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For Companies At a Glance
- Tasks: Dive into data analysis and learn essential tools like Excel, SQL, and Python.
- Company: Join a leading programme that guarantees job placement in the booming data field.
- Benefits: Earn up to £35,000 with comprehensive training and real-world project experience.
- Why this job: Kickstart your career in a high-demand industry with no prior experience needed.
- Qualifications: Passion for data and strong communication skills are all you need to succeed.
- Other info: Enjoy 100+ hours of live training and a money-back guarantee on course fees.
The predicted salary is between 28800 - 42000 £ per year.
Job Description
Are you ready to start a new career in Data Analysis?
The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.
In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.
With our Data Analytics career programme we will provide you with:
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8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
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3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
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100+ hours of live instructor-led online classroom training
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Real-world Data Analyst project work & live labs to boost your CV
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Exam & interview preparation
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Job Guarantee with a salary up to £35,000
Course cost – £2495, or, £207.91 per month
We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.
No prior industry experience is required – No matter your background, previous studies or work history – if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.
Click 'Apply Now’ to begin your new data career!
Junior Data Scientist employer: Newto Training
Contact Detail:
Newto Training Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the data field on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections; you never know who might help you land that dream job!
✨Tip Number 2
Practice your interview skills! Mock interviews with friends or mentors can really boost your confidence. We recommend focusing on common data-related questions and showcasing your passion for analytics.
✨Tip Number 3
Show off your projects! If you've done any real-world data analysis work, make sure to highlight it in your conversations. We love seeing candidates who can demonstrate their skills through practical examples.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way in your journey to becoming a Junior Data Scientist.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Junior Data Scientist role. Highlight any relevant coursework or projects, especially those involving data analysis tools like Excel, SQL, or Python.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data analysis and how our training programme can help you achieve your career goals. Be genuine and let your personality come through.
Showcase Your Soft Skills: While technical skills are important, don’t forget to highlight your soft skills too! Communication and teamwork are key in this field, so share examples of how you've demonstrated these in past experiences.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s quick and easy, and you’ll be one step closer to launching your data career with us!
How to prepare for a job interview at Newto Training
✨Know Your Data Tools
Familiarise yourself with the key tools mentioned in the job description, like Excel, SQL, and Python. Be ready to discuss how you've used these tools in your training or projects, as this shows you’re not just a theoretical learner but someone who can apply their knowledge practically.
✨Showcase Your Projects
Prepare to talk about any real-world data projects you've worked on during your training. Highlight specific challenges you faced and how you overcame them. This demonstrates your problem-solving skills and gives the interviewer insight into your hands-on experience.
✨Brush Up on Soft Skills
Since communication is key in data analysis, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated findings to non-technical audiences, as this will show your ability to bridge the gap between data and decision-making.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy or the tools they use. This not only shows your genuine interest in the role but also helps you assess if the company is the right fit for you. Remember, interviews are a two-way street!
