Course Overview
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.
Mine data more effectively. Analyze with rigor. Avoid confounding results.
Make yourself a valuable team member. Data literacy means you’re more employable and upwardly mobile.
Exam Details:
Maximum of 90 questions
Multiple choice and performance-based
90 Minutes
Passing Score: 675 (on scale of 100–900)
What you’ll learn
During this course, students will be able to learn:
Data Concepts and Environments
Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats
Data Mining
Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation
Data Analysis
Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques
Visualization
Learn how to translate business requirements to create the appropriate visualization in the form of a report or dashboard with the proper design components
Data Governance, Quality, & Controls
Increase your ability to summarize important data governance concepts and apply data quality control concepts
Requirements
- Recommended experience: 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.
Target audiences
- Data Architect, Data Analyst, Data Scientist, Business Analyst, Reporting Analyst, Operations Analyst
Curriculum
- 2 Sections
- 25 Lessons
- 51 Weeks
- Topics18
- 1.1Lesson 1: Identifying Basic Concepts of Data Schemas
- 1.2Lesson 2: Understanding Different Data Systems
- 1.3Lesson 3: Understanding Types and Characteristics of Data
- 1.4Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
- 1.5Lesson 5: Explaining Data Integration and Collection Methods
- 1.6Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data
- 1.7Lesson 7: Executing Different Data Manipulation Techniques
- 1.8Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization
- 1.9Lesson 9: Applying Descriptive Statistical Methods
- 1.10Lesson 10: Describing Key Analysis Techniques
- 1.11Lesson 11: Understanding the Use of Different Statistical Methods
- 1.12Lesson 12: Using the Appropriate Type of Visualization
- 1.13Lesson 13: Expressing Business Requirements in a Report Format
- 1.14Lesson 14: Designing Components for Reports and Dashboards
- 1.15Lesson 15: Distinguishing Different Report Types
- 1.16Lesson 16: Summarizing the Importance of Data Governance
- 1.17Lesson 17: Applying Quality Control to Data
- 1.18Lesson 18: Explaining Master Data Management Concepts
- Labs Available7
- 2.1Assisted Lab: Navigating and Understanding Database Design Assisted Lab: Understanding Data Types and Conversion Assisted Lab: Working with Different File Formats
- 2.2APPLIED LAB: Understanding Data Structure and Types and Using Basic Statements Assisted Lab: Using Public Data Assisted Lab: Profiling Data Sets Assisted Lab: Addressing Redundant and Duplicated Data Assisted Lab: Addressing Missing Values
- 2.3APPLIED LAB: Preparing Data for Use Assisted Lab: Recording Data Assisted Lab: Working with Queries and Join Types
- 2.4APPLIED LAB: Building Queries and Transforming Data Assisted Lab: Using the Measures of Central Tendency Assisted Lab: Using the Measures of Variability
- 2.5APPLIED LAB: Analyzing Data Assisted Lab: Building Basic Visuals to Make Visual Impact Assisted Lab: Building Maps with Geographical Data Assisted Lab: Using Visuals to Tell a Story Assisted Lab: Filtering Data Assisted Lab: Designing Elements for Dashboards Assisted Lab: Building an Ad Hoc Report
- 2.6APPLIED LAB: Visualizing Data Assisted Lab: Understanding Security Requirements for Protecting Information
- 2.7License Information One license provides access to CertMaster Learn for Data+ (DA0-001) with CertMaster Labs integrated throughout the course Once activated, the license is valid for 12 months
