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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme with a job guarantee and expert support.
- Benefits: Flexible payment plans, certifications, and dedicated job placement assistance.
- Why this job: Launch your career in data analysis with industry-standard tools and real projects.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates land jobs within 3 months; limited spaces available.
The predicted salary is between 28000 - 38000 £ per year.
Data Analyst Course Programme Job Guarantee Included
Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month.
The Programme
Complete this 10-week online training with just 10-15 hours per week of study time. You'll 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.
Foundational Data Analysis Programme (Kingston upon Hull) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundational Data Analysis Programme (Kingston upon Hull)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals on LinkedIn. Building connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Practice makes perfect! Use your newly acquired skills in Excel, SQL, Python, and Power BI to work on real-world projects. This not only boosts your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Don’t underestimate the power of mock interviews! We offer dedicated job placement support, so take advantage of it. Practising with someone who knows what employers are looking for can really help you nail that interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way until you land that data analyst role.
We think you need these skills to ace Foundational Data Analysis Programme (Kingston upon Hull)
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 the opportunity and ready to dive into the world of data.
Tailor Your Application: Make sure to customise your application to highlight how your skills and interests align with the programme. We love seeing candidates who take the time to connect their experiences to what we offer!
Be Clear and Concise: Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand why you’re a great fit for the programme.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details and can get back to you quickly about the next steps.
How to prepare for a job interview at ITonlinelearning Recruitment
✨Know Your Tools
Make sure you’re familiar with the industry-standard tools mentioned in the programme, like Excel, SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used them in your projects or coursework.
✨Showcase Your Portfolio
Prepare to present your professional portfolio during the interview. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. This is your chance to show what you can bring to the table!
✨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as those about data interpretation and analysis techniques. Practising your responses will help you feel more confident and articulate during the actual interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company and the role. This shows your genuine interest and helps you determine if it’s the right fit for you. Plus, it leaves a positive impression!
