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Courses listing

 Introductory Statistics
Credit
Learn about data exploration, display, and gathering; probability; statistical methods; and how to use statistical tools.
School of Continuing Education and Summer Sessions, ILR School
$
Closeup of several fruits, vegetables, and nuts
Credit
Examine the role that nutrition, exercise, and other health behaviors play in maintaining good health.
School of Continuing Education and Summer Sessions, College of Human Ecology
$
An electronic spreadsheet
Credit
This course covers the theory behind decision making and applying analytic tools.
College of Agriculture and Life Sciences
$
Ankylosaur
Credit
Examine fossil evidence and explore how some geological and biological disciplines contribute to our knowledge of dinosaurs.
School of Continuing Education and Summer Sessions, College of Engineering
$
Row of pencils of various hits with a chart line over the tops
Credit
Apply accounting concepts to understand decision making and control, costing, cost behavior, cost allocation, and budgeting.
School of Continuing Education and Summer Sessions, College of Agriculture and Life Sciences
$
A Cornell student
Credit
Become acquainted with the major theories and research paradigms of modern personality psychology.
School of Continuing Education and Summer Sessions, College of Human Ecology
$
Hand with a pen and calculator
Credit
Gain a basic understanding of financial accounting concepts and techniques.
School of Continuing Education and Summer Sessions, College of Agriculture and Life Sciences
$
Engineering Communications
Credit
Prepare for important communication activities, from proposals and progress reports to oral presentations.
School of Continuing Education and Summer Sessions, College of Engineering
$
VBA Programming for Non-Dyson Majors
Credit
Introduction to programming with Excel Visual Basic for Applications (VBA) for students aiming to enter the world of business
College of Business, School of Continuing Education and Summer Sessions
$
Deep Learning
Credit
Basics of artificial neural networks for pharmaceutical discovery, process control, molecular design, and other applications.
School of Continuing Education and Summer Sessions, College of Engineering
$