{"product_id":"140302","title":"Introduction to Python Data Analysis by Jjanjaemi Coding, a self-study course on coding. ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/uOtQlAmFJLLpMDC14IHYtKqBfnZ.png?v=1765079160\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Introduction to Python Data Analysis by Jjanjaemi Coding, a self-study course on coding. \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/143822293\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eJust the essentials!\u003cbr\u003e Becoming a Data Talent Through Iterative Learning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book is for those who want to systematically learn data analysis and those who have learned Python but are wondering what to do next. \u003cbr\u003eThis course covers how to load and analyze data using Pandas, a Python data analysis library, and introduces Pandas' basic data structures and functions, as well as preprocessing methods and data visualization using Plotly.\u003cbr\u003e You'll become familiar with data processing in Python through iterative learning, gradually master the various functions of Pandas, and learn how to analyze various types of data to derive insights by performing data analysis tasks with practical examples.\u003cbr\u003e\u003cbr\u003e The appendix provides a roadmap that outlines the big picture of the data field for those who are unsure where and how to start studying data analysis.\u003cbr\u003e Additionally, for those who want to pursue a career in data science, we introduce learning strategies and how to utilize generative AI tools for data analysis.\u003cbr\u003e You can get help understanding the importance of data analysis and preparing for a data-related career.\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e  \u003cli\u003eYou can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003ePart 1: Preparing for Data Analysis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 1 Before starting data analysis\u003cbr\u003e _1.1 Overview of the data analysis process\u003cbr\u003e _1.2 Exploring Data Analysis Tools\u003cbr\u003e\u003cbr\u003e Chapter 2: Setting Up the Development Environment\u003cbr\u003e _2.1 Installing Anaconda\u003cbr\u003e _2.2 Using Jupyter Notebook\u003cbr\u003e\u003cbr\u003e Chapter 3: Python for Data Analysis\u003cbr\u003e _3.1 Python Basic Grammar\u003cbr\u003e _3.2 Python Data Structures\u003cbr\u003e _3.3 Practice: Using Python's Basic Grammar and Data Structures\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 2: Working with Pandas\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 4: Learning Pandas Basics\u003cbr\u003e _4.1 Using Pandas\u003cbr\u003e _4.2 Handling the Series\u003cbr\u003e _4.3 Handling Data Frames\u003cbr\u003e\u003cbr\u003e Chapter 5: Using Pandas Functions\u003cbr\u003e _5.1 Loading data\u003cbr\u003e _5.2 Checking the data\u003cbr\u003e _5.3 Obtaining individual statistics\u003cbr\u003e\u003cbr\u003e Chapter 6 Data Preprocessing\u003cbr\u003e _6.1 Handling missing values\u003cbr\u003e _6.2 Converting data types\u003cbr\u003e _6.3 Reconstructing Data\u003cbr\u003e _6.4 Data Cleaning\u003cbr\u003e _6.5 Merging Data\u003cbr\u003e \u003cbr\u003e\u003cb\u003ePart 3: Practicing Data Analysis and Visualization\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 7: Analyzing Movie Data\u003cbr\u003e _7.1 Loading Data\u003cbr\u003e _7.2 Checking the data\u003cbr\u003e _7.3 Analyzing movie ratings and number of participants\u003cbr\u003e\u003cbr\u003e Chapter 8: Analyzing Real Estate Data\u003cbr\u003e _8.1 Checking data\u003cbr\u003e _ 8.2 Analyzing Real Estate Sales Prices\u003cbr\u003e\u003cbr\u003e Chapter 9: Visualizing Data with Plotly\u003cbr\u003e _9.1 Plotly Overview\u003cbr\u003e _9.2 Visualizing with histograms\u003cbr\u003e _9.3 Visualizing with a line graph\u003cbr\u003e _9.4 Visualizing with a Bar Graph\u003cbr\u003e\u003cbr\u003e Chapter 10: Analyzing Marketing Data\u003cbr\u003e _10.1 Load and check data\u003cbr\u003e _10.2 Analyzing Data\u003cbr\u003e _10.3 Visualizing Data\u003cbr\u003e\u003cbr\u003e Chapter 11: Deepening Data Analysis and Visualization\u003cbr\u003e _11.1 Deep Analysis of Movie Data\u003cbr\u003e _11.2 Deep dive into real estate data\u003cbr\u003e _11.3 Analyzing and Visualizing E-Commerce Data\u003cbr\u003e\u003cbr\u003e \u003cb\u003eAppendix A Future Study Guide\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e A.1 Learning Pandas and Plotly for Beginners\u003cbr\u003e A.2 Data Field Learning Roadmap\u003cbr\u003e A.3 Data Analysis and Careers \u003cbr\u003eAppendix B: How to Use Generative AI\u003cbr\u003e B.1 ChatGPT and Claude\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate5205\/MidCate001\/520407418.