Prepare for the CompTIA Data+ (DA0-001) Exam

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Free Online Course: Prepare for the CompTIA Data+ (DA0-001) Exam provided by LinkedIn Learning is a comprehensive online course. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Prepare for the CompTIA Data+ (DA0-001) Exam is taught by Mike Chapple.

Overview
  • Are you seeking your CompTIA Data+ certification? This course is part of a six-course series preparing you for the Data+ exam. In this learning path, Mike Chapple, a professor of information technology, analytics, and operations, walks you through each of the five exam objectives.

    • Learn how CompTIA Data+ certification can help your career.
    • Explore the five exam objectives to learn what to study for.
    • Learn how to prepare for the exam.

Syllabus
  • Courses under this program:
    Course 1: CompTIA Data+ (DA0-001) Cert Prep: The Basics
    -Learn about the key elements of the CompTIA Data+ certification program.

    Course 2: CompTIA Data+ (DA0-001) Cert Prep: Domain 1.0 Data Concepts and Environments
    -Learn about data schemas and dimensions, different data types, common data structures, and file formats, so that you can pass domain 1 of the CompTIA Data+ (DAO-001) exam.

    Course 3: CompTIA Data+ (DA0-001) Cert Prep: Domain 2.0 Data Mining
    -Learn about data mining as you prepare for the CompTIA Data+ (DA0-001) exam.

    Course 4: CompTIA Data+ (DA0-001) Cert Prep: Domain 3.0 Data Analysis
    -Explore strategies in data analysis and prepare for the CompTIA Data+ certification exam.

    Course 5: CompTIA Data+ (DA0-001) Cert Prep: Domain 4.0 Visualization
    -Explore how to use visualizations to communicate the results of your data analysis as you prepare for the Data+ certification exam.

    Course 6: CompTIA Data+ (DA0-001) Cert Prep: Domain 5.0 Data Governance, Quality, and Controls
    -Explore the world of data governance as you prepare for the CompTIA Data+ (DAO-001) exam. Learn about data stewardship responsibilities, maintaining data quality, and more.