A Conversation with Bloomberg’s Stefanie Molin about her new book on Data Science, Python and Pandas
What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...
In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...
This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...
When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...
How-To Geek on MSN
Your Excel regression is probably a mess—here's how Python fixes it
Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
TLDR: The 2021 Business Intelligence and Data Science Super Bundle offers six courses that make data analysis, machine learning and cutting edge science more accessible than ever. In case you thought ...
How-To Geek on MSN
These 7 Python libraries are useful even if you're not a developer
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
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