- Linear Model
- R Programming
- Statistical Model
- and probability theory.
- Linear Algebra
Statistical Modeling for Data Science Applications Specialization
Build Your Statistical Skills for Data Science. Master the Statistics Necessary for Data Science
What you will learn
Correctly analyze and apply tools of regression analysis to model relationship between variables and make predictions given a set of input variables.
Successfully conduct experiments based on best practices in experimental design.
Use advanced statistical modeling techniques, such as generalized linear and additive models, to model wide range of real-world relationships.
Skills you will gain
About this Specialization
Applied Learning Project
Learners will master the application and implementation of statistical models through auto-graded and peer reviewed Jupyter Notebook assignments. In these assignments, learners will use real-world data and advanced statistical modeling techniques to answer important scientific and business questions.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 3 Courses in this Specialization
Start working towards your Master's degree
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