4-Week data science bootcamps

 

we welcome you to take Our 4-week bootcamps.

they are intense!

they can be hard work.

but the payoff is worth it.

our bootcamps pay dividends to your skillset.

You will be satisfied with what you'll get.

How confident are we? We stand by it with a money back guarantee.

our bootcamp programs meet on saturdays for 4 consecutive weeks. weekly assignments reinforce your learning. you'll be pushed to great heights.

spots are limited. reserve your seat now!

Data Science Programming Fundamentals in R Bootcamp

Now enrolling for:

September 1-28, 2019

You'll gain the most in-demand R programming skills and experience with ALL of the necessary computer science fundamentals for performing data science. Ideal for beginners to programming/data science or experienced programmers who are new to the R language. 

Prerequisites: None. Reach out to us to discuss if this course is right for you.

Deliverables: 4 computer science projects to add to your portfolio and resume

Meets on Saturdays

Inferential Statistics Bootcamp

Enrollment currently closed. Will run again in 2020. 

What distinguishes a data scientist from a programmer is simply having command over statistics and machine learning. This 4-week course is intense, but equips you with proficiency-level knowledge of inferential statistics. Your resume will be shining with these portfolio projects, and more importantly you will gain solid foundational knowledge of the most relevant inferential statistics techniques for data science.

Prerequisites: None, but some basic knowledge of R programming is recommended (not required). Reach out to us to discuss if this course is right for you.

Deliverables: 4 statistics projects to add to your portfolio and resume

Meets on Saturdays

Machine Learning and Deep Learning Bootcamp 

Now enrolling for:

January 06-27, 2020

Machine learning needs no introduction. It is the hallmark skill of any data scientist. Simply put, knowing machine learning will take you from solid technical professional to in-high demand. In this course you will learn the best practices and techniques of supervised learning, unsupervised learning, and will take a tour of neural networks/deep learning. 

Prerequisites: proficiency in R programming. Some statistics background recommended, but not required. Reach out to us to see if this course is right for you.

Deliverables: 4 machine learning projects to add to your portfolio and resume

Meets on Saturdays

rather start with something lighter?

sign up for our 1-day workshops

join our mailing list so you don't miss future classes.

how to get started? 

reach out to us to discuss how you can get  started with accelerate.

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