basic statistics, contingency tables and so on are built-in to base R. The novice can be doing simple data analyses with these tools within minutes. Generally an R data science function will be richer ...

Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data ...

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods ... You will take a hands-on approach to statistical analysis using Python and ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and ... Rvest will allow you to perform basic web scraping, while ...

At this point, you should have a good understanding of the underlying statistics ... Python is vast. There are courses called “X Essential Training” for just about any topic X in the Python ecosystem ...

Why is Python so important to data science today ... Built-in operators allow users to perform basic mathematical operations, and libraries such as NumPy, SciPy, and statistics provide a wealth of ...

A new offering from the creator of a Python distribution for data science uses Microsoft Excel as a front end for Jupyter notebooks and other data-centric apps Some of the most creative uses for ...