• Classroom
  • Online, Instructor-Led
  • Online, Self-Paced

Learning Objectives

Upon completing this course on Data Analytics and Knowledge Mining, students will achieve the following objectives:
- Get introduction to Data Analytics and Knowledge Mining
- Understand Data and its Quality
- Explore Statistics and Data Visualization
- Learn Machine Learning and AI for Data Analytics
- Understand Supervised and Unsupervised Learning Algorithms
- Master Text, Web, and Social Media Analytics
- Explore Big Data Analytics
- Learn Knowledge Mining and Discovery
- Deploy Optimization Techniques
By achieving these course objectives, students will gain a comprehensive skill set in data analytics, ranging from data collection and preprocessing to advanced statistical analysis, machine learning, and addressing ethical considerations, ultimately equipping them for careers in data-driven decision-making across various industries.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):