From beginner to pro

Embark on an immersive journey that takes you from data science novice to expert in just ten months. This comprehensive bootcamp covers everything from the foundational principles of data analysis to the advanced tools and techniques used by top data scientists. You’ll learn Python, SQL, and data visualization before diving into more complex areas like machine learning, big data processing, and AI. With a strong emphasis on hands-on learning, you’ll apply your skills to real-world problems, culminating in a capstone project that demonstrates your readiness for the professional world. By the end of this bootcamp, you’ll have a portfolio that showcases your expertise and positions you for success in one of the most dynamic and rapidly evolving industries.

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The Bletchley Institute x Flatiron School difference:

• Be mentored by a world-class data scientist
• 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: No prior experience necessary. This bootcamp takes you from novice to pro.

Curriculum

Industry-approved curriculum to support your journey into data science

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Introduction to Python - 3 weeks

• Apply the basics of programming language methodologies to real world scenarios
• Demonstrate foundational skills for scripting with a programming language, python

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Introduction to Data Science - 3 weeks

• Implement foundational statistical measurement with data using scripting
• Demonstrate gathering insights from data with visualizations
• Integrate object oriented programming (OOP) with Python for data cleaning and analysis

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Introduction to SQL - 3 weeks

• Utilize industry standard techniques to analyze data with, programming language (python), structured query language (SQL), and the cloud. 
• Explore and manipulate data with mathematics, probability, and statistics
• Analyze data for a business problem with visualizations with a dashboard

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Cloud Computing, Generative AI, & Dashboards - 3 weeks

• Create a dashboard using data science methodologies with industry standard tool(s)
• Model exploratory data analysis with tools for multiple data sets. (SQL and SQL table relations)
• Utilize programming techniques to process large data samples with (PySpark and Big Data)

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Inferential Statistics - 3 weeks

• Integrate statistical inference of data using the technical programming
• Implement methodologies for statistical inference
• Utilize mathematics, statistics, & probability for data science methodologies to derive insights

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Regression - 3 weeks 

• Perform logistic regression with data sets using programming techniques, lasso and ridge. 
• Compare statistical results for different types of regression with data sets, linear, transformations of linear, and multiple linear regressions
• Utilize mathematics, statistics, & probability for data science methodologies to derive insights

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Introduction to Machine Learning - 3 weeks 

• Utilize foundational machine learning modeling like decision trees and supervised learning
• Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
• Utilize mathematics, statistics, & probability for data science methodologies to derive insights

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Machine Learning with Scikit-Learn - 3 weeks 

• Utilize foundational machine learning modeling like decision trees and supervised learning
• Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
• Integrate mathematics, statistics, & probability for data science methodologies to derive insights

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Natural Language Processing, Time Series & Neural Networks - 3 weeks

• Develop insights from language, time, and image data using neural networks and Natural Language Processing (NLP)
• Integrate mathematics, statistics, & probability for data science methodologies to derive insights

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Neural Networks and Similar Models - 3 weeks

• Create an advanced neural network application
• Integrate mathematics, statistics, & probability for data science methodologies to derive insights

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Data Science Capstone - 15 weeks

• 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

$15,000

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Pay as You Go

$16,000

12 monthly payments of $1,334

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Financed Tuition

$16,500