Logo

Basic Data Analysis and More: A Guided Tour Using Python

Small book cover: Basic Data Analysis and More: A Guided Tour Using Python

Basic Data Analysis and More: A Guided Tour Using Python
by

Publisher: arXiv
Number of pages: 62

Description:
In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations. From a point of view of data analysis, the concepts and techniques introduced here are of general interest and are, at best, employed by computational aid. Consequently, an exemplary implementation of the presented techniques using the Python programming language is provided.

Home page url

Download or read it online for free here:
Download link
(910KB, PDF)

Similar books

Book cover: Reversible Markov Chains and Random Walks on GraphsReversible Markov Chains and Random Walks on Graphs
by - University of California, Berkeley
From the table of contents: General Markov Chains; Reversible Markov Chains; Hitting and Convergence Time, and Flow Rate, Parameters for Reversible Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs and Chains; etc.
(8427 views)
Book cover: Introduction Probaility and StatisticsIntroduction Probaility and Statistics
by - University of Southern Maine
Topics: Data Analysis; Probability; Random Variables and Discrete Distributions; Continuous Probability Distributions; Sampling Distributions; Point and Interval Estimation; Large Sample Estimation; Large-Sample Tests of Hypothesis; etc.
(20484 views)
Book cover: Topics in Random Matrix TheoryTopics in Random Matrix Theory
by
This is a textbook for a graduate course on random matrix theory, inspired by recent developments in the subject. This text focuses on foundational topics in random matrix theory upon which the most recent work has been based.
(7768 views)
Book cover: Advanced Data Analysis from an Elementary Point of ViewAdvanced Data Analysis from an Elementary Point of View
by - Cambridge University Press
This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It began as the lecture notes.
(3395 views)