{"product_id":"applied-data-science-with-python-and-jupyter","title":"Beginner Data Science with Python and Jupyter","description":"\u003cdiv\u003e\u003cp\u003eThis hands-on course introduces data science fundamentals using the Python programming language and the powerful Jupyter Notebook platform. You’ll explore everything from data cleaning and machine learning to web scraping and interactive visualization—turning raw data into smart insights with real-world relevance.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBeginner Data Science with Python and Jupyter Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn by doing: practice with real datasets and coding exercises.\u003c\/li\u003e\n\u003cli\u003eGain fluency in Jupyter Notebooks, Python libraries, and machine learning tools.\u003c\/li\u003e\n\u003cli\u003eBuild models to solve classification problems and interpret results.\u003c\/li\u003e\n\u003cli\u003eScrape data from the web and visualize it like a pro.\u003c\/li\u003e\n\u003cli\u003eWalk away with a toolkit to tackle data-driven problems in any domain.\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\u003cul\u003e\n\u003cli\u003eKnowledge of programming fundamentals and some experience with Python, including Python libraries, Pandas, Matplotlib, and scikit-learn.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eBeginner Data Science with Python and Jupyter Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eLesson 1: Jupyter Fundamentals\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to Jupyter Notebooks\u003c\/li\u003e\n\u003cli\u003eData exploration using the Boston Housing Dataset\u003c\/li\u003e\n\u003cli\u003eFirst steps in predictive analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 2: Data Cleaning \u0026amp; Machine Learning\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eData preprocessing strategies\u003c\/li\u003e\n\u003cli\u003eClassification models: SVM, KNN, Random Forests\u003c\/li\u003e\n\u003cli\u003eModel evaluation and dimensionality reduction (PCA)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 3: Web Scraping \u0026amp; Interactive Visualizations\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eHTTP requests \u0026amp; HTML parsing with Python\u003c\/li\u003e\n\u003cli\u003eData scraping with Beautiful Soup\u003c\/li\u003e\n\u003cli\u003eBuilding interactive plots with Bokeh\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 4: Applied Projects\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eInvestigating datasets through EDA\u003c\/li\u003e\n\u003cli\u003eTraining and tuning classification models\u003c\/li\u003e\n\u003cli\u003eCreating impactful, interactive visualizations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A61US \/ 2026-07-20T09:00:00 \/ Online","offer_id":47534205731035,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269C25US \/ 2026-09-15T09:00:00 \/ Online","offer_id":48216584061147,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA67US \/ 2026-11-09T09:00:00 \/ Online","offer_id":48216584093915,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A79US \/ 2027-01-19T09:00:00 \/ Online","offer_id":48216584126683,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A63US \/ 2027-03-16T09:00:00 \/ Online","offer_id":48377298944219,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A58US \/ 2027-05-17T09:00:00 \/ Online","offer_id":48778590290139,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/learningtreeinternational-dirinfosec-hhs.myshopify.com\/products\/applied-data-science-with-python-and-jupyter","provider":"Learning Tree International","version":"1.0","type":"link"}