Lab 11B – Intro to Transactions

Chapter 13: Capstone Projects

Lecture 1: Capstone Project 1: OpenAirBnB

Lecture 2: 12_2. Capstone Project 1: Setup Database

Lecture 3: 12_3. Capstone Project 1: Question 1

Lecture 4: 12_4. Capstone Project 1: Question 2

Lecture 5: 12_5. Capstone Project 1: Question 3

Lecture 6: 12_6. Capstone Project 1: Question 4

Lecture 7: 12_7. Capstone Project 1: Question 5

Lecture 8: 12_8. Capstone Project 1: Question 6

Lecture 9: 12_9. Capstone Project 1: Question 7

Lecture 10: 12_10. Capstone Project 1: Question 8

Lecture 11: 12_11. Capstone Project 1: Question 9

Lecture 12: 12_12. Capstone Project 1: Question 10

Lecture 13: 12_13. Capstone Project 1: Question 11

Lecture 14: 12_14. Capstone Project 1: Question 12

Lecture 15: 12_15. Capstone Project 1: Question 13

Lecture 16: 12_16. Capstone Project 1: Question 14

Lecture 17: 12_17. Capstone Project 1: Question 15

Lecture 18: 12_18. Capstone Project 1: Question 16

Lecture 19: 12_19. Capstone Project 1: Question 17

Lecture 20: 12_20. Capstone Project 1: Question 18

Lecture 21: Capstone Project 2: E-Commerce (Extra)

Lecture 22: 12_21. Capstone Project 2: E-Commerce – Solution (Text Reminder)

Chapter 14: CONGRATULATIONS!!!

Lecture 1: Course Wrap Up

Instructors

Taesun Yoo
Senior Data Analyst at Insurance Board

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu