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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a leading programme with guaranteed job placement support.
- Benefits: Flexible payment plans, expert tutor support, and recognised certifications.
- Why this job: Launch your career in data analysis with high starting salaries and strong job placement rates.
- Qualifications: No prior experience needed; perfect for beginners and career changers.
- Other info: Limited spaces available; apply now to secure your spot!
The predicted salary is between 28000 - 38000 £ 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 (Gloucester) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Starter Course (Gloucester)
✨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
Tailor your portfolio! Showcase projects that highlight your skills in Excel, SQL, Python, and Power BI. We can guide you on how to present your work effectively to impress employers.
✨Tip Number 4
Apply through our website! We’ve got direct connections with employers looking for candidates just like you. Don’t miss out on those opportunities – get your application in!
We think you need these skills to ace Data Analysis Starter Course (Gloucester)
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 the opportunity to learn and grow with us.
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!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your motivations and goals.
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 get you started on your journey to becoming a data analyst.
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 insightful questions about the company’s data practices or team dynamics. This shows your genuine interest in the role and helps you determine if it’s the right fit for you.
