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.
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.
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:
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
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.
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
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:
A human facial expression classifier using Deep Neural Networks; finds and classifies faces as: happy, sad, surprise, fear, anger and neutral.
A micro brewery recommender system; Are you traveling and want to know a good micro brewery to visit? Use this handy website to get the best local micro brewery recommendation!
Discover your writing style; Stylish will tell you which authors you are most similar to.
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.
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.
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.
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.