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CompTIA Data+

The CompTIA Data+ certification equips professionals with foundational data analytics skills to collect, analyze, and visualize data, enabling data-driven decision-making in business environments. Updated for the DA0-002 exam.
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  • 2145 learners enrolled
2145 learners enrolled

Skill level

Beginner, Intermediate

Hours to complete

47

Projects

2

Prerequisites

None
  • Overview
  • Courses
  • Instructor

Your Guided Learning Pathway

In this 12 hour course your instructor will take you from intermediate to advanced level practitioner.
Step 1
Step 2
Step 3

Advanced Data Analytics Principles

During your study for the CompTIA Data+ certification, you’ll learn how to collect, clean, and analyze data using statistical methods and visualization tools to derive actionable insights.

You’ll also gain skills in data governance, quality management, and translating data findings into business strategies.

 

Manage Data

After passing the CompTIA Data+ certification, you can help a company by analyzing data to uncover actionable insights that drive informed business decisions.

You’ll also create effective reports and visualizations to communicate findings, improving operational efficiency and strategic outcomes.

 

Get Exam Ready

This course not only prepares you to become a data analyst but also prepares you for the exam.

Read real-world case studies about data collection and reporting, and prepare yourself for a rewarding career as a data analyst working as a freelancer or for a company.

What it covers

This course prepares you for a data analyst role in any organization.
  • Data Concepts and Environments
  • Data Mining
  • Data Analysis
  • Data Visualization and Reporting
  • Data Quality and Management
  • Business Implications

Benefits of the certification

Getting certified in your chosen career path is essential, but passing the Data+ exam gets you:
  • Validates Data Analytics Skills
  • Enhances Career Opportunities
  • Increases Earning Potential
  • Improves Data-Driven Decision Making
  • Builds Credibility with Employers
  • Provides Foundation for Advanced Certifications

 

 

Target audience

This certification is ideal for:
  • Entry-level data analysts
  • Business analysts
  • Reporting analysts
  • Marketing analysts
  • Operations analysts
  • Professionals transitioning into data-focused roles
  • Individuals seeking foundational data analytics skills

 

Prerequisites

While there are no mandatory prerequisites, CompTIA recommends having:
  • 18–24 months of experience in a data-related role (e.g., report/business analyst).
  • Familiarity with basic database concepts and statistical analysis.
  • Exposure to data visualization tools and techniques.

 

Instructor-image

Your Instructor

Bolaji Bamiro

Bolaji is a data scientist professional. She is an expert in social media analysis using NLP packages. She has worked on numerous streaming data and web applications. Her roles have included Research Analyst, Machine learning consultant, and Research Data Scientist at the University of Casablanca.

Bolaji holds a Master of Science (MSc) degree in Big Data Management and Financial Mathematics, as well as a Bachelor of Science (BSc) degree in Physics.

