TOP 10 BIG DATA ANALYTICS COURSES IN CANADA - PAGE 4

Start by learning how to acquire data, transform the data, create data models, visualize data, and share assets in Power BI. You will then learn advanced Power BI skills, including the management of data repositories and data processing in the cloud and on-premises.

In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.

This artificial intelligence course will help you learn AI and big data concepts such as digital learning, the reign of the algorithm, smart data, data lakes, and many more.

Microsoft Power BI is the best data visualization and publishing tool (business intelligence - BI). To this tool we add the most effective and popular language: Python, in its Anaconda ecosystem.

This 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.

Power BI is an incredible business intelligence tool that allows you to interact with and visualize your data. Our Power BI training includes three courses.

The big data course teaches aspiring data engineers how to scale ETL pipelines using Spark in the Azure cloud. According to the job market report published by WeCloudData, engineers with big data skills earn higher average salary.

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.

Big Data for Data Scientists is a 6-week project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem.

The Introduction to Power BI module introduces learners to the typical BI process. We will cover data flow, data preparation, the basics of ETL, dashboard design, and visual storytelling. Students will follow the instructor to build visualization from the get-go.