{"id":19069,"date":"2021-06-04T08:41:42","date_gmt":"2021-06-04T01:41:42","guid":{"rendered":"https:\/\/campuspedia.id\/news\/?p=19069"},"modified":"2021-06-04T08:41:42","modified_gmt":"2021-06-04T01:41:42","slug":"perbedaan-data-analyst-dan-scientist","status":"publish","type":"post","link":"https:\/\/campuspedia.id\/news\/perbedaan-data-analyst-dan-scientist\/","title":{"rendered":"Suka Olah Data Tapi Bingung Bedanya Data Analyst dan Scientist?"},"content":{"rendered":"

Hallo Campuspedia Friends! <\/span><\/i>Prospek kerja dalam dunia digital semakin beragam setiap saat. Melihat betapa besar dan meluasnya pangsa pasar digital, tentunya ada beberapa prospek kerja baru yang tidak terlalu familiar. Bahkan kadang mereka serumpun, namun ada saja perbedaan yang membedakan tugas keduanya.<\/span><\/span><\/p>\n

Buat kalian yang masih bingung tentang perbedaan kedua pekerjaan tersebut, yuk bisa baca artikel ini sampai akhir!<\/span><\/p>\n

 <\/p>\n

Baca juga : <\/b>Ketahui Perbedaan Jurusan Teknik Informatika, Teknik Komputer, dan Sistem Informasi Berikut Ini<\/b><\/a><\/p><\/blockquote>\n

Data Analyst<\/i><\/b><\/span><\/h2>\n

Pengertian<\/b><\/span><\/h3>\n

Dilansir dari <\/span>datapine.com<\/span><\/a>, <\/span>Data Analyst<\/span><\/i> adalah pekerjaan yang bertugas melakukan pengumpulan, pemodelan, dan analisis data dengan tujuan mengetahui suatu wawasan yang mendukung pengambilan suatu keputusan. Terdapat beberapa metode dan teknik untuk melakukan analisis data, hal ini tergantung pada jenis industri dan tujuan analisis.<\/span><\/span><\/p>\n

Bentuk Pekerjaan<\/b><\/span><\/h3>\n

Sesuai dengan namanya, pekerjaan yang dilakukan adalah seputar analisis data. <\/span>Kegiatan analisis data digunakan untuk mendapatkan suatu pengetahuan baru melalui data yang telah diolah tersebut.<\/span>. <\/span>Data Analyst<\/span><\/i> memang tidak terlalu dituntut untuk menguasai ilmu pemrograman, namun wajib mengetahui statistik dan operasi bisnis guna mengetahui kinerja perusahaan. Kamu juga mesti terampil dalam teknik visualisasi data, statistik ringkasan dan inferensial, serta pemeliharaan sistem data dan database.<\/span><\/span><\/p>\n

Data Scientist<\/i><\/b><\/span><\/h2>\n

Pengertian<\/b><\/span><\/h3>\n

Melansir laman <\/span>mastersindatascience.org<\/span><\/a>, <\/span>Data Scientist<\/span><\/i> adalah pengatur data yang besar (<\/span>Big Data<\/span><\/i>). Tugasnya adalah mengumpulkan, serta menganalisis kumpulan besar data baik yang terstruktur maupun tidak terstruktur. Profesi ini mewajibkan kamu memiliki kemampuan pemrograman yang yang baik.<\/span><\/span><\/p>\n

Bentuk Pekerjaan<\/b><\/span><\/h3>\n

Walau sama-sama bergelut dalam bidang olah data, bisa dibilang <\/span>Data Scientist <\/span><\/i>adalah bentuk \u2018senior\u2019 dari <\/span>Data Analyst. <\/span><\/i>Jika <\/span>Data Analyst <\/span><\/i>memiliki batasan pada jumlah data yang ia kelola berdasarkan dengan masalah yang akan ia analisa, maka <\/span>Data Scientist<\/span><\/i> mendapatkan akses lebih besar daripada itu. Hal ini karena analisa data ini bertujuan untuk mendapatkan prediksi masa depan untuk menentukan arah gerak perusahaan. Kalian juga wajib belajar tentang Algoritma <\/span>Machine Learning<\/span><\/i>.<\/span><\/span><\/p>\n