Curriculum

Module 1 Welcome
Unit 1 Welcome
Module 2 Database Fundamentals - Course Introduction
Unit 1 Welcome
Module 3 Database Fundamentals - Understanding Core Database Concepts
Unit 1 Understand How Data is stored in Tables
Unit 2 Understand Relational Database Concepts
Unit 3 Understand Data Manipulation Language (DML)
Unit 4 Understand Data Definition Language (DDL)
Module 4 Database Fundamentals - Creating Database Objects
Unit 1 Choose Data Types - Part 1
Unit 2 Choose Data Types - Part 2
Unit 3 Understand Tables and How to Create Them
Unit 4 Create Views
Unit 5 Create Stored Procedures and Functions
Module 5 Database Fundamentals - Manipulating Data
Unit 1 Select Data - Part 1
Unit 2 Select Data - Part 2
Unit 3 Insert and Update Data
Unit 4 Delete Data
Module 6 Database Fundamentals - Understanding Data Storage
Unit 1 Understand Normalization
Unit 2 Understand Primary, Foreign and Composite Keys
Unit 3 Understand Indexes
Module 7 Database Fundamentals - Administering a Database
Unit 1 Understand Database Security Concepts
Unit 2 Understand Database Backups and Restore
Module 8 Bonus Database Exams
Unit 1 Bonus Exam 1
Unit 2 Bonus Exam 2
Module 9 Data+ - Data Concepts and Environments
Unit 1 Data Schemas and Dimensions
Unit 2 Data Types, Structures and File Formats
Module 10 Data+ - Data Acquisition and Preparation
Unit 1 Data Acquisition Concepts
Unit 2 Data Manipulation Techniques
Unit 3 Data Manipulation and Query Optimization
Module 11 Data+ - Data Analysis
Unit 1 Statistical Methods
Unit 2 Types of Analysis
Unit 3 Common Data Analytics Tools
Module 12 Data+ - Visualization and Reporting
Unit 1 Design Components for Reports
Unit 2 Dashboard Development
Unit 3 Appropriate Type of Visualization
Unit 4 Compare and Contrast Types of Reports.
Module 13 Data+ - Data Governance, Quality, and Controls
Unit 1 Important Data Governance Concepts.
Unit 2 Data Quality Control Concepts
Unit 3 Master Data Management (MDM) Concepts.
Module 14 Data+ - 002 Exam Updates
Unit 1 AI and Generative AI in Analytics
Unit 2 Cloud Data Environments
Unit 3 Governance of AI and Data
Module 15 Excel - Create and Manage Worksheets and Workbooks
Unit 1 Introduction
Unit 2 Create Worksheets and Workbooks
Unit 3 Create Worksheets and Workbooks 2
Unit 4 Navigate through Worksheets and Workbooks
Unit 5 Navigate through Worksheets and Workbooks 2
Unit 6 Format Worksheets and Workbooks
Unit 7 Format Worksheets and Workbooks 2
Unit 8 Format Worksheets and Workbooks 3
Unit 9 Format Worksheets and Workbooks 4
Unit 10 Format Worksheets and Workbooks 5
Unit 11 Format Worksheets and Workbooks 6
Unit 12 Format Worksheets and Workbooks 7
Unit 13 Customize Options and Views for Worksheets and Workbooks
Unit 14 Customize Options and Views for Worksheets and Workbooks 2
Unit 15 Customize Options and Views for Worksheets and Workbooks 3
Unit 16 Customize Options and Views for Worksheets and Workbooks 4
Unit 17 Customize Options and Views for Worksheets and Workbooks 5
Unit 18 Configure Worksheets and Workbooks to Print or Save
Unit 19 Configure Worksheets and Workbooks to Print or Save 2
Module 16 Excel - Create Cells and Ranges
Unit 1 Insert Data in Cells and Ranges
Unit 2 Insert Data in Cells and Ranges 2
Unit 3 Insert Data in Cells and Ranges 3
Unit 4 Format Cells and Ranges
Unit 5 Format Cells and Ranges 2
Unit 6 Format Cells and Ranges 3
Unit 7 Format Cells and Ranges 4
Unit 8 Order and Group Cells and Ranges
Unit 9 Order and Group Cells and Ranges 2
Unit 10 Order and Group Cells and Ranges 3
Unit 11 Order and Group Cells and Ranges 4
Module 17 Excel - Create Tables
Unit 1 Create a Table
Unit 2 Modify a Table
Unit 3 Filter and Sort a Table
Module 18 Excel - Apply Formulas and Functions
Unit 1 Utilize Cell Ranges and References in Formulas and Functions
Unit 2 Summarize Data with Functions
Unit 3 Utilize Conditional Logic in Functions
Unit 4 Format and Modify Text with Functions
Module 19 Excel - Create Charts and Objects
Unit 1 Create a Chart
Unit 2 Format a Chart
Unit 3 Insert and Format an Object
Unit 4 Insert and Format an Object 2
Module 20 Excel - Case Study 3
Unit 1 Introduction
Unit 2 Part 1
Unit 3 Part 2
Unit 4 Part 3
Unit 5 Part 4
Unit 6 Part 5
Module 21 Excel - Case Study 4
Unit 1 Introduction
Unit 2 Part 1
Unit 3 Part 2
Unit 4 Part 3
Unit 5 Part 4
Unit 6 Part 5
Module 22 Excel - Case Study 5
Unit 1 Introduction
Unit 2 Part 1
Unit 3 Part 2
Unit 4 Part 3
Unit 5 Part 4
Unit 6 Part 5
Unit 7 Part 6

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