Become a Data Scientist

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$111K Average Starting Salary

2014-2015 Placement Data


75+ Alumni Employers


92% Placement Rate

2014-2015 Placement Data

Ready to learn Data Science?

Apply for one of our upcoming courses.

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Teaching Tomorrow’s Data Scientists

Galvanize gives you the tools, techniques, and fundamental concepts needed to make an impact as a data scientist. In just 12 weeks, you'll apply problem-solving and creative thinking to real-world data sets, gaining experience across the data science stack: data munging, exploration, modeling, validation, visualization, and communication.

Placement

After graduating from the Data Science program, many of our alumni pursue data scientist roles, while others pursue careers in machine learning, software engineering, data analysis, data science consulting, and data product management. Throughout the Galvanize program, students have the opportunity to explore these career paths and engage with professionals working in the field, as well as employment partners.

Where our Graduates Work

After leaving Galvanize, our students go on to work at some of the most exciting and innovative tech companies all across the country. Here are just a few of them:

Amazon

Asana

Facebook

GE

IBM

Ibotta

Lyft

Microsoft

Oracle

PayPal

Sales Force

Spotify

Tesla

Trunk Club

Turo

VMWare

WB

ZS

Our Instructors

Giovanna Thron

Giovanna Thron
Lead Instructor | San Francisco – SoMa, Seattle – Pioneer Square

Isaac Laughlin

Isaac Laughlin
Instructor | San Francisco – SoMa

Brian Mann

Brian Mann
Associate Instructor | Seattle – Pioneer Square

Giovanna Thron

Joshua Bernhard
Instructor | Denver – Platte

View All Instructors

I had the opportunity to spend three months just focusing on learning surrounded by other crazy-talented people.

– Erin Burnside, Graduate & Data Scientist at Asana

Curriculum

Grounded in Python, our program covers the necessary tools and concepts used by data scientists in industry, including machine learning, statistical inference, and working with data at scale. As you learn more advanced techniques, you’ll use tools like SQL and NoSQL. When you graduate, you’ll have a solid grasp of machine learning, statistics, and will have built numerous data science applications.


Python & SQL


Statistics


Machine Learning


Big Data

Week-to-Week

Week 1 - Exploratory Data Analysis and Software Engineering Best Practices
Week 2 - Statistical Inference, Bayesian Methods, A/B Testing, Multi-Armed Bandit
Week 3 - Regression, Regularization, Gradient Descent
Week 4 - Supervised Machine Learning: Classification, Validation, Ensemble Methods
Week 5 - Clustering, Topic Modeling (NMF, LDA), NLP
Week 6 - Network Analysis, Matrix Factorization, and Time Series
Week 7 - Hadoop, Hive, and MapReduce
Week 8 - Data Visualization with D3.js, Data Products, and Fraud Detection Case Study
Weeks 9-10 - Capstone Projects
Week 12 - Onsite Interviews

Projects

As part of our curriculum, you’ll work on individual and group projects, including a personal capstone project that you’ll present at demo nights and hiring events. You'll also have the opportunity to work with tech companies to put your new skills to work. Here are just a few awesome things our students have built:

Early-Detection of Forest-Fires
Sean Sall

Accurately identify fires so that the detected fires data set can be used in near real-time to aid forest fire prevention, where every minute counts.

Yelp Summarization Miner
Jeff Fossett

Aspect-based sentiment analysis of online reviews
View project

Hypemergence
Wini Tran

Predicting emerging artists from HypeM's Latest Blogged Artists

View project

The Language of Fraud
Jana Thompson

Project built using natural language processing technologies and tools such as Stanford, Core Parser Word2Vec, and CoreNLP to predict fraudulent behavior online.

Admissions

We’ll give you a take home assignment to assess your quantitative and programming skills, then conduct two technical interviews. The first evaluates your proficiency with programming in Python while the second covers probability, statistics, experiment design, and basic modeling. We look for students who are familiar with data analysis tools and practices and a background in a quantitative disciplines like foundational statistics, probability, linear algebra, or mathematics.

Scholarships and Financial Aid

We offer partial scholarships based on merit, demonstrated financial need, and increasing participation in technology among underrepresented groups such as women, veterans, minorities, and people who identify as LGBT. We also partner with Skills Fund for students who need help financing their tuition.

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Campus Life

Our community is where people and companies with the guts and smarts to create real-world change congregate and inspire each other. With expert instructors, startups, and industry partners working side by side, there’s always someone to help you progress, offer you new challenges, or provide a key introduction.

Career Preparation

Learn data science by doing data science. Our curriculum is designed around solving practical, real-world problems with relevant data sets. After completing your 3-week capstone project, you’ll work with our outcomes team to receive interview coaching and practice, resume review, and get introductions to partner companies to ensure you put your best foot forward after graduation. Present your project and interview with 30+ companies at our Hiring Day.

Have More Questions?

Read our full FAQ or get in touch with someone on the Galvanize team.

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Upcoming Dates

Seattle

Pioneer Square

Sep 06 - Dec 02
$16k

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San Francisco

SoMa

Sep 12 - Dec 09
$16k

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San Francisco

SoMa

Nov 14 - Feb 17
$16k

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Austin

2nd Street District

Dec 05 - Mar 03
$16k

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Denver

Platte

Dec 12 - Mar 17
$16k

Get More Info Apply Now