Reshaping wide data makes it easier to use familiar Excel tools like PivotTables and charts.

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Handling table data in PDFs is a common scenario. Whether it is quarterly reports, statements, or business ledgers, PDFs are ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

This is a free and self-paced course by the IBM Developer Skills Network Team that demonstrates the principles of Data Visualization, with Python of course. On Coursera, it forms part of two IBM ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Python web scraping is demonstrated by extracting a real Wikipedia table containing the largest United States companies by ...

When it comes to spreadsheets, no software has outshone Microsoft's Excel. Since its debut in 1987, Excel has reigned supreme as a workplace staple, maintaining its status as the king of spreadsheets.

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

Python and statistics still sit at the center of data science, but the work surrounding them has expanded. Professionals now move from cleaning data and testing hypotheses into predictive modeling, ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...