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.

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.

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

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 ...

Sisense, the leading AI-driven platform for infusing analytics everywhere, today announced Sisense Notebooks, a new code-first functionality within Si ...

Python Integration in Excel TL;DR Key Takeaways : Integrating Python into Excel enhances data analysis by combining Excel’s accessibility with Python’s advanced analytical and visualization tools.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Advanced data visualization techniques are crucial in the constantly changing field of business analytics for making sense of enormous and complex datasets.

Microsoft MSFT introduces Python support in Excel, enabling advanced data analysis, The Verge reports. The integration is accessible directly from the Excel ribbon, eliminating the need for ...

IIMK’s Advanced Data Analytics programme equips professionals with cutting-edge analytical skills, practical experience and networking opportunities.