{"id":92,"date":"2014-10-10T10:19:56","date_gmt":"2014-10-10T17:19:56","guid":{"rendered":"http:\/\/rungme.com\/?p=92"},"modified":"2014-10-10T10:21:07","modified_gmt":"2014-10-10T17:21:07","slug":"coursera-course-intro-to-data-science-reflection","status":"publish","type":"post","link":"https:\/\/rungme.com\/?p=92","title":{"rendered":"Coursera Course (Intro to Data Science) Reflection"},"content":{"rendered":"<p><a href=\"http:\/\/rungme.com\/wp-content\/uploads\/2014\/10\/large-icon-1.png\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/rungme.com\/wp-content\/uploads\/2014\/10\/large-icon-1-300x168.png\" alt=\"Intro to Data Science\" width=\"300\" height=\"168\" class=\"alignright size-medium wp-image-131\" srcset=\"https:\/\/rungme.com\/wp-content\/uploads\/2014\/10\/large-icon-1-300x168.png 300w, https:\/\/rungme.com\/wp-content\/uploads\/2014\/10\/large-icon-1.png 460w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>After about a month of waiting after the course ended, I finally got my statement of accomplishment for the Coursera course Introduction to Data Science.<\/p>\n<p>At first, I wasn&#8217;t going to take this course. I figured that the Machine Learning course by Andrew Ng would preoccupy my time and summer enough and it would probably be best to stick to one class at a time. However, once I saw the opportunity the class provided: which included assignments gathering Twitter data through Python, utilizing Apache Pig to analyze data, and connecting to a Amazon S3 database, I figured that I should just go the distance and take the class regardless.<\/p>\n<p>The assignments for the class were very diverse and did decently in getting people&#8217;s feet wet with different analytic tools such as SQL queries, Tableau dashboards, and Kaggle competitions. Although to be honest, I think that the lecture videos could be better. The articles went over a wide variety of topics, but there was not as much guidance on applying the information learned in the lectures to the assignments given as I would have hoped.<\/p>\n<p>All in all, I think that the course was alright. The assignments were worthwhile, although I felt that I had a huge advantage having some type of programming background using data. Like the machine learning course, I believe one has to be extremely motivated to learn the material on their own. It&#8217;s easy to just skip, procrastinate, and drop out of the course without punishment. However, even though I spent a good amount of time in this class, it isn&#8217;t going to exactly show up on my college transcript, and it isn&#8217;t exactly a verified certificate, I learned a great deal of information and it was pretty worthwhile.<\/p>\n<p>Here&#8217;s the link to the course if you are interested: <a href=\"https:\/\/www.coursera.org\/course\/datasci\" title=\"Introduction to Data Science\" target=\"_blank\">https:\/\/www.coursera.org\/course\/datasci<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>After about a month of waiting after the course ended, I finally got my statement of accomplishment for the Coursera course Introduction to Data Science. At first, I wasn&#8217;t going to take this course. I figured that the Machine Learning course by Andrew Ng would preoccupy my time and summer enough and it would probably be best to stick to one class at a time. However, once I saw the opportunity the class provided: which included assignments gathering Twitter data through Python, utilizing Apache Pig to analyze data, and connecting to a Amazon S3 database, I figured that I should just go the distance and take the class regardless. The assignments for the class were very diverse and did decently in getting people&#8217;s feet wet with different analytic tools such as SQL queries, Tableau dashboards, and Kaggle competitions. Although to be honest, I think that the lecture videos could be<span class=\"continue-reading\"> <a href=\"https:\/\/rungme.com\/?p=92\">  More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":2,"featured_media":131,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,17,3,1],"tags":[14,22],"class_list":{"0":"post-92","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-big-data","8":"category-data-science","9":"category-data-visualization","10":"category-personal","11":"tag-coursera","12":"tag-kaggle","13":"czr-hentry"},"_links":{"self":[{"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/posts\/92","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/rungme.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=92"}],"version-history":[{"count":3,"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/posts\/92\/revisions"}],"predecessor-version":[{"id":133,"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/posts\/92\/revisions\/133"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rungme.com\/index.php?rest_route=\/wp\/v2\/media\/131"}],"wp:attachment":[{"href":"https:\/\/rungme.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=92"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rungme.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=92"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rungme.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=92"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}