{"product_id":"python-data-wrangling-training","title":"Python Data Wrangling Training","description":"\u003cdiv\u003e\n\u003cp\u003eIn this \u003cstrong\u003ePython Data Wrangling\u003c\/strong\u003e course, you will learn how to use Python to extract\/transform data from various sources, including large database vaults and Excel financial tables.\u003c\/p\u003e\r\n\u003cp\u003eYou will also explore insights into why you should avoid traditional data cleaning methods, as done in other languages, and take advantage of the specialized functions from \u003ca href=\"https:\/\/numpy.org\/\" title=\"NumPy\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eNumPy\u003c\/a\u003e and Pandas.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003ePython Data Wrangling Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this Python Wrangling course, you will learn how to do the following:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eExtract and parse data from various sources.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eTransform and clean data using Numpy and Pandas.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eSummarize and visualize data with\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/matplotlib.org\/\" title=\"Matplotlib | Visualization with Python\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eMatplotlib.\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eRead\u003cspan\u003e \u003c\/span\u003e\u003cabbr title=\"HyperText Markup Language\"\u003eHTML\u003c\/abbr\u003e,\u003cspan\u003e \u003c\/span\u003e\u003cabbr title=\"eXtensible Markup Language\"\u003eXML\u003c\/abbr\u003e, and\u003cspan\u003e \u003c\/span\u003e\u003cabbr title=\"JavaScript Object Notation\"\u003eJSON\u003c\/abbr\u003e\u003cspan\u003e \u003c\/span\u003edata from internet resources.\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eSearch and filter data sets.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eApply Python tools and techniques to process data sets efficiently.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou should know Python basics, including data structures, importing and using modules, creating functions, and using the Jupyter Notebook platform.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003ePython Data Wrangling Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Introduction to Data Structure Using Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePython for Data Wrangling\u003c\/li\u003e\n\u003cli\u003eLists, Sets, Strings, Tuples, and Dictionaries\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Advanced Operations on Built-In Data Structure\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAdvanced Data Structures\u003c\/li\u003e\n\u003cli\u003eBasic File Operations in Python\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Introduction to NumPy, Pandas, and Matplotlib\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNumPy Arrays \u003c\/li\u003e\n\u003cli\u003ePandas DataFrames \u003c\/li\u003e\n\u003cli\u003eStatistics and Visualization with NumPy and Pandas \u003c\/li\u003e\n\u003cli\u003eUsing NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Deep Dive into Data Wrangling with Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSubsetting, Filtering, and Grouping \u003c\/li\u003e\n\u003cli\u003eDetecting Outliers and Handling Missing Values \u003c\/li\u003e\n\u003cli\u003eConcatenating, Merging, and Joining \u003c\/li\u003e\n\u003cli\u003eUseful Methods of Pandas \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Getting Comfortable with Different Data Sources\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading Data from Different Text-Based (and Non-Text-Based) Sources \u003c\/li\u003e\n\u003cli\u003eIntroduction to BeautifulSoup4 and Web Page Parsing \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Learning the Hidden Secrets of Data Wrangling\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAdvanced List Comprehension and the zip function \u003c\/li\u003e\n\u003cli\u003eData Formatting \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Advanced Web Scraping and Data Gathering\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasics of Web Scraping and BeautifulSoup libraries \u003c\/li\u003e\n\u003cli\u003eReading Data from XML \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: RDBMS and SQL\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRefresher of \u003cabbr title=\"Relational DataBase Management System\"\u003eRDBMS\u003c\/abbr\u003e and \u003cabbr title=\"Structured Query Language\"\u003eSQL\u003c\/abbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUsing an RDBMS (MySQL\/PostgreSQL\/SQLite)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: Application in Real Life and Conclusion of Course\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eApplying Your Knowledge to a Real-life Data Wrangling Task\u003c\/li\u003e\n\u003cli\u003eAn Extension to Data Wrangling\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A03CN \/ 2026-06-24T09:00:00 \/ Online","offer_id":47534199963867,"sku":"US-1273-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"267A78US \/ 2026-07-29T09:00:00 \/ 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