TOP 10 DATA SCIENCE COURSES IN CANADA

Microsoft’s Power BI helps you to easily analyze, visualize, and collaborate on data from multiple sources.  This course is ideal for anyone who works with data, creates reports and provides insights for data-driven decision making.  

This two-day course provides students with the knowledge and skills to analyze data with Power BI.

This course will focus on job-oriented technical skills. Learning modelling techniques and how to populate these data models, using Extract, Transform and Load (ELT) Technologies.

This course explores business analytics techniques to formulate and solve business problems and to support managerial decision making. Students will learn how to use and apply Excel and Excel add-ins to solve business problems.

In this 10-hour self directed course, you will learn about data visualization, why it is important and how it can be used to present complex data in a meaningful and easily digestible format.

This two-day course provides students with the knowledge and skills to analyze data with Power BI. Prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality; Familiarity with Microsoft Office applications – particularly Excel.

Artificial Intelligence has continued to become more and more sophisticated from social media to search engines to auto correct, we have made a lot of progress in behaviour prediction.

Discovering Artificial Intelligence (AI) within Computer Generated Imaging (CGI). Understanding the theoretical aspects and the ongoing research. Integrating AI into daily creative work, visual creations, architecture, design and art. Exploring the AI ??universe.

The term AI (artificial intelligence) seems to be part of every product or service description today. This course will define AI and its impact on accounting and workflow in today’s modern office.

This course is designed for experienced programmers and those with a solid working knowledge of computing technology looking to gain the skills needed to successfully use these key libraries to extract useful insights from data, and as a result, provide great value to the business.