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NCFE Diploma: Data Analyst (HTQ)

Unlock the power of data with our Level 4 Data Analyst Higher Technical Qualification (HTQ), available for delivery nationwide. Ideal for anyone looking to build confidence working with data, this comprehensive programme provides the essential skills and knowledge to analyse, interpret, and visualise data effectively. Whether you’re looking to start a new career or advance in your current role, our HTQ in Data Analysis provides the expertise needed to thrive in today’s data-driven world.

If you are paying as a private learner, you can enrol onto cohort 1, starting 4th June 2026, this will consist of 1 session every 2 weeks, with a session on Thursdays.
If securing an Advanced Learner Loan to complete this HTQ, you can enrol onto cohort 2, starting 8th June 2026. This will consist of two sessions each week, with a session on Mondays and Wednesdays.

 

Course Materials: Data Analyst HTQ Brochure

Duration: 7-8 months Course Cost: Private Learner- £1800 + VAT
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Course Logo

Course Overview

Our Data Analyst Higher Technical Qualification (HTQ) is ideal for anyone looking to build confidence and capability with data – whether you’re starting out, changing careers, or developing new skills for the future.  You will acquire programming skills and experience using a range of industry-standard software, and develop abilities in data interpretation, statistical analysis, and solving problems based on data.

This qualification will also help you become a skilled communicator, adept at presenting concepts and ideas tailored to various audiences. Additionally, you will obtain valuable transferable skills such as research, evaluation, and teamwork.

Our training courses are exclusively available to residents of the UK, ensuring learners receive industry-recognised qualifications that align with UK qualification standards, funding options, and employment opportunities.

If you are paying as a private learner, you can enrol onto cohort 1, starting 4th June 2026, this will consist of 1 session every 2 weeks, with a session on Thursdays.

If securing an Advanced Learner Loan to complete this HTQ, you can enrol onto cohort 2, starting 8th June 2026. This will consist of two sessions each week, with a session on Mondays and Wednesdays.

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Duration:7-8 months
Timings:Cohort 1: 1 day every 2 weeks, 10am-3pm with scheduled breaks during the session | Cohort 2: 2 days each week, 10am-3pm with scheduled breaks during the session
Study Modes:Fully remote, 12 x live training sessions, self study assessments
Qualifications and Level:Level 4 Diploma - nationally recognised qualification
Entry requirements:

Please see below the entry requirements for the Level 4 Diploma:Data Analyst:

Learners must be aged 18 or over.
Learners must own (or have access to) a laptop or desktop computer with internet access.
A Windows device is preferred to access the specialist data software we will use and your computer will need the ability to download free software.

Cost:Private Learner- £1800 + VAT
Who is this aimed at?

The HTQ Level 4 Diploma in Data Analytics is perfect for:

  • Career Starters entering data analytics
  • Career Changers transitioning to data-focused roles
  • Current Employees who use data in their roles to inform decisions

This could include Marketing, Sales, Finance, IT, MI or Administration. Employers training staff to leverage data insights. Flexible and hands-on, it’s designed for learners at all stages.

Course DateInformation
Thursday 4th June 2026Cohort 1: Legislation, Security & Ethics
Monday 8th June 2026Cohort 2: Legislation & Security – Foundations
Wednesday 10th June 2026Cohort 2: Legislation & Security – Applied Compliance
Friday 12th June 2026Cohort 2: Optional Support Session – Unit 1
Monday 15th June 2026Cohort 2: Data Fundamentals – Types, Structures & Classification
Wednesday 17th June 2026Cohort 2: Data Lifecycle & Dataset Analysis
Thursday 18th June 2026Cohort 1: Data Fundamentals
Friday 19th June 2026Cohort 2: Optional Support Session – Unit 2
Monday 22nd June 2026Cohort 2: Databases & Modelling
Wednesday 24th June 2026Cohort 2: Data Quality Risks & Mitigation
Friday 26th June 2026Cohort 2: Optional Support Session – Unit 3
Monday 29th June 2026Cohort 2: Stakeholder Planning & Requirements
Wednesday 1st July 2026Cohort 2: UX, Visualisation & Impact
Thursday 2nd July 2026Cohort 1: Data Classification & Lifecycle
Friday 3rd July 2026Cohort 2: Optional Support Session – Unit 4
Monday 6th July 2026Cohort 2: Data Combination, Methods & Tools
Wednesday 8th July 2026Cohort 2: Architecture & Data Modelling
Friday 10th July 2026Cohort 2: Optional Support Session – Unit 5
Monday 13th July 2026Cohort 2: Statistical Methods & Analytics
Wednesday 15th July 2026Cohort 2: Applied Statistical Tools & Data Mining
Thursday 16th July 2026Cohort 1: Support Session: Assignment Support & Masterclasses
Friday 17th July 2026Cohort 2: Optional Support Session – Unit 6
Thursday 30th July 2026Cohort 1: Databases & Data Modelling
Thursday 13th August 2026Cohort 1: Quality Risks in Data
Thursday 27th August 2026Cohort 1: Stakeholder Engagement
Thursday 10th September 2026Cohort 1: Support Session: Assignment Support & Masterclasses
Thursday 24th September 2026Cohort 1: Reporting & Communication
Thursday 8th October 2026Cohort 1: Data Combination Techniques
Thursday 22nd October 2026Cohort 1: Data Architecture
Thursday 5th November 2026Cohort 1: Support Session: Assignment Support & Masterclasses
Thursday 19th November 2026Cohort 1: Statistical Methods
Thursday 3rd December 2026Cohort 1: Statistical Tools
Thursday 17th December 2026Cohort 1: Data Mining

Data fundamentals and lifecycle


This module provides learners with a comprehensive understanding of different data types, their characteristics, and applications. It explores data classification and management, addressing the importance of organising, sharing, and storing data effectively.

