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 book shows how to use Python libraries to get, clean, prepare, and analyze data at a professional level. Scott McCoy starts by showing how to use Pandas for data analysis and Seaborn for data ...

The world of data science is awash in open source: PyTorch, TensorFlow, Python, R, and much more. But the most widely used tool in data science isn’t open source, and it’s usually not even considered ...

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 ...

Boston University’s online MS in Data Science prepares you to build the data science behind AI. Designed for professionals who want to turn data into insight and intelligent action, the program ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...