Description
Overview:
Welcome to “Learn MySQL from Scratch for Data Science and Analytics”! This course serves as your comprehensive guide to mastering MySQL, the popular relational database management system, for data science and analytics. MySQL is a fundamental tool for storing, managing, and analyzing data, making it essential for anyone pursuing a career in data science or analytics. In this course, you’ll dive deep into MySQL, learning how to design databases, write SQL queries, and manipulate data to extract valuable insights.
Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases
Main Course Features:
Thorough coverage of MySQL fundamentals, including database design and normalization
Hands-on projects and exercises to reinforce learning
Writing complex SQL queries to retrieve and manipulate data
Implementation of joins, subqueries, and aggregate functions for data analysis
Guidance on indexing, optimization, and performance tuning in MySQL
Best practices for data modeling and schema design for analytics
Real-world case studies and examples to illustrate MySQL applications in data science
Access to a supportive online community for collaboration and assistance
Who Should Take This Course:
Aspiring data scientists and analysts seeking to master MySQL for data manipulation and analysis
Database administrators looking to enhance their SQL skills for data science applications
Students and professionals aiming to build a strong foundation in relational databases for analytics
Learning Outcomes:
Master MySQL fundamentals, including database design, SQL queries, and data manipulation
Perform complex data analysis tasks using SQL, including joins, subqueries, and aggregations
Design efficient database schemas and optimize query performance in MySQL
Apply MySQL skills to real-world data science and analytics projects
Extract valuable insights from large datasets using MySQL for data manipulation
Debug and troubleshoot SQL queries effectively in MySQL
Build a portfolio of MySQL projects showcasing data science and analytics skills
Stay updated with the latest trends and techniques in MySQL for data science and analytics.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Curriculum
Section 01: Getting Started
Section 02: SQL Server setting up
Section 03: SQL Database basics
Section 04: SQL DML (Data Manipulation Language)
Section 05: SQL DDL (Data Definition Language)
Section 06: SQL DCL (Data Control Language)
Section 07: SQL Statement Basic
Section 08: Filtering Data rows
Section 09: Aggregate functions for Data Analysis
Section 10: SQL Data Analyticstatements
Section 11: SQL Group by statement
Section 12: JOINS
Section 13: SQL Constraints
Section 14: Views
Section 15: Advanced SQL Functions
Section 16: SQL Stored procedures
Section 17: Import & Export data
Section 18: Backup and Restore Database
