If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis—from wrangling data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.
Autores populares
Icon Group International (285) Publishing lmgdaw (262) Nikolay Krechet (164) Kennie B Journals (112) Riddler Books (98) Charles Nehme (95) webmarbook design (95) Mint and Cherry Notebooks (79) Iwona Makara (76) Mary Hirose (75) NAK Legal Publishing (74) Jillo Trukudo (73) Just Visualize It (69) Quick Witted Coconut (67) Talor Press (67) matlasor Sticker's (64) Miller Sye (63) Moonpeak Library (63) Ondrej Sarek (63) Roggie Clark (63)