AI Copilot in Excel helps clean dates, split columns, and add currency formats, so you save time and make faster, clearer decisions.

I've written a lot about data analysis with Python recently. I wanted to explain why it's been a language of choice. Here are some of the reasons I find Python so easy to use, yet powerful. Python ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

Data science is often cited as one of the main reasons for Python's growing popularity. But while people are definitely using Python for data analysis and machine learning, not many of those using ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

Overview: Data analyst certifications help convert theoretical knowledge into job-ready skills.Different certifications suit ...

Python* has become one of the most popular programming languages in use today. Easy to learn, with vast open source packages and libraries, Python applications have found their way into just about ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

This article was originally published on .cult by Nate Rosidi. .cult is a Berlin-based community platform for developers. We write about all things career-related, make original documentaries and ...