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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 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 22400 - 32000 £ 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.
Data Analysis Starter Course (York) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Starter Course (York)
✨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! We recommend doing mock interviews with friends or using our resources. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 3
Show off your portfolio! Make sure to highlight the projects you've completed during the course. We suggest creating an online portfolio that showcases your skills and makes you stand out.
✨Tip Number 4
Apply through our website! We’ve got direct connections with employers who are eager to hire graduates from our programme. Don’t miss out on those opportunities!
We think you need these skills to ace Data Analysis Starter Course (York)
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 programme.
Tailor Your Application: Make sure to customise your application to highlight how your background aligns with the skills we teach. Even if you’re a complete beginner, share any relevant experiences or interests that show your potential as a data analyst!
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use simple language and avoid jargon unless it’s necessary. This helps us understand your message without getting lost in complicated terms.
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the next available cohort. Plus, you’ll get all the latest updates straight from us!
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
Prepare to talk about the projects you've completed during your course. Highlight specific examples that demonstrate your analytical skills and problem-solving abilities. A strong portfolio can really set you apart from other candidates.
✨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as those related to data interpretation and analysis. 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 questions! This shows your interest in the role and the company. Inquire about the team dynamics, the types of projects you might work on, or how success is measured in the role.
