Warenkorb
Kostenloser Versand
Unsere Operationen sind klimaneutral

Data Science for Marketing Analytics Mirza Rahim Baig

Data Science for Marketing Analytics von Mirza Rahim Baig

Data Science for Marketing Analytics Mirza Rahim Baig


€17.99
Zustand - Wie Neu
Nur noch 1

Zusammenfassung

This book on marketing analytics with Python will quickly get you up and running using practical data science and machine learning to improve your approach to marketing. You'll learn how to analyze sales, understand customer data, predict outcomes, and present conclusions with clear visualizations.

Data Science for Marketing Analytics Zusammenfassung

Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition Mirza Rahim Baig

Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language

Key Features
  • Use data analytics and machine learning in a sales and marketing context
  • Gain insights from data to make better business decisions
  • Build your experience and confidence with realistic hands-on practice
Book Description

Unleash the power of data to reach your marketing goals with this practical guide to data science for business.

This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects.

You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions.

As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior.

By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making.

What you will learn
  • Load, clean, and explore sales and marketing data using pandas
  • Form and test hypotheses using real data sets and analytics tools
  • Visualize patterns in customer behavior using Matplotlib
  • Use advanced machine learning models like random forest and SVM
  • Use various unsupervised learning algorithms for customer segmentation
  • Use supervised learning techniques for sales prediction
  • Evaluate and compare different models to get the best outcomes
  • Optimize models with hyperparameter tuning and SMOTE
Who this book is for

This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path.

Basic prior knowledge of Python and experience working with data will help you access this book more easily.

Über Mirza Rahim Baig

Mirza Rahim Baig is an avid problem solver who uses deep learning and artificial intelligence to solve complex business problems. Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering. He has a keen interest in programming and AI and has applied that interest in mechanical engineering projects.

Inhaltsverzeichnis

Table of Contents
  1. Data Preparation and Cleaning
  2. Data Exploration and Visualization
  3. Unsupervised Learning and Customer Segmentation
  4. Evaluating and Choosing the Best Segmentation Approach
  5. Predicting Customer Revenue Using Linear Regression
  6. More Tools and Techniques for Evaluating Regression Models
  7. Supervised Learning: Predicting Customer Churn
  8. Fine Tuning Classification Algorithms
  9. Multiclass Classification Algorithms

Zusätzliche Informationen

GOR013899290
9781800560475
1800560478
Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition Mirza Rahim Baig
Gebraucht - Wie Neu
Broschiert
Packt Publishing Limited
2021-09-07
636
N/A
Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Das Buch wurde gelesen, ist aber in gutem Zustand. Alle Seiten sind intakt, der Einband ist unversehrt. Leichte Gebrauchsspuren am Buchrücken. Das Buch wurde gelesen, sieht jedoch noch wie neu aus. Der Bucheinband weist keine sichtbaren Gebrauchsspuren auf. Gegebenenfalls ist auch ein Schutzumschlag verfügbar. Keine fehlenden oder beschädigten Seiten, keine Risse, eventuell minimale Knicke, keine unterstrichenen oder markierten Textstellen, keine beschrifteten Ränder.