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 ...

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 ...

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 ...

Python has become the go-to language for data analysis, offering powerful libraries like pandas, NumPy, and Matplotlib to turn raw data into actionable insights. From cleaning and transforming ...

Coursera has introduced a beginner-friendly specialization focused on Python’s NumPy and Pandas libraries, aimed at equipping learners with practical skills in data cleaning, transformation, and ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...