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- Tasks: Embark on a data science journey with full training and hands-on 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: No experience needed; gain skills and certifications to kickstart your career.
- Qualifications: Passion for data and willingness to learn; all training provided.
- 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 data science role.
✨Tip Number 2
Show off your projects! Create an online portfolio showcasing your practical projects from the traineeship. This is your chance to demonstrate your skills and make a lasting impression on potential employers.
✨Tip Number 3
Tailor your approach! When applying for jobs, customise your CV and cover letter to highlight relevant skills and experiences. Make sure to mention your CompTIA Data+ certification and any specific tools you've mastered.
✨Tip Number 4
Apply through our website! We’ve got loads of job opportunities lined up for you. By applying directly, you’ll be in the best position to get noticed by employers looking for fresh talent like you.
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 how it excites you.
Tailor Your Application: Make sure to customise your application to highlight your relevant skills and experiences. Even if you don’t have direct experience, think about any projects or coursework that relate to data science and mention them!
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by using simple language and breaking up text with bullet points where possible. This helps us quickly see why you’d be a great fit for the programme.
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 get back to you as soon as possible.
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 practically.
✨Showcase Your Projects
Bring along a portfolio of your practical projects. Talk about the challenges you faced and how you overcame them. Employers love to see real-world applications of your skills, so make sure you highlight what you've done and the impact it had.
✨Ask Smart Questions
Prepare some thoughtful questions about the company and the role. This not only shows your interest but also helps you determine if the company is the right fit for you. Ask about their data practices, team structure, or future projects they’re excited about.
✨Practice Makes Perfect
Do mock interviews with friends or family to get comfortable with the format. Focus on articulating your thoughts clearly and confidently. The more you practice, the more natural it will feel when you're in front of the actual interviewers.
