CompTIA Data+
CompTIA Data+
CompTIA Data+
Price:
Duration:
USD 1,600 excl. VAT
5 Days
Prerequisites
To ensure your success in this course, you should have 18–24 months of hands-on experience working
in a business intelligence, report/data analyst job role
What you’ll learn in this course
CompTIA Data+ course and lab are designed to come in handy as a CompTIA Data+ study guide. this is a complete learning path for you by including all the subject areas on which the DA0-001 exam is based and it contains performance
labs to give you a complete understanding of data analysis and business intelligence reporting roles. The course enhances the latest knowledge and skills of data professionals.
Course Objectives
On course completion, you will be able to do the following:
• Identify basic concepts of data schemas
• Understand different data systems
• Understand types and characteristics of data
• Compare and contrast different data structures, formats, and markup languages
• Explain data integration and collection methods
• Identify common reasons for cleansing and profiling data
• Execute different data manipulation techniques
• Explain common techniques for data manipulation and optimization
• Apply descriptive statistical methods
• Describe key analysis techniques
• Understand the use of different statistical methods
• Use the appropriate type of visualization
• Express business requirements in a report format
• Design components for reports and dashboards
Course Outline
• Identifying Basic Concepts of Data Schemas
• Understanding Different Data Systems
• Understanding Types and Characteristics of Data
• Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
• Explaining Data Integration and Collection Methods
• Identifying Common Reasons for Cleansing and Profiling Data
• Executing Different Data Manipulation Techniques
• Explaining Common Techniques for Data Manipulation and Optimization.
• Applying Descriptive Statistical Methods
• Describing Key Analysis Techniques
• Understanding the Use of Different Statistical Methods
• Using the Appropriate Type of Visualization
• Expressing Business Requirements in a Report Format
• Designing Components for Reports and Dashboards
• Distinguishing Different Report Types
• Summarizing the Importance of Data Governance..
• Applying Quality Control to Data
• Explaining Master Data Management Concepts
Further information
If you would like to know more about this course please contact us
