CIW: Data Analyst (1D0-622)

(1D0-622-v1.2.AC1)
Lessons
Lab
TestPrep
Get A Free Trial

Skills You’ll Get

1

Fundamentals of Data Analysis

  • The Importance of Quality Source Data
  • Data Structure Types
  • Centralized Data Benefits
  • Structured vs. Unstructured Data
  • Types of Data
  • Typical Sources of Business Data
  • Data Protection Policies
  • Search Engine Optimization
  • Data Life Cycle Management (DLM)
  • Data Analysis Process
  • Lesson Summary
2

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
3

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
4

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
5

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
A

Appendix A: Data Analyst Objectives and Locations

B

Appendix B: Works Consulted

1

Fundamentals of Data Analysis

  • Learning the Data Analysis Lingo
  • Learning Structured and Unstructured Data in the Real World
  • Analyzing the Metadata and Understanding Search Engine Optimization
  • Using the AdSense and AdWords Services
2

Introduction to Big Data

  • Analyzing and Utilizing Big Data
  • Adapting to Changing Data Requirements
  • Comparing Relational Database Management Systems
  • Analyzing DDDM and Data for Blanket Technology
3

Working with Data Sources

  • Calculating the Churn Rate
  • Analyzing Customer Relationship Management
  • Calculating Consumer Lifetime Value in Banking
  • Understanding the RFM Analysis for Customer Segmentation
4

Tools for Capturing and Analyzing Data

  • Creating a Stacked Bar Chart
  • Using RStudio
5

Analyzing and Reporting Data

  • Creating a Gantt Chart
  • Comparing Prezi and PowerPoint Presentations
  • Creating a PowerPoint Presentation

Why Do Learners Love This Course?

Any questions?
Check out the FAQs

Still have unanswered questions and need to get in touch?

Contact Us Now

Related Courses

All Courses
scroll to top