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For Companies At a Glance
- Tasks: Embark on a data science journey with hands-on training and real-world projects.
- Company: Join a network of top companies seeking fresh talent in data science.
- Benefits: Job guarantee, flexible training, and a competitive starting salary.
- Why this job: Launch your career in data science with full support and no prior experience needed.
- Qualifications: No experience required; just a passion for data and learning.
- Other info: Complete the traineeship in 6-12 months and start climbing the career ladder.
The predicted salary is between 8000 - 14000 £ per month.
Overview
We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.
Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.
Program Structure
- Step 1 – Full Data Science Career Training
You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.
- Step 2 – CompTIA Data+
- Step 3 – Official Exam
The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.
- Step 4 – Practical Projects
Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. While you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.
Your Data Science Role
Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.
At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.
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Data Science Placement Programme employer: Comptia Data+
Contact Detail:
Comptia Data+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Placement Programme
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend local meetups or webinars. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your projects! When you finish your practical projects, make sure to showcase them in your portfolio. Employers love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 3
Practice your interview skills! Mock interviews can help you feel more confident and prepared. Get a friend to ask you common data science questions and give you feedback.
✨Tip Number 4
Apply through our website! We’ve got loads of companies looking for fresh talent like you. Don’t miss out on the chance to get your foot in the door with a guaranteed job placement.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application 🫡
Be Yourself: When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your enthusiasm for data science and why you’re excited about this opportunity.
Tailor Your Application: Make sure to customise your application to highlight how your skills and interests align with the Data Science Placement Programme. Mention any relevant courses or projects you've done, even if they're just personal ones!
Keep It Clear and Concise: We appreciate a straightforward approach. Keep your application clear and to the point, avoiding jargon unless it’s necessary. This helps us understand your qualifications without getting lost in the details.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly and can process your application smoothly.
How to prepare for a job interview at Comptia Data+
✨Know Your Stuff
Make sure you brush up on the key concepts of data science, especially those you've learned during your training. Be ready to discuss Python, R, machine learning, and any projects you've completed. This shows you're not just a trainee but someone who can apply their knowledge.
✨Showcase Your Projects
Bring along examples of your practical projects to the interview. Discuss the challenges you faced and how you overcame them. This will give potential employers a clear picture of your hands-on experience and problem-solving skills.
✨Ask Smart Questions
Prepare thoughtful questions about the company and the role. This could be about their data practices, team structure, or future projects. It shows you're genuinely interested and have done your homework, which can set you apart from other candidates.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors. This will help you get comfortable with common interview questions and refine your answers. The more you practice, the more confident you'll feel when it’s time for the real deal.
