Statistics.com LMS
Available courses
Aim of Course:
Aim of Course:
- Teacher: Saul Yeaton
Aim of Course:
This course will teach you how to build and monitor a machine learning pipeline, given a predictive model that has been provided by a data science team.
- Teacher: Peter Bruce
- Teacher: Mike Thurber
- Teacher: Saul Yeaton
Aim of Course:
This course will teach users how to implement spatial statistical analysis procedures using R software. Topics covered include point pattern analysis, identifying clusters, measures of spatial association, geographically weighted regression and surface processing.
- Teacher: David Unwin
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Madhuri Maddipatla
Aim of Course:
The aim of this course is to teach R Programming to those with little or no programming knowledge or experience.
- Teacher: Dipanjan Sarkar
Aim of Course:
This course covers how to apply linear programming to complex systems to make better decisions – decisions that increase revenue, decrease costs, or improve efficiency of operations.
- Teacher: Cliff Ragsdale
Aim of Course:
This course continues the work of Predictive Analytics 1, and introduces
you to additional techniques in predictive analytics, also called
predictive modeling, the most prevalent form of data mining.
- Teacher: Inbal Yahav
Aim of Course:
This course continues the work of Predictive Analytics 1, and introduces
you to additional techniques in predictive analytics, also called
predictive modeling, the most prevalent form of data mining.
- Teacher: Peter Gedeck
Aim of Course:
- Teacher: Ben Baumer