Data Management for Analytics Part 2

Coursera MOOC / Non-credit USD 49
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Data Management for Analytics Part 2

About this course

This course will offer you an opportunity to learn the fundamental concepts and emerging technologies in data storage and data governance. It presents a balanced theory-practice focus and covers 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. By the end of this part 2 course on data analytics, you will have a foundational understanding of the theory and applications of database management to support data analytics, data mining, machine learning, and artificial intelligence.

What you'll learn

  • understand fundamental concepts and emerging technologies in data storage
  • execute queries using Structured Query Language
  • work with NoSQL databases such as MongoDB and Neo4j
  • gain insights into big data management techniques including Hadoop and Apache Spark

Course objectives

  • provide foundational knowledge in database management
  • prepare for practical applications in data analytics and machine learning

Skills you'll gain

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