In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud.

Come to this practical session and learn how to talk to Elasticsearch from a Jupyter notebook and quickly explore datasets with Kibana’s visualisations and maps.

This course explores Excel PivotTables, explaining how they are used to summarize and analyze data. The course shows you how to create, modify, and configure PivotTables to take your raw data and turn it into useful and insightful information.

This course is about graph data structures in Elixir, build models, query databases, and transform data for distributed and scalable applications.

The course introduces data professionals and Python developers to Web Scraping with Python. Much data is “trapped” in web pages and this course starts you down the path on how to liberate the data for your data science projects.

Copilot in Power BI uses Generative AI to simplify data visualization and create reports, making Power BI more insightful and accessible.

This course covers the important aspects of scraping websites using Beautiful Soup. You will learn to build, manipulate and traverse the parse tree, as well as to leverage advanced features such as working with filters, CSS and XPath.

Learn how to use rvest and other R tools to create your own original datasets from publicly available web content.

Databricks SQL provides a unified interface to create and run SQL queries, and then visualize the results using a variety of built-in charts. This course explores how these can be combined with dashboards to extract useful insights from data.

Once you have Power BI reports, you need to provide access. This course will teach you how to secure and manage your reports.

Big Data LDN 2019 | Fast Data for Faster Business | Mark Van de Wiel and Neal Higham

This course will teach you how you can store, access, manage, and share your preprocessed machine learning features using the Databricks Feature Store.