Matrix types, data frames, missing-value handling, basic graphics, data-and-time processing, linear models, basic statistics, contingency tables and so on are built-in to base R. The novice can be ...

Pandas - Data Frames. Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating ...

The course starts with introducing what does Data Scientist do in his work and why this job is so important in XXI century. Then we start the technical part of the course. numpy - numbers and vectors, ...

For a data science interview, the six technical concepts I’ve mentioned are a must. Of course, it’s recommended you dive even deeper into Python and broaden your knowledge.

Applied Data Science with Python Specialization - Coursera: Best for intermediate applications. The best course for applying existing Python knowledge to data science.

Applied Data Science with Python Specialization, a Coursera program offered by the University of Michigan, teaches students how to solve data science problems using Python.

It's no wonder, then, that a presenter at the EuroPython show in Dublin tomorrow will share "why VS Code is now the #1 tool for Python Data Scientists according to the 2021 Python Software Foundation ...

Continuum Analytics, makers of a Python distribution called Anaconda preferred by data science users, has released Anaconda Fusion, a system for connecting the enterprise-grade version of Anaconda ...