Perbedaan\u00a0<\/b><\/span><\/h2>\n
    \n
  1. Jumlah data yang diolah
    \n<\/span>Seperti yang sudah dijelaskan di atas, seorang Data Analyst, <\/span><\/i>terbatas pada pengolahan data yang sedang diolahnya. Sebuah perusahaan membutuhkan seorang <\/span>Data Scientist<\/span><\/i> ketika sudah berhadapan dengan data dalam volume yang cukup besar. Contohnya sebuah E-<\/span>Commerce <\/span><\/i>yang perlu menentukan produk yang mesti ditampilkan pada tiap-tiap pengguna pada laman <\/span>explore<\/span><\/i> mereka.<\/span><\/li>\n
  2. Skill pemahaman pemrograman
    \n<\/span>Data Analyst<\/span><\/i> memang tidak dituntut memilikinya, namun akan sangat jadi nilai tambah jika punya. Sedangkan <\/span>Data Scientist<\/span><\/i> diwajibkan tau mengenai algoritma machine learning.<\/span><\/li>\n
  3. Jam Terbang dan Pengalaman
    \n<\/span>Seorang Data Scientist<\/span><\/i> biasanya memiliki pengalaman dan jam kerja yang cukup lama dalam bidang olah data. Oleh karena itu, sering kali <\/span>Data Analyst <\/span><\/i>disebut sebagai \u2018Junior <\/span>Data Scientist<\/span><\/i>\u2019.<\/span><\/li>\n<\/ol>\n

    Gaji<\/b><\/span><\/h2>\n

    Bahasan paling ditunggu. GAJI. Seberapa besarkah gaji diantara <\/span>Data Analyst <\/span><\/i>dan <\/span>Data Scientist?<\/span><\/i> Hal ini dikelompokkan berdasarkan pengalaman dan jam kerja yang sudah ditempuh masing-masing orang tentunya.\u00a0<\/span><\/span><\/p>\n

    Berdasarkan data yang beredar, diketahui gaji paling rendah berkisar antara Rp. 4.000.000,-. Dengan pengalaman hingga 2 tahun, kamu bisa dapat gaji sekitar Rp 14.000.000,-. Dengan pengalaman 2 hingga 5 tahun, sekitar 18.000.000, dan untuk pengalaman lebih dari 5 tahun, gaji yang didapatkan adalah Rp 19.000.000\u00a0 bahkan lebih.<\/span><\/p>\n

     <\/p>\n

    Baca juga : <\/b>Seluk Beluk Sekolah Vokasi : Pengertian, Perbedaan, Durasi, Keuntungan<\/b><\/a><\/p><\/blockquote>\n

     <\/p>\n

    Nah itu tadi informasi mengenai perbedaan antara <\/span>Data Analyst<\/span><\/i> dan <\/span>Data Scientist<\/span><\/i>. Gimana nih <\/span>Campuspedia Friends, <\/span><\/i>apakah kalian semakin tertarik pada pekerjaan olah data?\u00a0<\/span><\/span><\/p>\n

    Sekian dulu dari minca ya!<\/span> Jangan lupa follow akun minca yang lain mulai dari <\/span>Instagram<\/span><\/a>, <\/span>LinkedIn<\/span><\/a>, <\/span>Facebook<\/span><\/a>, <\/span>Twitter<\/span><\/a>, <\/span>Youtube<\/span><\/a>, dan <\/span>Official Account LINE<\/span><\/a> biar kamu gak ketinggalan info seputar kampus, karir, dunia mahasiswa, beasiswa, dan info menarik lain.<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    Hallo Campuspedia Friends! Prospek kerja dalam dunia digital semakin beragam setiap saat. Melihat betapa besar dan meluasnya pangsa pasar digital, tentunya ada beberapa prospek kerja baru yang tidak terlalu familiar. Bahkan kadang mereka serumpun, namun ada saja perbedaan yang membedakan tugas keduanya. Buat kalian yang masih bingung tentang perbedaan kedua pekerjaan tersebut, yuk bisa baca […]<\/p>\n","protected":false},"author":1293,"featured_media":19070,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[137,76],"tags":[56158,22506,28354,56159,11710],"yoast_head":"\nSuka Olah Data Tapi Bingung Bedanya Data Analyst dan Scientist?<\/title>\n<meta name=\"description\" content=\"Sebelum berkarir pada dunia olah data, sebaiknya kamu tau dulu perbedaan antara Data Analyst & Data scientist. 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