TOP 10 DATA VISUALIZATION COURSES IN CANADA

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.

Demand for data analysis and visualization skills are rapidly increasing across all industries. Boost your career with our range of courses covering IBM SPSS, Excel and more.

Learn to analyze data with our data analytics course for beginners. Through hands-on training, you'll gain a foundational understanding of in-demand data tools and the confidence to apply them in your everyday work.

From data collection to data visualization, get all the technical and business skills to launch a thriving career as a Data Analyst.

This program equips you with the fundamental knowledge of applied data science, the analytics process, analytics problem framing, data preparation, visualization, and predictive modelling.

Whether you want to land a job in data science or data analytics, become a data engineer, or get prepared for WeCloudData’s data bootcamps, SQL, Python, and basic data visualization skills are essential.

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

Our Data Analytics Course is designed to provide practical learning and implementation of all the end-to-end lifecycles of a data analytics project.

The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.

SETC Montreal-Ottawa Training's Data Analytics & Metrics courses teach you how to analyze your data so that it becomes useful information. Using Excel, you will learn how to use advanced functions and techniques to analyze numerical and textual data.