Dartmouth Engineering offers a 24-week, online Professional Certificate in Applied Data Science bootcamp. Students should expect to devote approximately 10-15 hours weekly to the bootcamp. Time is divided between recorded video lectures, coding video demos, assignments, attending office hours, group webinars, and meetings with a dedicated career coach and mentor.
Data Science bootcamp students will learn data visualization, machine learning, risk management, predictive capabilities, Python, regression models, and algorithms, such as K-means clustering and random forest. Students will develop a portfolio to share with potential employers.
Data Science students will receive one-on-one career coaching, mentorship from industry experts, and access to regular webinars covering topics such as LinkedIn profiles, elevator pitches, interview goals, and developing rapport with potential employers. Access to the online learning platform, vidoes, and bootcamp materials is available for six months after bootcamp completion.
Applicants to the Dartmouth Engineering Data Science bootcamp are required to pass an assessment to demonstrate their knowledge of calculus, linear algebra, statistics, and probabilities.
The Dartmouth Engineering Data Science bootcamp is fully graded, including assignments, quizzes, and a final project. Upon graduation with a cumulative score of 75%, bootcamp students will receive a Professional Certificate in Applied Data Science from Thayer School of Engineering at Dartmouth.
Python, Machine Learning, Algorithms, Data Visualization, Data Science