4 months At 15 hours / week
Nikhil Bikhchandani, Emily Lindemer, Mazen Zawaideh, Ivan Tarapov, Michael DAndrea
-Real-world projects from industry experts With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want. -Technical mentor support Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track. -Career services You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role. -Flexible learning program Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
To be best prepared to succeed in this program, students should be able to: Intermediate Python: Read, understand, and write code in Python, including language constructs such as functions and classes. Read code using vectorized operations with the NumPy library. Machine Learning: Build a machine learning model for a supervised learning problem and understand basic methods to represent categorical and numerical features as inputs for this model Perform simple machine learning tasks, such as classification and regression, from a set of features Apply basic knowledge of Python data and machine learning frameworks (Pandas, NumPy, TensorFlow, PyTorch) to manipulate and clean data for consumption by different estimators/algorithms (e.g. CNNs, RNNs, tree-based models).
|Who is this course for?||
If you are interested in applying your data science and machine learning experience in the healthcare industry, then this program is right for you. Additional job titles and backgrounds that could be helpful include Data Scientist, Machine Learning Engineer, AI Specialist, Deep Learning Research Engineer, and AI Scientist. This program is also a good fit for Researchers, Scientists, and Engineers who want to make an impact in the medical field
$399 per month
1. Learn now, pay later with affirm 2. Buy with payments as low as $113 per month at 0% APR 3. Pay monthly using bank, check or debit card.
You can cancel and unenroll within the first 2 days from your first month’s subscription purchase date in order to be eligible for a full refund. Unless you have graduated from the Nanodegree program, single paid course, or Executive Program within this timeframe. Only one refund may be granted per student per Nanodegree program, single paid course, or Executive Program. If you cancel your subscription and subsequently re-enroll for the same program or course, you will not be entitled to an additional 2-day refund period. You may cancel your subscription at any time after this 2-day refund period and you will not be charged again after the billing period in which you cancelled. You will remain actively enrolled in the program until the end of this billing period.