Data Plus - Data+
Class Overview
CompTIA’s Data Plus
, or Data+, training is aimed at early-career data analytics professionals tasked with developing and promoting data-driven business decision-making.
As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making.
This training will provide the knowledge and skills to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.
Class Details
Objectives
After taking this training, the student should be able to:
- Perform data mining.
- Manipulate data.
- Visualize and report data.
- Apply basic statistical methods.
- Analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle.
Prerequisite Knowledge Advisory
Although there are no formal prerequisites, before taking this class you should have:
- 18–24 months of experience in a report/business analyst job role.
- Exposure to databases and analytical tools.
- A basic understanding of statistics.
- Data visualization experience.
Required Exam for Data+ Certification
Exam: DA0-001
Proctor: PearsonVUE
Recertification: 3 years
Data+ Training Class Outline
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
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Important Notice: NC-Expert does not accept enrollment applications from independent individuals. We require that employers pay for their employees. We continue to service corporate clients, using B2B transactions, with no change in service. We apologize for any inconvenience.
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