At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job guarantee and expert tutor guidance.
- Benefits: Flexible study hours, job placement support, and recognised certifications.
- Why this job: Launch your career in data analysis with high starting salaries and great job prospects.
- Qualifications: No prior experience needed; beginners and career changers welcome.
- Other info: Limited spaces available, so apply now to secure your spot!
The predicted salary is between 28000 - 38000 £ per year.
Job Description
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 Program (Camden) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundational Data Analysis Program (Camden)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals. Use platforms like LinkedIn to connect and engage with people in the data field. You never know who might have a lead on your dream job!
✨Tip Number 2
Practice makes perfect! Work on real-world projects and showcase them in your portfolio. This not only boosts your skills but also gives you something tangible to discuss during interviews. Remember, employers love seeing practical experience!
✨Tip Number 3
Ace that interview! Prepare by researching common data analyst interview questions and practising your answers. Mock interviews with friends or mentors can help you feel more confident and ready to impress potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of resources and job placement support to help you land that role. Don’t hesitate to reach out for CV help or interview prep – we’re here to support you every step of the way!
We think you need these skills to ace Foundational Data Analysis Program (Camden)
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for data analysis! Share why you're excited about this field and how our programme can help you kickstart your career. A personal touch goes a long way!
Tailor Your CV: Make sure your CV reflects the skills we're looking for. Highlight any relevant experience, even if it's from other fields, and don't forget to mention your eagerness to learn industry-standard tools like Excel and SQL.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're a great fit for the programme and how you plan to leverage the skills you'll gain. Keep it concise but impactful!
Apply Through Our Website: We want to make the application process as smooth as possible for you. So, head over to our website to apply directly. It’s quick, easy, and ensures we get all your details right!
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 training or projects.
✨Showcase Your Portfolio
Since you'll be building a professional portfolio during the programme, make it a point to highlight specific projects during your interview. Talk about the challenges you faced, how you overcame them, and what you learned from each experience.
✨Practice Common Questions
Prepare for common data analyst interview questions, such as those related to data interpretation, problem-solving, and analytical thinking. 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’s data practices or team dynamics. This shows your genuine interest in the role and helps you determine if the company is the right fit for you.