Subjects
Technology
3D AI Algorithms Artificial Intelligence Big Data Blockchain Computer Networking Computer Science Computer Security Computer Vision Cryptography Cyber Security Data Analysis Data Mining Data Science Deep Learning Machine Learning Neural Networks Programming Software Engineering Web Development
Science
Anatomy Astrobiology Astronomy Biochemistry Biology Chemistry Epidemiology Genetics Geology Neuroscience Physics Physiology
Business
Accounting Business Development Business Strategy Economics Entrepreneurship Finance Marketing Operations Management Project Management
Humanities
Ancient History Anthropology Art History Ethics Gender Studies History Literature Philosophy Psychology Sociology
Health & Medicine
Clinical Trials Health Education Healthcare Nursing Nutrition Public Health
Law
Contract Law Corporate Law International Law Labor Law
Education
Curriculum Development E-Learning Educational Technology Higher Education Instructional Design Special Education
Arts & Design
Architecture Art & Design Fashion Design Graphic Design Interior Design UX/UI Design
Other
Environmental Science Ethnic Studies Music Theory Political Science Religious Studies

Introduction to Quantitative Methods for Economics and Finance | Harvard University

Introduction to Quantitative Methods for Economics and Finance | Harvard University

This course is a rigorous introduction to quantitative methods for students intending to study economics, finance, accounting, marketing, and management science. Examples are drawn from these areas. Topics covered include probability distributions, statistical inference, multiple linear regression, logistic regression, optimization, and machine learning. This course focuses on applications illustrating concepts with datasets. The statistical programming language, R, is completely integrated into the course.

Course Page
Price
$3,220
Delivery
Online
Date
January 23 - May 11, 2024
Level
Introductory
Credit
Degree Credit
Language
English