Intermediate AI and Data Analytics
This 16-week program is designed for professionals with at least 18 months of work
experience in data analytics. The program covers a wide range of topics to enhance
your understanding and skills in data analytics and AI.
Intermediate AI and Data Analytics
16 Week Program
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
At least 18 months of work
experience in data analytics.
Class Time Options
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 analytics2. - 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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