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SQL for Data Science Job Preparation Complete Course cover image

SQL for Data Science Job Preparation Complete Course
Cambridge Open Academy

New Deal | 20-in-1 Course | Updated 2026 | FREE PDF & Hardcopy Certificate | Lifetime Access | 1K+ Enrolment

Summary

Price
£399 inc VAT
Or £66.50/mo. for 6 months...
Study method
Online
Duration
60 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
200 CPD hours / points
CPD What's this?
Certificates
  • Certificate of Completion (Hard Copy) - Free
  • Certificate of Completion (PDF) - Free
Assessment details
  • Mock Exam & Final Exam (included in price)
Additional info
  • Tutor is available to students

Overview

Gain in-demand skills in database management, data analytics, and programming with the SQL for Data Science Job Preparation Course. This comprehensive programme covers SQL, MySQL, Microsoft SQL Server, PHP & MySQL web development, and Python for data science and machine learning. Learners will explore database setup, querying, joins, constraints, stored procedures, and data visualisation techniques. The course also introduces data cleaning, exploratory analysis, time-series handling, and basic machine learning concepts. Ideal for aspiring data analysts, database administrators, and business intelligence professionals, this training equips participants with practical skills to manage, analyse, and visualise data effectively across multiple platforms and programming environments.

Learning Outcomes

By the end of this course, learners will be able to:

  1. Design, manage, and query relational databases using SQL and MySQL.
  2. Apply advanced SQL techniques, including joins, groupings, constraints, and stored procedures.
  3. Use SQL Server and Azure Data Studio for database analysis and reporting.
  4. Integrate PHP and MySQL to build database-driven web applications.
  5. Analyse, clean, and visualise data using Python libraries such as Pandas and NumPy.
  6. Implement basic machine learning models and apply data science techniques to solve real-world problems.

This Bundle Consists of the Following Courses:

Core Data Science Skills:

  • » Course 01: SQL for Data Science, Data Analytics and Data Visualization
  • » Course 02: MySQL for Beginners: A Complete Training for Beginners
  • » Course 03: The Complete Microsoft SQL Server Course: From A to Z
  • » Course 04: Ultimate PHP & MySQL Web Development & OOP Coding

Specialised Skills:

  • » Course 05: Python for Data Science & Machine Learning: Zero to Hero
  • » Course 06: Data Science & Machine Learning with R
  • » Course 07: Data Analytics with Tableau
  • » Course 08: Statistics Essentials
  • » Course 09: Microsoft Office Skills: Mastering Excel, PowerPoint
  • » Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query

Technical Skills:

  • » Course 11: Data Analysis
  • » Course 12: Digital Marketing
  • » Course 13: IT Support Management

Soft Skills:

  • » Course 14: Negotiation
  • » Course 15: Public Speaking
  • » Course 16: Critical Thinking and Decision Making
  • » Course 17: Effective Communication Skills
  • » Course 18: Emotional Intelligence
  • » Course 19: Conflict Resolution
  • » Course 20: Stress Management

Certificates

Assessment details

Mock Exam & Final Exam

Included in course price

CPD

200 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

Data science is one of the most sought-after fields worldwide, with SQL forming the backbone of every data science process. This course focuses on how SQL drives data science, helping you analyse, visualise, and manage data efficiently. By combining SQL with MySQL, Microsoft SQL Server, Python, and R, you will gain an advanced foundation in data science for healthcare and business environments.

The programme also integrates statistics, Tableau, and Excel dashboards to enhance data science visualisation. Beyond technical content, this course addresses healthcare-related data science applications, including radiography, infection control, and clinical coding. With this, you will be able to connect healthcare data with data science techniques for better accuracy and efficiency.

To succeed in data science, professionals must also strengthen soft skills. This course builds your ability in negotiation, public speaking, critical thinking, and stress management, all crucial for data science roles. Begin your journey today and secure your place in the growing world of data science. Enrol now and prepare for a strong career in data science and healthcare.

