Entry Year
Location
Duration
Course Code
Qualifications
Data Analytics Level 4
Day of week: Tuesday
Times: 16:30 - 19:30
Overview
OCN NI Level 4 Certificate in Data Analytics
Online every Tuesday from 4:30-7:30pm
Starting: Tuesday 10th Nov – Tues 16th March
16weeks
The OCN NI Level 4 Certificate in Data Analytics is designed to develop learners' understanding and practical application of key data analytics principles and techniques.
Through this qualification, learners will gain knowledge and hands-on experience in:
- Hypothesis testing
- Predictive analytics
- Regression analysis
- Data assessment and cleansing
- Machine learning concepts and applications
Learners will also develop practical skills using industry-standard tools and technologies, including:
- Microsoft Excel
- Microsoft Power BI
- Google Colab (Colaboratory)
By completing this qualification, learners will be equipped with the analytical, technical, and problem-solving skills required to collect, prepare, analyse, and interpret data to support informed decision-making across a range of business environments.
No entry requirements, however it would be expected that you are educated to a minimum of A-Levels standard, be computer literate and have access to your own laptop to complete the course online.
This course is fully funded under EIZ AME Further funding.
Applicants must meet each of the following criteria:
- Applicants to be 18 years or older at point of enrolment.
- Applicants must have a right to work and undertake training in the UK at the point of application and for the duration of the course and must not be disqualified from doing either by reason of their immigration status. Proof of this will be required to progress application.
- Individuals will be available to register in person at provider campus as required.
- Individual courses may have enhanced eligibility, details of which will be provided by The Provider.
You will complete the OCN L4 Data Analytics exam and coursework.
Careers
Data Analyst, Data Engineer. Learning Power BI, predictive analytics, and machine learning can help progress to more advanced analytical roles.
Interests
Artificial Intelligence (AI) and Machine Learning, Working with data and numbers, Research and analysis, Data quality and accuracy.
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