This course offers a practical introduction to the interdisciplinary field of data science and machine learning, which exist at the intersection of computer science, statistics, and business. Students learn to use the programming language to help acquire, parse, and model data. A significant portion of the course will involve hands-on training in fundamental modeling techniques and machine learning algorithms to build robust predictive models of realworld data and test their validity.
Financial information
Total tuition
$0.00
Total required fees
$0.00
Books and supplies
$0.00
Locations
New York
Instructional methods
Online, E-learning, or Distance Learning
Is this program offered on evenings and weekends?
No
Additional details
Award name
Certificate
Education Prerequisites
None
Prerequisite courses and other requirements
N/A
Is this program approved to train veterans?
No
Program languages
English
Certification/license obtained as part of training program
N/A
Certification/license test preparation provided
Employment performance results
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
Top industries for graduates
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
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