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Why I Prefer Python for Data Analysis
Python makes calculations quick, easy, and graphical.
What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...
Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...
In recent years, high inflation and global conflict busted economist predictions. How well are your funds or portfolios prepared to weather market surprises? Scenario analysis can help portfolio ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...
In my last article, we analyzed our backlinks using data from Ahrefs. This time around, we’re including the competitor backlinks in our analysis using the same Ahrefs data source for comparison. Like ...
Backlink analysis can be done on a spreadsheet but Python has certain advantages. Learn how to use it and customize reports with this script. Chances are, you’ve used one of the more popular tools ...
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