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 payment plans, certifications, and dedicated job placement support.
- Why this job: Launch your career in data with high demand skills and great starting salaries.
- Qualifications: No 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.
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.
- Learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects.
- Earn BCS and CompTIA certifications recognised by UK employers.
- Receive expert tutor support throughout your studies.
- Get 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) in London employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Analyst Crash Course (Kensington and Chlsea) in London
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. Build a portfolio that showcases your abilities, and donβt forget to share it with us for feedback!
β¨Tip Number 3
Ace those interviews! Weβve got your back with interview prep sessions. Make sure to practice common questions and showcase your knowledge of tools like SQL and Python during your chats with employers.
β¨Tip Number 4
Apply through our website! Itβs the easiest way to get noticed by employers who value our graduates. Plus, weβll provide you with direct introductions to companies looking for data analysts.
We think you need these skills to ace Data Analyst Crash Course (Kensington and Chlsea) in London
Some tips for your application π«‘
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 achieve your goals. A little passion goes a long way!
Tailor Your CV: Make sure your CV is tailored to highlight any relevant skills or experiences, even if they're not directly related to data analysis. We want to see how your background can bring a unique perspective to the role!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon. We appreciate a well-structured application that makes it easy for us to see your potential!
Apply Through Our Website: Donβt forget to apply through our website! Itβs the easiest way for us to receive your application and ensures youβre considered for the next available cohort. We canβt wait to hear from you!
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 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.
β¨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.
β¨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as those about data interpretation, problem-solving scenarios, and your experience with data tools. Practising your responses can help you feel more confident and articulate during the interview.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask insightful questions about the companyβs 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.