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- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job placement assistance.
- Benefits: Flexible payment plans, expert tutor support, and recognised certifications.
- Why this job: Launch your career in data analysis with guaranteed job support.
- 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.
Data Analyst Course Programme Job Guarantee Included
Before applying for this role, please read the following information about this opportunity found below.
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. xwzovoh Apply now for the next available cohort.
Data Analysis Starter Course (Brent) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Starter Course (Brent)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals. Join online forums or local meetups to connect with people in the data field. You never know who might have a lead on your dream job!
✨Tip Number 2
Polish your portfolio! Make sure to showcase your projects from the course. Highlight your skills in Excel, SQL, Python, and Power BI. A strong portfolio can set you apart from other candidates when applying for jobs.
✨Tip Number 3
Practice your interview skills! Use our dedicated job placement support to prepare for interviews. Mock interviews can help you feel more confident and ready to impress potential employers.
✨Tip Number 4
Apply through our website! We’ve got direct employer introductions that can give you an edge. Don’t miss out on opportunities – the sooner you apply, the sooner you could land that data analyst role!
We think you need these skills to ace Data Analysis Starter Course (Brent)
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. A bit of personality can go a long way!
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the course. We love seeing how you connect your background to what we offer, so don’t hold back on those relevant details!
Keep It Clear and Concise: We appreciate a straightforward approach! Keep your application clear and to the point. Avoid jargon and make it easy for us to see why you’re a great fit for the programme.
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 get all the latest updates about the programme. 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 these tools in your training or projects.
✨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.
✨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 the company is the right fit for you.