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- Tasks: Complete a 10-week online course in data analysis with hands-on projects.
- Company: Join a leading training provider focused on career success.
- Benefits: Earn recognised certifications and receive job placement support.
- Why this job: Launch your career in data analysis with expert guidance and real-world skills.
- Qualifications: No prior experience needed; beginners and career changers welcome.
- Other info: 93% of graduates secure jobs within 3 months; limited spaces available.
The predicted salary is between 28000 - 38000 £ per year.
Location: Stoke-on-Trent, Abbey Hulton, Staffordshire, UK, ST2 8
The Programme: Complete this 10-week online training with just 10-15 hours per week of study time. You will learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.
The Outcome: 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000
Who This Is For: The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. This programme is available to UK-based learners only.
Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
Data Analysis Starter Course (Stoke-on-Trent) in London employer: The Abbey
Contact Detail:
The Abbey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Starter Course (Stoke-on-Trent) in London
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals on LinkedIn. We can help you connect with potential employers who are looking for fresh talent.
✨Tip Number 2
Practice your interview skills! Use mock interviews with friends or family to get comfortable. We recommend focusing on common data analysis questions and showcasing your projects from the course.
✨Tip Number 3
Tailor your CV for each application. Highlight the skills and tools you've learned in our course, like Excel and SQL. We can help you refine your CV to make it stand out to employers.
✨Tip Number 4
Apply through our website! We have direct connections with employers looking for candidates just like you. Don’t miss out on those opportunities – get your applications in!
We think you need these skills to ace Data Analysis Starter Course (Stoke-on-Trent) in London
Some tips for your application 🫡
Show Your Enthusiasm: When you're writing your application, let your passion for data analysis shine through! We want to see that you're excited about learning and growing in this field, so don’t hold back on expressing why you’re keen to join our Data Analysis Starter Course.
Tailor Your Application: Make sure to customise your application to highlight how your background aligns with the course. Even if you’re a complete beginner, share any relevant experiences or skills that could be useful in data analysis. We love seeing how unique you are!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your thoughts flow logically. This will help us understand your motivations and goals without getting lost in the details.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to receive your details and get you started on your journey towards a career in data analysis. Plus, it ensures you’re considered for the next available cohort!
How to prepare for a job interview at The Abbey
✨Know Your Tools
Make sure you’re familiar with the industry-standard tools mentioned in the job description, like Excel, SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in your projects or coursework.
✨Showcase Your Portfolio
Since you'll be building a professional portfolio during the course, ensure you have it ready to share during the interview. Highlight specific projects that demonstrate your analytical skills and how you approached problem-solving.
✨Prepare for Common Questions
Anticipate questions related to data analysis, such as how you would approach a specific data problem or what insights you gained from a project. Practising your responses can help you feel more confident and articulate during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data practices or the team you’d be working with. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
