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2020-12-08 22:31:01
30-Day Money-Back Guarantee

This course includes:

  • 5.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
IT & Software Other IT & Software Data Science

Data Science Foundation

Dasar-Dasar Data Science untuk Pemula
Hot & New
Rating: 4.7 out of 54.7 (4 ratings)
19 students
Created by IYKRA Indonesia
Last updated 10/2020
Indonesian
30-Day Money-Back Guarantee

What you'll learn

  • Pengenalan Data Science
  • Pengenalan dan penerapan konsep Visualisasi Data
  • Pengenalan dasar koding Python, query SQL, dan perintah UNIX server
  • Pengenalan dasar Statistika dalam Data Science
  • Keterampilan nonteknis sebagai Data Scientist
  • Hukum dan peraturan seputar data

Requirements

  • Memiliki pengetahuan ilmu matematika dan logika dasar
  • Memiliki laptop yang dapat diinstall dengan beberapa alat bantu seperti Tableau Public, Anaconda khususnya Python, dan SQL.

Description

Harvard Business Review sangat berjasa dalam memopulerkan profesi Data Scientist. Dalam artikel yang mereka rilis pada Oktober 2012, mereka menekankan bahwa Data Scientist merupakan pekerjaan paling seksi di abad 21. Di mana pun, tidak terkecuali Indonesia, bertebaran lowongan pekerja profesional data dengan iming-iming gaji besar.

Seiring dengan membludaknya minat anak-anak muda berprofesi sebagai data scientist, tentunya persaingan semakin ketat dan menuntut setiap dari kandidat untuk memiliki kualitas dan karakter yang unik.

Kelas Data Science Foundation ini hadir di tengah keringnya kelas-kelas data science daring berbahasa Indonesia yang dekat dengan penerapannya di bidang industri. Dirancang dan dipandu oleh Bernardus Ari Kuncoro, S.T., M.T.I., Head of Analytics Center of Excellence di IYKRA. Seseorang yang telah lebih dari enam tahun malang melintang di dunia profesional data Indonesia, membuat kelas ini lebih menarik dan aplikatif. Tidak hanya berteori. Temukan kekuatan dasar dan inspirasi untuk menjadi profesional data yang kreatif dan ulung!

Setelah mengikuti kelas ini, Anda diharapkan dapat:

  • Menjadi Data Scientist Junior handal yang dapat memenuhi tugas-tugas dasar sebagai seorang Data Scientist,

  • Meningkatkan keingintahuan sebesar-besarnya untuk belajar data science, dan

  • Membangun pola pikir (mindset) sebagai problem solver yang kreatif.


Who this course is for:

  • Pemula yang belum pernah terjun langsung di bidang data science
  • Senior management level yang ingin mengetahui proses data science

Course content

6 sections • 90 lectures • 5h 17m total length

  • Preview03:28
  • Kelas ini ditujukan untuk siapa?
    01:26
  • Perkenalan Mentor
    00:31
  • Tiga pilar Data Science
    05:47
  • Pop Quiz #1
    3 questions
  • Kemampuan Non Teknis yang diperlukan
    03:10
  • Di manakah kamu sebaiknya belajar?
    05:30
  • Rencana pembelajaran
    03:39
  • Pop Quiz #2
    5 questions
  • Tips dan Trik untuk mendapatkan pekerjaan sebagai data scientist
    05:23
  • History of Big Data
    08:00
  • CRISP DM
    05:41
  • Pop Quiz #3
    5 questions
  • Kehidupan seorang data scientist
    02:04
  • Pilih track yang cocok untuk kalian!
    02:50
  • Quiz #1
    10 questions

  • Perkembangan Ilmu Visualisasi Data
    05:20
  • Pop Quiz
    2 questions
  • Preview01:09
  • Konsep visualisasi
    03:23
  • Pop Quiz
    1 question
  • Alasan mengapa visualisasi data diperlukan
    03:24
  • Tujuan dari visualisasi data
    05:09
  • Contoh visualisasi data dengan tujuan explanatory, exploratory, dan confirmatory
    02:45
  • Pemahaman tentang Data yang menyeluruh
    02:46
  • Proses Visualisasi
    02:18
  • 3 Sistem koordinat visualisasi
    05:26
  • 12 jenis Visual yang sering Dipakai
    07:07
  • Kamu mau visualisasi seperti apa?
    08:56
  • Memilih jenis visualisasi yang tepat!
    04:48
  • Pop Quiz
    3 questions
  • Tableau
    03:00
  • Tugas Pengenalan Tableau
    1 question
  • Power BI
    01:09
  • Tugas Pengenalan PowerBI
    1 question
  • Python Plotly
    01:29
  • Tugas Pengenalan Python Plotly
    1 question
  • R - Shiny
    00:55
  • Tugas Pengenalan R Shiny
    1 question
  • Pop Quiz
    10 questions
  • Menginstall Tableau di komputer (Mac dan PC)
    09:18
  • Pop Quiz
    1 question
  • Mengkoneksikan data dengan Tableau (csv, database).
    03:14
  • Pop Quiz
    3 questions
  • Menyusun wireframe (sketsa) visualisasi
    06:34
  • Pop Quiz
    1 question
  • Membuat calculated field
    03:13
  • Pop Quiz
    1 question
  • Membuat grafik scatter plot
    02:53
  • Pop Quiz
    2 questions
  • Membuat grafik bar chart
    03:01
  • Pop Quiz
    2 questions
  • Mengeplot data geolokasi dalam peta (titik dan shape)
    03:18
  • Pop Quiz
    2 questions
  • Menggunakan fungsi filtering untuk kesan interaktif
    04:39
  • Pop Quiz
    1 question
  • Memvalidasi apakah visualisasi mudah/sulit dimengerti
    07:49
  • Pop Quiz
    1 question
  • Latihan Menggali Insight dengan Menggunakan Tableau
    02:47

