Data Analyst Training Course: What You’ll Learn

Every business now runs on data, but most businesses are short of people who can actually make sense of it. Turning a spreadsheet full of raw numbers into a dashboard that tells a manager exactly what to do next is a specific, learnable skill, and it is one of the fastest-growing entry points into a well-paid career in the UK right now. Our Data Analyst Training course is built to take you from beginner to job-ready in sixteen weeks, using the same tools employers actually use, not a simplified version of them.
This article goes through exactly what the course covers, how it is structured, who it suits, and what you come out with at the end.

Course overview

Data Analyst Training is a structured programme run over three to four months, roughly 200 hours of guided learning in total, delivered through e-learning modules combined with live 1-to-1 mentor sessions. Learning is self-paced within that structure, so you can build a schedule around work, study or other commitments rather than being tied to fixed class times. By design, the course takes you from beginner to job-ready, which means it assumes no prior data background and builds every skill from first principles before moving into the professional tools you will actually use in a job.

By the end of the course, you will be able to take a raw, messy dataset and turn it into a clean, structured, genuinely useful piece of analysis, presented through a dashboard or report built in the same software UK employers expect data analysts to know. You will also hold a CPD-approved certification recognised by employers.

What the course covers, module by module

The course is built around six core areas that mirror the real workflow of a working data analyst: understanding the role, cleaning and structuring data, visualising it, querying it directly from a database, building professional-grade dashboards, and applying all of it to real projects.

Foundations of data analysis

Before touching any software, the course starts with the fundamentals: how organisations actually use data to make decisions, where a data analyst sits in that process, and what separates a genuinely useful piece of analysis from a spreadsheet full of numbers nobody acts on. This grounding matters more than it might sound. A huge amount of the value a data analyst brings is asking the right question in the first place, and this module is where that habit gets built before the technical modules layer on top of it.

Excel

Excel remains the single most-used tool in data work, and the course treats it properly rather than assuming you already know it. You will cover data organisation and cleaning, the sort of unglamorous but essential work that takes up a genuinely large share of a working analyst’s time, along with calculations, Power Query for pulling and reshaping data from multiple sources, and pivot tables for summarising large datasets quickly. Getting genuinely fast and accurate in Excel is one of the most transferable skills in the entire course, since almost every employer, regardless of what other software they use, expects a data analyst to be strong in it. You can learn more about excel here.

Power BI

From Excel, the course moves into Power BI, Microsoft’s business intelligence tool and one of the most widely used dashboarding platforms in UK workplaces. You will learn to build interactive dashboards and reports that let non-technical colleagues explore data themselves, filtering and drilling into the numbers that matter to them without needing to come back to you for every new question. This is a genuinely high-value skill, since a well-built Power BI dashboard can save a business hours of manual reporting every single week. Learn more about our Business Analyst Training Course here.

SQL and databases

Most business data of any real size lives in a database, not a spreadsheet, and this module teaches you to work with it directly. You will learn to write SQL queries to retrieve, filter, join and summarise information stored in relational databases, which is the skill that separates a data analyst who can only work with data someone else has already exported for them from one who can go and get exactly what they need. SQL is consistently one of the most requested skills in UK data analyst job postings, and it is also one of the more intimidating ones to learn alone, which is where having a mentor to work through real queries with makes a genuine difference.

Tableau

Alongside Power BI, the course also covers Tableau, another leading dashboarding and visualisation platform widely used across UK businesses, particularly in larger organisations and specific sectors such as retail and finance. Learning both Power BI and Tableau rather than just one means you are not locked out of roles simply because a particular employer has standardised on the other tool, and it also deepens your understanding of visualisation principles generally, since the two platforms approach similar problems in different ways.

Python

The course also introduces Python for data analysis tasks and dataset manipulation. Python has become close to a standard expectation for data analyst roles that involve larger datasets, repeated or automated analysis, or any crossover with a data science function. You do not need to become a software engineer to get real value from this module. The goal is practical fluency: being able to write a script that cleans, joins or analyses a dataset far faster and more reliably than doing the same work by hand in a spreadsheet.

Practical projects

Everything above comes together in the practical projects module, where you apply the full toolkit to real-world analysis tasks using genuine datasets rather than simplified textbook examples. This is deliberate. Employers want to see that you can handle the mess of real data, missing values, inconsistent formatting, multiple sources that need joining together, not just execute a clean, pre-prepared exercise. Finishing the course with a portfolio of real project work is also one of the strongest things you can point to in an interview.

Who this course is for

Data Analyst Training is built for a genuinely broad range of people, because demand for this skill set spans almost every industry and every stage of career.

