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 ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of ...

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 and procedures used for data analysis. After completing this course you will have ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

Key Takeaways Leading platforms like Coursera, edX, and Udacity offer structured and flexible learning paths in data ...

Python’s mathematical and statistical capabilities make it invaluable to data scientists. Built-in operators allow users to perform basic mathematical operations, and libraries such as NumPy, SciPy, ...

You don’t need to go back to college full-time to land a job in data science. These 15 professional development courses are designed to accelerate your data science candidate.