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Vare #:
52380517
Python for Data Science: A Hands-On Introduction
Vare #:
52380517
DKK 400
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Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities.
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What Stands Out
Practical Learning
Engages users with hands-on projects that reinforce data science concepts, allowing learners to apply Python in real-world scenarios effectively.
Comprehensive Coverage
Covers essential data science tools and libraries, ensuring a strong foundational understanding for beginners while addressing common user challenges.
User-Friendly Format
Designed for easy navigation and understanding, making complex topics accessible and enjoyable for readers with varying experience levels.
Produktdetaljer
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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Beginners in Python
Ideal for newcomers to programming who want to learn Python while focusing on data science applications.
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Data Science Enthusiasts
Perfect for individuals interested in data science who wish to gain practical experience with real-world datasets.
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Professionals Upskilling
Great for professionals looking to enhance their skill set in data analysis and Python programming for career advancement.
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Experienced Programmers
Not suitable for seasoned programmers who may find the content too basic and lacking in advanced topics.
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Advanced Data Scientists
May not meet the needs of data scientists seeking in-depth methodologies and complex analytical techniques.
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Theory-Focused Learners
Less ideal for those who prefer theoretical knowledge over hands-on experience and practical application.
PRODUKTBESKRIVELSE
Python for Data Science: A Hands-On Introduction
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Kundespørgsmal & svar
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spørgsmål:
What is Python?
svar: Python is an interpreted, high-level, general-purpose programming language. -
spørgsmål:
Is Python good for data science?
svar: Yes, Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. -
spørgsmål:
What are some real-world data applications covered?
svar: Real-world data applications include using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.
Data Mining Editorial Review
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- Lightweight formula, non-greasy
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DKK 400
Bestil nu og få den omkring Monday, Juni 29
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Egenskaber og fordele
- Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds.
- Write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques
- Discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science
- Load data in various formats, streamline, group, and aggregate data sets, and create charts, maps, and visualizations
- Real-world data applications including Taxi service, market basket analysis, and machine learning to predict stock prices