At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme with guaranteed job placement assistance.
- Benefits: Flexible financing, expert support, and recognised certifications.
- Why this job: Launch your career in data analysis with real-world projects.
- Qualifications: No experience needed; beginners and career changers welcome.
- Other info: 93% of graduates secure jobs within 3 months.
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 - Guaranteed Job Placement Assistance (Kingston upon Hull) 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 - Guaranteed Job Placement Assistance (Kingston upon Hull)
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 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.
β¨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.
β¨Tip Number 4
Apply through our website! Weβve got direct connections with employers looking for candidates just like you. Donβt miss out on those opportunities; get your application in!
We think you need these skills to ace Data Analysis Starter Course - Guaranteed Job Placement Assistance (Kingston upon Hull)
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 kickstart your career.
Tailor Your CV: Make sure your CV reflects the skills and experiences relevant to data analysis. Highlight any projects or coursework that demonstrate your analytical abilities, even if they're from other fields!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points stand out. This helps us understand your potential quickly!
Apply Through Our Website: Donβt forget to apply through our website! Itβs 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
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 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 will help you feel more confident and articulate.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask thoughtful questions about the companyβs data practices or team dynamics. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.