Are you looking for Big Data Analytics courses in Canada? Here are the Top 10 Big Data Analytics training in Canada. The course fee for Big Data Analytics training in Canada ranges from $150 for a 10-hour Data Visualization Basics course, up to $11690 for a 2-year IT Data Analytics course.
You’ll learn how to implement solutions using the Power Query, PowerPivot, PowerView, Power Map, Power BI, Power BI Desktop, and Excel Services for SharePoint.
In this Tableau Boot Camp class, we will learn how we can leverage the power of visualization. We will explore data visualization and how we can use it to better understand data using Tableau.
This course is a survey of big data – the landscape, the technology behind it, business drivers and strategic possibilities. “Big data” is a hot buzzword, but most organizations are struggling to put it to practical use.
This course offers practical implementation of Big Data on various frameworks, such as Hadoop, Hive, Pig, Spark, Scala, etc.
Our Data Analytics Course is designed to provide practical learning and implementation of all the end-to-end lifecycles of a data analytics project.
Our Data Analytics Course is designed to provide practical learning and implementation of all the end-to-end lifecycles of a data analytics project.
This Microsoft certified course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
Onsite, instructor-led live Big Data training courses start with an introduction to elemental concepts of Big Data, then progress into the programming languages and methodologies used to perform Data Analysis.
The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations and publishing the visualizations
This course is appropriate for developers who already know Java and Android or those wishing to learn the Kotlin language. This course does not teach Android development fundamentals, focusing rather on the Kotlin language.
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