{"id":2079,"date":"2023-02-12T21:50:16","date_gmt":"2023-02-12T21:50:16","guid":{"rendered":"https:\/\/dev1992.com\/?p=2079"},"modified":"2023-02-13T16:53:30","modified_gmt":"2023-02-13T16:53:30","slug":"the-complete-pandas-bootcamp-2023-for-data-analysis-python-2","status":"publish","type":"post","link":"https:\/\/dev1992.com\/index.php\/2023\/02\/12\/the-complete-pandas-bootcamp-2023-for-data-analysis-python-2\/","title":{"rendered":"Cup\u00f3n Udemy: The Complete Pandas Bootcamp 2023 for Data Analysis &#8211; Python &#8211; Udemy Coupon"},"content":{"rendered":"\n        <div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n        \n\n        \n        <h2 class=\"wp-block-heading\">Pandas fully explained! Master the pandas library to analyze, manipulate and visualize data in Python<\/h2>\n        \n\n        \n        <div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/img-b.udemycdn.com\/course\/750x422\/4731070_c8a5_3.jpg\" alt=\"\"\/><figcaption>The Complete Pandas Bootcamp 2023 for Data Analysis &#8211; Python<\/figcaption><\/figure><\/div>\n        \n\n        \n        <div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n        \n\n        \n        <h2 class=\"wp-block-heading\">Idioma<\/h2>\n        \n\n        \n        <p>English<\/p>\n        \n\n        \n        <div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n        \n\n        \n        <h2 class=\"wp-block-heading\">Descripci\u00f3n<\/h2>\n        \n\n        \n        <p><p><br><\/p><p>***** <strong>Enrol now in the most comprehensive and up-to-date (Nov 2022) course available for the Pandas!<\/strong> *****<\/p><p><br><\/p><p>Welcome to the <strong>most comprehensive Pandas course<\/strong> available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!<\/p><p><strong>Pandas for Data Analysis in Python <\/strong>offers&nbsp; in-depth video tutorials on the most powerful data analysis toolkit <\/p><p><br><\/p><p><strong>About the Instructor.<\/strong><\/p><p>This course is led by Aditya Dhandi &#8211; an international trainer, consultant, and data analyst with over <strong>100 000<\/strong> enrollments on Udemy. Aditya specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, &amp; Google Data Studio &amp; his courses average <strong>4+ stars<\/strong> out of 5.<\/p><p><br><\/p><p>He&#8217;s also the founder of the popular website, <strong>Jobshie<\/strong>.<\/p><p><br><\/p><p><br><\/p><p><strong>Why learn pandas?<\/strong><br><\/p><p>If you&#8217;ve spent time in a spreadsheet software like MS Excel or Google Sheets and want to take your data analysis skills to the next level, this course is for you! <br><\/p><p>Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with \u201crelational\u201d or \u201clabeled\u201d data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.<\/p><p><br><\/p><p><strong>Pandas is the most powerful and flexible open source data analysis\/manipulation tool available in any language<\/strong>.<br><\/p><p>pandas is well suited for many different kinds of data:<\/p><p>Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet<\/p><p>Ordered and unordered (not necessarily fixed-frequency) time series data.<\/p><p>Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels<\/p><p>Any other form of observational \/ statistical data sets. The data need not be labeled at all to be placed into a pandas data structure<\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><strong>Key Features:<\/strong><\/p><p><br><\/p><p>Video Lectures: Learn the best ways to learn Pandas<\/p><p>Course Certificate: Complete the course and show off your skills with the course certificate.<\/p><p>Learn from experts: Your expert instructor will teach you Pandas skills you can apply immediately.<\/p><p>Full Excess: There is no time limit, so take the course at your own pace and retake lessons as you need.<\/p><p>Use any Device: Join the course using any modern browser on your phone, tablet and computer.<\/p><p>Ask Question: Ask questions and share ideas with other students in the course community.<\/p><p><br><\/p><p><br><\/p><p><strong>What&#8217;s included?<\/strong><\/p><p><strong>High quality video lessons<\/strong> to build your knowledge and skills.<\/p><p><strong>Guided walk-throughs<\/strong> with techniques and tips.<\/p><p><strong>14 pre-built dashboards<\/strong> you can use and customize.<\/p><p><strong>Practical exercises<\/strong> to apply your skills.<\/p><p><strong>Quizzes<\/strong> to reinforce learnings and test your knowledge.<\/p><p><strong>Private discussion area<\/strong> where you can ask questions.<\/p><p><strong>Course certificate<\/strong> for completing the lessons and assignment.<\/p><p><strong>Full access<\/strong> lets you review lessons whenever you need.<\/p><p><strong>Updates<\/strong> when lessons in the course are refreshed.<\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><strong>Jobshie Academy Reviews<\/strong><\/p><p><strong>300+ learner reviews | 4+ average rating<\/strong><br><\/p><p>We help learners across the globe develop new skills and achieve their personal and professional goals. Browse learner reviews below to discover how people enjoy the online learning experience at Jobshie Academy.<\/p><p><br><\/p><p><em>\u00abI have gained useful skills while learning this course. I can consider myself a data analysis specialist. Thank you\u00bb<\/em><\/p><p>by <strong>Joseph Israel<\/strong><\/p><p><br><\/p><p><em>\u00abI was a nice experience about this course as it introduces with many topics which are related to data analysis .\u00bb<\/em><\/p><p>by <strong>Sreeraj Mopkar<\/strong><\/p><p><br><\/p><p><em>\u00abvery good explaination , bohot achhe se sab samajh aata hai &#8230;100% Understanding all concept very much&#8230;.excellent explanation\u00bb<\/em><\/p><p>by <strong>Moosa Khan<\/strong><\/p><p><br><\/p><p><em>\u00abThe course is very instructive and didactic, I liked it, it is all the information I need for my activities\u00bb<\/em><\/p><p>by <strong>Jaime Ronald Palma Aguilar<\/strong><\/p><p><br><\/p><p><em>\u00abyeah it was such a great course, the teacher took time out to disect all angles of Excel, he touched all the essential parts, needed for our daily use of excel. Thanks a lot\u00bb<\/em><\/p><p>by <strong>Unyime Joshua<\/strong><\/p><p><br><\/p><p><em>\u00abThe instructor is very knowledgeable and teach in a very engaging way. I totally recommend this course.????\u00bb<\/em><\/p><p>by <strong>Aditya<\/strong><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><br><\/p><p><strong>FAQs<\/strong><\/p><p><strong>When does the Pandas course start and finish?<\/strong><\/p><p>The course starts as soon as you join! It is a completely self-paced online course, so you decide when you start and when you finish.<\/p><p><strong>How long does it take to complete the course?<\/strong><\/p><p>We recommend taking the course over two to three weeks, so you have time to apply the lessons to your account (or your client\u2019s account). That being said we&#8217;ve seen people complete the course in a week and others that spread the lessons over a couple of months.<\/p><p><strong>How long do I have access to the Pandas course?<\/strong><\/p><p>You receive full access to the course so that you can take the lessons at any time. You can rewatch lessons whenever you like and any lesson updates are included.<\/p><p><strong>Will I receive a certificate?<\/strong><\/p><p>Yes, once you complete all of the lessons, exercises, quizzes, and course assignment, you&#8217;ll receive your course certificate.<\/p><p><br><\/p><p><br><\/p><p><strong>What are you waiting for?<\/strong><\/p><p>There\u2019s never been a better time to add a skill like programming to your toolbox and Pandas<strong> <\/strong>to get started. So check out the free preview and get enrolled! 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