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- 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 payment plans, certifications, and dedicated job placement support.
- Why this job: Launch your career in data with high starting salaries and real-world projects.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates land jobs within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 £ per year.
Job Description
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 Analyst Crash Course (Kensington and Chlsea) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Crash Course (Kensington and Chlsea)
✨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 makes perfect! Use the skills you’ve learned in our course to work on real-world projects. Showcase these in your portfolio to impress hiring managers when you apply.
✨Tip Number 3
Ace those interviews! We offer interview preparation support, so take advantage of it. Mock interviews can help you feel more confident and ready to tackle any questions thrown your way.
✨Tip Number 4
Apply through our website! We have direct connections with employers looking for candidates just like you. Don’t miss out on opportunities that could land you your dream job!
We think you need these skills to ace Data Analyst Crash Course (Kensington and Chlsea)
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 highlights any relevant skills or experiences, even if they're not directly related to data analysis. We want to see your potential, so don’t be shy about showcasing transferable skills!
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 through our website! It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the programme there!
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 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, statistical methods, and your experience with data visualisation. Practising your responses will help you feel more confident and articulate during the 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 assess if the company is the right fit for you.
