At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job guarantee and expert tutor guidance.
- Benefits: Flexible study hours, competitive starting salaries, and job placement support.
- Why this job: Launch your career in data analysis with industry-standard tools and certifications.
- Qualifications: No prior 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 Β£ 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 (Brent) 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 (Brent)
β¨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.
β¨Tip Number 2
Practice makes perfect! Use the skills you learn in our course 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
Ace your interviews! We offer interview preparation support, so take advantage of it. Mock interviews can help you feel more confident and ready to impress potential employers.
β¨Tip Number 4
Apply through our website! We have direct connections with employers looking for candidates just like you. Donβt miss out on opportunities that could land you your dream job!
We think you need these skills to ace Data Analysis Starter Course (Brent)
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 goes a long way!
Tailor Your Application: Make sure to customise your application to highlight how your background aligns with the course. Even if you have no experience, focus on transferable skills or relevant interests that show you're ready to dive into data analysis.
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon and make sure your key points stand out. This helps us understand your motivation and fit for the programme quickly.
Apply Through Our Website: Donβt forget to apply directly through our website! Itβs the easiest way for us to receive your application and ensures youβre considered for the next available cohort. Plus, itβs super user-friendly!
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
Since you'll be building a professional portfolio during the course, ensure you can talk confidently about the projects you've completed. Highlight specific challenges you faced and how you overcame them, as this shows your problem-solving abilities.
β¨Practice Common Questions
Prepare for common data analyst interview questions, such as those related to data interpretation and analysis. Practising your responses will help you articulate your thoughts clearly and demonstrate your understanding of key concepts.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask questions! This shows your interest in the role and the company. Consider asking about the team dynamics, the types of projects you might work on, or how success is measured in the role.