The Global Institute of Technology 'Data Analytics and Knowledge Mining ' is a Certification program designed to prepare learners for entry to mid-level employment opportunities in the field of Artificial Intelligence related Data Analytics and Knowledge Mining. Throughout this program, students will Embark on a comprehensive journey into the world of data analytics and knowledge mining with our course. Gain a solid introduction to these dynamic fields and discover the critical role data plays in decision-making.
Learn how to assess and ensure data quality, a foundational step in the data analytics process. Delve into statistics and data visualization to extract meaningful insights and create compelling visualizations.
Unlock the power of machine learning and AI for data analytics, including supervised and unsupervised learning algorithms. Dive into the realm of text, web, and social media analytics, uncovering valuable insights from diverse data sources.
Explore the challenges and opportunities of big data analytics and harness the potential of knowledge mining and discovery techniques. Plus, master optimization techniques for resource allocation and decision-making.
By the end of this course, you'll be equipped with the knowledge and skills to extract actionable insights from data, making informed decisions in a data-driven world.
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):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.