Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

Codebasics is an excellent channel for anyone eager to learn data analysis via projects. The content mostly focuses on using Python, Power BI, SQL, and other tools to build projects based on real ...