As the importance of data analytics grows, more job roles are required to set a context and better communicate vital business intelligence. Collecting, analysing, 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
- Visualising and reporting data
- Applying basic statistical methods
- Analysing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
CompTIA Data+ Training Delivery Methods
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 Visualisation.
- Summarise 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 visualisation 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 Normalisation
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
- Recognise 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 Optimisation
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
- Recognise 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
- Utilise 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
