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Data Science for Marketing Analytics - Second Edition
A practical guide to forming a killer marketing strategy through data analysis with Python
Taschenbuch von Mirza Rahim Baig (u. a.)
Sprache: Englisch

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Beschreibung
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.
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 den Autor
Mirza Rahim Baig is an avid problem solver who uses deep learning and AI to solve business problems and create impact. A BITS, Pilani graduate, Rahim is a lead at Flipkart, India's largest e-commerce platform. He has a decade of experience in creating value from data, harnessing the power of the latest in Machine learning and AI. Rahim is also a teacher - designing, creating, teaching data science for various learning platforms. He loves making the complex easy to understand.
Details
Erscheinungsjahr: 2021
Fachbereich: Programmiersprachen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 636
ISBN-13: 9781800560475
ISBN-10: 1800560478
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Baig, Mirza Rahim
Govindan, Gururajan
Shrimali, Vishwesh Ravi
Auflage: Second
Hersteller: Packt Publishing
Maße: 235 x 191 x 34 mm
Von/Mit: Mirza Rahim Baig (u. a.)
Erscheinungsdatum: 30.09.2021
Gewicht: 1,169 kg
Artikel-ID: 120896237
Über den Autor
Mirza Rahim Baig is an avid problem solver who uses deep learning and AI to solve business problems and create impact. A BITS, Pilani graduate, Rahim is a lead at Flipkart, India's largest e-commerce platform. He has a decade of experience in creating value from data, harnessing the power of the latest in Machine learning and AI. Rahim is also a teacher - designing, creating, teaching data science for various learning platforms. He loves making the complex easy to understand.
Details
Erscheinungsjahr: 2021
Fachbereich: Programmiersprachen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 636
ISBN-13: 9781800560475
ISBN-10: 1800560478
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Baig, Mirza Rahim
Govindan, Gururajan
Shrimali, Vishwesh Ravi
Auflage: Second
Hersteller: Packt Publishing
Maße: 235 x 191 x 34 mm
Von/Mit: Mirza Rahim Baig (u. a.)
Erscheinungsdatum: 30.09.2021
Gewicht: 1,169 kg
Artikel-ID: 120896237
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