Data Mining Project
Key Takeaways
Guides learners through designing and implementing a real-world data mining project
Original Description
Data Mining Project offers step-by-step guidance and hands-on experience of designing and implementing a real-world data mining project, including problem formulation, literature survey, proposed work, evaluation, discussion and future work.
This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Course logo image courtesy of Mariana Proença, available here on Unsplash: https://unsplash.com/photos/_WgnXndHmQ4
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
The Creator Economy Has a Geography Problem. We Built Around It.
Medium · Startup
Tencent moves to sell up to $1.6B of its Kuaishou stake
The Next Web AI
Sell BEFORE You Build. I Learned It the Expensive Way.
Medium · AI
Sell BEFORE You Build. I Learned It the Expensive Way.
Medium · Startup
🎓
Tutor Explanation
DeepCamp AI