This course teaches foundational data analytics skills aligned with the CompTIA Data+ certification exam (DA0-001). You’ll learn how to mine data from multiple sources, clean and manipulate it for analysis, and apply basic statistical methods to interpret data effectively. The course also emphasizes data governance and quality standards throughout the entire data life cycle. By the end of the training, you'll be able to build compelling visualizations, use analytical tools to support business decisions, and confidently pursue this early-career data analytics certification.
Course Objectives
The CompTIA Data+ certification course is ideal for early-career professionals who work with data or support data-driven decision-making in their organization. This includes aspiring data analysts, business professionals, marketing specialists, operations coordinators, or anyone responsible for interpreting data, creating reports, or contributing to data projects. If you're looking to break into the data analytics field or validate your foundational data analysis skills, this course provides a strong starting point.
1 – Identifying Basic Concepts of Data Schemas
Relational vs. non-relational databases
Tables, primary keys, normalization
2 – Understanding Different Data Systems
Types of data processing and storage
How data changes over time
3 – Understanding Types and Characteristics of Data
Structured vs. unstructured data
File types and field data
4 – Comparing Data Structures, Formats, and Languages
CSV, JSON, XML
Common code languages used for data
5 – Data Integration and Collection
ETL processes
API/web scraping
Public and survey data collection
6 – Data Cleansing and Profiling
Handling missing or invalid data
Converting and validating data
7 – Data Manipulation Techniques
Querying, appending, and transforming data
Creating calculated fields and variables
8 – Data Optimization
Query optimization
Efficient function use
9 – Descriptive Statistics
Central tendency and dispersion
Frequency and percentages
10 – Key Analytical Techniques
Introduction to common analysis types
11 – Statistical Methods
Hypothesis testing
Relationships between variables
12 – Data Visualization
Basic and advanced visuals
Geographical data maps
Telling stories with visuals
13 – Business Reporting Requirements
Identifying audience needs
Data source considerations
Sorting and filtering
14 – Designing Reports and Dashboards
Narrative and design elements
Deployment considerations
15 – Deployment Considerations
Timing, updating, and types of reports
16 – Data Governance
Access policies
Security and entity relationship rules
17 – Data Quality Control
Data validation and quality metrics
18 – Master Data Management
MDM basics and processes
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
Course Comments
Price includes Exam Voucher
Upcoming Classes
October 06, 2025
November 17, 2025
December 15, 2025