Data Analysis for Business, Economics, and Policy
Békés, Gábor, Kézdi, Gábor author.
Zarządzanie procesami biznesowymi, Ekonomia, Polityka, Analiza danych
available:
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Author
Békés, Gábor
Kézdi, Gábor author.
Title
Data Analysis for Business, Economics, and Policy
Issue number
First edition.
Volume
1 online resource (xxvi, 714 pages) :
Object passwords
Zarządzanie procesami biznesowymi
Ekonomia
Polityka
Analiza danych
Additional information
Includes bibliographical references and index.
I: Data exploration -- 1. Origins of data -- 2. Preparing data for analysis -- 3. Exploratory data analysis -- 4. Comparison and correlation -- 5. Generalising from data -- 6. Testing hypothesis -- II: Regression analysis -- 7. Simple regression -- 8. Complicated patterns and messy data -- 9. Generalising results of a regression -- 10. Multiple linear regression -- 11. Modelling probabilities -- 12. Regression with time series data -- III: Prediction -- 13. A framework for prediction -- 14. Mode
Summary
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way t
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%a 9781108582674
020
%a 1108582672
020
%a 9781108591102
020
%a 1108591108
100
%a Békés, Gábor
245
%a Data Analysis for Business, Economics, and Policy /
250
%a First edition.
260
%a
%b
%c
300
%a 1 online resource (xxvi, 714 pages) :
%b digital, PDF file(s).
%c
504
%a Includes bibliographical references and index.
505
%a I: Data exploration -- 1. Origins of data -- 2. Preparing data for analysis -- 3. Exploratory data analysis -- 4. Comparison and correlation -- 5. Generalising from data -- 6. Testing hypothesis -- II: Regression analysis -- 7. Simple regression -- 8. Complicated patterns and messy data -- 9. Generalising results of a regression -- 10. Multiple linear regression -- 11. Modelling probabilities -- 12. Regression with time series data -- III: Prediction -- 13. A framework for prediction -- 14. Mode
520
%a This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way t
650
%a Zarządzanie procesami biznesowymi
650
%a Ekonomia
650
%a Polityka
650
%a Analiza danych
700
%a Kézdi, Gábor
%e author.
Available items
1.
Accession: 9257
Signature: 1. Dział ogólny
Signature: 1. Dział ogólny
Status: Checked out
Due date: 2026/12/31
Due date: 2026/12/31
