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- 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 with industry-standard tools and real projects.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates secure roles within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 £ per year.
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.
Professional Data Skills Development Course (Stockport) in Manchester employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professional Data Skills Development Course (Stockport) in Manchester
✨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 to showcase your skills. Build a portfolio that highlights your work with Excel, SQL, Python, and Power BI. This will give you something tangible to show potential employers.
✨Tip Number 3
Ace those interviews! Prepare by researching common data analyst interview questions and practising your answers. Don’t forget to highlight your unique experiences from the course and how they’ve equipped you for the role.
✨Tip Number 4
Apply through our website! We’ve got dedicated job placement support ready to help you land that first role. Take advantage of our resources and connections to get your foot in the door.
We think you need these skills to ace Professional Data Skills Development Course (Stockport) in Manchester
Some tips for your application 🫡
Show Your Enthusiasm: When you're writing your application, let your passion for data shine through! We want to see that you're excited about the opportunity to learn and grow in this field. A bit of personality goes a long way!
Tailor Your CV: Make sure your CV is tailored to highlight any relevant skills or experiences, even if they're not directly related to data. 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 straightforward communication, so avoid jargon and make it easy for us to see why you’d be a great fit for the programme.
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the next available cohort. We can’t wait to hear from you!
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 them in your projects or coursework.
✨Showcase Your Portfolio
Prepare to present your professional portfolio during the interview. Highlight specific projects that demonstrate your data analysis skills and how they relate to the role. This will give you a chance to show off your practical experience, even if it’s from your training.
✨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as problem-solving scenarios or data interpretation tasks. Practising your responses can 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 the company is the right fit for you. It’s a two-way street!