Statistics Graduate Program offered by Stanford University
- Private University
- 8180 acre campus
- Estd. 1885
Statistics Graduate Program at Stanford University Overview
Statistics Graduate Program
at Stanford University
Learn how to use statistical methods to extract meaning from large datasets
Duration | 12 months |
Total fee | ₹4.29 Lakh |
Mode of learning | Online |
Course Level | PG Certificate |
Statistics Graduate Program at Stanford University Highlights
Statistics Graduate Program
at Stanford University
- Earn a certificate of completion from Stanford University
Statistics Graduate Program at Stanford University Course details
Statistics Graduate Program
at Stanford University
Skills you will learn
Who should do this course?
- For Strategy managers
- For Scientific researchers
- For Medical researchers
- For Social sciences researchers
- For Data analysts and consultants
- For advertising and marketing professionals
What are the course deliverables?
- How to develop and use predictive models and analytics
- How to understand and use strategic decision-making applications
More about this course
- This program will gain an advanced skill set that can be applied to nearly all branches of science and technology
- Statistical methods are used to analyze experiment results, test significance, and display results accordingly
- Statistics can also be vital to making informed business decisions, particularly in times of uncertainty, by helping forecast seasonal, cyclic, and general economic fluctuations
- Increase your understanding of this mathematical science and develop the tools and know-how to collect, analyze, interpret, and present data
- You can begin your program any academic quarter that an applicable course is offered, subject to prerequisites, and tailor the program to your interests and career goals
Statistics Graduate Program at Stanford University Curriculum
Statistics Graduate Program
at Stanford University
Courses (complete 4)
Statistical Methods in Engineering and the Physical Sciences
Theory of Probability
Introduction to Applied Statistics
Introduction to Statistical Inference
Data Mining and Analysis
Introduction to Regression Models and Analysis of Variance
Introduction to Regression Models and Analysis of Variance
Machine Learning Theory
Introduction to Statistical Learning
Introduction to Statistical Learning
Introduction to Stochastic Processes I
Bayesian Statistics
Modern Applied Statistics: Learning II
Statistics Graduate Program at Stanford University Entry Requirements
Statistics Graduate Program
at Stanford University
Other courses offered by Stanford University
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Statistics Graduate Program at Stanford University Contact Information
Statistics Graduate Program
at Stanford University