Database to AI: Practical Data Analytics Integration
By Coursera
on Coursera
· Data Science
About This Course
This course introduces the fundamental concepts and emerging technologies in database design and modeling, database systems, data storage, and data governance. It presents a balanced theory-practice focus and covers entity relationship model and UML model, relational model, relational databases, Structured Query Language, and two flavors of NoSQL databases in MongoDB and Neo4j graph database. It also includes a brief introduction to big data management including hadoop, MapReduce, and Apache Spark. This course provides the theory and applications of database management to support data analytics, data mining, machine learning, and artificial intelligence.
Instructor
Xuemin Jin
Frequently Asked Questions
How much does Database to AI: Practical Data Analytics Integration cost?
Visit the Database to AI: Practical Data Analytics Integration course page for current pricing and available discounts.
Who teaches Database to AI: Practical Data Analytics Integration?
Database to AI: Practical Data Analytics Integration is taught by Xuemin Jin, Northeastern University .
What skill level is Database to AI: Practical Data Analytics Integration for?
This course is designed for beginner learners.