Product Description
Develop essential data analysis skills with the CompTIA Data+ CertMaster Learn + Labs Bundle—a comprehensive learning solution designed to prepare you for the CompTIA Data+ certification exam and help you excel in data-driven decision-making across various industries.
This bundle combines CertMaster Learn, an intuitive, self-paced eLearning platform, with CertMaster Labs, where you can apply your knowledge through hands-on practice. Together, they deliver a seamless learning experience that bridges theoretical knowledge with practical, real-world application.
CompTIA CertMaster Learn + Labs offers a comprehensive eLearning experience designed to equip learners with the knowledge and practical skills needed to excel in CompTIA certification exams and their IT careers.
CertMaster Learn delivers engaging, self-paced lessons that build a solid foundation of IT concepts, preparing you with the expertise needed to tackle your exam confidently. Paired with CertMaster Labs, this integrated solution allows you to apply your skills in real-world scenarios using authentic equipment and software. With guided feedback, hints, and scoring based on your inputs, you’ll master tasks effectively and efficiently.
The seamless integration of CertMaster Labs within the CertMaster Learn Learning Plan provides a unified learning experience with a single login and streamlined workflow—ensuring you gain both theoretical knowledge and practical skills in one powerful package.
- Lesson 1: Identifying Basic Concepts of Data Schemas
- Lesson 2: Understanding Different Data Systems
- Lesson 3: Understanding Types and Characteristics of Data
- Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
- Lesson 5: Explaining Data Integration and Collection Methods
- Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data
- Lesson 7: Executing Different Data Manipulation Techniques
- Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization
- Lesson 9: Applying Descriptive Statistical Methods
- Lesson 10: Describing Key Analysis Techniques
- Lesson 11: Understanding the Use of Different Statistical Methods
- Lesson 12: Using the Appropriate Type of Visualization
- Lesson 13: Expressing Business Requirements in a Report Format
- Lesson 14: Designing Components for Reports and Dashboards
- Lesson 15: Distinguishing Different Report Types
- Lesson 16: Summarizing the Importance of Data Governance
- Lesson 17: Applying Quality Control to Data
- Lesson 18: Explaining Master Data Management Concepts
- Assisted Lab: Exploring the Lab Environment
- Assisted Lab: Navigating and Understanding Database Design
- Assisted Lab: Understanding Data Types and Conversion
- Assisted Lab: Working with Different File Formats
- APPLIED 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
- APPLIED LAB: Preparing Data for Use
- Assisted Lab: Recoding Data
- Assisted Lab: Working with Queries and Join Types
- APPLIED LAB: Building Queries and Transforming Data
- Assisted Lab: Using the Measures of Central Tendency
- Assisted Lab: Using the Measures of Variability
- APPLIED 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
- APPLIED LAB: Visualizing Data
- Assisted Lab: Understanding Security Requirements for Protecting Information
After purchase, you’ll receive an email containing your access key and activation instructions. Simply follow the provided steps to activate your product and start your learning journey.