The Data Analytics Essentials course programme provides a structured learning journey that takes you from the fundamentals of data through to the practical skills needed to begin a career in data analytics. You will start by learning the core principles of data before developing your ability to analyse and interpret data using industry-standard tools, including spreadsheets, SQL, Tableau and Python. You will learn how data is collected, stored, analysed and presented to support informed decision-making in businesses and organisations.

Learning is delivered through a combination of interactive lessons, practical exercises, real-world case studies and guided laboratory activities. Each module is carefully structured to build your understanding step by step, helping you develop both the technical knowledge and practical skills needed to work effectively with data.

By the end of the programme, you will have developed the knowledge, practical experience and confidence to begin your career in data analytics. You will be able to apply data-driven approaches to solve business problems. The programme also provides a strong foundation for further study and progression into entry-level roles in data analytics and related fields.

Course Contents

• Understanding the role of data in improving customer and business experiences.
• Learning how data is gathered, organised and stored securely.
• Exploring the basic concepts of AI, machine learning and their real-world applications.
• Developing essential spreadsheet skills for working with data.
• Learning how to create data visualisations using Tableau.
• Presenting data effectively through stories and sharing insights with others.
• Understanding how databases work and learning the basics of SQL.
• Learning the fundamentals of Python programming for data analysis.
• Exploring career opportunities, employability skills and professional development within the data analytics sector.
• Bringing together the knowledge and skills gained throughout the programme by reviewing and reflecting on practical project work

Target Audience

The Data Analytics Essentials course is intended for learners who want to develop practical data analysis and data science skills for employment, further study, or professional development.

This qualification is suitable for:

• School leavers preparing for careers in data, digital technologies, or business.
• Learners wishing to develop practical data science skills alongside other qualifications.
• Employees seeking to up-skill or re-skill in data analysis, reporting, or business intelligence.
• Career changers interested in moving into data-related roles.
• Individuals working in sectors such as business, finance, healthcare, engineering, manufacturing, retail, or the public sector who use data to support decision-making.
• Anyone with an interest in analysing, interpreting, and communicating data using modern digital tools.

On successful completion of the Data Analytics Essentials course, learners may progress to higher-level qualifications, including:

• PDA Data Science at SCQF Level 8, where available, to further develop technical knowledge and practical skills in data analytics and data science, particularly based on Python, AI & ML, SQL, R Programming
• Higher National (HN) qualifications, such as HNC/HND programmes in Computing, Data Science, Business Intelligence or related subject areas.
• Next generation (HN) Data Science programs
• Undergraduate degree programmes in areas such as Data Science, Computing Science, Artificial Intelligence, Business Analytics, Information Technology or related disciplines. Depending on the institution, completed credits may support entry or recognition of prior learning (RPL).

Progression opportunities will depend on individual university entry requirements, available credit recognition arrangements and the learner’s previous qualifications and experience. Learners are encouraged to check specific progression routes with universities and training providers.

Career Progression Opportunities:

Successful completion of the course can support progression into roles such as:

• Junior Data Analyst
• Data Science Assistant
• Business Intelligence Analyst
• Reporting Analyst
• Data Technician
• Junior Data Engineer
• Analytics Assistant

Entry Requirements

The Data Analytics Essentials course is suitable for anyone with an interest in data and technology. No previous experience in data science is required.

You should have:

• Basic computer and digital skills.
• Good numeracy skills.
• An interest in problem-solving and working with data.
• A willingness to learn new tools and techniques.

This course is ideal for school or college leavers, professionals looking to develop data skills, and anyone wishing to start or change to a career in data analytics.

Learning Modes:

• Blended Learning – Students attend in-person classes combined with online learning activities. This approach provides face-to-face support from instructors while allowing students flexibility to complete some coursework remotely.
• Distance Learning – Students complete their studies remotely without attending regular in-person classes. Learning materials, lessons, and assessments are delivered online, with support provided through digital platforms and communication with instructors.
• Self-Paced Learning – Students work through course materials independently and progress at their own speed. This option offers maximum flexibility, allowing students to choose when and how quickly they complete their learning, while meeting the required course outcomes and deadlines.

Application Process

If there are any concerns regarding your eligibility, you may be required to attend an interview with a member of the course team. This may be in person, over the phone, or through Microsoft Teams.

SAAS Funding:

Course funding is available for this course through SAAS, including the QS exam fee.

Self-Funding:

If any student does not qualify for SAAS funding, they can self-finance this course.