Python for Marketing Research and Analytics 1st ed. 2020 Edition
genuine image
Python for Marketing Research and Analytics 1st ed. 2020 Edition
This book provides an introduction to quantitative marketing with Python.
Python for Marketing Research and Analytics 1st ed. 2020 Edition
Articolo #: 47517566

Python for Marketing Research and Analytics 1st ed. 2020 Edition

80% degli intervistati lo consiglierebbe a un amico

Articolo #: 47517566

€ 58

Dettagli del prezzo

Escluse spese di spedizione e doganali ( Le spese di spedizione e doganali saranno calcolate al momento del pagamento )

*Tutti gli articoli verranno importati da Stati Uniti

Disponibile
Stati Uniti Importato dal negozio USA

Qtà:

Ordina subito e ricevilo entro Giovedì, Ottobre 08
Transazione sicuraTransazione sicura

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

I nostri principali partner logistici
  • fedex
  • dhl
This book provides an introduction to quantitative marketing with Python.
Garanzia U-Care:
Nessuna
Seleziona un piano
fast shipping

Consegna
veloce

free return

Reso
gratuito*

Imballaggio sicuro

Imballaggio sicuro

Prodotti originali al 100%

Prodotti originali al 100%

pci-dss

Conformità PCI DSS

iso certified

Certificazione ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of Stati Uniti store (110-120). Recommended power converters Acquista ora.

Cosa salta all'occhio

Comprehensive Coverage
Offers a thorough exploration of Python applications specifically for marketing research, equipping professionals with the skills needed to analyze and interpret data effectively.
Real-World Examples
Incorporates practical case studies and examples, helping readers understand the direct application of Python in solving marketing problems and enhancing decision-making processes.
User-Friendly Approach
Designed for marketers with varying levels of programming knowledge, the book simplifies complex concepts, making it accessible and engaging for beginners and experienced practitioners alike.

Dettagli del prodotto

Shop now for Python for Marketing Research and Analytics 1st ed. 2020 Edition at Ubuy San Marino. Enhance your marketing strategies with Python's data analytics tools.
  • Introduction to quantitative marketing with Python
  • Hands-on approach to using Python for real marketing questions
  • All analyses presented in Colab notebooks for reproducible research
  • Code notebooks for each chapter can be copied, adapted, and reused
  • Introduction to machine learning predictive models using sklearn
  • Suitable for experienced marketing researchers, analysts/students who already program in Python, and marketing students with little programming background
Publisher Springer
Publication date November 3, 2020
Edition 1st ed. 2020
Language English
Print length 283 pages
ISBN-10 3030497194
ISBN-13 978-3030497194
Item Weight 2.1 pounds (950 grams)
Dimensions 8.27 x 0.77 x 10.98 inches (21 x 2 x 27.9 cm)

A chi è consigliato?

Suitable For
  • Market Researchers

    Ideal for market researchers looking to leverage Python for data analysis and insights in their projects.

  • Students in Marketing

    Students pursuing marketing courses will gain practical skills in analytics using Python for their future careers.

  • Data Analysts

    Data analysts focused on marketing will benefit from tools and techniques specific to analytics using Python.

Not Suitable For
  • Beginners in Coding

    Complete beginners might find the material too advanced without prior programming knowledge or experience.

DESCRIZIONE DEL PRODOTTO

Python for Marketing Research and Analytics 1st ed. 2020 Edition

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

  • Domanda: What topics are covered in 'Python for Marketing Research and Analytics'?

    Risposta: The book covers a range of essential topics that are fundamental for leveraging Python in marketing research. Key sections include data collection techniques, data analysis methodologies, visualization strategies, and the application of machine learning in marketing. By familiarizing readers with Python libraries like Pandas, Matplotlib, and Scikit-learn, the book provides practical insights. Professionals can apply these skills to analyze customer behavior, refine marketing strategies, or generate actionable insights from data.
  • Domanda: Who is the intended audience for this book?

