{"631569":{"#nid":"631569","#data":{"type":"event","title":"Data Analysis with Python","body":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EPre-requisite: Introduction to Python, Python Logic\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis workshop will go over the basics of Numpy and Pandas, Python\u0026#39;s data science libraries. We will then use these libraries to read in a dataset, manipulate and clean our data, and then export, analyze, and visualize our refined data to gain valuable insights.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ERecommended for students with at least a basic knowledge of programming and Python.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETools: Anaconda 3.6, Jupyter Notebook, Numpy, Pandas, matplotlib, seaborn\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPLEASE DO NOT BE LATE FOR YOUR SESSION!\u003C\/strong\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cp\u003E.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis workshop will go over the basics of Numpy and Pandas, Python\u0026#39;s data science libraries.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This workshop will go over the basics of Numpy and Pandas, Python\u0027s data science libraries. "}],"uid":"28817","created_gmt":"2020-01-24 19:12:46","changed_gmt":"2020-01-24 19:14:21","author":"Jason Wright","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-14T12:30:00-05:00","event_time_end":"2020-02-14T14:00:00-05:00","event_time_end_last":"2020-02-14T14:00:00-05:00","gmt_time_start":"2020-02-14 17:30:00","gmt_time_end":"2020-02-14 19:00:00","gmt_time_end_last":"2020-02-14 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/data-analysis-with-python-tickets-91345953205","title":"Register Now!"}],"groups":[{"id":"47240","name":"Georgia Tech Library"}],"categories":[],"keywords":[{"id":"140341","name":"Python"},{"id":"38921","name":"data visualization"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}