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SQL for Data Science, Data Analytics and Data Visualization

SQL for Data Science, Data Analytics and Data Visualization

Development

4 students

(1 Rating)

About This Course

The SQL for Data Science, Data Analytics and Data Visualization course is designed to provide learners with essential database querying, data analysis, and data visualisation skills using Structured Query Language (SQL). The course introduces the core principles of relational databases, data extraction, data manipulation, and analytical reporting used in modern data science and business intelligence environments. Learners will gain practical experience working with databases to organise, analyse, and interpret large datasets efficiently.

This course explores SQL commands, filtering techniques, joins, aggregations, data cleaning, and reporting methods used in data analytics and visualisation workflows. Learners will understand how to retrieve meaningful insights from raw data and prepare datasets for business reporting and visual dashboard creation. Emphasis is placed on analytical thinking, database management, and practical implementation techniques relevant to real-world data science and analytics projects.

By the end of the course, learners will be able to write SQL queries confidently, manage relational databases, analyse business data, and support data visualisation processes for informed decision-making and professional data analytics applications.

This course provides practical and industry-focused training in SQL, data analytics, and database management for modern business and technology environments. It combines theoretical understanding with hands-on query development to help learners work confidently with real datasets and analytical tasks. The flexible online format makes it suitable for aspiring data analysts, business intelligence professionals, programmers, and learners seeking foundational skills in data science and analytics.

This course is suitable for aspiring data analysts, data scientists, business intelligence professionals, programmers, students, and individuals interested in database management and analytics. It is ideal for learners who want to build strong SQL skills for data science, business reporting, and analytical projects. Beginners seeking practical database knowledge and professionals aiming to improve data handling and reporting capabilities will benefit greatly from this course

There are no formal entry requirements for this course. It is open to learners aged 16 and above. Basic computer literacy, logical thinking, and familiarity with spreadsheets or data concepts are recommended. An interest in databases, data analytics, and business intelligence will help learners gain maximum benefit from the course content and practical exercises.