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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job placement assistance.
- Benefits: Flexible payment plans, expert tutor support, and recognised certifications.
- Why this job: Launch your career in data analysis with guaranteed job placement.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates land jobs within 3 months; remote work options 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.
Online Data Analyst Bootcamp (Peterborough) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Online Data Analyst Bootcamp (Peterborough)
✨Tip Number 1
Network like a pro! Reach out to fellow students, alumni, and industry professionals on LinkedIn. We can help you connect with the right people who might just have the inside scoop on job openings.
✨Tip Number 2
Practice your interview skills! We recommend doing mock interviews with friends or using online platforms. The more comfortable you are talking about your skills and experiences, the better you'll perform when it counts.
✨Tip Number 3
Tailor your portfolio! Showcase projects that highlight your skills in Excel, SQL, Python, and Power BI. We suggest including a variety of work to demonstrate your versatility and problem-solving abilities.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your new skills. Plus, our dedicated job placement support is here to guide you every step of the way until you land that dream job.
We think you need these skills to ace Online Data Analyst Bootcamp (Peterborough)
Some tips for your application 🫡
Read the Job Description Carefully: Before you hit that 'Apply' button, take a moment to really digest the job description. It’s packed with info about what we’re looking for and how you can shine in your application!
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. We want to see how you fit into our programme, so don’t be shy about showcasing your strengths!
Show Your Passion for Data: In your application, let us know why you’re excited about becoming a data analyst. Share any personal projects or interests related to data – it’ll help us see your enthusiasm and commitment!
Apply Through Our Website: We recommend applying directly through our website for a smoother process. It’s quick and easy, plus you’ll get all the latest updates about your application status!
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 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 studies.
✨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 will give the interviewer a clear picture of 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 insightful questions about the company’s data practices or team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
