Data Analysis Starter Course (Newcastle upon Tyne)
Data Analysis Starter Course (Newcastle upon Tyne)

Data Analysis Starter Course (Newcastle upon Tyne)

Newcastle upon Tyne Part-Time 28000 - 38000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Complete a 10-week online training to become a data analyst.
  • Company: Join a supportive programme with job placement guarantee.
  • Benefits: Flexible payment plans and expert tutor support included.
  • Why this job: Launch your career in data analysis with high earning potential.
  • Qualifications: No prior experience needed; beginners welcome!
  • Other info: 93% of graduates land jobs within 3 months.

The predicted salary is between 28000 - 38000 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 (Newcastle upon Tyne) employer: ITonlinelearning Recruitment

Join a forward-thinking organisation that prioritises your growth and success in the data analytics field. With a supportive work culture, flexible study options, and a strong job placement guarantee, you'll have the opportunity to develop essential skills while receiving expert guidance every step of the way. Located in Newcastle upon Tyne, this programme not only equips you with industry-recognised certifications but also connects you directly with potential employers, ensuring a rewarding start to your career.
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Contact Detail:

ITonlinelearning Recruitment Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Analysis Starter Course (Newcastle upon Tyne)

✨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 today!

We think you need these skills to ace Data Analysis Starter Course (Newcastle upon Tyne)

Excel
SQL
Python
Power BI
Data Analysis
Portfolio Development
BCS Certification
CompTIA Certification
CV Writing
Interview Preparation
Employer Networking
Time Management
Adaptability
Self-Motivation

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 learning and growing in this field, so don’t hold back on expressing why you’re keen to join our programme.

Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the course. We love seeing applicants who take the time to connect their background to what we offer, so be specific about how you can benefit from the training.

Keep It Clear and Concise: While we appreciate detail, clarity is key! Make your application easy to read by keeping your sentences straightforward and to the point. This will help us quickly understand your motivations and qualifications.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to receive your details and ensures you’re considered for the next available cohort. Plus, it’s super simple to navigate!

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 training.

✨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.

Data Analysis Starter Course (Newcastle upon Tyne)
ITonlinelearning Recruitment
Location: Newcastle upon Tyne

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