This full-time, 12-week data science experience hones, expands, and contextualizes the skills brought in by our competitive student cohorts. Incorporating traditional in-class instruction in theory and technique, students use real data to build a five-project portfolio to present to potential employers and have access to full career support throughout and after the bootcamp.
Schedule a Chat with Admissions12-Week, in-person Bootcamp
Monday - Friday, 9:00am - 5:00pm
2-3 hours of classroom instruction daily
4-6 hours of development and project work
Experience with programming
Experience with stats
25 hours minimum of academic pre-work and variable hours to setup.
WEEK 1: Introduction to the Data Science Toolkit
Exploratory Data Analysis, Bash, Git & GitHub, Python, pandas, matplotlib, Seaborn
WEEK 2: Linear Regression and Machine Learning Intro
Web scraping via BeautifulSoup and Selenium, regression with statsmodels and scikit-learn, feature selection overfitting and train/test splits, probability theory.
WEEK 3: Linear Regression and Machine Learning Continued
Regularization, hypothesis testing , intro to Bayes Theorem
WEEK 4: Databases and Introduction to Machine Learning Concepts
Classification and regression algorithms (Knn, logistic regression, SVM, decision trees, and random forest), SQL concepts, cloud servers
WEEK 5: More supervised learning algorithms & web tools
Naive Bayes, stochastic gradient descent and intro to Deep Learning, Full stack in a nutshell: Python Flask, Javascript and D3.js
WEEK 6: Statistical Fundamentals
MLE, GLM, Distributions, Databases ( RESTful APIs, NoSQL databases, MongoDB, pymongo) Natural Language Processing techniques
WEEK 7: Unsupervised Machine Learning
Various clustering algorithms, including K-means and DBSCAN, dimension reduction techniques (PCA, SVD, LDA, NMF)
WEEK 8: More Deep Learning & Unsupervised Learning
Deep Learning via Keras, Recommender Systems
WEEK 9: Big Data
Hadoop, Hive & Spark, Final project initiated
WEEK 10-12: Final Project
Download Full SyllabusConsider one of our part-time professional development courses.
Gain the skills you need + apply your tuition paid towards the bootcamp.
We partner with Skills Fund, an innovative financing company that offers financing options for students accepted to our bootcamp.
We are committed to creating a culture of inclusion within the exciting and growing field of data science. We aim to foster an equal and representative data science community amongst our staff and within our classrooms, filled with individuals of all technical, educational, and personal backgrounds.
Because of this, we offer $3,000 Data Science Bootcamp Scholarships to women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military.
Why?
- Women make up less than one-third of all employees in the tech sector and just 11% of data scientists1 – additionally, they are paid significantly less, on average.2
- Women of color represent less than three percent of those in technology fields.3
- Only four percent of those in software development, application, and systems jobs are African-American and just five percent are Hispanic or Latino.4
- There are 20% fewer LGBT individuals in government STEM-related jobs than should be expected5 and 43% of the STEM workforce is closeted.6
We must reverse these trends and create more avenues for talented individuals from these groups and communities to enter, remain, and thrive in the field of data science.
* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.
International students can attend the Metis Data Science Bootcamp in New York City or San Francisco on an M-1 Visa. Details here.
Learn from and network with 8-12 industry speakers throughout the duration of the bootcamp, attend Metis-sponsored events and Meetups on-location and throughout your city, and network with Metis alumni and other on-site developers and entrepreneurs.
Check out some of our upcoming and past speakers to get an idea of the types of industry leaders you’ll hear from (and network with) during your time in the bootcamp.
View Upcoming and Past SpeakersSee examples of projects created by Metis bootcamp graduates. Final projects analyze all kinds of data from politics, fashion, travel, sports, public health, and more.
View Recent Alumni ProjectsWe discuss salary, location, industry, and culture to best align you with the right company and career.
Learn from industry experts through our Speaker Series. View upcoming and past speakers here.
Engage in workshops like resume writing, salary negotiations, and more.
Participate in a practice technical interview with professional data scientists.
Visit hiring companies and network with their data science teams.
Present your final passion project to employers and meet hiring companies.
Get ongoing career guidance, support, and access to additional resources.
Work part-time as a data science consultant while you do your job search.