At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job placement guarantee.
- Benefits: Flexible payment plans, expert support, and recognised certifications.
- Why this job: Launch your career in data analysis with real-world projects and employer introductions.
- Qualifications: No prior experience needed; beginners and career changers welcome.
- Other info: 93% of graduates secure roles within 3 months; starting salaries from £28,000.
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 includes:
- 10-week online training with just 10-15 hours per week of study time.
- Learning industry-standard tools, including Excel, SQL, Python, and Power BI.
- Building a professional portfolio with workplace projects.
- Earning BCS and CompTIA certifications recognised by UK employers.
- Expert tutor support throughout your studies.
- 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 range from 28,000 to 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 - Job placement guarantee with employer introductions (Hammersmith and Fulham) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Starter Course - Job placement guarantee with employer introductions (Hammersmith and Fulham)
✨Tip Number 1
Network like a pro! Reach out to your course peers, tutors, and even alumni. They can provide valuable insights and might know of job openings that aren't advertised.
✨Tip Number 2
Practice makes perfect! Use the skills you've learned in the course to work on real-world projects. This not only boosts your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Don’t shy away from applying for jobs! Even if you don’t meet every single requirement, go for it. Employers often value enthusiasm and a willingness to learn just as much as experience.
✨Tip Number 4
Utilise our job placement support! We’re here to help you with CV tips and interview prep. Make sure to take advantage of direct employer introductions to get your foot in the door.
We think you need these skills to ace Data Analysis Starter Course - Job placement guarantee with employer introductions (Hammersmith and Fulham)
Some tips for your application 🫡
Show Your Passion: When writing your application, let us see your enthusiasm for data analysis! Share why you're excited about this field and how our course can help you kickstart your career.
Tailor Your CV: Make sure your CV reflects the skills and experiences relevant to data analysis. Highlight any coursework or projects that demonstrate your analytical abilities, even if they're from other fields!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points stand out. This helps us understand your potential quickly!
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 course, 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 analytical skills and problem-solving abilities. Be ready to explain your thought process and the impact of your work.
✨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 thoughtful questions about the company’s data practices or team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.