{ "item_title" : "Introduction to Data Science", "item_author" : [" Rick Mewis "], "item_description" : "Dive deep into the intriguing world of data science with Cracking the Code: Essential Techniques and Tools for Data Science. Whether you're a budding data enthusiast or an expert aiming to refine your knowledge, this comprehensive guide provides a unique, holistic perspective on the ever-evolving landscape of data science. Unravel the mysteries behind data collection, analysis, visualization, and interpretation with meticulously crafted content. Discover essential techniques that form the backbone of modern-day analytics. Explore powerful tools like Python, TensorFlow, and Tableau, and harness their capabilities to unlock actionable insights. Features: In-depth Exploration: Delve into the core principles of data science, from foundational concepts to advanced methodologies. Hands-on Tutorials: Engage in practical exercises and real-world case studies that enhance understanding and promote active learning. Expert Insights: Benefit from the expertise of seasoned data scientists and industry stalwarts as they share their experiences, tips, and best practices. Future-Ready: Equip yourself with knowledge on the emerging trends in data science and stay ahead of the curve. Cracking the Code: Essential Techniques and Tools for Data Science isn't just a book-it's an immersive journey. Embark on this enlightening adventure and transform yourself from a data enthusiast to a data expert. If you've ever wanted to harness the immense potential of data science but didn't know where to start, your code to success lies within these pages. Uncover it, decode it, and master the world of data science!", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/885/445/9798854454216_b.jpg", "price_data" : { "retail_price" : "19.95", "online_price" : "19.95", "our_price" : "19.95", "club_price" : "19.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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