Dartmouth Engineering Data Science Bootcamp
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 will be 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. Bootcamp students are required to have their own computer with Windows 7 or later, MacOS, or Linux.
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. Deferred payment and financing options are available to assist with tuition fees.
Dartmouth Engineering Data Science bootcamp is powered by Emeritus.
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Recent Dartmouth Engineering Data Science Bootcamp News
- Data Science, Data Visualization, Algorithms, Python, Machine Learning
OnlinePart Time15 Hours/week24 Weeks
Start Date April 27, 2021 Cost $6,500 Class size N/A Location OnlineData 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.
Deposit N/A FinancingLending Partner: Skillsfund
Monthly Installment Plans available
Minimum Skill Level Comfort with Calculus, Linear Algebra, Statistics, and Probability Placement Test Yes Interview No
More Start DatesApril 27, 2021 - OnlineJune 29, 2021 - Online
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