DragonZap
Sign in

Learn MySQL from scratch for Data Science and Analytics

Metla Sudha Sekhar
5h 50m 88 Lessons
Get it now Lifetime Access Certificate Included

About this course

Learn MySQL from scratch for Data Science and Analytics": ```html Unlock the power of data with our comprehensive course, Learn MySQL from scratch for Data Science and Analytics. This course is meticulously crafted for individuals eager to gain a robust understanding of MySQL and its applications in the realm of data science and analytics. Whether you are a complete beginner, a professional, or a student, this course will equip you with the essential skills to manage, analyze, and derive valuable insights from data. Throughout the course, you will delve into various critical topics including: - Installation and configuration of MySQL Server - Understanding database fundamentals and SQL syntax - Executing essential SQL commands for data manipulation - Employing advanced techniques such as joins, constraints, and views - Importing and exporting data efficiently - Backing up and restoring databases to safeguard your data By the end of this course, you'll be proficient in using MySQL, enabling you to tackle real-world data challenges in your projects and career.

Skill Level Intermediate
Estimated Learning Time 5h 50m
Lessons 88
Your Progress Start anytime

What you'll learn

  • Introduction to MySQL and SQL: Understanding the basics and getting started with MySQL.SQL Server Setup: How to install and connect to MySQL server, and navigate MySQL Workbench.Database Fundamentals: Overview of databases, creating databases, and understanding data types.Data Manipulation Language (DML): Learning how to insert, update, and delete data using SQL commands.Data Definition Language (DDL): Creating, altering, and dropping database objects.Data Control Language (DCL): Managing permissions and creating database users.Basic SQL Statements: Important SQL statements for querying data.Data Filtering: Using the WHERE clause to filter data rows.Aggregate Functions: Analyzing data using functions like SUM, MIN, and MAX.SQL Analytic Statements: Techniques like ORDER BY, BETWEEN, and using LIKE for searching data.Group By Statements: Learning how to group and aggregate data with HAVING clause.Joins: Understanding different types of joins and how to combine data from multiple tables.Constraints: Implementing constraints to maintain data integrity.Views: Creating views for simplifying complex queries.Advanced SQL Functions: Utilizing advanced functions for data analysis.Stored Procedures: Creating and managing stored procedures for executing complex logic.Data Import and Export: Importing and exporting data using CSV files.Backup and Restore Techniques: Managing database backups and restoring them when necessary.

Who this course is for

  • Beginners who want to learn MySQL and SQL from scratch.Data science and analytics enthusiasts looking to enhance their SQL skills.Professionals aiming to use MySQL in their data analysis projects.Students pursuing studies in data science, analytics, or database management.Anyone interested in managing and analyzing data effectively.

Requirements

  • No prior technical experience is required! All you need a computer!
  • No SQL experience needed. You will learn everything you need to know
  • No software is required in advance of the course (all software used in the course is free)