{"product_id":"practical-data-science-with-r-and-python-a-hands-on-approach-to-solving-data-problems-with-r-and-python-9798307388808","title":"Practical Data Science with R and Python: A Hands-On Approach to Solving Data Problems with R and Python","description":"\u003cp\u003e • Author(s): Thompson Carter\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003ePractical Data Science with R and Python: A Hands-On Approach to Solving Data Problems with R and Python\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMaster the art of data science with \u003ci\u003ePractical Data Science with R and Python\u003c\/i\u003e, a comprehensive guide for aspiring data scientists, analysts, and professionals eager to leverage the power of R and Python to solve real-world data challenges. This hands-on book combines the strengths of these two leading data science tools to provide practical solutions to common data problems, helping you make data-driven decisions with confidence.\u003c\/p\u003e\u003cp\u003eWhether you're new to data science or looking to expand your skillset, this book equips you with the tools, techniques, and workflows necessary to process, analyze, and visualize data effectively.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eGetting Started with R and Python: \u003c\/b\u003e Set up your environment and learn the basics of both R and Python for data science.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Wrangling and Cleaning: \u003c\/b\u003e Handle messy datasets with Pandas in Python and dplyr in R to prepare data for analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExploratory Data Analysis (EDA): \u003c\/b\u003e Uncover patterns, trends, and insights in data using visualization libraries like ggplot2 (R) and Matplotlib (Python).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStatistical Analysis: \u003c\/b\u003e Perform descriptive and inferential statistics to test hypotheses and summarize data.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMachine Learning Basics: \u003c\/b\u003e Build and evaluate predictive models using scikit-learn (Python) and caret (R).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Visualization: \u003c\/b\u003e Create compelling and interactive visualizations with R's Shiny and Python's Plotly libraries.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBig Data Processing: \u003c\/b\u003e Learn to work with large datasets using tools like SparkR, Dask, and PySpark.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTime-Series Analysis: \u003c\/b\u003e Analyze and forecast time-series data with ARIMA and Prophet in both R and Python.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eText Mining and Natural Language Processing: \u003c\/b\u003e Extract insights from unstructured text data using libraries like tidytext (R) and NLTK (Python).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHandling Geospatial Data: \u003c\/b\u003e Visualize and analyze geospatial data with GeoPandas (Python) and sf (R).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIntegration and Automation: \u003c\/b\u003e Combine R and Python workflows to streamline repetitive tasks and maximize efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel Deployment: \u003c\/b\u003e Learn to deploy your data science models into production environments with Flask (Python) and RStudio Connect.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World Applications: \u003c\/b\u003e Work through projects including fraud detection, customer segmentation, and recommendation systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCollaborating and Version Control: \u003c\/b\u003e Utilize Git and GitHub to manage and share your projects effectively.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho Is This Book For?\u003c\/b\u003e\u003cbr\u003eThis book is ideal for data scientists, analysts, and professionals who want to master both R and Python to tackle diverse data challenges and improve their workflows.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhy Choose This Book?\u003c\/b\u003e\u003cbr\u003eWith its hands-on approach and focus on practical applications, \u003ci\u003ePractical Data Science with R and Python\u003c\/i\u003e bridges the gap between theory and practice, helping you confidently solve data problems and deliver actionable insights.\u003c\/p\u003e\u003cp\u003eStart solving your data challenges today with \u003ci\u003ePractical Data Science with R and Python: A Hands-On Approach to Solving Data Problems with R and Python\u003c\/i\u003e-your essential guide to becoming a versatile data scientist.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45554079629463,"sku":"9798307388808","price":2612.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798307388808.webp?v=1768587689","url":"https:\/\/atlanticbooks.com\/products\/practical-data-science-with-r-and-python-a-hands-on-approach-to-solving-data-problems-with-r-and-python-9798307388808","provider":"Atlantic Books","version":"1.0","type":"link"}