Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytics - Skills Bootcamp for Employability

TN United Kingdom
Portsmouth
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics Analyst

Data Analytics Manager

Data Analytics Engineer

Data Analytics Analyst

Data Analytics Senior Analyst - Assistant Vice President - Citi

Data Analytics Engineer - NonVolume

Social network you want to login/join with:

Data Analytics - Skills Bootcamp for Employability, PortsmouthClient:

targetjobs Hired

Location:

Portsmouth, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9c8cedea21f8

Job Views:

99

Posted:

14.03.2025

Expiry Date:

28.04.2025

Job Description:

This is a great FREE bootcamp for young people, looking to help get onto the career ladder and look at a data analytics role.

Skills around collecting, sorting and analysing data have never been in greater demand - the average salary for a data analyst in the UK is £55,000 (Talent.com).

Whether you're just starting your career, or you're hoping to change career paths, learning data analytics skills can be the key to unlocking new and rewarding career opportunities. A great way to achieve this is through Skills Bootcamps – part of the Government’s Lifetime Skills Guarantee, helping everyone gain skills for life.

Skills Bootcamps are free, flexible courses of up to 16 weeks, giving people the opportunity to build up sector-specific skills and an offer of an interview with an employer upon completion. Learners may also be eligible for job placement in an entry-level data role upon successfully completing the bootcamp, such as data analyst.

What you'll learn in this Skills Bootcamp

  • Sorting and processing data using programming languages like Python and Pandas
  • Data visualisation and reporting in tools like Matplotlib and Seaborn
  • Drawing from and communicating key insights with data
  • And much more

How is this Skills Bootcamp delivered?

We deliver our full curriculum online to give you the flexibility to learn from anywhere and at your own pace. A mix of experiential learning, coaching, technical mentorship and peer support help you gain confidence in data skills and quickly apply them in practice.

You benefit from the following to aid you in your learning journey:

  • Expert lectures and instruction from world-class faculty
  • Immediate feedback on exercises through our EDUKATE.AI data learning platform
  • Engagement and support from peers through our online Knowledge Base forum

Safety and respectful learning environment notice:For the benefit of all participants and to ensure a safe and distraction-free learning environment, we kindly request that attendees participate in live sessions from a stationary location. Please refrain from attending sessions while walking, driving, or in any situation that might pose a safety risk or distract other learners. Your cooperation ensures a productive and respectful environment for all.

The programme will last 14 weeks with 15-17 hours of study time per week. Your bootcamp includes 10 hours of live learning per week, and these sessions must be attended in order for your course to continue to be government funded.

The schedule (subject to minor changes) for each of the 14 weeks will follow the below structure beginning onMonday 23rd September. Outside the schedule below, there will also be an induction session held on, which is designed to set you up for success on the programme:

What would make you a match

  • Are based in either in Devon or Hampshire
  • Are 19 years or older
  • Have the right to live and work in the UK
  • Have been living in the UK for at least 3 years
  • Want to secure an entry-level data job after the Bootcamp
  • Have a passion for learning the Python programming language and are keen to use Pandas and Matplotlib
  • Already have an understanding of analysing data through more traditional methods such as Microsoft Excel
  • Understand and can already explain the different types of popular data analysis techniques

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.