Learners will also study the stages of the data lifecycle—data creation, storage, sharing, archival, and deletion—emphasising their role in ensuring data integrity. Through practical application, this unit equips learners with the skills needed to handle and manage data across its lifecycle in professional environments.

Data mining and statistical analysis


This module equips learners with the skills to extract meaningful insights from complex datasets using advanced statistical methodologies. It covers key statistical techniques such as descriptive statistics, hypothesis testing, and correlation analysis.

Learners explore data mining and predictive analytics to identify patterns and trends, applying statistical tools like Python and SQL. This unit focuses on how to use these methods to support informed decision-making in data-driven environments.

Data structure and databases


This module introduces learners to fundamental concepts of data organisation and storage. It covers key data structures such as arrays, lists, and trees, as well as database management systems.

Learners will explore relational databases, SQL, and how to design, create, and query databases effectively. The unit emphasises how proper data structuring enhances efficiency and accessibility in managing large datasets, preparing learners to handle data in real-world applications.

Organisational Data


This module provides a detailed exploration of data analytics within an organisational context. It covers key concepts such as data combination techniques for matching and comparing datasets, identifying appropriate data sources, and understanding organisational data architecture and storage solutions such as data warehouses, data lakes, and data marts.

Learners examine common data analytics methods, including data mining and predictive analytics, alongside the functions and features of tools such as Python, SQL, spreadsheets, and business intelligence software. The module focuses on how to select appropriate tools and design data models to support organisational requirements and enable effective, real-world data analysis.

Legislation and security standards applied to data analytics


This module provides learners with an understanding of the legal and ethical frameworks surrounding data usage. It covers key legislation such as the General Data Protection Regulation (GDPR) and other data protection laws, as well as industry-specific security standards.

Learners explore best practices for ensuring data privacy, confidentiality, and security in data analytics, focusing on compliance and risk management in handling sensitive information.

Stakeholder engagement and user experience in data analytics


This module teaches learners how to effectively communicate and collaborate with stakeholders throughout the data analytics process. It covers techniques for identifying stakeholder needs, translating data insights into actionable recommendations, and ensuring that data-driven decisions align with business objectives.

Additionally, the unit focuses on improving user experience by delivering clear, relevant, and user-friendly data presentations and solutions that meet stakeholder expectations.

The HTQ Level 4 Diploma in Data Analysis will provide students with a comprehensive understanding of data collection, processing, and interpretation, preparing them for a variety of roles within the tech and data-driven sectors.

The qualification is broken down into 6 units:

  • Data fundamentals and lifecycle
  • Data mining and statistical analysis
  • Data structure and databases
  • Organisation data
  • Legislation and security standards applied to data analytics
  • Stakeholder engagement and user experience in data analytics

Why do HTQ’s benefit learners? 
HTQs can give learners the confidence to be able to acquire the skills prospective employers are looking for.  For a wide range of learners they offer considerable flexibility with the opportunity to study part time, with or without an employer.   They’re a great way to continue their educational journey, get a good job or learn new skills and move up the career ladder.  They also offer a high-quality alternative to other routes, such as apprenticeships, traineeships or degrees.

How can HTQs benefit Employers
Employees who gain these Higher Technical Qualifications can bring a wide range of benefits to any organisation, from boosting productivity and innovation to enhancing employee satisfaction and retention.  By investing in a technically skilled workforce, companies can achieve greater efficiency, maintain high standards of quality and safety, and secure a competitive edge in their industry.  HTQs are available to existing staff, identify the future managers and data gurus and take advantage of these great qualifications at even better prices.

Simon Gentile

Simon Gentile

Trainer

Simon joined Fareport Training in November 2024 as an experienced trainer, coach and mentor.  He has been working with level 3 and level 4 Data Analyst apprenticeship learners for around 5 years.

Prior to this, Simon has over 10 years practical experience working in Data Analytics in corporations and SMEs.

Simon is currently studying towards his CAVA assessor qualification.

The training sessions are helping my own professional development because I would like to change my career. Iryna

This session has help to have a good introduction to understanding what Data is all about, it usefulness and application,  Glad I enrolled. Eniola

Excellent teaching, Simon makes the class very all inclusive and makes sure we’re all following. Very patient and answers questions quickly and with patience with the students. Anna

Q. What does the NCFE awarding body say about HTQs?
Q. What support is available during the course?
Q. What resource materials will be available?
Q. What is the structure of the Data Analyst HTQ?
Q. What are the entry requirements for the NCFE Level 4 Data Analyst HTQ?
Q. How much does it cost to study the Data Analyst HTQ?
Q. How will I be assessed for the course?

Why choose to learn with Fareport Training?

Fareport Training was established in 1981 in order to offer young people a route into work through work based training. In 2014 the business was purchased with support from entrepreneur Theo Paphitis by Natalie Cahill and Marinos Paphitis. Since then we have been building on Fareport’s excellent reputation for high quality training and delivering training and apprenticeships across England. We are proud to offer:

  • Expert-Led Instruction: Gain insights from industry leaders and seasoned professionals.
  • Cutting-Edge Curriculum: Stay ahead with the latest trends, tools, and techniques.
  • Flexible Learning Options: Balance your education with your professional and personal life.

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