Data Science

An intensive online data science course for a career in applied statistics and machine learning. Apply now

Python

SQL

Data Visualization

Machine Learning

Linear Algebra

Databases

Statistics & Modeling

Natural Language Processing

Upcoming Data Science Course start dates

We offer both full- and part-time Data Science programs so you can choose the option that best fits your life. Students in the full-time program attend class 8 am to 5 pm PT Monday through Friday. Students in the part-time program attend class Monday through Thursday afternoons, in addition to one weekend afternoon.

Nov 30, 2020

Orientation:

11/18/20 - 11/19/20

Enrollment deadline:

11/11/20

Full-time

12 months

6 months

Monday - Friday

8 am to 5 pm PT

choice of Fri, Sat, or Sun

Apply

Jan 11, 2021

Orientation:

1/4/21 - 1/6/21

Enrollment deadline:

12/16/20

Part-time

12 months

6 months

Monday - Thursday

6 pm to 9 pm PT

choice of Fri, Sat, or Sun

Apply

Jan 11, 2021

Orientation:

1/6/21 - 1/7/21

Enrollment deadline:

12/16/20

Full-time

12 months

6 months

Monday - Friday

8 am to 5 pm PT

choice of Fri, Sat, or Sun

Apply

Feb 8, 2021

Orientation:

2/3/21 - 2/4/21

Enrollment deadline:

1/27/21

Full-time

12 months

6 months

Monday - Friday

8 am to 5 pm PT

choice of Fri, Sat, or Sun

Apply

Mar 8, 2021

Orientation:

3/1/21 - 3/3/21

Enrollment deadline:

2/24/21

Part-time

12 months

6 months

Monday - Thursday

6 pm to 9 pm PT

choice of Fri, Sat, or Sun

Apply

Are you ready for an exciting career in data science?

With 26% annual growth, Data Science continues to top emerging job lists year after year. Building on centuries of statistics and mathematics, Data Science uses computational techniques to help the most innovative companies in the world scale. From self-driving cars to dynamic business insights for Fortune 500 Companies, Data Science is changing the world. If you enjoy mathematics and love using data to make decisions, a career in data science could be for you.

More than a data science bootcamp.

Our data science course curriculum is designed to teach you the technical and professional skills hiring managers need most. As a full- or part-time student, you’ll attend live, online lectures led by industry experts who will train you on industry-current tools and techniques for data science, including best practices in the Python ecosystem.
‍
You’ll also learn to analyze a variety of types of data, build reproducible analyses and data-powered systems, and understand how to communicate and build on your insights. Plus, you’ll have the chance to build and contribute to real products with a team of students that you can showcase in your portfolio.

Our rigorous coursework combined with hands-on product experience will help prepare you to become a confident web developer, but we know that there’s more to getting hired than technical knowledge.

Our curriculum also includes intensive professional development starting on Day One. You’ll meet 1:1 with your career coach and job search trainer throughout the program to polish your resume, practice your interviewing skills and source job opportunities, plus you’ll get access to our nationwide alumni network who can help you build your professional network.
‍
Common job titles of Lambda School data science graduates include data analyst, data scientist, and machine learning engineer. Graduates have been hired at Fortune 100 companies, as well as the world’s top startups.

Data Science Units

0

Lambda Launch
Orientation: Remote Working, Class Structure & Expectations, Required Technology and Support

1-4

Statistics Fundamentals
Data Wrangling and Storytelling, Statistical Tests and Experiments, Linear Algebra

5-8

Predictive Modeling
‍Linear Models, Model Comparison, Applied Modeling

9-12

Data Engineering
‍‍Software Engineering, SQL and Databases, Productization and Cloud

13-16

Machine Learning
‍Natural Language Processing, Neural Network Foundations, Cutting-edge models and architectures

17-20

Computer Science
Intro to Python and OOP, Algorithms, Data Structures, Graphs, Hash Tables, and Coding Interview Tips

21-24

Labs
‍‍Participate in our in-house apprenticeship by building a real-world project in a small team

Job Search Support
‍‍Continuing Education and ongoing Job Search support with your Job Search Trainer

Data Science Course Schedules

Classes are live and online. You must have 95% attendance in order to graduate. Every day is unique, but below is an example of what a day might look like.
Pick your time zone and make sure one of the 3 options below fits your schedule.

(This schedule below is illustrative; actual schedule differs unit by unit, but start and end times for each module remain consistent.)

