CompTIA Data+ (DAO-001)Certification

Closed Caption

Certificate

Dedicated Tutors

74 Videos
5.54 Hrs
91 Test Questions

CompTIA Data+ (DAO-001)Certification

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

5.54 Hrs
74 Videos

CompTIA Data+ (DAO-001)Certification

Course Description

5.54 Hrs

74 Videos

CompTIA Data+ (DAO-001) Certification

The CompTIA Data+ certification is designed for data professionals who want to validate their skills in data analytics and management. It equips individuals with the knowledge to analyze, interpret, and manage data for informed business decision-making. This entry-level certification focuses on key areas of data management, analysis, reporting, and visualization.

Key Areas Covered:

  • Data Mining and Analysis: Provides essential skills for collecting, organizing, and analyzing data to identify trends, patterns, and insights.
  • Data Visualization: Teaches how to effectively present data using charts, graphs, and dashboards to communicate findings clearly to stakeholders.
  • Data Governance and Quality: Covers the principles of maintaining data accuracy, privacy, and security, ensuring compliance with industry standards.
  • Business Insights and Reporting: Helps candidates understand how to transform data into actionable insights for decision-making, focusing on generating meaningful reports.
  • Data Lifecycle Management: Explores the complete data lifecycle, from collection and storage to disposal, ensuring efficient data management.

Benefits of CompTIA Data+:

  • Career Growth: Prepares individuals for roles such as data analyst, business analyst, and data reporting specialist, providing a pathway into data-driven careers.
  • Industry-Recognized: A globally recognized credential that demonstrates competency in essential data analytics skills, making candidates more attractive to employers.
  • Foundation for Advanced Roles: Lays the groundwork for more specialized data certifications and career advancement in fields like data science and business intelligence.

CompTIA Data+ is an ideal certification for professionals looking to enhance their data analytics skills and contribute to informed decision-making within organizations.

Course Syllabus

Introduction To CompTIA Data+

  •    Course Welcome
  •    Module Overview
  •    Instructor Introduction
  •    What is the CompTIA Data Plus Exam
  •    Roles that should consider the exam
  •    Exam Objectives
  •    Discussion – The Importance of Data
  •    US DOD Member Data Directives and 8570

Module 1 – Data Concepts and Environments

  •    1.1 Module Overview
  •    1.2 Understanding Data Schemes
  •    1.3 Databases
  •    1.4 Demonstration – Google Cloud SQL
  •    1.5 Data Warehouses and Data Lakes
  •    1.7 Comparing OLTP and OLAP Processing
  •    1.8 Demonstration – AWS Redshift
  •    1.9 Demonstration – Deploy SQL DemoBench
  •    1.10 What is Column Database
  •    1.11 Data Structures, Files and Types
  •    1.12 Module Summary Review
  •    1.13 Module Review Questions

Module 2 – Data Mining

  •    2.1 Module 2 Overview
  •    2.2 Data Acquisition and Integration
  •    2.3 Demonstration – Data Integration Techniques
  •    2.4 API Fundamentals
  •    2.5 Demonstration – Google Vision API
  •    2.6 Data Profiling and Cleansing
  •    2.7 Data Collection Method Options
  •    2.8 Data Outliers
  •    2.9 Understanding ETL and ELT
  •    2.10 Query Optimization
  •    2.11 Understanding Data Manipulation Techniques
  •    2.12 Module Summary Review
  •    2.13 Module Review Questions

Module 3 – Data Analysis

  •    3.1 Module Overview
  •    3.2 Descriptive Statistical Methods
  •    3.3 Measures of Tendency and Dispersion
  •    3.4 Understanding Percentages
  •    3.5 Inferential Statistical Methods
  •    3.6 Hypothesis Testing with Excel
  •    3.7 Whiteboard – Linear Regression and Correlation
  •    3.8 Whiteboard – Analysis Testing
  •    3.9 Module Summary Review
  •    3.10 Module Review Questions

Module 4 – Data Visualization

  •    4.10 Module Review Questions
  •    4.1 Module Overview
  •    4.2 Translate Business Requirements to Reports
  •    4.3 Whiteboard – Translate Business Requirements
  •    4.4 Dashboard Fundamentals
  •    4.5 Demonstration – Dashboard Components
  •    4.6 Data Sources and Attributes
  •    4.7 Understanding Chart and Graphs
  •    4.8 Reports Type and Elements
  •    4.9 Module Summary Review

Module 5 – Data Governance, Quality and Controls

  •    5.1 Module Overview
  •    5.2 Introduction to Data Governance
  •    5.3 The Data Lifecycle
  •    5.4 Determining Data Classification
  •    5.5 Data Ownership
  •    5.6 Data Storage Access
  •    5.7 Data Privacy and Frameworks
  •    5.8 Information Rights Management (IRM) and Data Loss Prevention (DLP)
  •    5.9 Setting Data Quality Control
  •    5.10 Methods to Validate Quality
  •    5.11 Data Transformation Tools
  •    5.12 Data Security Fundamentals
  •    5.13 Master Data Management (MDM)
  •    5.14 Module Summary Review
  •    5.15 Module Review Questions

Module 6 – Exam Preparation and Practice Exams

  •    6.1 Module Overview
  •    6.2 Course Summary Review
  •    6.3 Data Plus Exam Experience
  •    6.4 Certification CEU Requirements
  •    6.5 Practice Exams-Additional Resources
  •    6.6 Course Closeout

Course Highlights

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

CompTIA Data+ (DAO-001) Certification

The CompTIA Data+ certification is designed for data professionals who want to validate their skills in data analytics and management. It equips individuals with the knowledge to analyze, interpret, and manage data for informed business decision-making. This entry-level certification focuses on key areas of data management, analysis, reporting, and visualization.

Key Areas Covered:

  • Data Mining and Analysis: Provides essential skills for collecting, organizing, and analyzing data to identify trends, patterns, and insights.
  • Data Visualization: Teaches how to effectively present data using charts, graphs, and dashboards to communicate findings clearly to stakeholders.
  • Data Governance and Quality: Covers the principles of maintaining data accuracy, privacy, and security, ensuring compliance with industry standards.
  • Business Insights and Reporting: Helps candidates understand how to transform data into actionable insights for decision-making, focusing on generating meaningful reports.
  • Data Lifecycle Management: Explores the complete data lifecycle, from collection and storage to disposal, ensuring efficient data management.

Benefits of CompTIA Data+:

  • Career Growth: Prepares individuals for roles such as data analyst, business analyst, and data reporting specialist, providing a pathway into data-driven careers.
  • Industry-Recognized: A globally recognized credential that demonstrates competency in essential data analytics skills, making candidates more attractive to employers.
  • Foundation for Advanced Roles: Lays the groundwork for more specialized data certifications and career advancement in fields like data science and business intelligence.

CompTIA Data+ is an ideal certification for professionals looking to enhance their data analytics skills and contribute to informed decision-making within organizations.

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