Course Curriculum:

» Course 01: SQL for Data Science, Data Analytics and Data Visualization

  • Section 01: Getting Started
  • Section 02: SQL Server setting up
  • Section 03: SQL Azure Data Studio
  • Section 04: SQL Database basic SSMS
  • Section 05: SQL Statements for DATA
  • Section 06: SQL Data Structure statements
  • Section 07: SQL User Management
  • Section 08: SQL Statement Basic
  • Section 09: Filtering Data rows
  • Section 10: Aggregate functions
  • Section 11: SQL Query statements
  • Section 12: SQL Group by statement
  • Section 13: JOINS for Multiple table Data Analysis
  • Section 14: SQL Constraints
  • Section 15: Views
  • Section 16: Advanced SQL commands
  • Section 17: SQL Stored procedures
  • Section 18: Azure Data Studio Visualization
  • Section 19: Azure Studio SQL for Data Analysis
  • Section 20: Import & Export data
  • Section 21: Backup and Restore Database

» Course 02: MySQL for Beginners: A Complete Training for Beginners

  • Introduction
  • Basics of MySQL Query – Part 1
  • Basics of MySQL Query (Operators) – Part 2
  • Basics of MySQL Query – Part 3
  • Join in MySQL

» Course 03: The Complete Microsoft SQL Server Course: From A to Z

  • Introduction
  • What is a DBMS? (Database Management System)
  • Tables, Relationships, and Installation
  • Data Types in SQL server
  • Basics of SQL server
  • Conclusion

» Course 04: Ultimate PHP & MySQL Web Development & OOP Coding

  • Section 01: Introduction & Setup
  • Section 02: Basics
  • Section 03: Control Structures
  • Section 04: Functions
  • Section 05: Forms
  • Section 06: File Handling
  • Section 07: MySQL
  • Section 08: XML
  • Section 09: AJAX
  • Section 10: Emails
  • Section 11: Object Oriented Programming
  • Section 12: Error Handling
  • Section 13: Advanced
  • Section 14 : Resource

» Course 05: Python for Data Science & Machine Learning: Zero to Hero

  • Introduction
  • The Must-Have Python Data Science Libraries
  • NumPy Mastery: Everything you need to know about NumPy
  • DataFrames and Series in Python's Pandas
  • Data Cleaning Techniques for Better Data
  • Exploratory Data Analysis in Python
  • Python for Time-Series Analysis: A Primer
  • Python for Data Visualisation: Library Resources, and Sample Graphs
  • The Basics of Machine Learning
  • Simple Linear Regression with Python
  • Multiple Linear Regression with Python
  • Classification Algorithms: K-Nearest Neighbours
  • Classification Algorithms: Decision Tree
  • Classification Algorithms: Logistic regression
  • Clustering
  • Recommender System
  • Conclusion

and more with other courses.

Our Specialised Delivery Method:

  • Learn by Doing: Interactive activities keep you engaged.
  • Go Mobile: Works on any device, no downloads needed.
  • Easy to Use: Simple design for all learners.
  • Track Progress: Stay motivated with clear progress tracking.
  • Visually Appealing: Enjoyable learning experience.

Join us today to unlock the potential of your Data Science skills and elevate your career to new heights.

Who is this course for?

  • Individuals preparing for careers in data science and healthcare data management.
  • Beginners looking to strengthen their SQL and data science foundations.
  • Professionals aiming to integrate healthcare with data science for better patient outcomes.
  • Learners seeking to combine technical and soft skills for future data science roles.

Requirements

  • No prior knowledge needed
  • Compatible with any internet-enabled device, including computers, tablets, and smartphones.
  • Consistent learning experience
  • Accessible anywhere, anytime
  • No limitations on access
  • Use Wi-Fi or mobile data

Career path

  • Data Analyst: £25,000 – £40,000

  • Business Intelligence Analyst: £28,000 – £45,000

  • Data Scientist: £35,000 – £55,000

  • Database Administrator: £30,000 – £50,000

  • SQL Developer: £28,000 – £48,000

  • Data Engineer: £35,000 – £60,000

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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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