Learn to retrieve and parse information from the internet using the Python library scrapy.

Learn how to efficiently collect and download data from any website using R.

During this session, Alice Zhao will share anecdotes that have led to some surprising findings.

In this session, we will discuss how recipe kit delivery company Gousto is using Data Science to offer meaningful choice to our customers.

This session will explore fears around the use of data and how strategic data governance can give people the confidence to be curious and explore data.

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

Designing reports for enterprise scale requires more than just connecting to data. Understanding semantic models and strategies for scalability and optimization are key to a successful enterprise implementation. This learning path helps you prepare for the Fabric Analytics Engineer Certification.

Learn how to manipulate and visualize categorical data using pandas and seaborn.

This course introduces key concepts to proficiently work with data - data cleaning, preprocessing, manipulation, transformation, and core concepts of data visualization and interpretation. You'll also work through examples with a provided dataset.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Learn how to use advanced Transact-SQL features to fetch and transform data in your databases.