    Risposta: The intended audience includes marketing professionals, data analysts, and students who are eager to enhance their analytical skills using Python. It’s suitable for those with a basic understanding of Python, as well as marketers looking to deepen their data-driven decision-making expertise. The practical examples and case studies allow users to relate the concepts directly to real-world marketing scenarios, making it a valuable resource for improving marketing effectiveness.
  • Domanda: Do I need prior programming experience to understand this book?

    Risposta: While a background in programming can be beneficial, 'Python for Marketing Research and Analytics' is designed to be accessible for beginners. The book provides step-by-step guides and easy-to-understand explanations for key Python concepts. Individuals with a marketing background can progressively build their coding skills as they work through the examples. This approach enables readers to develop a confident grasp of Python while applying it directly to their marketing research endeavors.
  • Domanda: What types of Python libraries are discussed in this book?

    Risposta: The book discusses several Python libraries crucial for data analysis and visualization. Key libraries include Pandas for data manipulation, Matplotlib and Seaborn for data visualization, and Scikit-learn for machine learning applications. Each library is introduced with practical examples that demonstrate how they can be used to extract insights from marketing data. By understanding these libraries, readers can optimize their workflow and effectively analyze data to inform marketing strategies.
  • Domanda: How does this book facilitate learning through examples?

    Risposta: The book incorporates numerous real-world case studies and practical exercises that illustrate how Python can be utilized in various marketing contexts. These examples help bridge the gap between theory and practice, enabling readers to apply what they learn to their own marketing projects. For instance, they can analyze customer segmentation, campaign effectiveness, and predicting marketing outcomes, all of which are skills that enhance data-driven marketing practices.
  • Domanda: Is there a focus on visualization in this book, and why is it important?

    Risposta: Yes, the book emphasizes the importance of data visualization in marketing research. Visualization helps analysts present complex data insights in a more digestible format, allowing stakeholders to make informed decisions. Techniques using libraries like Matplotlib and Seaborn are thoroughly covered, enabling readers to understand how to visually represent data trends and patterns effectively. Effective visualizations can clarify campaign performance metrics or target audience behavior, making them invaluable for marketing success.
  • Domanda: Can the skills learned from this book be applied in different industries?

    Risposta: Absolutely! While the book is tailored for marketing research, the skills and techniques learned are applicable across various industries such as e-commerce, finance, healthcare, and technology. Understanding data analysis and visualization is crucial in any field that relies on data-driven decision-making. Readers can adapt the methodologies to fit specific industry needs, thereby enhancing analytical practices in their respective sectors.
  • Domanda: How does this book address the use of machine learning in marketing?

    Risposta: The book introduces machine learning concepts tailored for marketing applications, allowing readers to understand how predictive analytics can enhance marketing strategies. Topics such as customer segmentation and churn prediction are covered, illustrating how machine learning models can analyze customer data. By applying these techniques, marketing professionals can anticipate customer behavior and tailor their strategies accordingly, making it a crucial read for data-driven marketers.
  • Domanda: What additional resources are recommended alongside this book?

    Risposta: In addition to 'Python for Marketing Research and Analytics', supplementary resources such as online Python courses, tutorials on data visualization, and forums like Stack Overflow can provide additional support. Engaging with online communities can also enhance understanding and foster discussions about real-world applications. By combining various resources, readers can develop a solid foundation and stay updated with trends in data analytics and marketing.
  • Domanda: Where can I buy Python for Marketing Research and Analytics 1st ed. 2020 Edition in San Marino?

    Risposta: You can buy 'Python for Marketing Research and Analytics 1st ed. 2020 Edition' at Ubuy. Ubuy offers a wide range of books and resources that cater to your learning needs. Simply visit their website, search for the title, and explore options that suit your preferences. Ubuy ensures a seamless shopping experience and a vast selection of academic materials that can complement your study efforts.

