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Introduction to SQL for Data Science
Career Education

Massive Savings !! PDF Certificate Included | Level 4 Training | Comprehensive Study Materials | 24/7 Support

Summary

Price
£12 inc VAT
Study method
Online, On Demand
Duration
1 hour · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free

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Overview

Elevate Your Career with the Introduction to SQL for Data Science Course

Unlock the power of data with Introduction to SQL for Data Science. This foundational course is designed to help you build strong skills in SQL, MySQL, and essential data analysis techniques. Whether you're transitioning into data science or enhancing your coding proficiency, this course covers the core concepts of structured query language and how it supports data-driven decisions in business and technology.

By mastering SQL, you'll be able to query, analyze, and interpret large datasets effectively. You’ll learn how MySQL functions as a powerful relational database management system, making it a preferred choice for many data science and business intelligence applications.

What Will You Learn?

  • How to write efficient SQL queries

  • The structure and use of MySQL databases

  • Data filtering, sorting, and aggregation techniques

  • Logical operators and conditional expressions in SQL

  • Using joins to combine data from multiple tables

  • Query optimization strategies for large datasets

Key Benefits You Gain from the Introduction to SQL for Data Science Training

  1. A FREE PDF Certificate immediately after completion from reed
  2. Access to the course resources for life
  3. Complete tutor support is provided
  4. Simple to understand and are taught by professionals
  5. 24/7 Email and live chat assistance and guidance
  6. Freedom to use any device, i.e. computer, tablet, or mobile phone, to access the course on your own schedule

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

1
section
11
lectures
0h 58m
total

    • 1: Module 1 Introduction to SQL 04:00
    • 2: Module 2 Data Retrieval 05:00
    • 3: Module 3 Joins and Subqueries 05:00
    • 4: Module 4 Data Manipulation 05:00
    • 5: Module 5 Table Design and Normalization 06:00
    • 6: Module 6 Advanced Queries 05:00
    • 7: Module 7 SQL Functions 05:00
    • 8: Module 8 Performance Tuning 07:00
    • 9: Module 9 Security and Permissions 07:00
    • 10: Module 10 SQL in Practice 07:00
    • 11: Final Exam 02:00

Course media

Description

The Introduction to SQL for Data Science course is tailored to equip learners with practical SQL skills necessary for extracting insights from structured data. You'll start with the basics of SQL syntax, learning how to create, retrieve, update, and delete data using structured commands. Through understanding MySQL architecture, you'll gain clarity on relational models, primary keys, foreign keys, and query optimization techniques.

The course also explores how SQL is used within data science environments to perform filtering, aggregations, joins, and nested queries. Learn how MySQL databases are deployed in real-world data science projects and how SQL serves as a backbone in generating meaningful business conclusions. The curriculum is geared toward helping you become fluent in SQL and MySQL as you begin your data science journey, setting a strong foundation for working with data analytics platforms, BI tools, and data visualization frameworks. No prior coding knowledge is required—just curiosity and commitment.

Key Takeaways

  • Build fluency in SQL and MySQL

  • Learn to write complex SQL queries for data analysis

  • Understand relational database models in MySQL

  • Interpret, filter, and manipulate large datasets

  • Strengthen your data science coding logic

  • Apply SQL across multiple real-world data analytics scenarios

Certification
Upon successful completion of this course, you will earn a certificate of achievement, verifying your ability to use SQL and MySQL in data science workflows.

Who is this course for?

    • Beginners exploring careers in data science

    • Professionals aiming to learn SQL for business analytics

    • Individuals switching to a data analytics career

    • Students needing strong coding skills in SQL

    • Business analysts looking to optimize MySQL queries

    • Anyone interested in data science fundamentals

    • Learners working with spreadsheets wanting to level up

    • Tech enthusiasts exploring database management

Requirements

There are no official prerequisites for enrolling in the Introduction to SQL for Data Science course. It is open to all students, regardless of their background or experience level.

Career path

Completing this course prepares you for roles such as Data Analyst, SQL Developer, BI Analyst, Junior Data Scientist, or Database Administrator, where SQL and MySQL are foundational tools.

Questions and answers

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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Similar subjects: MySQL, SQL, Coding
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