Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

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 ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...

Python proves popular once again. Discover the best programming languages to learn for high-demand jobs in 2025. Developers who want to push ahead in their profession will want to choose a programming ...

Image by author created from Jupiter photo by NASA and Pandas photo by Pascal Müller on Unsplash I started a self-study path to learn the theoretical fundamentals of Data Science and Machine Learning.

I started a self-study path to learn the theoretical fundamentals of Data Science and Machine Learning. I have also been playing with Python ever since, with coding exercises during the “Friday 10% ...

In the fast-paced data science domain, one is expected to have a good mastery of data processing to get by. Data processing, in general, touches on the preparation, transformation, and organization of ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...