    {"id":4153,"date":"2024-05-27T00:40:21","date_gmt":"2024-05-26T17:40:21","guid":{"rendered":"https:\/\/student-activity.binus.ac.id\/himstat\/?p=4153"},"modified":"2024-05-27T00:40:21","modified_gmt":"2024-05-26T17:40:21","slug":"24a13","status":"publish","type":"post","link":"https:\/\/student-activity.binus.ac.id\/himstat\/2024\/05\/24a13\/","title":{"rendered":"Data Scientist VS Data Analyst VS Data Engineer"},"content":{"rendered":"<p style=\"text-align: justify\"><span data-contrast=\"auto\">Di zaman sekarang, dunia digital terus berkembang, salah satunya dalam hal data. Data menjadi komponen yang paling penting dalam pengambilan keputusan yang akurat. Data sendiri memiliki banyak ukuran, salah satunya <\/span><i><span data-contrast=\"auto\">big data.<\/span><\/i> <i><span data-contrast=\"auto\">Big data<\/span><\/i><span data-contrast=\"auto\"> adalah suatu data yang bersifat kompleks, berukuran besar, dan terus bertambah setiap saat. Dengan perkembangan data ini, diperlukan profesi yang dapat menganalisis dan mengolah data agar dapat menjadi informasi yang berguna. Profesi yang menangani permasalahan <\/span><i><span data-contrast=\"auto\">big data <\/span><\/i><span data-contrast=\"auto\">tersebut ada <\/span><i><span data-contrast=\"auto\">data scientist<\/span><\/i><span data-contrast=\"auto\">, <\/span><i><span data-contrast=\"auto\">data analyst<\/span><\/i><span data-contrast=\"auto\">, dan <\/span><i><span data-contrast=\"auto\">data engineer<\/span><\/i><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><i><span data-contrast=\"auto\">Data analyst<\/span><\/i><span data-contrast=\"auto\"> adalah profesi di mana seseorang diminta melakukan mengumpulkan, mengolah\u00b8 menganalisis, serta menyajikan data sesuai permintaan klien. Seorang <\/span><i><span data-contrast=\"auto\">data analyst<\/span><\/i><span data-contrast=\"auto\"> harus mampu menyajikan teknik visualisasi data yang dihasilkan, ringkasan statistik, dan memiliki keterampilan komunikasi untuk mempresentasikan kesimpulan yang didapatkan. <\/span><i><span data-contrast=\"auto\">Data analyst <\/span><\/i><span data-contrast=\"auto\">harus memiliki keterampilan utama, seperti pemrograman dasar yaitu <\/span><span data-contrast=\"auto\">SQL, Python, R<\/span><span data-contrast=\"auto\">, kemampuan menggunakan excel, statistik dasar, dan pengolahan <\/span><i><span data-contrast=\"auto\">tools <\/span><\/i><span data-contrast=\"auto\">seperti <\/span><i><span data-contrast=\"auto\">Power BI<\/span><\/i><span data-contrast=\"auto\"> dan <\/span><i><span data-contrast=\"auto\">Tableau<\/span><\/i><span data-contrast=\"auto\"> agar visualisasi data berupa grafik dan chart dapat dipahami.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><i><span data-contrast=\"auto\">Data scientist<\/span><\/i><span data-contrast=\"auto\"> memiliki kemiripan dengan <\/span><i><span data-contrast=\"auto\">data analyst. <\/span><\/i><span data-contrast=\"auto\">Y<\/span><span data-contrast=\"auto\">ang membedakannya, jika ingin menjadi <\/span><i><span data-contrast=\"auto\">data scientist<\/span><\/i><span data-contrast=\"auto\"> seseorang harus menguasai algoritma dan dapat menggunakan <\/span><i><span data-contrast=\"auto\">machine learning<\/span><\/i><span data-contrast=\"auto\"> untuk memprediksi perkembangan kedepannya dari data yang diberikan. Jika ingin menjadi <\/span><i><span data-contrast=\"auto\">data scientist<\/span><\/i><span data-contrast=\"auto\">, harus\u00a0menguasai dasar-dasar\u00a0<\/span><i><span data-contrast=\"auto\">data analyst<\/span><\/i><span data-contrast=\"auto\"> agar dapat menganalisis dan memahami kumpulan data yang kompleks. Seorang <\/span><i><span data-contrast=\"auto\">data scientist<\/span><\/i><span data-contrast=\"auto\"> harus mampu untuk memprediksi serta membuat suatu model prediktif.