Daftar Isi Tutorial Belajar Data Science

BAB 1 Mengenal Data dan Data Science

  1. Pengertian Data, Informasi, dan Pengetahuan
  2. Data Kuantitatif dan Kualitatif serta Contohnya
  3. Pengertian Data Science dan Data Scientist
  4. Tools atau Software Populer Data Scientist
  5. Mengenal Big Data dan Big Data Analytics
  6. Skill Utama Menjadi Seorang Data Scientist
  7. Jenis Tugas Data Scientist
  8. Real Life Data: Kebocoran Data Facebook

Success Story: Having been trained as a computer scientist in the ’90s, everybody knew that AI didn’t work. People tried it. They tried neural nets, and none of it worked (Sergey Brin – Founder of Google)

BAB 2 Bahasa Pemrograman & Software Data Science

  1. Microsoft Excel: Software analisis data terpopuler
  2. MATLAB: Analisis data, membangun algoritma, dan membuat model
  3. Python: Bahasa pemrograman populer untuk data science
  4. SPSS: Software statistik terpopuler

BAB 3 Machine Learning

Professional Quote: Machine learning is taught by academics, for academics. That’s why most material is so dry and math-heavy (Jason Brownlee – Academic Researcher).

  1. Apa itu Machine Learning dan Cara Kerjanya
  2. Manfaat dan Contoh Penerapan Machine Learning
  3. Cara Kerja Algoritma K-Nearest Neighbors (KNN)

BAB 4 Big Data Engineering

  1. Pengertian dan Fungsi Hadoop dalam Big Data

Nantikan update tutorial BAB berikutnya di halaman ini. Terima kasih telah mengunjungi tutorial Advernesia 🙂

Tutorial Belajar Data Science Indonesia