Intermediate AI and Data Analytics
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.
This program prepares learners to take the CompTIA Data+ credential exam.
What You Will Learn
- 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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