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.

Course Materials: Data Analyst HTQ Brochure

Duration: 7-8 months Course Cost: £1400 - Payment Options

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.

Duration:	7-8 months
Timings:	1 day a month, 9am-5pm with scheduled breaks during the session
Study Modes:	Fully remote, 6 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:	£1400 - Payment Options
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 Date	Information
Thursday 29th May 2025	We're not currently enrolling for this course, but we'd love to keep in touch. Register your interest today, and we’ll notify you as soon as new start dates become available.

Module 1 - Data fundamentals and lifecycle 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.
Moduel 2 - 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.
Module 3 - 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.
Module 4 - Organisation data 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.
Module 5 - 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.
Module 6 - 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.

Q. What does the NCFE awarding body say about HTQs?

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Q. What are the entry requirements for the NCFE Level 4 Data Analyst HTQ?

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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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