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 real-world projects and industry-standard tools.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates secure jobs within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 Β£ 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.
Data Analysis Starter Course (Norwich) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Analysis Starter Course (Norwich)
β¨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.
β¨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.
β¨Tip Number 3
Donβt underestimate the power of mock interviews! Take advantage of our dedicated job placement support and practice your interview skills. The more comfortable you are, the better you'll perform when it counts.
β¨Tip Number 4
Apply through our website! Weβve got direct employer introductions that can fast-track your job search. Plus, it shows you're serious about landing that data analyst role!
We think you need these skills to ace Data Analysis Starter Course (Norwich)
Some tips for your application π«‘
Show Your Enthusiasm: When 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. A bit of personality can go a long way!
Tailor Your CV: Make sure your CV is tailored to the data analyst role. Highlight any relevant skills or experiences, even if theyβre from different fields. We love seeing how your unique background can bring something special to the table!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforwardness, so avoid jargon and fluff. Just tell us why youβre a great fit for the programme in a few well-chosen words!
Apply Through Our Website: Donβt forget to apply through our website! Itβs the easiest way for us to receive your application and get you started on your journey to becoming a data analyst. Plus, it ensures you donβt miss out on any important updates!
How to prepare for a job interview at ITonlinelearning Recruitment
β¨Know Your Tools
Make sure youβre familiar with the industry-standard tools mentioned in the course, like Excel, SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used them in projects or hypothetical scenarios.
β¨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 potential employers a clear picture of what you can bring to their team.
β¨Practice Common Questions
Familiarise yourself with common data analyst interview questions. Think about how you would answer questions related to data interpretation, analysis techniques, and your experience with the tools youβve learned. Practising your responses can help you feel more confident.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask questions! Inquire about the companyβs data practices, team structure, or upcoming projects. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.