Learn MySQL from Scratch for Data Science and Analytics
Learn MySQL from Scratch for Data Science and Analytics
- Interactive video lectures by industry experts
- Developed by qualified first aid professionals
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- 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
- Hands-on projects and exercises to reinforce learning
- 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
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.
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
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 . 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.
Course Curriculum
Learn MySQL Server from Scratch for Data Science and Analytics
Introduction 
00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ’s 00:01:00 What is Source Code? 00:09:00
Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview
00:11:00 Download and Restore Sample Database
00:08:00 00:10:00
Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER – Enhanced Entity Relationship Diagrams 00:04:00
Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00
Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00
Create Database user 00:03:00 GRANT permissions 00:05:00 REVOKE permissions 00:04:00
Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00
SELECT WHERE Clause – theory 00:03:00 SELECT WHERE Clause – practical 00:06:00
Sum() 00:08:00 Min()-Max() 00:06:00
Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00
Section Introduction 00:01:00 Group by – theory 00:03:00 Group by – practical 00:05:00 HAVING statement 00:04:00
Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:08:00 Left outer join 00:03:00 Right outer join 00:02:00 Full outer join 00:01:00 Union 00:03:00 Cartesian Product with the Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00
Section introduction 00:01:00 Check constraint 00:07:00 NOT NULL constraint 00:08:00 UNIQUE constraint 00:05:00
Creating Views 00:04:00 Reporting with multiple tables 00:03:00
Section Introduction 00:01:00 Timestamp 00:04:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:04:00 String functions 00:05:00 Sub Query v 00:03:00 SELECT with calculations 00:06:00
Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00
Section Introduction 00:01:00 Import .csv or excel file 00:03:00 Export Data to Excel or any format 00:06:00
Section Introduction 00:01:00 Creating Database backup 00:04:00 Restoring Database backup 00:04:00
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