This program is designed for professionals with at least 12 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

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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