Overview
This 25-week, flexible part-time course is built for working adults with a project-oriented, career driven approach to learning.
Mon - Ths
6:00 pm - 9:00 pm PST
25 Weeks
Duration
Jan 13 - 24
Upcoming prep dates
Feb 3, 2025
Upcoming Bootcamp
What you'll learn
Our data science bootcamp is led by data science experts. Students get comprehensive training in cutting edge data analytics and machine learning concepts.
Meet the instructors
Our passionate instructors are experienced data professionals dedicated to your success. With years of industry experience, they provide personal 1-on-1 assistance in and out of class, ensuring you master skills with confidence.
Zia Khan
Senior Data Scientist
Sam Van Gorden
Frank Fletcher
Former Data Science Instructor and Mentor
Emily Dinh
Data Scientist & M.A. in Artificial Intelligence
Data Analytics
Module 1
Weeks 1-12
Module 1
Data Analytics
Master the art of data collection, preparation, exploration, and visualization
Gain proficiency in SQL and Python for data manipulation
Explore supervised ML techniques including regression models and classification algorithms
What should I expect?
Course Work
40+ Exercises
Time to Complete
12 weeks
Hands-On Experience
3 Portfolio Projects
Prerequisites
Intro to Data Science
Student Type
You've taken the Intro to Data Science Course
You have basic python & statistical skills
You have practical business or industry experience
Topics Covered
Python
SQL
Web Scraping
Data Cleaning
Statistical Analysis
Python Libraries (Pandas, Matplotlib, etc.)
Machine Learning
Schedule & Location
Instruction Hours
Mon, Tue, Wed, Thu
6:00 pm - 9:00pm Pacific Time
Location
Remote & In-Person Options
Advanced Data Science
Module 2
Weeks 13-25
Module 2
Machine Learning & AI Systems
Practice principles, applications, and evaluation methods for unsupervised and supervised ML
Study Artificial Intelligence topics including Image Recognition and Natural Language Processing
Use time series analysis and big data processing to derive insights and make decisions
What should I expect?
Course Work
40+ Exercises
Time to Complete
12 weeks
Hands-On Experience
3 Portfolio Projects
Prerequisites
Module 1
Topics Covered
Keras, Tensorflow
Neural Networks
Recommendation Systems
Image Recognition
Natural Language Processing
Machine Learning in the Cloud (AWS, Docker, Sagemaker, Spark)
Time Series
Schedule & Location
Instruction Hours
Mon, Tue, Wed, Thu
6:00 pm - 9:30pm Pacific Time
Location
Remote & In-Person Options
Web Development Full Time In Person
Post Program
Weeks 25-29
Prepare to get hired
Career Services
Complete mock behavioral and technical interviews
Build a market-ready portfolio of real-world data projects
Hone your LinkedIn and resume to be job-ready
What should I expect?
Course Work
Final LinkedIn & Resume
Time to Complete
4 weeks
Hands-On Experience
Final Project
Prerequisites
Data Science Program
Topics Covered
Resume
Networking
Cover letters
Interview preparation
Salary negotiation
Data Science Part Time
In-person and online | 2 modules
Dive deeper
Learn more about our data science bootcamp
