TOP 10 DATA SCIENCE COURSES IN TORONTO, CANADA - PAGE 4

With the explosion of big data, businesses recognize there is a greater need to employ someone who is qualified to correctly analyze the data. In this module, we explore the qualifications for the data analyst as well as the analytic tools associated with the position

Fortunately, today’s data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis.

In this workshop, GenAI experts will guide participants through a strategic understanding of AI and an examination of their business operations and goals, highlighting specific AI business cases and their potential to enhance revenue and reduce costs.

You will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through hands-on activities.

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 Artificial Intelligence (AI) training courses demonstrate through hands-on practice how to implement AI solutions for solving real-world problems.

Onsite, instructor-led live Data Science training courses demonstrate through hands-on practice how to extract knowledge from data in different forms.

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.

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.

In this course, students are introduced to the foundations of report writing with Microsoft SQL Server Report Designer and SSRS 2014.