CIW: Data Analyst (1D0-622)

Grundlagen der Datenanalyse

• Die Bedeutung hochwertiger Quelldaten
• Datenstrukturtypen
• Vorteile zentralisierter Daten
• Strukturierte vs. unstrukturierte Daten
• Arten von Daten
• Typische Quellen für Geschäftsdaten
• Datenschutzrichtlinien
• Suchmaschinenoptimierung
• Datenlebenszyklusmanagement (DLM)
• Datenanalyseprozess
• Zusammenfassung der Lektion

Introduction to Big Data

• Big Data
• The Importance of IT Data Management
• IT Business Environments
• Cloud-Based Data
• Cloud-Native Data
• In-House Data
• When to Migrate In-House Data to the Cloud
• Variations of Cloud-Based Systems
• Typical Databases Used for Data Analysis
• Data-Driven Business Decisions
• Impact of Data Errors
• Importance of Organizational Strategy and Data Quality in Data Analytics
• Data Modeling 
• Importance of Data Maintenance and Data Backup
• Lesson Summary

Working with Data Sources

• Data E-Harmony: Working with Different Departments to Bring Data Together
• The Purpose of Customer Relationship Management (CRM)
• CRM Integration: A Banking Scenario
• Obtaining Data from Email and User Forums
• Obtaining Data from Other Knowledge Bases
• Obtaining Data from CRM and Business-to-Business Frameworks
• Transaction, Payment and Inventory Data
• Using Multiple Data Sources
• Lesson Summary

Tools for Capturing and Analyzing Data

• Data Analytics Tools
• Capturing Data: Tableau Public
• Capturing Data: Google BigQuery
• Capturing Data: OpenRefine
• Overview: Hadoop-Based Environments
• Capturing and Analyzing Data in Hadoop
• The R Project
• Additional Software for Data Capture
• Lesson Summary

Analyzing and Reporting Data

• Network Traffic
• Data Integration
• Why Testing is Important?
• Statistical Computing and Programming
• Organizational Efforts and Business Outcomes
• Best Methods to Capture and Report Specific Data
• Data Analysis and Reporting Dashboards
• Create Reports and Charts
• Create a Presentation for Reporting Data
• Frequently Asked Questions for Presentations
• Lesson Summary

Appendix A: Data Analyst Objectives and Locations

Appendix B: Works Consulted