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.
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
![AI-900: Azure AI Fundamentals Practice Tests [2025]](https://i.udemycdn.com/course/480x270/6600067_4d5b_6.jpg)
Udemy
Coursera
edX
Compared on these lists
Where this course ranks against the alternatives.