Data Analyst Higher Technical Qualification (HTQ) 
Data Analysts are integral in aiding businesses to make knowledgeable decisions by scrutinizing, managing, and interpreting data to deliver critical insights. The NCFE Level 4 HTQ qualification is tailored to equip learners with the essential knowledge, skills, and behaviours necessary for a 
range of data analysis positions. Find out more below. 

On this page:  

  1. Key facts: 

Duration: 13 Months Taught Time 
Start Dates: TBC 
Study Modes: Fully remote online teaching and coaching with a range of interactive activities 
Qualifications Achieved: Level 4 Data Analyst Apprenticeship 
Entry Requirements: TBC 
Cost: This programme costs £15,000 – all covered through the Apprenticeship Levy. Even if employers don’t pay into the Levy, they will only pay 5% of the full price, with the remaining 95% being paid for by the Government. 

 2. The Data Analyst course is suitable for: 

 
 
 
 
 
Finance 
Teams. 
 
 
 
 
 
HR 
Teams 
 
 
 
 
 
Operations 
Teams 
 
 
 
 
 
Marketing 
Teams 
 
 
 
 
 
IT 
Teams 
 
 
 
 
 
Sales 
Teams 

 3. Data Analyst HTQ course overview 

Our Data Analyst Higher Technical Qualification (HTQ) is designed to launch your career in data science, whether you are new to the field or considering a career shift. 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. 

 4. Essential Tools for a Data Analyst to learn... 

 5. Data Analyst HTQ course modules & timeline (Click Module titles to expand text) 

 
In the Data Fundamentals and Lifecycle module, you'll get a solid introduction to the basics of data management. We'll guide you through the entire data lifecycle, from collecting and storing data to processing and analysing it. This module is ideal for anyone eager to build a strong foundation in data analytics in an easy-to-understand format. 
 
In our Data Analytics & Excel module, you'll learn how to use Excel for practical data analysis. This module covers how to manipulate, analyse, and visualize data effectively, giving you the skills to provide useful insights and make informed decisions. It’s perfect for anyone looking to enhance their data handling abilities in a friendly, approachable way. 
 
In our Data Cleaning, Transformation & Pre-processing module, you’ll learn the crucial steps needed to prepare data for analysis. We'll show you how to clean data, transforming it into a format that’s ready for analysis, and teach you pre-processing techniques to ensure accuracy and relevance. 
 
In the Data Visualization & Data Storytelling module, you'll discover how to turn complex data into compelling visual stories. We’ll teach you how to use tools and techniques to create clear and engaging data visualizations that can inform and persuade your audience. 
 
In our Data Modelling & Combining Sources module, you’ll learn how to build data models and merge information from different sources into a cohesive dataset. We’ll cover the techniques for structuring data effectively and combining disparate data elements to uncover new insights. 
 
In the Data Mining and Statistical Analysis module, you'll explore how to extract meaningful patterns and insights from large datasets. We’ll teach you statistical methods to analyse data and make predictions. 
 
In our Data Structure and Databases module, you’ll learn about the organization of data within databases and how to efficiently manage it. We cover different data structures and their applications, along with the fundamentals of database design and implementation. 
 
In the Machine Learning & Data Analytics module, you’ll learn the basics of machine learning techniques and how they can be applied to analyse data. We'll guide you through different machine learning models and show you how to use these tools to predict outcomes and enhance decision-making. 
 
In our Organisational Data module, you'll learn how to manage and analyse data within the context of an organization. We'll explore how data flows through various business processes and how it can be leveraged to improve operational efficiency and strategic decision-making. 
 
In the Legislation and Security Standards Applied to Data Analytics module, you’ll learn about the key legal and security guidelines that govern the use of data. We cover important legislation like GDPR and the best practices for data security, helping you ensure compliance and protect data integrity. 
 
In our Stakeholder Engagement and User Experience in Data Analytics module, you’ll discover how to effectively communicate with stakeholders and enhance the user experience through data-driven insights. We'll teach you strategies for presenting data in ways that engage and resonate with diverse audiences, ensuring your analytics projects meet user needs and expectations. 
 
In the Presenting Data Analysis Concepts & Projects module, you'll learn the art of communicating your data analysis findings clearly and effectively. We'll guide you through creating compelling presentations and visualizations that can tell the story of your data to any audience. 
 
In our Portfolio & EPA Preparation module, you'll learn how to build a professional portfolio that showcases your data analysis skills and projects. We'll also prepare you for the End Point Assessment (EPA), ensuring you have all the necessary tools and confidence to excel. 

 6. Why choose Fareport for your Data Analyst HTQ course? 

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 work with trusted brands such as... 

 7. How do you apply for the Data Analyst HTQ run by Fareport Training? 

Simply complete the Register Your Interest form at the bottom of this page and we’ll be in touch. For more information and support with your enquiry, please contact Fareport by emailing x or phoning x 

 8. Frequently Asked Questions 

 
Higher Technical Qualifications (HTQ) are Level 4 and 5 qualifications that bridge the gap between A/T Levels and degree programs. Developed collaboratively with awarding bodies, employers, and businesses, these qualifications are tailored to provide learners with the targeted training, knowledge, and skills required for their career paths. HTQs are intended to be pursued as standalone qualifications, offering an alternative to apprenticeships, rather than being part of an apprenticeship scheme. 
 
To enrol in a course, you must fulfil the entry criteria established by the institution. These requirements differ, but typically include having specific GCSEs or A levels at particular grades, and occasionally in specified subjects. Additionally, qualifications such as BTECs, T levels, and various other Level 3 qualifications are commonly accepted by many institutions, many of which also utilize the UCAS Tariff system. 
 
Depending on the subject area, you may have various options for how you undertake your studies. Besides the possibility of studying for a Higher Technical Qualification (HTQ) full-time, you can also choose from part-time, online, or other flexible study methods. For instance, many courses are available through distance learning. 
 
If you choose to pursue an HTQ as a standalone qualification, you will need to pay tuition fees, which can range from approximately £7,000 to £9,250 per year for courses lasting one or two years. 
 
You might be eligible for government-supported tuition fee and maintenance loans through Student Finance England. Additionally, scholarships, bursaries, or grants could be available to those who meet specific criteria. More information about these financial supports can be found on the UCAS website, and it's also advisable to inquire with HTQ providers about any special funding opportunities. In certain cases, you may qualify for funding through an Advanced Learner Loan. 
 
Starting from the academic year 2023/24, the government will expand access to student loans to include part-time HTQ students. If you are employed, your employer might also offer support for obtaining an HTQ. 
 
Navigating student funding can be complex, so it's crucial to seek the most current information and advice. 

 9. Register Your Interest Today In The Data Analyst HTQ Course 

Address 
Westfield House 
Fareham 
Hampshire 
PO16 0DH 
Phone 
01329 825805 
Email 
For Learners / Apprentices - info@fareport.co.uk 
Opening hours 
Monday - Friday: 8am - 4pm 

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