On this page:
1. Key facts 2. Which business area is our Data Analyst apprenticeship suitable for? 3. What does a Data Analyst do?
4. Data Analyst apprenticeship modules 5. Why use Fareport for your Data Analyst training? 6. Data Analyst tools & technologies you'll learn
1. Key facts:
Duration: 13 months teaching 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: Candidates should be enthusiastic about data analysis and be committed to developing their skills through the apprenticeship. Candidates should also have access to data to be able to complete the assessments required and allow for hands-on experience and insights into real-world data challenges.
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. Which business area is our Data Analyst apprenticeship suitable for?
Finance
Teams
HR
Teams
Operations
Teams
Marketing
Teams
IT
Teams
Sales
Teams
3. What does a Data Analyst do?
Data analysts are employed across various sectors, including but not limited to retail, banking, media, logistics, and government. Their role is crucial in any organisation that relies on data to drive business decisions. These professionals may be positioned in different departments such as finance, sales, HR, or marketing, serving either public or private sectors.
The primary purpose of a data analyst is to explore how data can be utilised to answer questions and address problems. This involves processes such as collecting, examining, cleaning, transforming, and modelling data. The aim is to uncover valuable insights, support conclusions, and aid in making informed decisions. Data analysis incorporates several methods and techniques, playing an essential role in enhancing the evidence-based decision-making of an organisation.
For instance, a data analyst might analyse social media trends to assess their influence on a company, or evaluate sales data in retail to advise on product strategies. In human resources, they could examine employee retention data to optimise recruitment plans, while in healthcare, they might analyse patient wait times to improve service delivery.
On a day-to-day basis, data analysts interact with both internal stakeholders and external clients, providing crucial data insights and analyses. They generally operate within standard business hours from an office setting.
Data analysts are tasked with producing and managing their outputs to align with organisational goals. They must operate within the framework of their company's data architecture and adhere to relevant data protection laws and policies. As the field of data analytics is ever-evolving, they are also expected to keep up-to-date with the latest developments in data technologies, tools, and industry practices.
4. Data Analyst apprenticeship modules (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 Visualisation & 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 visualisations 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 organisation 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 organisation. 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 visualisations 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.
5. Why use Fareport for your Data Analyst 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 work with trusted brands such as...
6. Data Analyst tools & technologies you'll learn:
7. Meet your trainer...
Tallulah is a skilled data analysis trainer with extensive experience in educating aspiring data analysts. Her expertise spans a wide array of data practices and tools, making her a valuable resource for anyone looking to enhance their skills in data manipulation and interpretation.
Tallulah's approach to training is hands-on, ensuring that her trainees not only learn the theoretical aspects of data analysis but also gain practical experience through real-world projects and case studies.
8. What to expect from Fareport Training:
Live Online
group training
Regular
Progress
Tracking
Wellbeing
1 on 1 support
9. How can Data Analysts add value to your business?
Data analysts bring a wealth of benefits to businesses, playing a pivotal role in enhancing decision-making, optimising operations, and driving growth. Here's how a data analyst can add value to your business:
Improved Decision-Making: Data analysts help convert raw data into actionable insights, providing businesses with the information needed to make informed decisions. By analysing trends, patterns, and correlations within data, they offer a solid foundation for strategic planning and risk management.
Enhanced Efficiency: Through their analysis, data analysts can identify inefficiencies in business processes and suggest improvements. This may involve streamlining operations, reducing costs, or enhancing productivity, all of which contribute to a more efficient business model.
Better Customer Insights: Data analysts help businesses understand their customers more deeply by analysing behaviour, preferences, and feedback. This insight is crucial for tailoring products and services, improving customer satisfaction, and developing targeted marketing strategies that speak directly to the needs and desires of the customer base.
Risk Management: By forecasting trends and assessing data patterns, data analysts can help businesses anticipate market changes and mitigate potential risks. This proactive approach to risk management can save significant resources and protect the business from unexpected disruptions.
Driving Innovation: Data analysts often uncover opportunities for new product development or process innovation through their analysis. By recognising unmet needs or emerging trends, they can guide businesses in pioneering new markets or improving existing offerings.
Competitive Advantage: In today's data-driven world, having a robust analytics capability can provide a significant competitive edge. Data analysts empower businesses with the knowledge to outmanoeuvre competitors, adapt to changing market conditions, and strategically position themselves for long-term success.
Revenue Growth: By optimising marketing strategies, improving customer retention, and enhancing product offerings, data analysts directly contribute to increasing revenue. Their insights ensure that resources are allocated to the most profitable channels, maximising return on investment.
10. Frequently asked questions
You can still undertake an apprenticeship if you don’t have Maths or English Qualifications however, before you complete your apprenticeship you must achieve a Level 2 Functional Skills qualification in both Maths and English.
The Functional Skills qualifications are funded by The Education and Skills Funding Agency (ESFA) and you will be fully supported throughout your apprenticeship to achieve these qualifications.
Unfortunately, due to Government funding rules, you will need to provide evidence of your Maths and English qualifications. If you’re unable to provide proof of these then you will need to complete Functional Skills level 2 Maths and English.
You will be fully supported throughout your apprenticeship to achieve these qualifications.
All training is provided remotely, online via Microsoft Teams. The sessions are engaging and consist of a range of interactive and practical activities so you can get that hands-on experience.
All full-time apprentices (those who work at least 30 hours per week) must spend at least 20% of their normal working hours (6 hours a week maximum), over the planned duration of the apprenticeship practical period, on Apprenticeship training.
We aim to make your training a seamless integration into your normal role, you will complete a wide mixture of training to make sure the apprenticeship aligns nicely into your day-to-day activities, and you’ll be fully supported throughout your apprenticeship to achieve this.
This apprenticeship is designed to be incredibly inclusive as possible. Each module starts with the fundamentals, and you can build it up to wherever you want to take it. If you have some data available to you, this course will a perfect chance to learn new skills, knowledge and behaviours.
We will always do an initial call with you first to assess where you’re currently at and you have the chance to discuss this with us first before you begin the apprenticeship.
