Math for Data Science at Northwestern University Overview
Math for Data Science
at Northwestern University
Analyze data using a variety of mathematical and statistical methods
Total fee | ₹1.62 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Math for Data Science
Table of contents
Math for Data Science at Northwestern University Highlights
Math for Data Science
at Northwestern University
- Earn a certificate of completion from Northwestern University
Math for Data Science at Northwestern University Course details
Math for Data Science
at Northwestern University
Skills you will learn
What are the course deliverables?
- Apply mathematical concepts to real-world research and business situations
- Demonstrate quantitative reasoning skills to solve complex problems
More about this course
- This program is designed to strengthen their quantitative background for graduate school or to enhance their data analysis skills for their careers
- Consisting of courses in applied mathematics, statistics, and calculus, the program provides students with a quantitative foundation for data analysis'a critical skillset that is applicable to a wide range of industries
Math for Data Science at Northwestern University Curriculum
Math for Data Science
at Northwestern University
Required Courses (Choose 4)
Finite Mathematics
Single-Variable Differential Calculus
Single-Variable Differential Calculus
Single-Variable Integral Calculus
Linear Algebra
Introduction to Statistics
Introduction to Statistics
Math for Data Science at Northwestern University Entry Requirements
Math for Data Science
at Northwestern University
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Education: Graduate
Other courses offered by Northwestern University
4 years
4 years
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at Northwestern University
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Math for Data Science at Northwestern University Contact Information
Math for Data Science
at Northwestern University
Address
633 Clark Street, Evanston, Illinois-60208, USA
Evanston ( Illinois)
Phone
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