PYTHON DATA SCIENCE FOR BEGINNERS - Johnston, Rufus

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Résumé :
Embark on a transformative journey into the world of data science with Python, the most popular programming language for data analysis and manipulation. Python Data Science for Beginners is a comprehensive guide that equips you with the fundamental skills and knowledge needed to dive into the exciting field of data science, even if you have no prior coding experience. Inside, you'll find: ? A step-by-step introduction to Python programming, covering the basics and providing a solid foundation for data science ? Practical explanations of key data science concepts, including data exploration, visualization, manipulation, and analysis ? Hands-on coding examples and exercises to reinforce your understanding and help you build your own data science projects ? Guidance on popular Python libraries for data science, such as Pandas, NumPy, Matplotlib, and Scikit-learn ? Strategies for effective data cleaning, preprocessing, and feature engineering And Much More!... Whether you're a student, professional, or simply someone with a curiosity for data science, Python Data Science for Beginners provides a comprehensive and beginner-friendly approach to mastering the essentials. With the help of this book, you'll gain the confidence to tackle real-world data challenges and embark on a rewarding career in the field of data science. Get ready to unleash your analytical skills and unlock the power of Python in the fascinating world of data science.

Sommaire:
Embark on a transformative journey into the world of data science with Python, the most popular programming language for data analysis and manipulation. Python Data Science for Beginners is a comprehensive guide that equips you with the fundamental skills and knowledge needed to dive into the exciting field of data science, even if you have no prior coding experience. Inside, you'll find: ? A step-by-step introduction to Python programming, covering the basics and providing a solid foundation for data science ? Practical explanations of key data science concepts, including data exploration, visualization, manipulation, and analysis ? Hands-on coding examples and exercises to reinforce your understanding and help you build your own data science projects ? Guidance on popular Python libraries for data science, such as Pandas, NumPy, Matplotlib, and Scikit-learn ? Strategies for effective data cleaning, preprocessing, and feature engineering And Much More!... Whether you're a student, professional, or simply someone with a curiosity for data science, Python Data Science for Beginners provides a comprehensive and beginner-friendly approach to mastering the essentials. With the help of this book, you'll gain the confidence to tackle real-world data challenges and embark on a rewarding career in the field of data science. Get ready to unleash your analytical skills and unlock the power of Python in the fascinating world of data science. ...