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Data Science Immersive Remote Flex

  • Non-Award

Change your career on your terms. This data science bootcamp is fully remote and offered on a part-time schedule, so you can keep your daytime commitments while training at night and on the weekends.

Key details

Degree Type
Non-Award
Duration
24 weeks part-time
Study Mode
In person, Online

About this course

It's ranked among the top fields in LinkedIn's Emerging Jobs Report for three years running and, according to the latest numbers, data scientist roles are experiencing 37% annual growth. Across industries from information technology and software to financial services and higher education, organizations are moving quickly to build robust in-house teams of data scientists and advanced analysts, and there's not enough talent to go around.

For those with quantitative backgrounds or existing analytical skills, building out this specialized skill set can spell ample opportunity to secure a high-paying job in data science, advanced analytics, business intelligence, and more.

Study locations

Online

What you will learn

Made With - and for - Employers

Data science has ranked near the top of LinkedIn's Emerging Jobs Report for three years running. Developed with guidance from our Data Science Standards Board - a group of data executives from companies like Bloomberg and Nielsen - our curriculum is primed for industry relevance so graduates can capitalize on this demand.

Gain a Well-Rounded Technical Foundation

Get hands-on training with the skills with the skills you need to derive value from complex data. Dive into Python programming, exploratory data analysis, and statistical modeling. Then, branch into machine learning with algorithms of increasing complexity, from decision trees and random forests to natural language processing and neural networks.

Put Predictive Modeling Techniques Into Practice

Through this Immersive, you'll tackle five projects, compiling a professional-grade portfolio of compelling stakeholder presentations and data visualizations. For your capstone project, you'll gain experience putting machine-learning models into production to address a real-world data challenge.