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

The NLP and LLM short course is designed for data scientists and software engineers who want to become specialists in natural language processing.

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.

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 machine learning course is the perfect one for data analysts, junior data scientist, and python engineers who want to develop ML project experience, learn various industry use cases, and become a data scientist.

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.

All classes offered by Infoventure Technologies Inc. are thoroughly reviewed to ensure quality and consistency and provided by industry expert instructors. We are confident that you will pass your certification exam after successfully completing your training.

This course is a survey of big data – the landscape, the technology behind it, business drivers and strategic possibilities. “Big data” is a hot buzzword, but most organizations are struggling to put it to practical use.

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.