List of available Professional Courses in Guelph, Toronto - Page 119. The Professional courses in Guelph are provided by the following institutes: Also, check out all Professional Courses in Toronto.
Modern data scientists need to become familiar with cloud technologies. Most production data science solutions are implemented on private/public cloud. This course teaches the fundamentals of cloud computing for data scientists such as storage and compute.
This module teaches SOTA NLP methods and applications. Students will learn about some of the most exciting new developments in modern NLP, such as Transformers and GPT-3.
This module introduces learners to Python, the most popular data skills, according to the Job Market Report published by WeCloudData.
This module teaches students the necessary software engineering skills for model deployment. Students will learn the basics of web applications, REST APIs, model serving, and inference.
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.
Data collection and extraction is the first step in most of the data science projects. Learners will learn how to extract data from the web and databases using Python in this module.
The need for DevOps skills has always been there, and the rise in agile software delivery has accelerated the need for a paradigm shift within the world of IT operations.
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.
???????This module teaches students the DevOps part of MLOps and ML Engineering. Students will learn the basics of data version control, CI/CD, infrastructure scaling, and infrastructure automation.
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