Big Data Technology

The Hong Kong University of Science and Technology via edX MicroMasters

edX MicroMasters based on 0 ratings

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Overview

This course provides an introduction to the technologies used to process and analyze big data. Students will learn about distributed computing frameworks like Hadoop and Spark, which allow organizations to store and process vast amounts of data across multiple servers. The course covers key topics such as data storage (No SQL databases), data processing pipelines, and cloud computing platforms. Students will also explore tools for big data analytics, including machine learning algorithms for large-scale data. By the end of the...

Syllabus

Courses under this program:Course 1: Foundations of Data AnalyticsLearn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.Course 2: Data Mining and Knowledge DiscoveryLearn how to discover knowledge in data via data mining.Course 3: Big Data Computing with SparkLearn the theory and gain hands-on experience of big data systems, using Spark as the exemplary platform.Course 4: Mathematical Methods for Data AnalysisLearn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.Course 5: Big Data Technology Capstone ProjectThe Big Data Technology Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this MicroMasters program to a medium-scale project.