Julia Programming For Data Science: A Beginner-Friendly Approach (Mastering Julia: From Novice to Expert) - Softcover
Book 1 of 3: Mastering Julia: From Novice to Expert
Synopsis
Julia Programming for Data Science: A Beginner-Friendly Approach
Embark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.
What you'll learn:
- Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.
- Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.
- Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.
- Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.
- Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.
Why choose this book?
- Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.
- Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.
- Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.
- Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.
Unlock the power of Julia and become a proficient data scientist. Start your journey today!
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Julia Programming for Data Science: A Beginner-Friendly ApproachEmbark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.What you'll learn: Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.Why choose this book?Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.Unlock the power of Julia and become a proficient data scientist. Start your journey today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798344780399
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Paperback. Condition: new. Paperback. Julia Programming for Data Science: A Beginner-Friendly ApproachEmbark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.What you'll learn: Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.Why choose this book?Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.Unlock the power of Julia and become a proficient data scientist. Start your journey today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798344780399
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