Sertifikat Berbayar Lanjutan Data Science

MicroMasters Statistik dan Ilmu Data MIT

MIT

Kembangkan dasar yang kuat dalam probabilitas, statistik, pembelajaran mesin, dan analisis data melalui program MicroMasters tingkat pascasarjana dari Massachusetts Institute of Technology. Mencakup empat kursus ketat ditambah ujian batu penjuru di berbagai jalur khusus.

Durasi

14 months

Tingkat

Lanjutan

Batas Waktu

Tanpa Batas Waktu

🌐 Bahasa tersedia: English
📅 Terakhir diperbarui: 2026-03-24

📋 Prasyarat

College-level calculus (single and multivariable), basic linear algebra, and comfort with mathematical reasoning. Familiarity with Python programming is strongly recommended.

👥 Untuk Siapa Kursus Ini

  • Aspiring data scientists seeking rigorous graduate-level training
  • Working professionals looking to transition into data science roles
  • Researchers who want to strengthen their statistical and machine learning skills
  • Students considering a master's degree with MIT credit pathway

📚 Apa Yang Akan Anda Pelajari

1

Probability — The Science of Uncertainty and Data

2

Data Analysis in Social Science — Assessing Your Knowledge

3

Fundamentals of Statistics

4

Machine Learning with Python — From Linear Models to Deep Learning

5

Capstone Exam in Statistics and Data Science

🏛️ Tentang Institusi — MIT

The Massachusetts Institute of Technology (MIT) is a world-renowned research university known for its leadership in science, engineering, and technology. Its Institute for Data, Systems, and Society (IDSS) develops this program.

Didirikan

1861

Lokasi

Cambridge, Massachusetts, USA

Pengakuan

QS World Ranking #1 (2026)

❓ Pertanyaan yang Sering Diajukan

Can I take the MIT Statistics and Data Science MicroMasters for free?
Yes, you can audit all courses in this program for free on the course platform, with full access to lectures, readings, and assignments. A verified certificate is available through financial aid — our step-by-step guide shows you how to apply.
What career opportunities does this MicroMasters open up?
Completing the program prepares you for roles such as data scientist, machine learning engineer, quantitative analyst, and research scientist. The credential is also recognized by multiple universities for credit toward a full master's degree.
How difficult is this program compared to on-campus MIT courses?
The courses are taught by MIT faculty at a similar pace and level of rigor as on-campus courses. The program is challenging and requires strong mathematical foundations, but the self-paced format allows you to manage the workload across 14 months.

📖 Dapatkan Panduan Langkah demi Langkah

Panduan lengkap dengan tangkapan layar, tips, dan pemecahan masalah

  • Panduan pendaftaran langkah demi langkah
  • Tutorial screenshot untuk setiap langkah
  • Kesalahan umum yang harus dihindari
  • Tips menyelesaikan lebih cepat
  • FAQ dan pemecahan masalah
$9,99 — Dapatkan Panduan Langkah demi Langkah