NOCN
Level 3
QN: 610/1421/7
Curriculum Active
NOCN Level 3 Certificate for Data Technicians
Official qualification regulated by Ofqual, awarded by NOCN. Classified as a Vocationally-Related Qualification. Total guided learning hours: 150 hours.
Qualification Level
Level 3
Awarding Body
NOCN
Syllabus Units
5 Units
Guided Hours
150 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
NOCN Level 3 Certificate for Data Technicians
Data Engineering and Big Data Handling
Verified
Key Learning Objectives:
- Understand data engineering and the Extract Transform and Load (ETL) process.Understand data management and database management systems (DBMS).Be able to use basic structured query language (SQL) commands for setting up DBMS schemas and data reporting.Know how to use data pipelines and ETL.Understand the Big Data Ecosystem and its applications.
2
NOCN Level 3 Certificate for Data Technicians
Data Visualisation
Verified
Key Learning Objectives:
- Understand data visualisation and its tools and techniques. Understand key data visualisation concepts.Be able to create visualisations for social media analytics.Be able to use a data visualisation tool to create a powerful visualisation.Be able to use data visualisation tools and concepts in a real-world project.
3
NOCN Level 3 Certificate for Data Technicians
Introduction to Data Science
Verified
Key Learning Objectives:
- Know the role of a Data Scientist and the data science life cycle.Understand the functional aspects of data science.Know the key skills of a Data Scientist.Know the different tools and technologies of data science.Understand the applications of data science in various industry verticals through use cases.
4
NOCN Level 3 Certificate for Data Technicians
Introduction to Python
Verified
Key Learning Objectives:
- Write Python scripts to perform basic data operations
- Implement complex techniques such as list comprehensions and lambda functions
- Apply error handling using try-except blocks
- Create and use functions to modularise code
- Use Pandas to clean, transform, and analyse data
- Generate visualisations using Matplotlib or Seaborn
- Develop a complete Python application integrating data processing and visualisation
5
NOCN Level 3 Certificate for Data Technicians
Statistical Modelling
Verified
Key Learning Objectives:
- Understand the fundamentals of statistics. Know about hypothesis testing and its application.Know about regression testing and its importance in data science.Know about Bayesian statistics and its application.Know about time series data and forecasting techniques for predictive analytics.
Regulatory & Verification Details
- Qualification Number (QN)
- 610/1421/7
- Regulated Status
- Available to learners
- Awarding Body
- NOCN
- Qualification Type
- Vocationally-Related Qualification
- Operational Start
- Sept 2022