Showcase your expertise

‍Your journey in data science culminates with a series of capstone projects that bring together everything you’ve learned. You’ll be tasked with solving real-world problems using advanced analytics, machine learning, and data visualization. Each project is designed to showcase your ability to integrate data science principles with practical business solutions, creating a portfolio that highlights your skills and expertise. This is your chance to demonstrate your readiness for the professional world, proving to potential employers that you have what it takes to succeed in the competitive field of data science.

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The Bletchley Institute x Flatiron School difference:

• Be mentored by a world-class data scientist
• Train on industry-standard software and gain production experience
• Small group classes (max 5 students)
• 100% online programs

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Career services built-in

Career services is included with each capstone and bootcamp program. Designed by and for tech professionals, you'll experience a full technical interview process from start to finish, getting direct and personalized feedback each step of the way. Visit the Job Search Accelerator page to learn more about the full process.

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Pre-requisites: Data Science Essentials, Data Science Foundations I, Data Science Foundations II.

Before starting your Capstone project, make sure you have:

• Proficiency in both foundational and advanced data science techniques.
• Experience with machine learning models and complex data analysis.
• Confidence in working with big data tools and developing predictive models.
• The ability to create comprehensive data visualizations.

Curriculum

Industry-approved curriculum to support your journey into data science

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Data Science Capstone - 15 weeks

In this intensive capstone you will be tasked with developing 3 different portfolio projects and you will be expected to frame your projects around solving a business problem. You will bring together all of your skills from foundations together to build 3 different methods; a regression model, a classification supervised mode, and a classified unsupervised model.

What you'll do:

• Integrate data science process using at least one method of regression
• Integrate data science process using at least one method of non-regression supervised learning
• Integrate data science process at least one method of non-regression unsupervised learning

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Tuition

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Upfront

$5,200

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Pay as You Go

$5,700

3 monthly payments of $1,900