Introduction to Data Science by Laura Igual
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 58130
- Number of Pages: 232
Rs.660.00
Rs.850.00
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"Introduction to Data Science: A Python Approach to Concepts, Techniques, and Applications" delves into the foundational principles and practical applications of data science through the lens of Python programming. Authored by Laura Igual and Santi Segui, this comprehensive text equips readers with the essential skills and knowledge necessary to navigate the complex landscape of data analysis, interpretation, and manipulation. With a focus on Python, a versatile and widely-used programming language in the field of data science, this book offers a hands-on approach to learning, ensuring that readers not only grasp theoretical concepts but also gain proficiency in implementing them through practical exercises and examples.
The book begins by elucidating fundamental concepts such as data types, data structures, and basic programming constructs in Python, catering to both novice learners and experienced practitioners seeking to strengthen their foundational understanding. Subsequently, it progresses to explore more advanced topics including data visualization, statistical analysis, machine learning, and data mining techniques, providing readers with a holistic understanding of the data science workflow. By emphasizing the Python ecosystem for data science, including popular libraries such as NumPy, pandas, matplotlib, and scikit-learn, Igual and Segui empower readers to leverage the full potential of Python for solving real-world data challenges. Whether you are a student aspiring to enter the field of data science, a professional seeking to enhance your skill set, or an enthusiast eager to explore the fascinating world of data analysis, "Introduction to Data Science: A Python Approach to Concepts, Techniques, and Applications" serves as an invaluable resource for mastering the essentials of data science with Python.
Key Points:
- Comprehensive coverage of fundamental data science concepts and techniques.
- Emphasis on practical implementation using Python programming language.
- In-depth exploration of data visualization, statistical analysis, machine learning, and data mining.
- Utilization of popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for hands-on learning.
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Writer ✤ Laura Igual (Author), Santi Segui
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