Description:
In this course, you will cover the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle. In addition, it will help prepare candidates to take the CompTIA Data+ certification exam.
Who Should Attend?
- Data Analyst
- Reporting Analyst
- Business Data Analyst
- Business Intelligence Analyst
- Clinical Analyst
- Marketing Analyst
- Operations Analyst
Level:
Intermediate
Tuition:
$2,499.00
Credits:
3.5 CEU's
Class Type:
This course is currently being offered in the following training modalities:
- Online
- Virtual Instructor-Led
- Class Length: This class is listed as a 5-day course.
- Virtual Instructor-Led
Learning Outcomes:
Upon successful completion of this course, students will be able to:
- Mine data
- 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
Course 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
Appendix A: Identifying Common Data Analytics Tools
Appendix B: Mapping Course Content to CompTIA Data+ (DA0-001)
