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CourseraApplied Data Science Capstone
4.7(7,426)206k studentsINTERMEDIATEEnglish
Korshub's take
A real data science project, start to finish
The capstone for both the IBM Data Science Professional Certificate and the Applied Data Science with Python Specialization, this course puts you in the role of a data scientist at a startup competing with SpaceX — running the full methodology from data collection through wrangling and exploration.
Who it's for
An intermediate-level course intended for learners who've already built up Python and data science fundamentals and want a capstone project to prove it. 206,380 learners have completed it.
What you'll take away
- End-to-end data collection and web scraping
- Data wrangling and compilation for real analysis
- Hands-on GitHub workflow for a portfolio-ready project
Because it's a capstone rather than a tutorial, it's genuinely useful as portfolio evidence — a real project you can point to, not just a certificate.
About this course
This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets.
In this course you will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, explo
Skills you'll gain: Data Wrangling, Data Compilation, Data Collection, Web Scraping, GitHub.
Access
Coursera PlusIncluded with a Coursera subscription
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