Course Features
Duration
9 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Instructor Paced
Course Description
Course Overview
Live Class
Human Interaction
Personlized Teaching
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
There are no formal prerequisites, but we recommend that you have prior knowledge of basic mathematical concepts and computer programming Math: Calculus and Linear Algebra Programming: Python and R Programming If you do not have this knowledge already, we
What You Will Learn
Data Mining Foundations and Practice Specialization - Data Mining Pipeline (1-credit)
Data Science Foundations: Statistical Inference Specialization - Probability Theory: Foundation for Data Science (1-credit)
Data Science Foundations: Statistical Inference Specialization - Statistical Inference for Estimation in Data Science (1-credit)
Data Science Foundations: Statistical Inference Specialization - Statistical Inference and Hypothesis Testing in Data Science Applications (1-credit)
Introduction to Statistical Learning for Data Science Specialization - Statistical Learning for Data Science: Regression and Classification (1-credit)
Introduction to Statistical Learning for Data Science Specialization - Statistical Learning for Data Science: Resampling, Selection, and Splines (1-credit)
Introduction to Statistical Learning for Data Science Specialization - Statistical Learning for Data Science: Trees, SVM and Unsupervised Learning (1-credit)
Machine Learning Specialization - Introduction to Machine Learning: Supervised Learning (1-credit)
Machine Learning Specialization - Unsupervised Algorithms in Machine Learning (1-credit)
Machine Learning Specialization - Introduction to Deep Learning (1-credit)
Statistical Modeling for Data Science Specialization - Modern Regression Analysis in R (1-credit)
Statistical Modeling for Data Science Specialization - ANOVA and Experimental Design (1-credit)
Statistical Modeling for Data Science Specialization - Generalized Linear Models and Nonparametric Regression (1-credit)
Course Content
Course Instructors
Anne Dougherty
Senior Instructor & University of Colorado Teaching Professor • Associate Department Chair • Undergraduate Studies Chair, Applied Mathematics