DATA ANALYTICS Level 4 Certificate (SECBA)

Level 4
Courses For Industry
eCampus

Overview

The OCN NI Level 4 Certificate in Data Analytics is designed for individuals who want to develop advanced skills in analysing, interpreting and using data to support decision-making in business and industry. The qualification provides learners with the knowledge and practical skills required to work with datasets, identify trends and patterns, and apply analytical techniques to solve real-world problems.

Throughout the programme, learners will explore the principles of data analytics, including data collection, storage, preparation and analysis. They will gain practical experience in assessing data quality, cleansing datasets, conducting hypothesis testing and applying predictive analytics techniques using regression analysis. Learners will also develop skills in configuring machine learning workspaces, analysing data, evaluating predictive models and deploying data-driven solutions.

The qualification is aimed at individuals currently working in, or aspiring to work in, information technology, data analytics, business intelligence or related digital professions. It provides an excellent foundation for progression to higher-level study in data analytics, data science, artificial intelligence and other computing disciplines, while also supporting career development in roles that require data-driven decision-making.

Applicants should normally possess a Level 3 qualification in Information Technology, Computing, Software Development, Data Analytics or a related discipline. Applicants with relevant industry experience may also be considered.

The programme covers:

Data Analytics Fundamentals

Understanding data analytics and its applications
Different types of data and data storage solutions
Batch data versus streaming data
The role of data analytics in business decision-making

Predictive Analytics

Understanding predictive analytics techniques
Descriptive, diagnostic and prescriptive analytics
Real-world applications of predictive analytics
Case studies of organisations using data analytics successfully

Hypothesis Testing

Developing null and alternative hypotheses
Setting significance levels
Calculating test statistics and p-values
Drawing evidence-based conclusions
Applying hypothesis testing within machine learning environments

Regression Analysis

Introduction to predictive modelling
Analysing datasets using regression techniques
Creating and managing machine learning workspaces
Building and evaluating regression models
Deploying predictive services

Data Preparation and Cleansing

Assessing data quality
Identifying and correcting data issues
Cleaning missing or incomplete data
Removing duplicate records
Editing metadata and selecting relevant data fields
Data normalisation techniques

Machine Learning Applications

Creating computing resources for analytics projects
Configuring machine learning workspaces
Building and running training pipelines
Evaluating model performance
Applying data analytics tools to real-world scenarios

Industry and Professional Practice

Researching data analytics applications in multinational organisations
Understanding the role of data analytics across different sectors
Developing analytical and problem-solving skills for the workplace
Applying data-driven approaches to business challenges

These topics are based on the learning outcomes and assessment criteria for the Data Analytics Applications unit within the OCN NI Level 4 Certificate in Data Analytics.

Assessment is carried out through a combination of practical assignments, coursework and the development of a portfolio of evidence. Learners will complete a range of activities that demonstrate their ability to analyse data, apply predictive analytics techniques, conduct hypothesis testing and prepare datasets for analysis.

Assessment is continuous throughout the programme, allowing learners to build evidence of their skills and knowledge as they progress. There is no traditional final examination. Instead, learners will complete practical tasks and projects based on real-world data analytics scenarios, demonstrating their ability to apply industry-standard techniques and tools.

Successful learners who meet all assessment criteria will achieve the OCN NI Level 4 Certificate in Data Analytics.

Data analytics skills are in high demand across a wide range of industries including business, finance, healthcare, technology, manufacturing and the public sector.

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

Data Analyst
Junior Data Scientist
Business Intelligence Analyst
Reporting Analyst
Data Technician
Information Analyst
Business Analyst
Digital Transformation Officer
Operations Analyst
Research and Insights Analyst

The qualification also provides an excellent foundation for progression to higher-level study in Data Analytics, Data Science, Artificial Intelligence, Business Intelligence and other Computing and Digital Technology programmes.