Editing UW Statistics Courses
From CommunityData
Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 68: | Line 68: | ||
== | == Data Science Mangement == | ||
IMT 573 Data Science I. is focused on the theoretical foundations of data science and provides a nontechnical overivew of the key concepts and skills required for data science. It introduces common data science pipelines, data collection and storage, basic analytics, meachine learning and data visualization with industry standard statistical packages. Β | IMT 573 Data Science I. is focused on the theoretical foundations of data science and provides a nontechnical overivew of the key concepts and skills required for data science. It introduces common data science pipelines, data collection and storage, basic analytics, meachine learning and data visualization with industry standard statistical packages. Β |