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Galvanize Rating

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Length

12 Weeks

Cost

$16,000

We also offer scholarships and financing as well as student housing 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.

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Where Our Graduates Work

Number of Graduates

172

Placement Rate

81%

Average Starting Salary

$100,889

*Placement rate and average starting salary based on 2016 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 using 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 projects 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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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. If you’re relocating, we have excellent student housing options where you can room with another Galvanize student.

Get Started Today

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

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