INTRO TO DATA ANALYTICS Level 3 Unit (SECBA)

Level 3
Courses For Industry
eCampus

Overview

Data is one of the most valuable assets in modern organisations. Businesses collect vast amounts of information every day and rely on data analytics to identify trends, improve performance, understand customers and make informed decisions.

This course introduces learners to the principles and applications of Big Data and Business Analytics, exploring how organisations collect, manage, analyse and use large datasets to gain competitive advantage. Learners will develop an understanding of big data technologies, business intelligence tools and analytical techniques used across a range of industries.

Through practical activities and case studies, students will investigate how organisations use data to solve problems, improve efficiency and support strategic decision-making. The unit also explores the ethical, legal and security considerations associated with collecting and analysing large volumes of data.

This unit provides an excellent foundation for further study and careers in data analytics, business intelligence, digital technologies and information systems.

Whilst no prior knowledge of big data is essential, applicants would benefit from:

Basic digital literacy skills
An understanding of Information Technology concepts
Good analytical and problem-solving skills
An interest in emerging technologies and business systems

Big Data Fundamentals

Understanding the characteristics of big data
Sources and types of big data
Structured, semi-structured and unstructured data
The role of big data in modern organisations

Data Collection and Management

Methods of collecting data
Data storage solutions and technologies
Managing large datasets
Data quality and governance

Business Analytics

The purpose and benefits of business analytics
Using data to support decision-making
Key performance indicators (KPIs)
Data-driven business strategies

Data Analysis Techniques

Identifying trends and patterns in data
Data mining and analytical processes
Interpreting and presenting analytical findings
Using analytical tools to generate insights

Big Data Technologies

Cloud-based data solutions
Data warehouses and data lakes
Business intelligence platforms
Emerging technologies in data analytics

Ethical, Legal and Security Considerations

Data protection and privacy legislation
Ethical use of data
Data security challenges
Risks associated with big data systems

Real-World Applications

Case studies of organisations using big data
Business intelligence in practice
Data analytics across different sectors

Future developments in big data and analytics

Assessment is through the completion of internally assessed coursework assignments. Learners will investigate how organisations use big data and business analytics, analyse real-world scenarios and produce evidence demonstrating their understanding of key concepts and applications.

Assignments may include research activities, reports, presentations, case studies and practical analytical tasks. Learners will be required to demonstrate their ability to evaluate the use of big data technologies, interpret business information and make recommendations based on data analysis.

There is no formal examination for this unit. Assessment is completed through coursework that is marked internally and quality assured in accordance with Pearson BTEC requirements.

The knowledge and skills developed through this unit also provide an excellent foundation for progression to higher-level qualifications in Data Analytics, Business Intelligence, Data Science, Information Technology, Computing and Digital Technologies.