Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition
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Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition
Unleash the power of data to reach your marketing goals with this practical guide to data science for business.
Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition
Nº de artículo: 47178583

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

89% of respondents would recommend this to a friend

Nº de artículo: 47178583

BOB 391

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

Practical Approach
This edition emphasizes hands-on techniques, allowing readers to apply data analysis using Python directly to formulate effective marketing strategies.
Updated Content
Incorporating the latest trends and tools in data science, this edition provides insights that help marketers stay ahead in the competitive landscape.
Beginner Friendly
The book is designed for those new to data science, making complex concepts accessible and actionable for marketers looking to enhance their analytical skills.

Detalles de producto

Get practical insights on forming a killer marketing strategy through data analysis with Python. Shop the 2nd edition of 'Data Science for Marketing Analytics' at Ubuy Bolivia.
  • Practical guide to using Python for marketing analytics and machine learning
  • Learn to use pandas for sales and marketing data cleaning and exploration
  • Implement machine learning algorithms for sales prediction and customer segmentation
  • Explore data visualization using Matplotlib to understand customer behavior patterns
  • Evaluate and optimize models for better outcomes with hyperparameter tuning
  • Suitable for developers or marketing analysts with basic Python knowledge and data experience
Publisher Packt Publishing
Publication date September 7, 2021
Edition 2nd ed.
Language English
Print length 636 pages
ISBN-10 1800560478
ISBN-13 978-1800560475
Item Weight 2.37 pounds (1.08 kg)
Dimensions 7.5 x 1.44 x 9.25 inches (19.1 x 3.7 x 23.5 cm)

Who Should Buy?

Suitable For
  • Marketing Professionals

    Ideal for marketers looking to enhance their strategies and utilize data analysis for effective decision-making.

  • Data Analysts

    Great for data analysts wanting to apply their technical skills to marketing analytics and strategy development.

  • Business Students

    Suitable for business students focusing on marketing, providing practical insights into data-driven strategy formulation.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals with no prior knowledge of data analysis or programming concepts in Python.

DESCRIPCIÓN DEL PRODUCTO

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

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  • Pregunta: ¿Está Data Science for Marketing Analytics: A practical disponible para comprar en línea en Bolivia?

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Python Editorial Review

The book on business analysis using Pandas in Python has received mixed reviews from customers. While some users praise its intuitive and easy-to-understand principles, labeling it as one of the best Python books they've read, others have found it lacking in depth when it comes to specific topics such as marketing or customer analytics. One user, in particular, mentioned that the book mainly Consists of simple tasks without providing much insight or in-depth analysis into the field. Overall, the book seems to be a good starting point for those looking to learn about business analysis using Pandas in Python, but it may not be comprehensive enough for those seeking a deeper dive into marketing or customer analytics. **

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ventajas

  • Intuitive and easy-to-understand principles
  • Great introduction to Pandas in Python for business analysis

Contras

  • Lacks depth in specific topics like marketing or customer analytics

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características y beneficios

  • Turbocharge your marketing plans with predictive analytics
  • Gain insights from data to make better business decisions
  • Build your experience and confidence with realistic hands-on practice
  • Learn how to clean, explore and visualize data
  • Implement machine learning algorithms and build models to make predictions
  • Implement data science and machine learning techniques to better understand marketing data

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