Program Overview
This ‘Intermediate AI and Data Analytics’ training program is designed for learners who have foundational knowledge of artificial intelligence and data analytics. The course builds on basic concepts and introduces advanced methodologies, practical applications, and critical thinking skills needed to work with AI and data analytics technologies.
Flexible Scheduling Options
- 180 Instructor hours
Courses
- Identifying Basic Concepts of Data Schemas
- Understanding Different Data Systems
- Understanding Types and Characteristics of Data
- Comparing and Contrasting Different Data Structures, Formats, and
Markup Languages - Explaining Data Integration and Collection Methods
- Identifying Common Reasons for Cleansing and Profiling Data
- Executing Different Data Manipulation Techniques
- And more…
Prerequisites
- Completion of related intro programs and/or credential.
Program Objectives
The Intermediate AI and Data Analytics program prepares you are an early to mid-career in data analytics and management.
What You Will Learn
This program prepares learners to take the CompTIA Data+ credential exam.
- Identifying Basic Concepts of Data Schemas: Learn the foundational concepts of data schemas and their importance in data analytics.
- Understanding Different Data Systems: Gain insights into various data systems and their applications.
- Understanding Types and Characteristics of Data: Explore different types of data and their unique characteristics.
- Comparing and Contrasting Different Data Structures, Formats, and Markup Languages: Understand the differences between various data structures and formats.
- Explaining Data Integration and Collection Methods: Learn about different methods for integrating and collecting data.
- Identifying Common Reasons for Cleansing and Profiling Data: Discover why data cleansing and profiling are essential.
- Executing Different Data Manipulation Techniques: Master various techniques for manipulating data.
- And more…
Where Do I Go From Here?
Career Paths after Enterprise AI and Data Analytics:
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