TOP 10 DATA SCIENCE COURSES IN VANCOUVER, CANADA - PAGE 3

This four-course program is designed to provide a practical understanding of AI and help students develop critical skills in AI literacy.

The major topics include how to use SAS, SAS steps, SAS datasets, SAS statements, SAS functions, and how to combine datasets. The objective of this course is to train students to develop basic SAS programs independently

In the first part of this machine learning course, students get started in machine learning by implementing powerful supervised learning algorithms in Python using its allied packages, providing limited theoretical concepts and practical awareness of important learning algorithms.

This Data Science and Application program equips students with knowledge in data analytics, statistics, and the skills needed as a data analyst or data scientist.

This Data Mining and Advanced Statistical Modeling course will give students deep understanding of the methods in data mining and predictive analytics.

In the first part of this Big Data Analytics course, students get started in machine learning by implementing powerful supervised learning algorithms in Python using its allied packages, providing limited theoretical concepts and practical awareness of important learning algorithms.

This Tableau course is designed to provide students with practical knowledge and skills in creating dashboards from a database.

Power BI is revolutionizing the way organizations analyze data, make data-driven decisions, and communicate insights effectively. Whether you are a business analyst, data professional, or anyone interested in leveraging data for better decision-making.

Delve further into Power Query to ETL (Extract, Transform and Load) your data. Build the Data Model using modeling features and relationships. Perform calculations using DAX (Data Analysis Expressions) functions.

Power BI is part of Microsoft's Power Platform products, that allow users to analyze their data and gain foresight that can help them make sound, well informed decisions for their organization.