We require all students to be on a MacBook made no earlier than 2017, capable of running the most recent operating system and with at least 8 GB of RAM. This is not something you need for the admissions process but you will be responsible for it on the first day of class. You do not need to buy any books or software, though! Our custom curriculum is all online.
We have had students use Chapter 30, 35, and 33, as well as Vocational Rehabilitation Benefits to help cover their tuition costs for our Web Development and Data Science programs. After acceptance, you’ll work with our Financial Aid & Enrollment Manager, who is our in-house School Certifying Official, to see what benefits you have available to you and how those can fit into your tuition plan.
No, Pell Grants are designed for conventional educational institutions like colleges. We’re not college!
Visit our Scholarships page for more information on eligibility and application! We award scholarships about two weeks before a class begins so you must be on the roster by then to be eligible.
Yes! We have generous grant partners,and loan partners with very flexible payment plans – if you don’t want to pay during the program and for 6 months after, you don’t have to! We also partner with the Department of Veterans Affairs, and we award scholarships. After acceptance, you’ll be connected with our Financial Aid & Enrollment Manager who will help you explore all the various options available to you.
Yes. We take a $1,000 deposit to lock in your space in the program. This is your registration deposit. If you end up not joining the class, this is refunded to you. If you do join the class, this goes towards your tuition payment.
There’s no one-size-fits-all answer here, but generally, data scientists spend about 70% of their time on data wrangling, which is the phase of the data science pipeline that focuses on gathering, cleaning, and preparing data for use. Another 30% of their time is spent on model development, and the remaining time is spent on post-deployment efforts like upkeep, visualizations, storytelling, etc.
You’ll graduate with a full technical portfolio and professional portfolio. You’ll have a busy GitHub, Kaggle, and Data.World profile, as well as a number of projects from the classroom like visualizations, cleaned data sets, reports, presentations, models, and more. You’ll also complete a real-world capstone project, which will be great to present to employers.
We’re focused on helping graduates find jobs as data scientists! But depending on your background and what you like, you can also find work as a data engineer, data analyst, machine learning engineer, and related roles.
Data science is everywhere, including cyber security, SaaS, banking, and retail. Big companies like USAA, Accenture, HEB, and Booz Allen Hamilton work in this realm, as do smaller agencies like Quickpath Analytics.