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For Companies At a Glance
- Tasks: Complete online training to become a data analyst with hands-on projects.
- Company: Join a supportive programme with guaranteed job placement.
- Benefits: Flexible payment plans, expert tutor support, and recognised certifications.
- Why this job: Launch your career in data analytics with a 93% job success rate.
- Qualifications: No prior experience needed; just a passion for learning.
- Other info: Study part-time with just 10-15 hours per week.
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.
Introductory Data Analytics Training Program (Grimsby) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Introductory Data Analytics Training Program (Grimsby)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals. Join online forums or local meetups to connect with people in the data analytics field. You never know who might have a lead on your dream job!
✨Tip Number 2
Polish that portfolio! Make sure to showcase your projects from the course. Highlight your skills in Excel, SQL, Python, and Power BI. A strong portfolio can set you apart from other candidates and show employers what you can do.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock interviews with friends or mentors. Focus on common data analyst questions and be ready to discuss your projects and how you used your skills to solve problems.
✨Tip Number 4
Apply through our website! We’ve got loads of job placement support waiting for you. Don’t hesitate to reach out for help with your CV or interview prep. Remember, we’re here to help you land that first data analyst role!
We think you need these skills to ace Introductory Data Analytics Training Program (Grimsby)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the data analyst role. Highlight any relevant coursework or projects, even if they're from your training programme!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics. Share your journey and how our training programme has prepared you for this role. Be genuine and let your personality shine through!
Showcase Your Skills: Don’t forget to mention the tools you've learned, like Excel, SQL, Python, and Power BI. We want to see how you can apply these skills in real-world scenarios, so include any projects or portfolios you've created during your training.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our community!
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
Since you'll be building a professional portfolio during the programme, make it a point to highlight specific projects during your interview. Be prepared to explain your thought process, the challenges you faced, and how you overcame them.
✨Practice Common Questions
Familiarise yourself with common data analyst interview questions. Think about how you would answer questions related to data analysis techniques, problem-solving scenarios, and your experience with the tools you’ve learned. Practising with a friend can help you feel more confident.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. You might want to ask about the team structure, the types of projects you’d be working on, or how they measure success in the role.
