CPD-accredited courses from £39 · Instant e-certificates · 2,700+ courses
CPD-accredited certificates 020 4618 6402 Team training
Home / Courses / IT and Software / Learn MySQL from Scratch for Data Science and An...
CPD course All Levels

Learn MySQL from Scratch for Data Science and Analytics

4 enrolled 5h 47m of learning Updated Nov 2026
CertificateOn completion
5h 47mSelf-paced
80 lessonsOn the UISC learning portal
All LevelsNo prior training needed

Course curriculum

1 modules 80 lessons 5h 47m total
01 Learn MySQL from Scratch for Data Science and Analytics 80 lessons
  1. Introduction
  2. How to get course requirements
  3. Getting started on Windows, Linux or Mac
  4. How to ask great questions
  5. FAQ’s
  6. What is Source Code?
  7. Section Introduction
  8. MySQL Server Installation
  9. Connect MySQL Server Instance
  10. MySQL Workbench overview
  11. Download and Restore Sample Database
  12. Overview of Databases
  13. Creating Database
  14. SQL Data Types
  15. Column Data Types on Workbench
  16. Creating Table
  17. Overview of Primary and Foreign Key
  18. Primary Key
  19. Foreign Key
  20. Creating Temporary tables
  21. EER – Enhanced Entity Relationship Diagrams
  22. Insert statement
  23. Update statement
  24. Delete statement
  25. CREATE table statement
  26. DROP statement
  27. ALTER statement
  28. TRUNCATE statement
  29. COMMENT in query
  30. RENAME table
  31. Create Database user
  32. GRANT permissions
  33. REVOKE permissions
  34. SQL Statement basic
  35. SELECT Statement
  36. SELECT DISTINCT
  37. SELECT with column headings
  38. Column AS statement
  39. DASHBOARD Analytics
  40. SELECT WHERE Clause – theory
  41. SELECT WHERE Clause – practical
  42. Sum()
  43. Min()-Max()
  44. Order By statement
  45. SELECT TOP 3 records
  46. BETWEEN command
  47. IN operator
  48. Search Data usingLIKE cards
  49. Group by – theory
  50. Data Analytics with Group By
  51. HAVING statement
  52. Overview of Joins
  53. What are Joins
  54. Inner join
  55. Left outer join
  56. Right outer join
  57. Union
  58. CERTESIAN Product or Cross Join
  59. Query Exercise
  60. Solution for Query Exercise
  61. Section introduction
  62. Check constraint
  63. NOT NULL constraint
  64. UNIQUE constraint
  65. Creating Views
  66. Data Analytic Views from multiple tables
  67. Timestamp
  68. Extract from timestamp
  69. Mathematical scalar functions
  70. String functions
  71. Advanced functions
  72. Sub Queries
  73. SELECT with calculations
  74. Create stored procedure
  75. Stored procedure with parameter
  76. Drop Procedure
  77. Import .csv file
  78. Export Data to .csv file
  79. Creating Database backup
  80. Restoring Database backup

About this course

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
  • 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. 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.

Your certificate

CPD certificate — download it when you finish

Issued the moment you complete the final module. Every certificate lists the course aims and objectives, anticipated learning outcomes, the quality-assurance process — the elements required for verifiable CPD. Non-registrants can use it as CQC training evidence and for appraisals.

Aims & objectives Learning outcomes Unique certificate number

Common questions

Where do I take the course?

On the UISC learning portal. "Enrol now" takes you to this course there, where you pay securely, get your login and study at your own pace. Your certificate is issued there when you finish.

When can I start?

Immediately. Access opens the moment your order is confirmed and you can learn from any device, in any order, as many times as you like.

How is the course assessed?

A short multiple-choice or scenario-based assessment at the end of the course with instant results. You can retake it as many times as you need at no extra cost.

Can I enrol my whole team?

Yes. Organisations can buy multiple places on one invoice and receive a training record for every learner. Contact us for team pricing.

Keep learning

Related courses

More in IT and Software
Stock Trading
Save 86%
10 lessons
IT and Software 4h 2m

Stock Trading

16 others bought this course in the last 24 hours! Stock Trading teaches you everything on the topic thoroughly from scratch so you can achieve a professional c...

4.9 (8) 6 enrolled
£39.00 £279.00
Enrol now
£39.00 5h 47m · All Levels
Enrol now