Link to the ebook : https://bibliotheque.univ-catholille.fr/Default/doc/nlebk/26...

eISBN : 978-3-030-49720-0

Contents :
Part I: Basics of Python
Chapter 1: Welcome to Python
Chapter 2: The Python Language

Part II Fundamentals of Data Analysis
Chapter 3: Describing Data
Chapter 4: Relationships Between Continuous Variables
Chapter 5: Comparing Groups: Tables and Visualizations
Chapter 6: Comparing Groups: Statistical Tests
Chapter 7: Identifying Drivers of Outcomes: Linear Models
Chapter 8: Additional Linear Modeling Topics

Part III Advanced data analysis
Chapter 9: Reducing Data Complexity
Chapter 10: Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations
Chapter 11: Classification: Assigning observations to known categories
Chapter 12: Conclusion

Index.

Language : English

Location : Nice Library

Material : Electronic

Statement : Présent

Owner : Bibliothèque