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003e[Recommendation]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book systematically covers everything from the basics of data analysis and visualization to practical applications, making it extremely useful for those entering the data field or looking to improve their skills.\u003cbr\u003e What's particularly impressive is the focus on hands-on training using real data and strengthening data-driven decision-making skills.\u003cbr\u003e It emphasizes the importance of data literacy and DDD, and presents a path for readers to grow into data experts.\u003cbr\u003e I am very satisfied with the content and would recommend it to anyone interested in data analysis.\u003cbr\u003e _Park Sang-gil\u003cbr\u003e\u003cbr\u003e I'm studying Python and using it to automate tasks like work and stock investment.\u003cbr\u003e This book is suitable for beginners as well as those like me who want to analyze large amounts of data with Python to gain insights. \u003cbr\u003eAnyone seeking a career in data analysis, in particular, is encouraged to read the Future Study Guide in Appendix A first.\u003cbr\u003e _Choi Gyu-min\u003cbr\u003e\u003cbr\u003e This book is designed to be easy to understand and follow, even for those unfamiliar with data analysis.\u003cbr\u003e It provides interpretation of code execution results and comprehensive analysis of data, providing guidance on how to write Python code and analyze results using the right logic for future data analysis.\u003cbr\u003e I highly recommend this book to anyone who wants to learn data preprocessing and data visualization, essential for machine learning and deep learning, and derive new insights.\u003cbr\u003e _Im Seung-min\u003cbr\u003e\u003cbr\u003e Personally, I found the latter half of the book to be very helpful, including examples of using Pandas and analysis.\u003cbr\u003e There are many books on Pandas and data analysis on the market, but few provide as many real-world examples and variety as this book. \u003cbr\u003eCompared to the books I have, I think this book is far superior in terms of variety and detail.\u003cbr\u003e _Ji Yong-ho\u003cbr\u003e\u003cbr\u003e Studying with this book allowed me to thoroughly learn even the parts I had missed while learning data analysis before, and to fill in all the parts I had missed.\u003cbr\u003e Covering a wide range of topics, including Python, Pandas, and Plotly, this book focuses on data preprocessing and analysis, allowing you to delve into the core concepts quickly.\u003cbr\u003e I especially liked the detailed explanations of concepts and terms.\u003cbr\u003e I also really enjoyed being able to practice with real-world data like marketing data, movies, and real estate data.\u003cbr\u003e _Kim Soo-jung\u003cbr\u003e\u003cbr\u003e Using Plotly instead of Matplotlib allowed me to take data visualization in a new direction. \u003cbr\u003eThe process of data import, interpretation, and missing value correction required for data analysis was organic, and detailed explanations were provided for each step, making the functions easy to remember and reference.\u003cbr\u003e The explanation wasn't difficult, so I was able to follow along easily.\u003cbr\u003e _Son Gye-won \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e April 1, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 432 pages | 183*235*18mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791140712823 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893408694314,"sku":"140302","price":37.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/92f57b7f761598613f47fd0de027a76c.jpg?v=1765400906","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140302","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}