This program integrates a variety of topics to allow students to learn the fundamental facets of big data and how it is used in the real world. Topics include mathematical foundations (convex/non-convex optimization and computational methods), data analytics (from data collection, integration, cleansing, mining, machine learning, to business intelligence), and data processing infrastructures (MapReduce, Hadoop, Apache Spark, SQL).
Read more
This program integrates a variety of topics to allow students to learn the fundamental facets of big data and how it is used in the real world. Topics include mathematical foundations (convex/non-convex optimization and computational methods), data analytics (from data collection, integration, cleansing, mining, machine learning, to business intelligence), and data processing infrastructures (MapReduce, Hadoop, Apache Spark, SQL).
This program integrates a variety of topics to allow students to learn the fundamental facets of big data and how it is used in the real world. Topics include mathematical foundations (convex/non-convex optimization and computational methods), data analytics (from data collection, integration, cleansing, mining, machine learning, to business intelligence), and data processing infrastructures (MapReduce, Hadoop, Apache Spark, SQL).
The courses in this program are offered by renowned faculty members from the Computer Science and Engineering Department and the Mathematics Department at HKUST. HKUST ranks at the 30th in Computer Science and Information Systems and 36th in Mathematics according to 2021 QS World University Rankings by Subject.
What's inside
Five courses
Foundations of Data Analytics
(64 hours)
Foundations of Data Analytics
(64 hours)
Data Mining and Knowledge Discovery
(1 hours)
Data Mining and Knowledge Discovery
(1 hours)
Big Data Computing with Spark
(64 hours)
Big Data Computing with Spark
(64 hours)
Mathematical Methods for Data Analysis
(64 hours)
Mathematical Methods for Data Analysis
(64 hours)
Big Data Technology Capstone Project
(24 hours)
Big Data Technology Capstone Project
(24 hours)Learning objectives
- Identify, explain, and use big data infrastructure.
- Solve big data integration and storge problems.
- Perform various data analytics tasks using big data management and computing techniques.
- Investigate existing problems on big data and conduct original big data research.
- Identify, explain, and use big data infrastructure.
- Solve big data integration and storge problems.
- Perform various data analytics tasks using big data management and computing techniques.
- Investigate existing problems on big data and conduct original big data research.
Save this collection
Save
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
