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
HKD 441
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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
產品詳情
- 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?
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Marketing Professionals
Ideal for marketers looking to enhance their strategies and utilize data analysis for effective decision-making.
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Data Analysts
Great for data analysts wanting to apply their technical skills to marketing analytics and strategy development.
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Business Students
Suitable for business students focusing on marketing, providing practical insights into data-driven strategy formulation.
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Complete Beginners
Not suitable for individuals with no prior knowledge of data analysis or programming concepts in Python.
產品敘述
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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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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優點
- Intuitive and easy-to-understand principles
- Great introduction to Pandas in Python for business analysis
缺點
- Lacks depth in specific topics like marketing or customer analytics
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HKD 441
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特色和優勢
- 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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