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Available courses
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Kuber Deokar
- Teacher: Cliff Ragsdale
Aim of Course:
This course will show you how to use R to create statistical models and use them to analyze data.
- Teacher: Karolis Urbonas
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:
This course covers key unsupervised learning techniques: association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques.
- Teacher: Anthony Babinec
Aim of Course:
In this online course, “Predictive Analytics 1 - Machine Learning Tools -
with R,” you will be introduced to the basic concepts in predictive
analytics, also called predictive modeling, the most prevalent form of
data mining. This course covers the two core paradigms that account for
most business applications of predictive modeling: classification and
prediction. In both cases, predictive modeling takes data where a
variable of interest (a target variable) is known and develops a model
that relates this variable to a series of predictor variables, also
called features. In classification, the target variable is categorical
("purchased something" vs. "has not purchased anything").
Aim of Course:
In this online course, “Predictive Analytics 1 - Machine Learning Tools -
with Python,” you will be introduced to the basic concepts in
predictive analytics, also called predictive modeling, the most
prevalent form of data mining.
- Teacher: Peter Gedeck
Aim of Course:
This course will introduce you to the basic concepts in predictive analytics, also called predictive modeling, the most prevalent form of data mining.
- Teacher: Anthony Babinec
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:
In this online course, “R Programming Intro 1,” you will be introduced
to basic concepts in computer programming via R - it is for those who
have had little or no experience in programming.
- Teacher: Tal Galili