Graduates who studied a subject with no direct route into data work, but who want practical, employer-ready experience rather than another purely academic qualification, get a fast, structured route into a genuinely in-demand field.

Career switchers and professionals looking to upskill, including people already working in finance, operations or admin roles who spend part of their week wrangling spreadsheets already and want to formalise and deepen that skill into a dedicated career, are a natural fit for the course.

Motivated beginners with strong career ambitions but no formal background in data or technology are exactly who the course is designed for. Nothing about the curriculum assumes prior experience, and the combination of structured e-learning and 1-to-1 mentoring exists specifically to support people starting from scratch.

IT and technical professionals transitioning into a dedicated data role often find the course a fast way to formalise skills they have partially picked up on the job into a proper, recognised qualification, and to fill in gaps, particularly around Power BI, Tableau and structured SQL work, that their existing experience may not have covered.

There are no formal entry requirements to start the course.

CPD certification

On successful completion, you receive a CPD-approved professional certification. This gives employers a clear, quality-assured signal that you have completed a defined curriculum covering the tools they actually expect a data analyst to know, rather than a self-taught, uneven mix of online tutorials. It also sits well alongside any other professional development or qualifications you are pursuing, since it is recognised as legitimate ongoing learning rather than an informal add-on.

Career outcomes

Data analyst roles in the UK span a wide salary range depending on experience, sector and the specific tools a role uses, and the course is built with that full range of outcomes in mind. Graduates typically move into roles including junior data analyst, generally in the region of £25,000 to £35,000 or more to start, data analyst, typically £28,000 to £45,000 or more, reporting analyst, usually £30,000 to £50,000 or more, and business intelligence analyst, generally £35,000 to £55,000 or more as experience builds. The provider’s own figures put the average salary achieved by graduates at around £50,000, reflecting the fact that strong Power BI, SQL and Python skills together open doors to higher-paying analyst and BI-focused roles rather than entry-level data entry work.

Demand is genuinely strong right now, with well over 30,000 data analyst job openings advertised across the UK at any given time. Unlike some more niche technical specialisms, data analyst skills are needed across essentially every sector, from finance and retail to healthcare, logistics and the public sector, which means the qualification travels well regardless of which industry you want to work in.

Guaranteed recruitment support

As with all our courses, finishing the training is only half the value. Every learner also receives guaranteed recruitment support designed to convert the qualification into an actual job offer. This includes CV optimisation to make sure your new technical skills and project work are presented in a way employers and applicant tracking systems will actually pick up on, interview coaching so you can talk confidently through the projects you built and the decisions you made in them, LinkedIn profile enhancement to make you visible to recruiters actively searching for candidates with exactly this skill combination, and hands-on job search assistance throughout.

This support exists because a portfolio of real project work, built during the course on genuine messy datasets, is only valuable if it actually gets in front of the right hiring managers. The recruitment support is there to make sure it does.

How the course is delivered

Training combines structured e-learning modules you work through at your own pace with live 1-to-1 mentor sessions, so you get the flexibility of self-directed learning without losing direct feedback and support from someone experienced in the field. This matters particularly in a course covering six different tools, since getting stuck on a SQL query or a Power BI data model is far easier to work through with a mentor than by searching forums alone. Courses run from our London and Croydon locations, with flexible scheduling built around work and other commitments.

Common questions about the course

Do you need a maths, statistics or computer science background to join?

No. The course is built to take genuine beginners from first principles through to job-ready, and the foundations module exists specifically to make sure nobody is left behind before the technical modules start.

Do you need to learn all six tools, or can you specialise?

The course covers all six areas because that breadth is exactly what most UK data analyst job postings ask for. In practice, most learners find they naturally gravitate towards one or two tools they enjoy most, Power BI and SQL is a common combination, but having working knowledge across the full set makes you eligible for a far wider range of roles than specialising early would.

Will you have something real to show employers at the end? Yes. The practical projects module is built around genuine, messy datasets specifically so you finish the course with a portfolio you can talk through in an interview, not just a certificate.

Is this suitable if you are already working full time?

Yes, and most learners are. The blend of self-paced e-learning and scheduled 1-to-1 mentoring is designed to work around a full-time job rather than compete with it.

Getting started

If you want a genuinely practical route into one of the UK’s fastest-growing job categories, and you would rather learn Power BI, SQL, Tableau and Python properly, with real mentoring and real projects, than try to piece it together from scattered free tutorials, Data Analyst Training is built to get you there in months rather than years. Get in touch to talk through whether this course is the right next step for you.

To speak to the team about enrolment, dates or anything else about the course, call 020 3038 8548 or email enquiries@pctrainings.co.uk.