| 000 -LEADER |
|---|
| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220610b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030870225 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.4033 |
| Item number |
PAC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Paczkowski, Walter R. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Business analytics : data science for business problems |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2021 |
| Place of publication, distribution, etc |
Cham : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxxviii, 387 p. ; |
| Other physical details |
ill., |
| Dimensions |
25 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
109.99 |
| Price type code |
EUR |
| Unit of pricing |
86.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Include bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Decision making |
|
|---|
| Topical term or geographic name as entry element |
Mathematical models |
|
|---|
| Topical term or geographic name as entry element |
Strategic planning |
|
|---|
| Topical term or geographic name as entry element |
Business intelligence |
|
|---|
| Topical term or geographic name as entry element |
Accuracy report |
|
|---|
| Topical term or geographic name as entry element |
Autoregressive model(AR) |
|
|---|
| Topical term or geographic name as entry element |
Cross-sectional data |
|
|---|
| Topical term or geographic name as entry element |
Decision trees |
|
|---|
| Topical term or geographic name as entry element |
Disturbance term |
|
|---|
| Topical term or geographic name as entry element |
Elasticity |
|
|---|
| Topical term or geographic name as entry element |
Econometrics |
|
|---|
| Topical term or geographic name as entry element |
Fit method |
|
|---|
| Topical term or geographic name as entry element |
Frequency table |
|
|---|
| Topical term or geographic name as entry element |
Gaussian distribution |
|
|---|
| Topical term or geographic name as entry element |
Heatmap |
|
|---|
| Topical term or geographic name as entry element |
Hypothesis testing |
|
|---|
| Topical term or geographic name as entry element |
K-means clustering |
|
|---|
| Topical term or geographic name as entry element |
Label Encoding |
|
|---|
| Topical term or geographic name as entry element |
Mosaic graph |
|
|---|
| Topical term or geographic name as entry element |
Naive Bayes |
|
|---|
| Topical term or geographic name as entry element |
Outliers |
|
|---|
| Topical term or geographic name as entry element |
Panel data set |
|
|---|
| Topical term or geographic name as entry element |
Statsmodels |
|
|---|
| Topical term or geographic name as entry element |
Training data set |
|
|---|
| Topical term or geographic name as entry element |
Unrestricted model |
|
|---|
| Topical term or geographic name as entry element |
Z-transform |
|
|---|
| Topical term or geographic name as entry element |
Spatial data |
|
|---|
| Topical term or geographic name as entry element |
Time senses analysis |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |