This book introduces the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. John M. Shea uses a computational-first ...

This book provides a hands-on introduction to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and activities. Yuli Vasiliev shows how to write Python ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results. Python has earned a name as a go-to ...

Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...

Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models and more. A career in data science involves using statistical, computational and ...