Foundations of Data Analytics
About this Course
Foundations of Data Analytics: This course will provide fundamental techniques for data analytics, including data collection, data extraction, data integration, data cleansing, and basic machine learning techniques. The learners will learn how to manage and optimize the analytics value chain, including collecting and extracting the suitable values, selecting the right data processing, integrating the data from various resources, with programming tools such as Python. This course will also introduce data security and privacy.Created by: The Hong Kong University of Science and Technology
Level: Intermediate
Related Online Courses
This course is a practical introduction to Istio, designed for anyone who wishes to build on their knowledge of Linux, Docker, and Kubernetes to learn how to install and configure a service mesh... more
IBM Cloud PowerVC Manager, an Infrastructure as a Service (IaaS) enabling software, provides a self-service cloud console for managing IBM Power Systems. It is built on OpenStack. OpenStack is a... more
This quantum computing course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write... more
Develop a good working knowledge of Linux using both the graphical interface and command line, covering the major Linux distribution families. Linux powers 100% of the world’s supercomputers, m... more
Real time operating systems (RTOS) play an important role in any embedded system, enabling users to control the time critical functions required to be handled within specific timeframes for the... more
Powered by
