Week One

Week One

OCN NI Level 4 Certificate in

Data Analytics: 610/0602/6

Data Analytics Applications

A/650/1672

👨‍🏫 Meet Your Tutor: Michael Allison

Role: Computing Lecturer at South West College

Academic Background:

🎓 BSc (Hons) in Computer Science

Teaching Areas:

💻 Level 2, 3, 4 & 5 courses in Computing & IT

Interests:

🤖 AI in Education – exploring how artificial intelligence can enhance teaching and learning

📊 Data Analytics – passionate about using data to inform decisions and improve outcomes

www.ocnni.org.uk

📊 OCN NI Level 4 Certificate in Data Analytics – Course Summary

🎯 Course Aim:

To help you understand and apply key principles of data analytics—preparing you for roles in IT or to progress to higher qualifications.

📦 Course Content Includes:

Understanding types of data and predictive analytics
Performing hypothesis testing
Using regression analysis for predictive modelling
Assessing and cleansing data using machine learning workspaces

📊 OCN NI Level 4 Certificate in Data Analytics – Course Summary

⏱️ Duration & Credits:

130 Total Qualification Hours (TQT)

64 Guided Learning Hours (GLH)

Worth 13 credits at Level 4

🧠 Assessment Methods:

Portfolio of evidence

Practical assignments/demonstrations

Coursework and e-assessments

go through SOW 

when assessments will be handed out/handed in

college policies on late submissions/extensions etc..

Any Questions so far?

L01: Identify Different Data Types 

Quantitative	Qualitative
Numerical, Measurable, Countable	Descriptive, Textual Based

Structured Data	Semi Structured Data	Unstructured Data
Highly Organised	Falls between the two- some formality	No real format, raw data

Consider these key questions:

1.Which type of data is there currently

more of?

2.What challenges are posed by

unstructured data?

3.How can you add structure to this

type of data?

4.Examples of structure being added to

unstructured data?

A closer look at structured data types

Structured Data- For use in a machine learning workspace such as Power BI 

Categorical Data (Groupings)	Numerical Data
Nominal- Groups are labels/names	Discrete- Countable
Ordinal- Groups have an order naturally arising	Continuous- Not fixed, infinite
Binary- Two outcomes Y/N

LO1: Identify different sources of data and data collection 

Make some notes on sources of data and include examples in your notes for ease of recall.

15 Minutes 

Breakout Rooms! 

What is meant by DAS, NAS and SAN data storage and what kind of devices exist for data storage?

How do the forms of data storage differ: file, block and object differ?

What is on offer in 2024 in relation to data storage and data storage devices? 

Find examples

What is a data solution? Explain the terms data ingestion, data transformation, data visualisation.

Describe the difference between data lakes and data warehouses.

What is on offer in 2025 in relation to data solutions? Find examples

Lesson Summary

For Next Class: 

Required-

Check Power BI Desktop is installed

Teams Desktop version is installed

Complete notes on all key topics covered in class today. Retain your references.

P/M/I Task:

Pause: what made you think today?

More of: which types of activities would you like more of?

Interesting: anything interesting?

How to get in touch: 

Email: [e-mail] 

Teams: [e-mail]