  • Preview01:53
  • Pop Quiz
    1 question
  • SQL Server dan Client
    01:40
  • Install SQL Environment (SQL menggunakan PostGreSQL)
    00:10
  • Pop Quiz
    1 question
  • Data Definition Language (Create table, delete table, drop table)
    08:26
  • Tugas Membuat dan Mengisi Tabel
    3 questions
  • Data Manipulation Language
    07:11
  • Exercise Coding SQL Data Manipulation Language
    5 questions
  • Python
    01:45
  • Pop Quiz
    1 question
  • Bagaimana Cara menginstall Python - Anaconda?
    01:40
  • Menggunakan Jupyter notebook
    02:58
  • Pop Quiz
    2 questions
  • Variable, Tipe Data, operasi dasar matematika dan logika
    07:31
  • Struktur data
    02:51
  • Kuis Struktur Data Python
    3 questions
  • Fungsi dan method dalam Python
    02:38
  • Quiz
    2 questions
  • If else statement
    03:15
  • Quiz
    1 question
  • Loop Statement
    02:07
  • Quiz
    1 question
  • Library yang sebaiknya diketahui dalam bidang Data Science
    01:32
  • How to import data in python (csv)
    03:31
  • Mengapa belajar Shell Scripting? Apa itu Shell Scripting?
    01:20
  • Bagaimana cara belajar mempraktekkannya?
    11:10
  • Berkenalan dengan Crontab
    05:22
  • Quiz
    4 questions

  • Preview02:39
  • Pop Quiz
    3 questions
  • Populasi dan Sampel
    09:59
  • Pop Quiz
    5 questions
  • Rerata (Mean, Median, Modus)
    05:01
  • Penyebaran Data (Varians, Std Deviasi, Rentangan, Quartil)
    07:47
  • Kovarian, Korelasi, Kausalitas
    06:20
  • Pop Quiz
    11 questions
  • Supervised Learning: Regresi
    02:02
  • Tugas Regresi
    1 question
  • Supervised Learning: Klasifikasi
    01:20
  • Tugas Klasifikasi
    1 question
  • Unsupervised Learning: Clustering
    01:26
  • Tugas Clustering
    1 question
  • Pop Quiz
    4 questions
  • Pengayaan: Semi Supervised Learning
    01:29

  • Memahami tujuan presentasi
    04:15
  • Membuat konten yang baik
    04:27
  • Membuat design slide yang keren
    03:08
  • Menyampaikan presentasi dengan baik
    04:02
  • Pop Quiz
    6 questions
  • 4 tim dalam proyek Data Science
    02:27
  • 4 tugas besar dalam Data Science
    02:17
  • Proses dalam Project Manajemen
    01:37
  • Pop Quiz
    2 questions
  • Cara bekerja dalam Proyek Data Science, kunci utamanya: Komunikasi.
    02:15
  • Komunikasi tertulis
    05:00
  • Komunikasi lisan
    03:19
  • Quiz
    3 questions

  • Preview05:54
  • Perlindungan Data di Indonesia
    01:28
  • Pop Quiz
    3 questions
  • Overview Permen Kominfo No.20 tahun 2016
    01:00
  • Ketentuan Umum
    01:05
  • Pop Quiz
    3 questions
  • Perlindungan
    01:02
  • Hak Pemilik Data Pribadi
    02:50
  • Kewajiban Pengguna
    02:04
  • Kewajiban Penyelenggara Sistem Elektronik
    02:40
  • Pop Quiz
    3 questions
  • Penyelesaian Sengketa
    01:21
  • Pop Quiz
    3 questions
  • Peran Pemerintah dan Masyarakat
    02:18
  • Pop Quiz
    2 questions
  • Pengawasan
    00:34
  • Pop Quiz
    3 questions
  • Sanksi Administratif
    01:33
  • Pop Quiz
    2 questions
  • Ketentuan Lain
    00:47
  • Ketentuan Peralihan
    01:05
  • Ketentuan Penutup
    01:05
  • Quiz
    2 questions

Instructor

IYKRA Indonesia
Crafting data, business and technology capabilities
IYKRA Indonesia
  • 4.7 Instructor Rating
  • 4 Reviews
  • 19 Students
  • 1 Course

IYKRA is an education platform for technology focusing on developing professionals'​ and organizations'​ capability in business, data, and technology.

IYKRA was established in 2017 by a group of experienced professionals with proven portfolio and credentials. We strive to bring cutting-edge knowledge and industry best practices to advance the skills of the future workforce in collaboration with experts of the industry in order to keep up with the ever-changing challenges. We have provided customized services to multinational blue chip companies and currently expanding our products for public through comprehensive blended learning methods.

Current technology knowledge areas include: Data science, Data engineering, Business Intelligence, and Business Analytics



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