4253 Processing Online Data - 2020

Issued by GAIn® - The Global AI network

The use of online data has revolutionized business; allowing for easier data collection, data that is more representative, and data, therefore, that provides more accurate insights. This two-day course provides a thorough investigation into all areas of the topic. Once completed, you will be able to integrate fast- and slow-moving data into one optimal model. Challenging you to design and build a data model and pipeline, that is flexible and reliable, to generate added value.

Skills

Earning Criteria

Determine the optimal architecture for processing online data – Explain the methods and challenges of extracting different types of online data and decide on the optimal architecture for your case.
Apply web scraping and crawling – Scrape and crawl data from both SSR and CSR websites and explain the legality of scraping and crawling.
Use external APIs for collecting data – Apply existing skills to gather external (website) data through APIs.
Assess data from your digital channels – Identify the different types of data sources, set requirements, and assess the quality and usability in the context of end-2-end AI solutions.
Integrate fast- and slow-moving data – In a single flexible and reliable data model to generate added value from this integration.
Exam.