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Galvanize Rating

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Length

12 Weeks

Cost

$16,000

We also offer scholarships and financing options.

Study the Skills

Build your data science skill set by working with real-world data sets and learning from industry experts. Leverage relevant tools and techniques to solve real business problems.

Meet Top-Tier Students

Solve problems alongside a diverse group of high-achieving students with backgrounds in science, data analysis, engineering, and more. Build meaningful friendships with your classmates, and join a community of lifelong learners.

Be Prepared for the Dream Job

Our career team helps to identify your strengths, refine your goals, and connect you with many of Galvanize’s 140+ hiring partners to turn your career aspirations into a reality.

Not sure if this is the right course for you?

Galvanize's Admissions Advisors are here to help answer your questions and provide more info!

Get Advice

Where Our Graduates Work

Number of Graduates

172

Placement Rate

92%

Average Starting Salary

$111k*

*Placement rate and average starting salary based on 2014-2015 Placement Data

Learn more about our placement criteria with the Galvanize Standard.

"I have only been at Payoff for 4 months, but I’ve already been given a 10k/year raise. They wanted to let me know how much they value what I am doing for the company, and that's mostly me executing on the knowledge I gained at my time at Galvanize."

Bryan Smith, Senior Data Scientist at Payoff

What You Will Learn

Module 1

Data Science Fundamentals: Python and Statistics

Students jump right into a Python-based curriculum where we explore and learn best practices in statistical analysis, including frequentist and Bayesian methods. By practicing software engineering best practices, and pairing programming with fellow students from different backgrounds, students master fundamental data science concepts.


Module 2

Machine Learning & Real-World Case Studies

In the second module we start diving into machine learning, working on real problems in classification, regression, and clustering utilizing structured and unstructured data sets. We’ll discover libraries like scikit-learn, NumPy, and SciPy, and use real world case studies to root our understanding of these libraries to real world applications.


Module 3

Natural Language Processing & Data Visualization

In our third quarter we add natural language processing and recommender systems to our body of data science knowledge. We learn open-source big data processing, and cap the quarter off with honing the art of data visualization and insight. By the end of this quarter, students should be well versed in conceptual knowledge and are ready to embark on independent projects.


Module 4

Capstone Project & Job-Market Readiness

To complete our immersive program, students work independently on an applied data science project that is unique to his or her interests or career aspirations in a Capstone Project. These rojects reflect the technical skill set students have learned throughout the course, and demonstrate their competence and fitness as a real data scientist.


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The Galvanize Advantage

This is your career transformation, but we are here to help. From admissions to interview preparations, our team will be there supporting you through every step in your journey.

Admissions

Joy Meyouhas
New York, NY

Our Admissions Advisors help guide students through the application process and are always available to answer any questions from prospective students.

Student Success

Kelly Kawa
Student Success Manager | New York, NY

Our Student Success team ensures your experience as a Galvanize student is everything you imagined it could be.

Career Services

James Conti
Career Services Manager | New York, NY

Our Career Services team prepares students to leverage their new technical skills into a career as a full-stack developer.

Student Life

Galvanize campuses are designed from the ground up to be conducive to learning to code. From the classrooms and the lab space to the carefully vetted companies renting workspaces, Galvanize is the learning community for technology.

Part-Time Learning Opportunities

Not sure the full time immersive course is right for you? We offer evening 8 week and 12 week part-time workshops that you can attend on your own schedule.

Intro to Spark for Data Science

In this weekend course you’ll learn to process big data and build data pipelines with Apache Spark.

Data Science Fundamentals

Check out the other part-time courses that we have available to help you level-up your skills in Data Science

Get Started Today

Start your career in Data Science today! Apply for one of our upcoming 12 week Data Science Immersive course dates.