As the importance of data analytics grows, more job roles are required to set a context and better communicate vital business intelligence. Collecting, analyzing, and reporting data can drive priorities and lead business decision-making. CompTIA Data+ certification validates professionals have the skills required to facilitate data-driven business decisions, including:
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
CompTIA Data+ Training Delivery Methods
In-Person
Online
CompTIA Data+ Training Information
In this CompTIA Data+ course, you will learn how to:
Instruction from CompTIA approved Data+ Certification preparation course.
Receive a CompTIA Data+ Exam Voucher included upon completion of the course.
Identify Data Concepts and Environments important in analytics.
Execute techniques in Data Mining, Data Mining, and Visualization.
Summarize the importance of Data Governance, Quality, and Controls.
Continue learning and face new challenges with after-course one-on-one instructor coaching.
CompTIA Data+ Training Prerequisites
CompTIA recommends 18–24 months of experience in a report/business analyst job to succeed in this course.
Exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experiences, such as Excel, Power BI, and Tableau.
CompTIA Data+ Certification Information
CompTIA DA0-001
Testing through Pearson VUE
CompTIA Data+ Instructor-Led Course Outline
In this module, you will learn how to:
Identify Relational and Non-Relational Databases
Understand the Way We Use Tables, Primary Keys, and Normalization
In this module, you will learn how to:
Describe Types of Data Processing and Storage Systems
Explain How Data Changes
In this module, you will learn how to:
Understand Types of Data
Break Down the Field Data Types
In this module, you will learn how to:
Differentiate between Structured Data and Unstructured Data
Recognize Different File Formats
Understand the Different Code Languages Used for Data
In this module, you will learn how to:
Understand the Processes of Extracting, Transforming, and Loading Data
Explain API/Web Scraping and Other Collection Methods
Collect and Use Public and Publicly-Available Data
Use and Collect Survey Data
In this module, you will learn how to:
Learn to Profile Data
Address Redundant, Duplicated, and Unnecessary Data
Work with Missing Values
Address Invalid Data
Convert Data to Meet Specifications
In this module, you will learn how to:
Manipulate Field Data and Create Variables
Transpose and Append Data
Query Data
In this module, you will learn how to:
Use Functions to Manipulate Data
Use Common Techniques for Query Optimization
In this module, you will learn how to:
Use Measures of Central Tendency
Use Measures of Dispersion
Use Frequency and Percentages
In this module, you will learn how to:
Get Started with Analysis
Recognize Types of Analysis
In this module, you will learn how to:
Understand the Importance of Statistical Tests
Break Down the Hypothesis Test
Understand Tests and Methods to Determine Relationships Between Variables
In this module, you will learn how to:
Use Basic Visuals
Build Advanced Visuals
Build Maps with Geographical Data
Use Visuals to Tell a Story
In this module, you will learn how to:
Consider Audience Needs When Developing a Report
Describe Data Source Considerations for Reporting
Describe Considerations for Delivering Reports and Dashboards
Develop Reports or Dashboards
Understand Ways to Sort and Filter Data
In this module, you will learn how to:
Design Elements for Reports and Dashboards
Utilize Standard Elements
Creating a Narrative and Other Written Elements
Understand Deployment Considerations
In this module, you will learn how to:
Understand How Updates and Timing Affect Reporting
Differentiate Between Types of Reports
In this module, you will learn how to:
Define Data Governance
Understand Access Requirements and Policies
Understand Security Requirements
Understand Entity Relationship Requirements
In this module, you will learn how to:
Describe Characteristics, Rules, and Metrics of Data Quality
Identify Reasons to Quality Check Data and Methods of Data Validation
In this module, you will learn how to:
Explain the Basics of Master Data Management
Describe Master Data Management Processes
Get This Course $3,190
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You can participate in several activities and training programs to renew your CompTIA Data+ certification. Collect at least 20 Continuing Education Units (CEUs) in three years and upload them to your certification account, and your CompTIA Data+ certification will automatically renew.
CompTIA recommends 18-24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.
