Cursos disponibles

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.

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.

Aim of Course:

This course will show you how to use R to create statistical models and use them to analyze data.

Aim of Course:

The aim of this course is to teach R Programming to those with little or no programming knowledge or experience.

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.

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.

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.

Aim of Course:

Learn how to extract data from databases using SQL, and filter and sort it to answer queries.