SQL for Data Science, Data Analytics and Data Visualization

Get ready to dive into SQL tricks that make your data pop and your visuals shine like a pro.

SQL for Data Science, Data Analytics and Data Visualization introduces the power of SQL for managing and analysing modern data. Organisations rely on SQL to organise large datasets, retrieve valuable insights, and support confident decision-making. This course explains how SQL structures information in databases, how SQL queries extract meaningful patterns, and how SQL supports efficient data handling. Learners will understand why SQL remains one of the most demanded skills in data science and analytics across industries such as finance, healthcare, marketing, and technology.

Through clear guidance, the course explores how SQL is used for data science workflows, data analytics reporting, and data visualisation preparation. Participants will explore how SQL queries organise data, how SQL filters and aggregates information, and how SQL supports dashboards and analytical reporting. Understanding SQL enables professionals to transform raw information into structured insights that guide business strategies. As companies continue to rely on data-driven decisions, strong SQL knowledge strengthens career opportunities within data science, analytics, and visualisation roles.

Learning Outcomes

Understand SQL database structures and their role in data science analysis.
Use SQL queries to retrieve, filter, and organise complex datasets.
Apply SQL techniques to support accurate data analytics reporting.
Prepare structured datasets with SQL for clear data visualisation insights.
Recognise how SQL improves decision-making within data-driven organisations.

Who is this course for?

• Individuals interested in learning SQL for modern data analytics careers.
• Beginners seeking strong SQL foundations for data science and reporting.
• Professionals working with databases who want deeper SQL knowledge.
• Analysts aiming to strengthen SQL abilities for structured data interpretation.
• Anyone curious about SQL and its role in data visualisation.

Career Path

• Data Analyst — £30,000 to £55,000 per year
• Business Intelligence Analyst — £35,000 to £60,000 per year
• Data Scientist — £45,000 to £80,000 per year
• Database Analyst — £35,000 to £65,000 per year
• Data Visualisation Specialist — £40,000 to £70,000 per year
• SQL Developer — £40,000 to £75,000 per year

Certification

Upon successful completion of the course and its assessment, you can obtain the certificate for a small additional fee. You can check the certificate fees and related details from the following link: https://www.oneeducation.org.uk/certificate/. You may also request a hard copy certificate, which will be posted to your preferred address for a small additional fee.

Disclaimer:
This course includes online learning materials with pre-recorded lessons. Learners will also have access to a Live Onboarding session. The meeting link for the live session will be provided after enrolment. Access to the course materials will be available within 48 hours of purchase