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

Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally.

This repository accompanies Advanced Data Analytics Using Python by Sayan Mukhopadhyay (Apress, 2018). Download the files as a zip using the green button, or clone the repository to your machine using ...

The Ecommerce Sentiment Analysis and Review Processing project is an advanced data analytics system that leverages Python and SQL to extract valuable insights from customer reviews and sentiments on ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

With vast amounts of data, asset managers need sophisticated data analytics to derive insights. Here’s how to build a business case for advanced use cases.

What is data analytics? What really delivers value from all the big data organizations are gathering is the analytics applied to the data. Without analytics, which involves examining the data to ...

Amid mounting digital transformation pressures, the top two categories for increased IT spending in 2019 are cloud computing—and on-premises data analytics, according to a recent Morgan Stanley ...

If you’re decent in Python (or aspire to be) but don’t have the chops for advanced data work in Excel, Microsoft now offers the kind of peanut butter-and-chocolate combination that you may ...

Use Python libraries—developed for Python users of all experience levels—to clean up, explore, and analyze data within the familiar, secure Excel environment. No need to install anything. Seamlessly ...