Li Essential Statistics for Non-STEM Data Analysts

Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
1. Auflage 2020
ISBN: 978-1-83898-756-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 392 Seiten

No detailed description available for "Essential Statistics for Non-STEM Data Analysts".

Autoren/Hrsg.

Li, Rongpeng

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Fundamentals of Data Collection, Cleaning and Preprocessing
- Essential Statistics for Data Assessment
- Visualization with Statistical Graphs
- Sampling and Inferential Statistics
- Common Probability Distributions
- Parametric Estimation
- Statistical Hypothesis Testing
- Statistics for Regression
- Statistics for Classification
- Statistics for Tree-based Methods
- Statistics for Ensemble Method
- A Collection of Best Practices
- Exercises and Projects

Über Autor(innen)

Li Rongpeng:

Rongpeng Li is a Research Programmer at the Information Science Institute, University of Southern California. He has also been the host and organizer of the Data Analysis Workshop Designed for Non-Stem Busy Professionals at LA.