Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

I'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

Indian Institute of Technology (IIT) Delhi is partnering with Simplilearn, a leading global digital upskilling platform, and ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

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 ...

Python, a versatile and user-friendly programming language, has gained immense popularity for its simplicity and power. Its extensive libraries and frameworks have paved the way for innovative ...

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, ...

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 ...