At a Glance
- Tasks: Embark on a data science journey with hands-on projects and industry-recognised training.
- Company: Join a network of companies eager to hire skilled Data Science graduates.
- Benefits: Job guarantee within 20 miles, flexible learning pace, and full training provided.
- Why this job: Launch your career in data science with no prior experience needed!
- Qualifications: No experience required; just a passion for data and learning.
- Other info: 100% refund if not placed in a role after training.
The predicted salary is between 20000 - 30000 £ per year.
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 will be utilising all of the skills 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.
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 after your traineeship.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science! Share why you're excited about the field and how you see yourself growing in it. A genuine passion can really make your application stand out.
Tailor Your Application: Make sure to customise your application to fit the Data Science Placement Programme. Highlight any relevant skills or experiences, even if they’re not directly related to data science. We want to see how your unique background can contribute to our team!
Keep It Clear and Concise: We appreciate a well-structured application. Keep your writing clear and to the point. Avoid jargon unless it’s necessary, and make sure to proofread for any typos or grammatical errors. A polished application shows attention to detail!
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 role. Plus, you’ll find all the info you need about the programme right there!
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 Python, R, and machine learning. Familiarise yourself with the projects you've completed during your traineeship, as these will be great talking points in your interview.
✨Showcase Your Projects
Prepare to discuss the practical projects you've worked on. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and hands-on experience.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data practices, team structure, or future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨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 on the day!