Our Data Science bootcamp uses Python-based curriculum, real-world case studies, and machine learning concepts that prepare you for a career as a Data Scientist.
Derived from our commitment to improving access and affordability, we are pioneering this new and innovative way to help pay for our programs.
Our Bootcamp has created an incredible network of top-tier data scientists who work everywhere from early-stage startups to some of the most prestigious tech companies.
Our students have received jobs at some of the top tech companies:
Our Python-based curriculum introduces best practices in machine learning, statistical analysis, natural language processing, and data visualization. You’ll examine case studies and master the tools needed to advance your career and solve today’s greatest business problems. For those who want additional experience in Python, we offer an in-person Python Fundamentals course.
Our highly motivated students come from a variety of backgrounds like data analysis, engineering, and mathematics. You’ll learn to code alongside a cohort of driven peers as well as develop meaningful connections with our team of experienced, world-renowned faculty.
At our bootcamp, you gain more than an education; you develop a network. Our career services team helps you identify strengths, define goals, and connects you to our 1,000+ hiring partners to ensure your career aspirations become a reality.
Our coding bootcamp is advanced and requires students to possess drive and determination before joining a cohort. Applicants must also have programming experience in Python and significant expertise in math, statistics, and probability to pass our technical interview required for admittance. We also provide prep courses that prepare you for our Immersive bootcamp program.
Learn fundamentals like Python, machine learning, and SQL needed to succeed in our Data Science Immersive bootcamp. Learn to code in our fast-track coding bootcamp prep course!
Students jump right into a Python-based curriculum where we explore and learn statistical analysis, including frequentist and Bayesian methods. By following software-engineering best practices and pair programming with fellow students from different backgrounds, students master concepts fundamental to data science while growing in skill with libraries like numpy, scipy, and pandas. For those who still need to learn Python basics, we offer an in-person Python Fundamentals course.
In the second quarter, we dive into machine learning, working on real problems in classification, regression, and clustering using structured and unstructured data sets. We build a conceptual understanding of each model before practicing with libraries used in the industry.
In the third quarter, we add a variety of special topics to our knowledge, including natural-language processing, recommender systems, neural networks, and time-series data. We gain experience with big data and data in the cloud. By the end of this section, students should be well-versed in data science and ready to work on their own.
Over the course of our data science bootcamp, students work independently on three projects unique to their interests or career aspirations. These "capstone projects" solve real problems using the technical skillset students have learned throughout the course and demonstrate their fitness as a professional data scientist. Students also work on several group case studies throughout the program, combining real-world data with what they've learned each week while practicing team-based software development.
Pay tuition when you're employed.
Finance the full tuition upfront.
Discover our Software Engineering and Data Science scholarships here.
Finance your tuition by leveraging our lending partners: SkillsFund or Climb Credit.
San Francisco
SoMa
44 Tehama St
Interested in a full-time immersive program? Attend an info session for our Data Science Immersive bootcamp to connect with our admissions team and discover what program is the best fit for you.
13 Weeks | On Campus
Mon-Fri 8:30am - 5:30pm
Interview Deadline: Nov 18
13 Weeks | On Campus
Mon-Fri 8:30am - 5:30pm
Interview Deadline: Mar 02
Galvanize creates and hosts dozens of events each week - from meetups to hackathons and everything in between. Our programming offers unique access to learning opportunities and influencers in the local tech network.
Our Career Services team works with you to develop important personal branding, networking, and interviewing skills to ensure you have a successful post-graduation job search strategy.
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Our beautiful campuses are home to startups, Fortune 500s, and technical talent that create a community designed to nurture meaningful networking opportunities.
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Galvanize mentors are industry experts with a diverse set of viewpoints and backgrounds who can help companies, entrepreneurs, and students work through challenges and build your network. Galvanize Residents are hand-selected graduates who assist with training students in fundamentals and best practices.
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We are proud to have over 8,000 alumni who are thoughtful, ambitious, and entrepreneurial to the core. Our worldwide alumni network is a powerful family that you join when you enroll with Galvanize.
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At Galvanize, we're proud to feature industry leaders and world-renowned engineers as our instructors.
Lead Data Science Instructor
Jack is a data scientist with fifteen years of industry experience (and six in management) in development, test, operations, program management, and instruction. Delivered products over multiple development cycles at both Microsoft and startup companies.
Senior Data Scientist
Kayla is a data scientist based in Denver, Colorado with a bachelor's degree in math from Texas Christian University in Fort Worth, Texas. She taught secondary math for 6 years in Northern Colorado, took Galvanize's Data Science program, became a Data Scientist, and then returned to Galvanize to teach.
Data Science Instructor
Natalie is an instructor with background in computational biochemistry. She is experienced with Natural Language Processing, bioinformatics, and interested in the rest.
"I chose Galvanize because I was really impressed with the breadth of the curriculum and opportunities to wrestle with big data tools. It seemed well aligned with current industry needs."
Larry Thomas, Data Scientist, Triplebyte
“A career change is really exciting but also really tough, so it’s great to have a whole community of people who go through it together.”
Lili Yao, Data Scientist, Asana
"The community of Galvanize was hands-down the best part of the experience. The immersive program trained me to develop grit & a strong work ethic that eventually led me to quickly landing a new job!”
Puneet Lahoty, Senior Data Scientist, Earnin
Our bootcamp prepares grads to work at today’s most impressive companies.
Take your first step toward a new career and start the conversation about becoming a Data Scientist.
Join us for an info session, workshop, or tour and learn about our student life.
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