{"id":5257,"date":"2024-11-27T06:55:43","date_gmt":"2024-11-27T06:55:43","guid":{"rendered":"https:\/\/coursesmantra.com\/?post_type=lp_course&#038;p=5257"},"modified":"2024-11-28T09:31:31","modified_gmt":"2024-11-28T09:31:31","slug":"data-science-with-python","status":"publish","type":"lp_course","link":"https:\/\/coursesmantra.com\/?lp_course=data-science-with-python","title":{"rendered":"Data Science With Python"},"content":{"rendered":"<h4 id=\"ms_cc1\">1. The Data Science: An Overview<\/h4>\n<ul>\n<li>Introduction to the Data Science<\/li>\n<li>Different Sectors Using Data Science<\/li>\n<li>The Purpose and Components of Python<\/li>\n<\/ul>\n<h4 id=\"ms_cc2\">2. Data Analytics Overview<\/h4>\n<ul>\n<li>The Data Analytics Process<\/li>\n<li>Exploratory the Data Analysis (EDA)<\/li>\n<li>EDA-Quantitative Technique<\/li>\n<li>EDA &#8211; Graphical Technique<\/li>\n<li>The Data Analytics Conclusion or Predictions<\/li>\n<li>The Data Analytics Communication<\/li>\n<li>The Data Types for Plotting<\/li>\n<\/ul>\n<h4 id=\"ms_cc3\">3. Statistical Analysis and Business Applications<\/h4>\n<ul>\n<li>Introduction to the Statistics<\/li>\n<li>About Statistical and Non-statistical Analysis<\/li>\n<li>The Major Categories of Statistics<\/li>\n<li>About the Statistical Analysis Considerations<\/li>\n<li>The Population and Sample<\/li>\n<li>What is the Statistical Analysis Process?<\/li>\n<li>The Data Distribution<\/li>\n<li>Dispersion<\/li>\n<\/ul>\n<h4 id=\"ms_cc4\">4. Python Environment Setup and Essentials<\/h4>\n<ul>\n<li>About the Anaconda<\/li>\n<li>The Installation of Anaconda Python Distribution<\/li>\n<li>Data Types in the Python<\/li>\n<li>Basic Operators and Functions<\/li>\n<\/ul>\n<h4 id=\"ms_cc5\">5. What is Mathematical Computing with Python (NumPy)?<\/h4>\n<ul>\n<li>An Introduction to the Numpy<\/li>\n<li>The Activity-Sequence it Right<\/li>\n<li>Class and Attributes of ndarray<\/li>\n<li>All About the Basic Operations<\/li>\n<li>Activity-Slice It<\/li>\n<li>Copy and Views<\/li>\n<li>About the Mathematical Functions of Numpy<\/li>\n<\/ul>\n<h4 id=\"ms_cc6\">6. The Scientific computing with Python (Scipy)<\/h4>\n<ul>\n<li>Introduction to the SciPy<\/li>\n<li>About the SciPy Sub Package &#8211; Integration and Optimization<\/li>\n<li>What is SciPy sub package?<\/li>\n<li>Know About the SciPy Sub Package &#8211; Statistics, Weave and IO<\/li>\n<\/ul>\n<h4 id=\"ms_cc7\">7. The Data Manipulation with Pandas<\/h4>\n<ul>\n<li>Introduction to the Pandas<\/li>\n<li>Understanding DataFrame<\/li>\n<li>The Missing Values<\/li>\n<li>The Data Operations<\/li>\n<li>About File Read and the Write Support<\/li>\n<li>What is Pandas Sql Operation?<\/li>\n<\/ul>\n<h4 id=\"ms_cc8\">8 . The Natural Language Processing with Scikit Learn<\/h4>\n<ul>\n<li>NLP: An Overview<\/li>\n<li>What are NLP Applications?<\/li>\n<li>About NLP Libraries-Scikit<\/li>\n<li>The Extraction Considerations<\/li>\n<li>The Scikit Learn-Model Training and Grid Search<\/li>\n<\/ul>\n<h4 id=\"ms_cc9\">9. The Data Visualization in Python using matplotlib<\/h4>\n<ul>\n<li>Introduction to the Data Visualization<\/li>\n<li>What are Line Properties?<\/li>\n<li>(x,y) Plot and Subplots<\/li>\n<li>The Types of Plots<\/li>\n<\/ul>\n<h4 id=\"ms_cc10\">10. Web Scraping with BeautifulSoup<\/h4>\n<ul>\n<li>Web Scraping and Parsing<\/li>\n<li>Understanding and Searching the Tree<\/li>\n<li>Know the Navigating options<\/li>\n<li>Know About Modifying the Tree<\/li>\n<li>How to Parse and Print the Document?<\/li>\n<\/ul>\n<h4 id=\"ms_cc11\">11. Python integration with Hadoop MapReduce and Spark<\/h4>\n<ul>\n<li>Know Why Big Data Solutions are provided for Python?<\/li>\n<li>Describing Hadoop Core Components<\/li>\n<li>The Python Integration with HDFS using Hadoop Streaming<\/li>\n<li>The Python Integration with Spark using PySpark<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>1. The Data Science: An Overview Introduction to the Data Science Different Sectors Using Data Science The Purpose and Components [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":5534,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"course_category":[29],"course_tag":[],"class_list":["post-5257","lp_course","type-lp_course","status-publish","has-post-thumbnail","hentry","course_category-courses","course"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Science With Python - Coursesmantra<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/coursesmantra.com\/?lp_course=data-science-with-python\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science With Python - Coursesmantra\" \/>\n<meta property=\"og:description\" content=\"1. 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