About this Data Science Bootcamp with USF CTPE
Data science is one of the fastest-growing fields of this decade. The amount of data created each day has surged thanks to the ubiquitous storage of everything from health records to the millions of actions taken on websites and mobile devices. Being able to make sense of all this data — and thus drive intelligent, outcomes-focused decisions — is a vital skill and one that is at the heart of being a data scientist. Learning data science is one of the best career investments you can make. In fact, according to LinkedIn, data science hiring has increased by 46% since 2019.
Our 100% online, Florida-based USF CTPE Data Science Bootcamp consists of a 400+ hour curriculum designed around two hands-on capstone projects. You’ll learn the Data Science Method, the process that leads to successful data science projects. You’ll also have access to a 1-on-1 industry mentor to discuss your projects with regularly, a dedicated student advisor and career coaches to help you succeed.
The curriculum is divided into a two-part structure. During your application, you’ll take a technical skills survey to determine your starting line:
Foundations: Provides prep materials and covers essential data science concepts, including Python, that you’ll need to succeed in the program core.
Core: This section contains the bulk of the coursework, and prepares you for a data science career.
Within the core curriculum, you’ll be able to choose from one of three specialization tracks, where you can learn specialized skills to help you stand out from other data scientists.
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Data science careers
The Data Science Bootcamp can prepare you for a variety of related roles and specializations.
Data Science Bootcamp curriculum
Each unit of the Core material will cover a key data science concept and the skills associated with that concept. The units feature a mix of materials: projects, lectures, theory, coding exercises, reading/viewing exercises, and career-related coursework.
The Data Science Method
The units center around the Data Science Method. This method involves six steps:
Problem identification
Data wrangling
Exploratory data analysis
Pre-processing and training data development
Modeling
Documentation
Specialization areas
Within the core curriculum, you’ll be able to choose from one of three specialization tracks, where you can learn specialized skills to help you stand out from other data scientists.
The Generalist Track
This track will prepare you to take on versatile data science roles across a wide variety of business domains and geographical locations. You ’ll build on the foundational skills you learned in the core units and tackle more advanced topics like working with Big Data and software engineering best practices.
The Business Insider Track
This track aims to teach you advanced data visualization and business analytics skills to extract actionable business insights. While you will have the ability to build predictive machine learning models, you'll primarily focus on learning how to identify insights and effectively communicate recommendations.
The Advanced Machine Learning Track
This track aims to teach you advanced machine learning skills and concepts, including deep learning and the deployment of machine learning models on standard industry platforms. If you want to broaden your machine learning skills, this track may be the right one for you.
Hands-on, portfolio-worthy projects
In addition to small projects that help you reinforce technical concepts, you’ll complete two capstones which will be the cornerstone of your portfolio that you can show to hiring managers.
Capstone 1: Guided capstone
Your first capstone project comes up fairly early in the course. For this project, you’ll be given a lightweight introduction to each step of the Data Science Method. You’ll then be guided through each of those steps with helpful tips and instructions. This first capstone builds your foundational understanding of each of these critical steps while also allowing you to practice each step before applying your knowledge to your second capstone.
Capstone 2
This capstone takes place later in the bootcamp and has less guidance. You’ll be asked to:
Come up with a project idea and proposal
Find and wrangle data
Use exploratory data analysis techniques to understand that data
Pre-process and create a training dataset
Build a working model
Document and present your work
Fit learning into your life, with industry experts in your corner
Learn on your own time and study on your schedule. Stay on track with mentors and peers to keep you accountable.
Get dedicated 1:1 mentor support
Meet regularly with your personal mentor to receive feedback on projects, discuss blockers, and refine your career strategy.
Build study plans that work for you
Complete the course sooner by putting in more hours per week.
Plan ahead with 1:1 career coach calls
Craft your design job search, practice interviews, and negotiate offers.
Connect with our community
Get extra help from other mentors in our community, at no extra cost.
Meet our mentors
Build your skills faster and advance your personal growth with 1:1 mentorship.
Is this Data Science Bootcamp Right for You?
This bootcamp is designed for students with proficiency in math and statistics, as well as English fluency.
During the application process, you’ll take a technical skills survey to determine your starting line.
Students without prior coding experience with proficiency in math and statistics will be provided units that cover essential data science concepts, including Python, which you’ll need to succeed in the core curriculum.
Students with prior experience in statistics and programming, such as software developers, analysts, and finance professionals, will have access to the same introductory units, but they will be optional. You’ll be able to move right into the core curriculum.
FAQ
More questions about the program?
Schedule a call with our Enrollment Team by applying now or email Carolina, our Enrollment Advisor, to aid in your decision.