8:00 - 9:00 am

Warm up

Personal time to review the day's materials before instruction begins

9:00 - 11:00 am

Guided Project

Build a project while following the instructor's guidance

11:00 - 12:00 pm

Lunch Break

12:00 - 3:45 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

3:45 - 4:15 pm

Project Wrap

Take a daily survey about your progress

4:15 - 5:00 pm

Stand Up

Meet daily with your Project Manager and 6 to 8 students for support

6:00 - 6:30 pm

Warm up

Personal time to review the day's materials before instruction begins

6:30 - 8:30 pm

Guided Project

Build a project while following the instructor's guidance

8:30 - 9:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

4:00 - 4:30 pm

Warm up

Personal time to review the day's materials before instruction begins

4:30 - 6:30 pm

Guided Project

Build a project while following the instructor's guidance

6:30 - 7:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

9:00 - 10:00 am

Warm up

Personal time to review the day's materials before instruction begins

10:00 - 12:00 pm

Guided Project

Build a project while following the instructor's guidance

12:00 - 1:00 pm

Lunch Break

1:00 - 4:45 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

4:45 - 5:15 pm

Project Wrap

Take a daily survey about your progress

5:15 - 6:00 pm

Stand Up

Meet daily with your Project Manager and 6 to 8 students for support

7:00 - 7:30 pm

Warm up

Personal time to review the day's materials before instruction begins

7:30 - 9:30 pm

Guided Project

Build a project while following the instructor's guidance

9:30 - 10:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

5:00 - 5:30 pm

Warm up

Personal time to review the day's materials before instruction begins

5:30 - 7:30 pm

Guided Project

Build a project while following the instructor's guidance

7:30 - 8:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

10:00 - 12:00 pm

Warm up

Personal time to review the day's materials before instruction begins

12:00 - 1:00 pm

Guided Project

Build a project while following the instructor's guidance

1:00 - 2:00 pm

Lunch Break

2:00 - 5:45 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

5:45 - 6:15 pm

Project Wrap

Take a daily survey about your progress

6:15 - 7:00 pm

Stand Up

Meet daily with your Project Manager and 6 to 8 students for support

8:00 - 8:30 pm

Warm up

Personal time to review the day's materials before instruction begins

8:30 - 10:30 pm

Guided Project

Build a project while following the instructor's guidance

10:30 - 11:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

6:00 - 6:30 pm

Warm up

Personal time to review the day's materials before instruction begins

6:30 - 8:30 pm

Guided Project

Build a project while following the instructor's guidance

8:30 - 9:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

11:00 - 12:00 pm

Warm up

Personal time to review the day's materials before instruction begins

12:00 - 2:00 pm

Guided Project

Build a project while following the instructor's guidance

2:00 - 3:00 pm

Lunch Break

3:00 - 6:45 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

6:45 - 7:15 pm

Project Wrap

Take a daily survey about your progress

7:15 - 8:00 pm

Stand Up

Meet daily with your Project Manager and 6 to 8 students for support

9:00 - 9:30 pm

Warm up

Personal time to review the day's materials before instruction begins

9:30 - 11:30 pm

Guided Project

Build a project while following the instructor's guidance

11:30 - 12:00 am

Project Time

Build on your own and get help along the way from peers and teachers in Slack

7:00 - 7:30 pm

Warm up

Personal time to review the day's materials before instruction begins

7:30 - 9:30 pm

Guided Project

Build a project while following the instructor's guidance

9:30 - 10:00 pm

Project Time

Build on your own and get help along the way from peers and teachers in Slack

You could be a

data analyst.

machine learning engineer.

business analyst.

data engineer.

IT system analyst.

data analytics consultant.

digital marketing manager.

Data Science Tuition Options

Pay $0 upfront + ISA

Our Income Share Agreement is $0 upfront + 17% of salary for two years, $30k USD maximum total payment. Must be a US citizen, Permanent Resident, or DACA recipient

Pay $30k upfront

Instead of an Income Share Agreement, students can opt to pay Lambda School $30k USD upfront for tuition.

Learn more about our Income Share Agreement

How to Apply

Check out our Admissions page to learn everything you need to know about applying to Lambda School, including what we look for, requirements and the application process. Here's a quick overview:

Step 1

Apply to Lambda School
Create your student profile, tell us about your background, and choose your track.

‍Apply now

Step 2

Complete Assessments
Take our aptitude test (45 min). Applicants may be asked to provide additional information in the form of a video interview

Step 3

Complete Enrollment Checklist
Provide proof of your education background, sign the Student Policy Agreement, pay tuition or sign your ISA, and choose your start date. You’re in!

Ready to hustle?

Apply now and get free access to the precourse work.

Apply to Data Science