Data Analysis books

manning.com / catalog / Data Science / Data Analysis
Mona Khalil
Foreword by Barry McCardel
, 2025
Robert Osazuwa Ness
Foreword by Lindsay Edwards
, 2025
Aleix Ruiz de Villa , 2024
Elijah Meeks, Anne-Marie Dufour
Foreword by Andy Kirk
, 2024
Reuven Lerner , 2024
(1)
Desireé Abbott , 2024
Tiago Rodrigues Antao , 2023
(3)
David Sweet , 2023
(4)
Marco Peixeiro , 2022
Sinan Ozdemir , 2022
Mahdi Karabiben , 2022
Emre Rencberoglu , 2021
(6)
Boris Paskhaver , 2021
Mike Shakhomirov , 2021
(1)
Carl S. Gold
Foreword by Tien Tzuo
, 2020
(1)
Ashley Davis , 2018
(2)
Elijah Meeks , 2017
(4)
Philipp K. Janert , 2016
(3)
Nina Zumel and John Mount
Foreword by Jim Porzak
, 2014
(1)
William Back, Nicholas Goodman, and Julian Hyde , 2013
Robert I. Kabacoff , 2011
(2)
Philipp K. Janert , 2009
1
Dive into the world of data analysis with comprehensive resources covering everything from fundamental statistical methods to advanced analytical techniques. Learn to harness powerful tools and libraries for data manipulation, visualization, and interpretation. Master causal inference, time series analysis, and machine learning applications while developing practical skills in Python, Julia, and other essential programming languages. Explore modern approaches to business intelligence, real-time data processing, and interactive dashboard creation. Discover techniques for feature engineering, model deployment, and working with various data formats across cloud platforms. Whether you're analyzing financial models, predicting trends, or creating compelling data visualizations, these resources will help you extract meaningful insights and make data-driven decisions. For a more detailed breakdown, take a look at the following categories: Data Analysis books Data Analysis and Business Intelligence books Data Manipulation and Analysis books Data Presentations and Visualizations books Feature Engineering books Optimization and Experimentation books