This learning path teaches education partners how to implement School Data Sync (SDS) for their education customers. Completion of this learning path and separate assessment are required for the Partner Success Series SDS Advanced badge.

This learning path teaches education partners more advanced features in School Data Sync (SDS) for their education customers. Completion of this learning path and separate assessment are required for the Partner Success Series SDS Professional badge.

Learn how to build and evaluate machine learning models using scikit-learn, from data preprocessing to model selection and evaluation.

Learn how to build and evaluate machine learning models using scikit-learn, from data preprocessing to model selection and evaluation.

Risk and Security programs require the determination of the boundaries of an Information System. This course will teach you the skills needed to determine the scope of the Information System needed for the Certified in Governance, Risk and Compliance exam.

Learn to use event storming as a scoping technique to identify microservices within your software model, as well as the contracts between them. You will also learn how to progress the event storming model into an organized set of .NET applications.

Learn problem solving methods every developer should know and get a breakdown of mentorship vs sponsorship.

Go from saying hello to Selenium to combining it with Python and Beautiful Soup to extract information from a dynamic web page. Master WebDriver navigation, user activity recording, and more while creating a real estate web scraper in this course.

Scraping web media is different from scraping text-based data and can be complex. In this course, you'll learn the skills and gain the knowledge that will allow you to confidently acquire web media yourself.

R is a widely used programming language for statistical computing. This course will teach you the fundamentals of scraping data from the web with R.

This course covers the important tools for retrieving web content using HTTP libraries such as Requests, Httplib2 and Urllib, as well as powerful technologies for web parsing. These include Beautiful Soup, which is a popular library, and Scrapy, which is a powerful, production-grade framework.

In this course, you will gain the ability to scrape web pages for data with the R programming language. You'll learn about the web scraping workflow along with Rvest, which is a web scraping package for R.