Launch your career into the world of data

Launch your career into the world of data

Launch your career into the world of data

Build valuable skills to transform your career as a Data Analyst or Data Scientist.

Build valuable skills to transform your career as a Data Analyst or Data Scientist.

Build valuable skills to transform your career as a Data Analyst or Data Scientist.

part time data science student studying
part time data science student studying
part time data science student studying

Overview

This 25-week, flexible part-time course is built for working adults with a project-oriented, career driven approach to learning.

M - Ths

6:00 pm - 9:00 pm PST

25 Weeks

Duration

Apr 8th

Upcoming dates

July 7th

Application deadline

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.

Python

Python

Statistical Analysis

Statistical Analysis

Data Preparation

Data Preparation

Data Cleaning

Data Cleaning

Data Visualization

Data Visualization

NumPy, SciPy, Matplotlib

NumPy, SciPy, Matplotlib

Data Analytics

Data Analytics

Data Representation

Data Representation

Data Collection

Data Collection

Data Exploration

Data Exploration

SQL and Visualization Software

SQL and Visualization Software

Machine Learning

Machine Learning

Build, Train, Test

Build, Train, Test

Unsupervised ML Models

Unsupervised ML Models

Supervised ML Models

Supervised ML Models

Scikit-Learn

Scikit-Learn

Pandas

Pandas

Deep Learning

Deep Learning

TensorFlow

TensorFlow

Keras, PyTorch

Keras, PyTorch

Regression

Regression

Classification

Classification

Time Series

Time Series

Artificial Intelligence

Artificial Intelligence

Natural Language Processing

Natural Language Processing

Image Recognition

Image Recognition

Computer Vision

Computer Vision

Recommendation Systems

Recommendation Systems

Cloud & Deployment

Cloud & Deployment

Big Data

Big Data

PySpark

PySpark

Intro to Amazon AWS

Intro to Amazon AWS

Amazon SageMaker

Amazon SageMaker

Amazon SageMaker Studio

Amazon SageMaker Studio

Meet the instructors

Our passionate instructors are experienced software engineers dedicated to your success. With years of industry experience, they provide personal 1-on-1 assistance in and out of class, ensuring you master coding skills with confidence.

senior data science instructor zia
senior data science instructor zia

Zia Khan

Senior Data Scientist

data science instructor sam
data science instructor sam

Sam Van Gorden

Former Researcher at Federal Reserve Bank of Kansas City

Fo

Fo

Fo

senior data coach frank
senior data coach frank

Frank Fletcher

Former Data Science Instructor and Mentor

data science instructor tim
data science instructor tim

Tim Horist

Lead Software Engineer at Silicon Beach Solutions

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

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

LinkedIn

Networking

Cover letters

Interview preparation

Salary negotiation

Data Science Part Time

In-person and online | 2 modules

Up-Front Payment

$13,990

$12,990

Includes a $1,000 up-front payment discount

Additional discounts and scholarships can be applied

Loan Payment

as low as $376.67 / month

Pay by Module

$6,995 / per module

Dive deeper

Learn more about our data science bootcamp

Student Projects

Check out the data science capstone projects that previous students have created. What will your next analytics project be?

Check out the data science capstone projects that previous students have created. What will your next analytics project be?

Check out the data science capstone projects that previous students have created. What will your next analytics project be?

Coding concepts

Our proprietary data analytics, ML, and AI curriculum is curated with the tech industry and employer demands in mind.

Our proprietary data analytics, ML, and AI curriculum is curated with the tech industry and employer demands in mind.

Our proprietary data analytics, ML, and AI curriculum is curated with the tech industry and employer demands in mind.

Career Services

Our Career Services team is dedicated to you and your journey throughout your web development career.

Our Career Services team is dedicated to you and your journey throughout your web development career.

Our Career Services team is dedicated to you and your journey throughout your web development career.

Sign-up to attend an info session

Sign-up to attend an info session

Sign-up to attend an info session