{"product_id":"practical-data-science-environments-with-python-and-r-paperback","title":"Practical Data Science Environments with Python and R - Paperback","description":"\u003cp\u003eby \u003cb\u003eAstha Puri\u003c\/b\u003e (Author), \u003cb\u003eRohan Mathur\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cem\u003eFrom Beginner to Practitioner: A Practical Path to Learning Data Science\u003c\/em\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e● Build production-ready data science environments from scratch.\u003c\/p\u003e\u003cp\u003e● Learn Python and R through complete, real-world workflows for cleaning, visualizing, and modeling data.\u003c\/p\u003e\u003cp\u003e● Learn real-world and practical workflows used by modern data organizations.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eData science often fails beginners not because of complex algorithms, but because setting up the right tools, environments, and workflows is confusing and poorly explained. \u003cstrong\u003e\u003cem\u003ePractical Data Science Environments with Python and R \u003c\/em\u003e\u003c\/strong\u003efills that gap by focusing on the practical foundations required to work effectively in real data science settings.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou begin by developing a clear understanding of the data science landscape, including how different programming languages, tools, and platforms are used across analytics and machine learning workflows. As you advance, you learn how to import structured and unstructured data, apply systematic cleaning and transformation techniques, and perform exploratory analysis to understand data behavior.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou will implement and evaluate foundational models while learning how to organize code, manage versions with Git, and follow workflows used in professional data teams. The final chapters connect these skills to industry use cases, advanced topics, and next steps, preparing you to continue growing beyond the basics.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e● Build complete, reproducible data science environments from scratch.\u003c\/p\u003e\u003cp\u003e● Prepare raw data through structured cleaning and transformation processes.\u003c\/p\u003e\u003cp\u003e● Apply Python and R workflows for end-to-end data analysis tasks.\u003c\/p\u003e\u003cp\u003e● Visualize data to identify patterns and communicate analytical insights.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e1. An Overview of Data Science\u003c\/p\u003e\u003cp\u003e2. Comparing Programming Languages and Various Environments\u003c\/p\u003e\u003cp\u003e3. Setting Up Data Science Environment\u003c\/p\u003e\u003cp\u003e4. Importing and Cleaning Data in Python and R\u003c\/p\u003e\u003cp\u003e5. Data Wrangling and Manipulation in Python and R\u003c\/p\u003e\u003cp\u003e6. Data Visualization in Python and R\u003c\/p\u003e\u003cp\u003e7. Introduction to Data Science Algorithms\u003c\/p\u003e\u003cp\u003e8. Implementing Machine Learning Models\u003c\/p\u003e\u003cp\u003e9. Version Control with Git\u003c\/p\u003e\u003cp\u003e10. Data Science and Analytics in Industry\u003c\/p\u003e\u003cp\u003e11. Advanced Topics and Next Steps\u003c\/p\u003e\u003cp\u003e \u003cstrong\u003eIndex\u003c\/strong\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 256\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.54 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 29, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":46374316310663,"sku":"9789349887558","price":54.65,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/HBu3cyRtJD9789349887558.webp?v=1793357478","url":"https:\/\/booksby.splitshops.com\/products\/practical-data-science-environments-with-python-and-r-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}