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37905986
Programming for Data Science: 4 Books in 1. The Complete Beginners Guide you Cant Miss to Master the Era of the Data Economy, using Python, Java, SQL
83% of respondents would recommend this to a friend
Nº de artículo:
37905986
HNL 1329
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One of the core elements of economic growth in the twenty-first century is the data economy.
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What Stands Out
Comprehensive Content
Offers an extensive overview of four essential programming languages—Python, Java, SQL—specifically tailored for data science, ensuring readers gain a broad understanding and skill set.
Beginners Friendly
Designed for absolute beginners, this guide simplifies complex concepts, making data science accessible and engaging for anyone looking to start a career in the evolving data economy.
Practical Applications
Includes practical examples and exercises that encourage hands-on learning, allowing readers to apply their knowledge immediately and build confidence in real-world coding scenarios.
Detalles de producto
- 4 Books in 1 covering Python, Java, and SQL for data science
- Learn the best programming languages for data science in 2020
- Python is ideal for statistical analysis, data modeling, and data visualization
- Java is widely used for enterprise development and big data frameworks/tools
- SQL is crucial for managing and retrieving data in a relational database system
- Equipping with multiple programming languages can help overcome unique data science challenges
| Publisher | Independently published |
| Publication date | October 28, 2020 |
| Language | English |
| Print length | 610 pages |
| ISBN-13 | 979-8554981258 |
| Item Weight | 1.78 pounds (810 grams) |
| Dimensions | 6 x 1.38 x 9 inches (15.2 x 3.5 x 22.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners aiming to start a career in data science and learn essential programming languages.
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Self-Learners
Great for individuals who prefer self-paced learning through comprehensive guides bundled into one resource.
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Career Switchers
Helpful for professionals transitioning into data-driven fields seeking foundational knowledge in programming and data analysis.
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Advanced Programmers
Not suitable for those with existing programming expertise, as it targets complete beginners in data science.
DESCRIPCIÓN DEL PRODUCTO
Programming for Data Science: 4 Books in 1. The Complete Beginners Guide you Cant Miss to Master the Era of the Data Economy, using Python, Java, SQL Coding
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Beginner's Guides Editorial Review
"Programming for Data Science: 4 Books in 1" is a comprehensive guidebook for anyone interested in pursuing a career in data programming. The author provides a thorough overview of the subject, starting with an introduction to data programming as a career and its future. Then the author goes on to cover the different programming languages such as Python, Java, and SQL, with each language having its own chapter. The chapters are set up similarly, introducing the basics of the language, what they are best suited for, and providing sample exercises to work with the language. Though the book does contain a lot of information, it may feel overwhelming to some. However, if one takes time to go through it, the information is comprehensive and easy to follow. It is a great companion book for self-teaching and efficient in building skills in programming for data science.
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ventajas
- Thorough overview of data programming as a career
- Comprehensive guide covering multiple programming languages
- Sample exercises for each language to practice
- Great companion book for self-teaching
- Information is comprehensive and easy to follow
Contras
- Writing can feel disjointed
Product Price History
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características y beneficios
- Master the era of the data economy
- Learn the top programming languages for data science
- Python is the best language for data science in 2020
- Java has great libraries and tools for Machine Learning and Data Science
- SQL is crucial for retrieving and managing data in data science
- Data science is ranked the best job in tech for the last 3 years
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