Business Analytics with Python

Business Analytics with Python

Bowei Chen, Gerhard Kling

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O titulu

Data-driven decision-making is a fundamental component of business success. Use this textbook to help you learn and understand the core knowledge and techniques needed for analysing business data with Python programming.

Business Analytics with Python is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees. It assumes no prior knowledge or experience in computer science, instead presenting the technical aspects of the subject in an accessible, introductory way for students. This book takes a holistic approach to business analytics, covering not only Python as well as mathematical and statistical concepts, essential machine learning methods and their applications.

Features include:

- Chapters covering preliminaries, as well as supervised and unsupervised machine learning techniques

- A running case study to help students apply their knowledge in practice.

- Real-life examples demonstrating the use of business analytics for tasks such as customer churn prediction, credit card fraud detection, and sales forecasting.

- Practical exercises and activities, learning objectives, and chapter summaries to support learning.

Podrobnosti

Nakladatel
Kogan Page
Jazyk
EN
Formát
PDF
Vydáno
ISBN
9781398617278
Ochrana souboru
Vodoznak — otevře se v každé čtečce, bez dalšího účtu