Master the Skills to Advance Your Career

Build your data science expertise by leveraging real-world data sets and learning from industry experts with a Python-based curriculum. Master relevant tools and techniques to solve actual business problems and advance your career today.

Learn from World-Class Faculty

Galvanize is the recognized leader in technology education with a focus in software development, data science and data engineering. We have a world-renowned team of experienced, full-time instructional faculty with decades of experience among them.

Study with Top-Tier Industry Peers

Solve problems alongside high-achieving students with diverse backgrounds in science, data analysis, engineering, mathematics, and more. Build meaningful connections, meet potential employers and join a community of lifelong learners.

Land Your Dream Job

Our career team helps to identify your strengths, refine your goals, and connect you with Galvanize’s 1000+ hiring partners to turn your career aspirations into a reality.

Want to learn more?

Click here to read about our admissions process.

Learn Data Science on Nights & Weekends during our 26-week program in New York.




13 or 26 Weeks

Daytime or Nights & Weekends

Want to level up while you work? Try our Nights & Weekends option.

Visit the Campus

West SoHo

303 Spring StreetNew York, NY 10013

Not sure if you're ready for a full immersive program, or want more information? Attend an in-person, Data Science info session to connect with admissions, ask questions, and see if this program is the right fit.

Upcoming Dates

New York

Jan22 - Apr26

Mon-Fri 9:00am - 6:00pm

New York

May6 - Aug9

Mon-Fri 9:00am - 6:00pm

New York

Aug19 - Nov22

Mon-Fri 9:00am - 6:00pm

New York

Dec2 - Mar13

Mon-Fri 9:00am - 6:00pm

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Where Our Graduates Work

Number of Graduates


Placement Rate


Average Starting Salary


*Placement rate and average starting salary based on 2014-2017 Placement Data. Data is an aggregate of all campus locations.

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

Quarter 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.

Quarter 2

Machine Learning & Real-World Case Studies

In the second quarter 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.

Quarter 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.

Quarter 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.

Want more info on the curriculum?


Weeks Applicable to Daytime Program

Week 1: Data Analysis Environment
UNIX, CLI, OOP, SQL, Jupyter Notebook, Pandas, Plotting (Matplotlib, Seaborn, Bokeh)

Week 2: Probability and Statistics
Probability, Counting, Sampling & Estimation, Hypothesis Testing, Power & Bayes, MAB

Week 3: Linear Models
Linear Algebra, EDA, Linear Regression, Cross Validation & Regularization, Logistic Regression, Gradient Descent

Week 4: Supervised Learning
Decision Trees, KNN, Bagging, Random Forests, Boosting, SVMs

Week 5: Networks & NLP
Profit Curves, Imbalanced Classes, Neural Networks, Web Scraping, NLP

Week 6: Unsupervised Learning
Kmeans, Hierarchical Clustering, Dimensionality Reduction, NMF

Break Week

Week 8: Data Engineering
Recommender Systems, AWS, Parallelization, Flask, Agile

Week 9: Big Data Products
Map Reduce, Spark, SparkSQL, SparkML, Algorithm Complexity Analysis

Weeks 10-12: Capstone Project

Week 13: Mock Technical Interviews

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.

Get Started Today

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

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