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><i><span data-contrast=\"auto\">Data engineer<\/span><\/i><span data-contrast=\"auto\"> adalah profesi yang merupakan sub-bidang dari <\/span><i><span data-contrast=\"auto\">software engineering<\/span><\/i><span data-contrast=\"auto\"> yang berfokus pada infrastruktur dan alat yang digunakan untuk menyimpan dan mengembangkan sistem pada <\/span><i><span data-contrast=\"auto\">big data<\/span><\/i><span data-contrast=\"auto\">. Para<\/span><i><span data-contrast=\"auto\"> data engineer<\/span><\/i><span data-contrast=\"auto\"> harus memastikan data yang dihasilkan dapat dianalisis dan diakses oleh <\/span><i><span data-contrast=\"auto\">data analyst<\/span><\/i><span data-contrast=\"auto\"> atau <\/span><i><span data-contrast=\"auto\">data scientis<\/span><\/i><span data-contrast=\"auto\">t. Keterampilan utama yang diperlukan dalam <\/span><i><span data-contrast=\"auto\">data engineer<\/span><\/i><span data-contrast=\"auto\"> adalah kemampuan pemrograman seperti <\/span><span data-contrast=\"auto\">Python<\/span> <span data-contrast=\"auto\">dan <\/span><span data-contrast=\"auto\">Java<\/span><span data-contrast=\"auto\">, serta kemampuan menggunakan<\/span><i><span data-contrast=\"auto\"> SQL, NoSQL, big data technology<\/span><\/i><span data-contrast=\"auto\"> seperti <\/span><i><span data-contrast=\"auto\">Hadoop <\/span><\/i><span data-contrast=\"auto\">dan <\/span><i><span data-contrast=\"auto\">Spark,<\/span><\/i><span data-contrast=\"auto\"> serta <\/span><i><span data-contrast=\"auto\">cloud computing<\/span><\/i><span data-contrast=\"auto\"> dan <\/span><i><span data-contrast=\"auto\">cybersecurity.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><b><span data-contrast=\"auto\">Referensi :<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><span data-contrast=\"auto\">Telkom University. (n.d.). Simak perbedaan data analyst, data engineer, dan data scientist. Retrieved from https:\/\/it.telkomuniversity.ac.id\/simak-perbedaan-data-analyst-data-engineer-dan-data-scientist\/<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><span data-contrast=\"auto\">Direktorat Jenderal Kekayaan Negara. (n.d.). Perbedaan data analis dengan data scientist. Retrieved from https:\/\/www.djkn.kemenkeu.go.id\/kpknl-serang\/baca-artikel\/14902\/Perbedaan-Data-Analis-dengan-Data-Scientist.html<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n<p style=\"text-align: justify\"><span data-contrast=\"auto\">Institut Teknologi Bandung. (2022, June 28). Menilik peran data engineering pada industri 4.0. Retrieved from https:\/\/www.itb.ac.id\/news\/read\/58742\/home\/menilik-peran-data-engineering-pada-industri-40<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:160,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Di zaman sekarang, dunia digital terus berkembang, salah satunya dalam hal data. Data menjadi komponen yang paling penting dalam pengambilan keputusan yang akurat. Data sendiri memiliki banyak ukuran, salah satunya big data. Big data adalah suatu data yang bersifat kompleks, berukuran besar, dan terus bertambah setiap saat. Dengan perkembangan data ini, diperlukan profesi yang dapat [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":4154,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-4153","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article"],"_links":{"self":[{"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/posts\/4153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/comments?post=4153"}],"version-history":[{"count":1,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/posts\/4153\/revisions"}],"predecessor-version":[{"id":4155,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/posts\/4153\/revisions\/4155"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/media\/4154"}],"wp:attachment":[{"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/media?parent=4153"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/categories?post=4153"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/student-activity.binus.ac.id\/himstat\/wp-json\/wp\/v2\/tags?post=4153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}