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.
Duration:
5 days
Level:
Advanced
Who Should Attend?
Data analysts, reporting analysts, business data analysts, business intelligence analysts, clinical analysts, marketing analysts, and operations analysts.
Credits:
3 CEUsLearning Outcomes:
- 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.
Available only for Private Group Training
- Module 1 Identifying Basic Concepts of Data Schemas
- Module 2 Understanding Different Data Systems
- Module 3 Understanding Types and Characteristics of Data
- Module 4 Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
- Module 5 Explaining Data Integration and Collection Methods
- Module 6 Identifying Common Reasons for Cleansing and Profiling Data
- Module 7 Executing Different Data Manipulation Techniques
- Module 8 Explaining Common Techniques for Data Manipulation and Optimization
- Module 9 Applying Descriptive Statistical Methods
- Module 10 Describing Key Analysis Techniques
- Module 11 Understanding the Use of Different Statistical Methods
- Module 12 Using the Appropriate Type of Visualization
- Module 13 Expressing Business Requirements in a Report Format
- Module 14 Designing Components for Reports and Dashboards
- Module 15 Distinguishing Different Report Types
- Module 16 Summarizing the Importance of Data Governance
- Module 17 Applying Quality Control to Data
- Module 18 Explaining Master Data Management Concepts
