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Learn MySQL from Scratch for Data Science and Analytics

Learn MySQL from Scratch for Data Science and Analytics

  • 6 hours
  • Self-paced online
  • Certificate on completion

Part of Personal Development courses

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

  1. Section 01: Getting Started
  2. Section 02: SQL Server setting up
  3. Section 03: SQL Database basics
  4. Section 04: SQL DML (Data Manipulation Language)
  5. Section 05: SQL DDL (Data Definition Language)
  6. Section 06: SQL DCL (Data Control Language)
  7. Section 07: SQL Statement Basic
  8. Section 08: Filtering Data rows
  9. Section 09: Aggregate functions for Data Analysis
  10. Section 10: SQL Data Analyticstatements
  11. Section 11: SQL Group by statement
  12. Section 12: JOINS
  13. Section 13: SQL Constraints
  14. Section 14: Views
  15. Section 15: Advanced SQL Functions
  16. Section 16: SQL Stored procedures
  17. Section 17: Import & Export data
  18. Section 18: Backup and Restore Database