About
About
University of New Hampshire bootcamps teach both UX/UI Design and Machine Learning in a self-paced, online classroom. Typically, students spend 10 hours per week on coursework and complete the bootcamp in 36 weeks. Bootcamp students may finish earlier if they choose to spend more hours each week on course materials.
At the UNH UX/UI Design Bootcamp, students will learn to identify a customer problem to solve, conduct competitive research, sketch, design, build a prototype, and perform usability testing and identify improvements. Bootcamp students will complete 4 portfolio projects, including a design sprint that requires students to move through the entire design process in one week. Bootcamp students also have the option to be matched with a real-world company to complete a 40-hour industry design project.
At the UNH Machine Learning Bootcamp, students learn to build, scale, and deploy machine learning applications. The curriculum covers Python data science tools including pandas, scikit-learn, Keras, TensorFlow, machine learning engineering tools including Spark/PySpark, TensorFlow, Luigi, Docker, Hadoop, AWS, and Fast.ai, and software engineering tools like continuous integration, version control with Git, logging, testing, and debugging.
University of New Hampshire Online Bootcamp students will receive unlimited 1:1 personal mentor support throughout the bootcamp. Bootcamp students will receive a certificate of completion upon bootcamp graduation.
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Courses
Courses
Applied Machine Learning Bootcamp
ApplyData Science, Data Visualization, Algorithms, SQL, Python, Machine Learning
OnlinePart Time15 Hours/week24 WeeksStart Date None scheduled Cost $8,940 Class size N/A Location Online UNH is the flagship research university of New Hampshire, and has been ranked one of the 50 best public universities in the nation and a top-100 “best college for your money”. (Source) This Data Science Bootcamp is an intensive course with a 400+ hour curriculum designed around two portfolio-worthy capstone projects. You’ll learn the Data Science Method — the process that leads to successful data science projects — and have the option to choose from one of three specialization tracks where you can learn skills to help you stand out from the data science pack. The curriculum is split into 18 units covering the topics below, with a specialization that aligns with your data science career goals: - Python Data Stack - Data Wrangling - The Data Story - Statistical Inference - Machine LearningFinancing
Deposit N/A Financing Lending partner available: Climb CreditTuition Plans $1,650/month, $8,940 upfront, or financing available. Scholarship $750 scholarship for veterans and women in tech. Getting in
Minimum Skill Level No prior coding experience is required, but to be successful, we recommend that students are already proficient in high-school level mathematics with an openness to learning more advanced concepts where necessary. Prep Work None Placement Test Yes Interview Yes
UI/UX Design
ApplyStart Date None scheduled Cost N/A Class size N/A Location Online At the bootcamp, students will learn to identify a customer problem to solve, conduct competitive research, sketch, design, build a prototype, and perform usability testing and identify improvements. Bootcamp students will complete 4 portfolio projects, including a design sprint that requires students to move through the entire design process in one week. Bootcamp students also have the option to be matched with a real-world company to complete a 40-hour industry design project. The average amount of time to complete the bootcamp is 36 weeks, based on 10 hours of coursework per week. Bootcamp students may finish earlier if they choose to spend more hours each week on course materials.Financing
Deposit N/A Getting in
Minimum Skill Level N/A Placement Test No Interview No