Statistics Editorial Review

Python for Marketing Research and Analytics 1st ed. 2020 Edition is a comprehensive and practical book that can help marketers and data analysts to analyze and interpret different types of data. With an easy-to-read and engaging style, it serves as an exceptional precursor to getting a python certification as it leads you through the basics such as installation and interface to get you up and running right away. Even those who are unfamiliar with Python can easily adapt their knowledge of R and other languages to coding in Python with this book. The book can also act as a reference for those who want to refresh their memory on working with a specific type of data or analysis. It contains several chapters which teach advanced marketing analytics, including means comparisons, linear and logistic regression, multidimensional scaling and perceptual mapping, and factor and cluster analyses among others. This title is perfect for learning how to use Python for marketing research and analytics, whether as a standalone text or as a companion to the R for Marketing Research and Analytics book by Chapman and Feit. The first 7 chapters of this book are similar in content to the R book, with even the simulated data being the same as the R book. Overall, Python for Marketing Research and Analytics 1st ed. 2020 Edition is a valuable resource for anyone looking to improve their data analysis skills using Python.

Recensioni e valutazioni dei clienti

1 valutazioni dei clienti
  • 5 stella
    100%
  • 4 stella
    0%
  • 3 stella
    0%
  • 2 stella
    0%
  • 1 stella
    0%

Recensisci questo prodotto

Condividi le tue impressioni con altri clienti

Vantaggi

  • Easy-to-read and practical style
  • Serves as a precursor to getting a python certification
  • Can be used as a reference for specific types of data or analysis
  • Contains several chapters of advanced marketing analytics
  • Can be used as a standalone text or as a companion to the R for Marketing Research and Analytics book

Affidabilità della piattaforma e fiducia degli acquirenti

trustpilot logo
4.2/5 9477 recensioni
Leggi le recensioni
JK
Jasmin
Acquirente verificato

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Acquirente verificato

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Acquirente verificato

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Acquirente verificato

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Acquirente verificato

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Pagamento sicuro Consegna in tutto il mondo Resi facili Prodotti originali

Cronologia dei prezzi del prodotto

Informazioni importanti

  • Limitazioni: per i prodotti spediti a livello internazionale, si prega di notare che ogni garanzia del produttore potrebbe non essere valida, le opzioni di assistenza del produttore potrebbero non essere disponibili, i manuali del prodotto, le istruzioni e gli avvisi di sicurezza potrebbero non essere nella lingua del paese di destinazione. I prodotti (e i materiali di accompagnamento) potrebbero non essere progettati in conformità con gli standard, le specifiche e i requisiti di etichettatura del paese di destinazione e i prodotti potrebbero non essere conformi alla tensione di rete del paese di destinazione e ad altri standard elettrici (richiedendo l'uso di un adattatore o di un trasformatore, se necessario). Il destinatario è responsabile di assicurare che il prodotto possa essere legalmente importato nel paese di destinazione. Quando si ordina da Ubuy o dai suoi affiliati, il destinatario è l'importatore registrato ed è tenuto a rispettare tutte le leggi e i regolamenti del paese di destinazione.
  • Non tutti i prodotti elencati su Ubuy sono in vendita, poiché Ubuy è un motore di ricerca globale. I prodotti sono soggetti a regolamenti di esportazione/commercio.

€ 58

Ordina subito e ricevilo entro Giovedì, Ottobre 08

Qtà:

Transazione sicuraTransazione sicura

Conforme allo standard PCI DSS e certificato ISO 27001:2022, con pagamenti crittografati e piena protezione dell'acquirente su ogni ordine.

I nostri principali partner logistici
  • fedex
  • dhl
Consegna transfrontaliera più rapida

Caratteristiche e benefici

  • Hands-on approach to using Python for real marketing questions
  • Uses Colab notebooks for reproducible research
  • Code notebooks can be copied, adapted, and reused
  • Introduces machine learning predictive models using sklearn package
  • Designed for experienced marketing researchers, analysts/students who already program in Python, and marketing students with little programming background
  • Presumes only introductory level of familiarity with formal statistics

Garanzia Ubuy

Vivi un'esperienza di shopping senza pensieri con prodotti 100% originali, sicurezza dei pagamenti conforme allo standard PCI DSS, protezione dei dati certificata ISO 27001, la consegna internazionale più rapida, resi gratuiti, e imballaggio sicuro su ogni ordine.*