Course Content
Introduction: How to Become a Data Analyst
How to Become a Data Analyst
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Installing MySQL and create a database for Windows, MacOS, and Linux
How to Installing MySQL and create a database.
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SELECT Statement and Where Clause in MySQL
Starting your Data Analysis Properly
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LIMIT` + ALIASING` Group by+ Order By, Having Vs Where in MySQL
LIMIT` + ALIASING`
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JOINS
Joins in MySQL
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Unions in MySQL
Unions in MySQL
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Window functions in MySQL
Window functions:- in MySQL
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Common Table Expressions (CTEs) in MySQL and Temp Tables
Common Table Expressions (CTEs) in MySQL
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stored procedures
stored procedures.
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Triggers and Events in MySQL
Triggers and Events
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Data Cleaning in MySQL
Data Cleaning in MySQL
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MSQL EXPLORATORY DATA ANALYSIS
MSQL EXPLORATORY DATA ANALYSIS
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Data Analyst Resume
Data Analyst Resume
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How To Download Your Data Analyst Bootcamp Certification (Congrats!!)
How To Download Your Data Analyst Bootcamp Certification (Congrats!!)
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Guide to Data Analysis for Beginners

Introduction

MySQL is the world’s most popular open-source relational database, a lightning-fast, ACID-compliant engine that powers everything from WordPress blogs to Netflix’s real-time analytics, handling billions of rows with sub-millisecond response times in 2025. Born in 1995 by MySQL AB in Sweden.

it was acquired by Sun Microsystems in 2008 and then Oracle in 2010, yet remains freely available under GPL with a thriving community driving biannual releases. Built on structured query language, it organizes data into tables with defined schemas—columns of fixed types like INT, VARCHAR, DATETIME, JSON—enforced by constraints for integrity.

Storage engines like InnoDB (default) ensure crash-safe transactions, while MyRocks and TokuDB optimize for write-heavy or compression needs. Replication turns one server into high-availability clusters; sharding via Vitess scales to petabytes. Indexing—B-tree, full-text, geospatial—accelerates queries from full scans to log-time lookups. Security features include role-based access, SSL encryption, and data masking. JSON support blends NoSQL flexibility with SQL rigor, storing documents alongside relational data. In lecture terms, MySQL is the backbone of the modern web: LAMP stack (Linux, Apache, MySQL, PHP) still runs 60% of dynamic sites.

It supports window functions, CTEs, and generated columns in 8.0+, making complex analytics native. Used by Meta, Uber, and Shopify, it proves relational databases aren’t legacy—they’re evolved. Mastery means designing normalized schemas that scale, writing queries that fly, and automating backups that never fail.

 

Step 1: Install MySQL

 

For Windows:

  1. Download MySQL Installer:

   – Go to the [MySQL Community Downloads](https://dev.mysql.com/downloads/mysql/) page.

   – Download the MySQL Installer for Windows.

  1. Run the Installer

   – Double-click the downloaded file to start the installation.

   – Choose the setup type (Developer Default is recommended).

  1. Follow Installation Steps

   – Accept the license agreement.

   – The installer will check for required software. Install any necessary components if prompted.

   – Configure MySQL Server settings (root password, port number, etc.).

  1. Complete Installation

   – Once installation is done, you can choose to start MySQL Workbench if you want a graphical interface.

 

For macOS:

  1. Download MySQL DMG Archive

    Visit the [MySQL Community Downloads](https://dev.mysql.com/downloads/mysql/) page.

   Download the DMG archive for macOS.

  1. Install MySQL

   – Open the downloaded DMG file and follow the installation instructions.

   – You may need to enter your password during installation.

  1. Start MySQL Server:

   – You can start MySQL from System Preferences or by using terminal commands.

 

For Linux (Ubuntu):

  1. Update Package Index

   “`bash

   sudo apt update

   “`

 

  1. Install MySQL Server

   “`bash

   sudo apt install mysql-server

   “`

  1. Secure Installation

   After installation, run the security script:

   “`bash

   sudo mysql_secure_installation

   “`

 Follow the prompts to set up security options like root password and removing test databases.

 

Step 2: Create a Database

Accessing MySQL Command Line

  1. Open your command line or terminal.
  2. Log into MySQL with the following command (replace `your_password` with your actual root password):

   “`bash

   mysql -u root -p

   “`

 Creating a Database

  1. Once logged in, create a new database using the following command (replace `your_database_name` with your desired database name):

   “`sql

   CREATE DATABASE your_database_name;

   “`

  1. To verify that your database has been created, you can list all databases with:

   “`sql

   SHOW DATABASES;

   “`

Using Your Database

  1. To start using your new database, run:

   “`sql

   USE your_database_name;

   “`

Step 3: Create a Table (Optional)

You can also create a table within your new database:

 

  1. Use this SQL command to create a table (replace `your_table_name` and columns as needed):

    “`sql

    CREATE TABLE your_table_name (

        id INT AUTO_INCREMENT PRIMARY KEY,

        name VARCHAR(100),

        age INT

    );

    “`

 

  1. To verify that your table has been created, run:

    “`sql

    SHOW TABLES;

    “`

Step 4: Exit MySQL

To exit the MySQL command line, simply type:

“`sql

EXIT;

Conclusion

With this You’ve successfully installed MySQL and created a database! If you have any questions about specific steps or need further assistance, feel free to ask.

Practical use of MySQL:

  • Power WordPress sites with user posts, comments, and plugin data
  • Store e-commerce orders, inventory, and customer profiles
  • Run real-time analytics on user behavior with partitioned tables
  • Serve as backend for mobile apps via REST APIs
  • Handle financial transactions with ACID compliance
  • Support multiplayer games with leaderboards and match history
  • Store IoT sensor data with time-series optimized tables
  • Enable full-text search on blogs and product catalogs
  • Run A/B testing frameworks with result tracking
  • Power chat applications with message threading and delivery status
  • Host CRM systems with contact, deal, and activity logs
  • Drive recommendation engines using JOINs and aggregations
  • Support multi-tenant SaaS apps with row-level security
  • Store and query geospatial data for delivery routing
  • Automate daily backups and point-in-time recovery