Data Science Specialization

The Data Science Specialization on the Coursera platform is composed of 10 course series:

1. The Data Scientist’s Toolbox
2. R Programming
3. Getting and Cleaning Data
4. Exploratory Data Analysis
5. Reproducible Research
6. Statistical Inference
7. Regression Models
8. Practical Machine Learning
9. Developing Data Products
10. Data Science Capstone

This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

This course is available in 27 languages: English (Original), Deutsch (Auto), हिन्दी (ऑटो), Русский (авто), Svenska (auto), 한국어 (자동), Ελληνικά (αυτόματο), Português (Brasil) (auto), Italiano (auto), Français (aut.), Magyar (automata), Español (auto), 中文（简体） (自动), العربية (آلي), Tiếng Việt (tự động), ไทย (อัตโนมัติ), Українська (авто), 日本語 (オート), Bahasa Indonesia (otomatis), Polski (automatyczny), Nederlands (auto), Türkçe (otomatik), Қазақша (auto), Azərbaycan dili (avto), دری (خودکار), پښتو (خودکار). Video subtitles only: বাংলা, اردو

*Access to this course requires the user to register or create an account on the course platform