Machine learning is closely related to artificial intelligence (AI) technology, with the crucial difference being the focus on allowing computers to "learn" information on their own. This Nanodegree teaches you how to combine your mathematical and computer programming skills to create intelligent, self-learning, data-analyzing programs. This field is a logical expansion of computer science, software engineering, and AI.
This course will teach you the skills you need to become a machine learning engineer, software engineer, or data analyst. Work through the learning projects to understand massive data sets and how they influence predictive model programming. Complete each module at your own pace, and practice crucial machine learning techniques such as descriptive statistics analysis, customer segmentation, and recognition programming. Teach a smartcab to drive, create a predictive program that calculates the survival chances of Titanic passengers, and polish up your programming resume to bolster your employment chances at the conclusion of the Nanodegree.
Study 8 hrs/week and complete in 6-8 mo.
Based on US job data
We built this program with expert analysts and leading technology companies to ensure you master the skills needed to meet the requirements of industry.
Our experienced mentor network will return your project within 24 hours, with line-by-line comments and tips to ensure you are mastering the material.
Take advantage of free resume and online profile reviews. You’ll also receive access to our network of hiring partners, and prepare for hiring questions with mock interviews.
Work at your own pace, on your own schedule. You can even pause your subscription for when life gets busy or you need a short break.
Build a portfolio of industry-relevant projects. Upon graduation, you’ll have an array of example work to impress any employer.
Whether you're stuck on a project or confused by a concept in class, our mentors can answer any question in personal 1-on-1 sessions.
"I never thought my set of skills would involve any understanding of technology. I'm now able to apply what I learned directly in my job, and my boss loves me for it!"
Was a Business Consultant at Microcenter
Now a Business Analyst at Tryon Equestrian Partners
"I had a hard time finding a job due to lack of relevant experience. The projects I built in the program helped me build a strong resume, and launch my career."
Was a Student
Now a Data Specialist at Gramener
"I really enjoyed learning different skills related to being a data analyst. Coming from academia, the career-related advice was especially valuable in helping me land a job.
Was an Arabic and Linguistics Professor
Now a Data Analyst at Pilytix
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