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.

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.

The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and ...

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

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Overall, the choice between VBA and Python for Excel automation depends on your specific needs. Even though it's outdated, ...

Excel has been the go-to tool for data manipulation and analysis for years. However, Python, with its powerful libraries and scripting capabilities, is emerging as a strong contender. If you are ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Key Takeaways Interviews for data analysts test technical and business understanding.Practicing real examples helps you ...

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.