ITI 470 - Data Analytics Practitioner - Introduction
Registration Option: Open Enrollment
Total Course Hours: 12
The first course of the program series— this class aims to establish students’ knowledge of career paths, technology, and concepts in data. Explore the workforce outlook for the field of data science and analytics and differentiate between job roles. Identify various data storage tools and data retrieval methods. Define statistical, analytical, and machine learning techniques used to derive findings. Recognize common visualization types and best practices for data storytelling. This is an open enrollment class. Students intending to take the Data Analytics Practitioner 100-hr class must take this class.
Prerequisites: Ability to navigate in a Windows environment including file management skills. Knowledge of MS Excel, statistical concepts, and programming recommended.
- Be able to differentiate between the field of data science and data analytics
- Be able to identify various data storage tools and data retrieval methods
- Be able to recognize common visualization types and best practices for data storytelling.
- Provide a foundation to Data Analytics Practitioner class.