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Data Science Skills Bootcampunderline

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Welcome to our Skills Bootcamp: Your Path to a Fully Funded Data Science Career!

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Comprehensive Curriculum

Our bootcamp offers a comprehensive curriculum that covers the key areas of data science, including statistical analysis, machine learning, data visualization, and more. We believe in providing a well-rounded education that prepares you to tackle real-world data challenges.

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Expert Instructors

Learn from industry experts who are passionate about data science and have hands-on experience in the field. Our instructors will guide you through the intricacies of data analysis, coding, and machine learning algorithms, ensuring you gain a deep understanding of the concepts and their practical applications.

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Hands-on Projects

We believe in learning by doing. Throughout the bootcamp, you'll work on hands-on projects that simulate real-world scenarios. These projects will help you apply your knowledge, develop critical problem-solving skills, and build an impressive portfolio that showcases your abilities to potential employers.

Start Dates

January, April and September

Length

12 or 16 weeks

Times

Monday to Friday, 9.30am - 4:30pm

Cost

Fully Funded

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Entry Requirements

Live in England
Over the age of 19
Have the right to work in the UK
Are a UK Citizen, on a spouse visa or Indefinite Leave to Remain
Have an A Level or equivalent in Mathematics

Nice to Have

Problem solving mindset
Interest in Data and how to extract insights from data

Our Data Science, Software Development and Games Development fully funded skills bootcamp are designed to equip you with the essential skills needed to thrive in today's digital landscape. Whether you're a beginner with no coding experience or an experienced professional looking to upskill, our program is tailored to meet your needs.

Weeks 1 - 4

Phase 1 consists of an introduction to the essential business and technical skills you will need for the later phases. You will learn about interpreting requirements, managing stakeholders, Python and SQL

Weeks 5 - 8

Phase 2 consists of more advanced techniques. You will learn how to apply machine learning models.

Weeks 9 - 12

Phase three will give an opportunity to practice the skills you have learnt with an extended project. You will also learn some additional techniques for handling large data sets using AWS and Docker

Why Choose Our Fully Funded Data Science Skills Bootcamp?

Are you fascinated by the power of data and its potential to drive innovation? Our fully funded data science skills bootcamp is your gateway to a rewarding career in this rapidly growing field. Whether you're a beginner or an experienced professional looking to upskill, our program is designed to equip you with the essential skills needed to succeed in the world of data science.

Our bootcamp offers a comprehensive curriculum that covers the key areas of data science, including statistical analysis, machine learning, data visualization, and more. We believe in providing a well-rounded education that prepares you to tackle real-world data challenges.

Learn from industry experts who are passionate about data science and have hands-on experience in the field. Our instructors will guide you through the intricacies of data analysis, coding, and machine learning algorithms, ensuring you gain a deep understanding of the concepts and their practical applications.

We believe in learning by doing. Throughout the bootcamp, you'll work on hands-on projects that simulate real-world scenarios. These projects will help you apply your knowledge, develop critical problem-solving skills, and build an impressive portfolio that showcases your abilities to potential employers.

Join a community of aspiring data scientists and collaborate with peers who share your passion for analytics. Our bootcamp fosters a collaborative learning environment where you can engage in discussions, share insights, and work together on team projects. This collaborative experience prepares you for the collaborative nature of data science work.

The best part is, our bootcamp is fully funded! We believe that access to quality education should never be limited by financial barriers. Our program is made possible through partnerships with leading organizations and grants, allowing you to focus on learning without worrying about tuition fees.

Our commitment to your success extends beyond the bootcamp. We provide job placement assistance, including resume building, interview preparation, and connections to our extensive network of hiring partners in the data science industry. We're dedicated to helping you launch a successful career in this exciting field.

Online Learning Done Right

Our live, instructor led online course has been designed with students in mind. Course instructors and your peers are just a Slack message away whenever you need extra help, so your learning doesn't stop.

Instructors

An experienced industry expert will lead the curriculum and live online lessons via our learning environment.

Coordinators

Our Coordinators ensure your experience is a positive one. Got questions? Need finance advice? They'll guide you.

Career Coaches

You’ll have access to expert career coaches, whom you'll work with until you start your first job.

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Companies who hire our students and provide input on our curriculums

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Meet the Team

Neil Bizzell

Neil Bizzell
Director of Education

Neil has extensive experience in industry and as a computer science teacher. he is responsble for developing our strategy, leading curriculum design, hiring awesome instructors and leading the instructor team. He also delivers training on several of our courses.

Quote:'The pessimist complains about the wind. The optimist expects it to change. The leader adjusts the sails.' –John C. Maxwell

Abayomi Bello

Abayomi Bello
Instructor

Abayomi transitioned from being an Accountant to a Data Scientist as a result of his zeal for providing insight from Data, and since then decided to help more people get into the field of Data science via teaching in a simplified way.

Quote:Don't stop when you are tired, stop when you are done

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