Courses

We found 7 courses available for you
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Free

Mulesoft

Intermediate

Mulesoft …

Free

Devops With AWS

Intermediate

Getting Started – DevOpsConcepts, Tools, and Technologies: Understanding the DevOps …

Free

Salesforce

Intermediate

Salesforce Admin 1. Fundamentals of Salesforce 2. Profile and Policies …

Free

Powerbi

18.8 hours
All Levels

Powerbi …

What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
Free

Java Selenum

18.8 hours
All Levels

Java Selenum …

What you'll learn
Knowledge on selenum
Free

Full Stack Java

18.8 hours
All Levels

Full Stack Python …

What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
Free

Full Stack Python

18.8 hours
All Levels

Full Stack Python …

What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
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