CompTIA Data+ (DAO-001)

Course Level: Beginner
Duration: 5 Hrs 54 Min
Total Videos: 74 On-demand Videos

Master the world of data analytics with our comprehensive CompTIA Data+ Certification Prep course. Designed for both beginners and seasoned professionals, this course offers in-depth knowledge of data management, data visualization, and prepares you for the CompTIA Data+ (DAO-001) certification exam, unlocking high-demand job roles and boosting your career potential.

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Learning Objectives

01

Gain an in-depth understanding of the CompTIA Data+ Exam, its objectives, and its importance.

02

Master various data concepts, data schemes, and learn to navigate different data environments.

03

Acquire comprehensive knowledge of data mining, including data integration techniques and query optimization.

04

Develop skills in descriptive and inferential statistical methods and understand data analysis techniques.

05

Learn to translate business requirements into reports and create effective data visualizations.

06

Understand the principles of data governance, data quality, and controls, and explore data lifecycle and classification.

07

Learn about data ownership, privacy frameworks, and master data management (MDM).

08

Prepare for the CompTIA Data+ Exam with practice tests, exam experiences, and understand certification requirements.

Course Description

CompTIA Data+ Certification is the key to unlocking your potential in the rapidly expanding field of data management and analytics. Presenting our comprehensive course – “CompTIA Data+ Certification Prep”, meticulously crafted to equip you with the most sought-after skills in the industry. This course is a deep dive into the world of data, covering everything from basic data concepts, data environments, data mining, data analysis, data visualization, to data governance and quality controls. With the inclusion of hands-on demonstrations using real-world tools like Google Cloud SQL and AWS Redshift, this course offers a practical understanding of data management, making you ready for the job market and CompTIA Data+ (DAO-001) certification exam.

This extensive course provides you with an in-depth understanding of various data schemes and databases, equipping you with the skills to perform data mining, acquisition, and integration using cutting-edge tools. Master data profiling, cleansing and manipulation techniques, learn data analysis using descriptive and inferential statistical methods, and data visualization techniques to create insightful reports and dashboards. You will also gain knowledge on implementing data governance, security, and quality control practices. This course is ideal for anyone looking to launch or advance their career in data analytics, IT professionals aiming to boost their data management knowledge, business analysts, and students aspiring for a career in data science or data analytics. Also, it’s a must for anyone aiming to ace the CompTIA Data+ (DAO-001) exam.

The demand for data professionals is on the rise, and with the CompTIA Data+ certification, you’ll be ready to tap into numerous high-demand job roles that will significantly boost your earning potential. So, don’t wait! Enroll in our “CompTIA Data+ Certification Prep” course today, and take that crucial step towards a successful career in data management and analytics.

Who Benefits From This Course

  • Professionals seeking to validate their data management skills
  • Individuals aiming to gain a comprehensive understanding of data concepts and environments
  • Data analysts looking to improve their data mining and analysis techniques
  • Professionals interested in learning data visualization and governance principles
  • IT professionals looking to meet US Department of Defense (DOD) data directive requirements
  • Database administrators seeking to expand their skills with modern data technologies
  • Aspiring data scientists and data engineers
  • Individuals preparing to take the CompTIA Data+ certification exam

Frequently Asked Questions

What is the relevance of CompTIA Data+ certification in the field of data analytics?
The CompTIA Data+ certification is a globally recognized credential that validates an individual's ability to manage, analyze, and visualize data. It is particularly relevant in the field of data analytics as it covers both theoretical and practical aspects of data management, including data acquisition, data integration, data mining, query optimization, and data profiling. The certification also delves into advanced topics like ETL and ELT processes, enhancing one's understanding and skills in handling complex data tasks. Hence, achieving this certification can significantly improve your employability and career prospects in the field of data analytics.
What job roles can I apply for after obtaining the CompTIA Data+ certification?
The CompTIA Data+ certification opens up a wide range of job opportunities. Some of the roles you can apply for after obtaining this certification include Data Analyst, Business Analyst, Data Manager, Data Scientist, Data Engineer, and Database Administrator. These roles involve managing and analyzing data, creating data visualizations, implementing data governance, and ensuring data security. Having the CompTIA Data+ certification enhances your credibility and demonstrates your proficiency in these areas to potential employers.
What are the key skills validated by the CompTIA Data+ certification?
The CompTIA Data+ certification validates a broad range of skills required in the field of data management and analytics. These include understanding data environments, managing databases, performing data mining and integration, implementing ETL and ELT processes, conducting data profiling, and optimizing queries. The certification also validates skills in descriptive and inferential statistics, data visualization, and the implementation of data governance, security, and quality control practices.
How can the CompTIA Data+ certification boost my earning potential?
The CompTIA Data+ certification is an established credential recognized by employers globally, which can significantly boost your earning potential. Data professionals are in high demand, and the certification can help you stand out in the competitive job market. It validates your expertise in managing, analyzing, and visualizing data, making you eligible for high-paying roles in the field of data analytics. Furthermore, the certification demonstrates your commitment to continuous learning and professional development, which can lead to career advancement opportunities and salary increases.
What is the importance of data governance and how does the CompTIA Data+ certification cover this aspect?
Data governance is a crucial aspect of data management that ensures the availability, usability, integrity, and security of data. It involves the implementation of policies, procedures, and standards to manage and protect data effectively. The CompTIA Data+ certification covers this aspect extensively, preparing candidates to implement data governance practices in their roles. Through the certification, candidates learn to establish data governance frameworks, enforce data standards, ensure data quality, and comply with data regulations. As such, the certification equips you with the knowledge and skills to manage data responsibly and securely.

Included In This Course

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

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