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1D0-622-v1.2.AC1
CIW: Data Analyst (1D0-622)
- Practice in 17 Hands-On Labs — nothing to install
- 7 Interactive Lessons and 55 topics mapped to the official exam objectives
- 339 Practice Test Questions and 3 Full Length Tests
Beginner Self-paced · 1 year access
17 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
7Interactive Lessons
55Topics
17LiveLab
339Practice Test Questions
5Videos
118Flashcards
118Glossary of terms
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
7 Interactive Lessons · 55 topics01 Fundamentals of Data Analysis 11 topics · 4 LiveLab +
- 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
4 LiveLab in this lesson — see the labs panel →
02 Introduction to Big Data 15 topics · 4 LiveLab +
- 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
4 LiveLab in this lesson — see the labs panel →
03 Working with Data Sources 9 topics · 4 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
04 Tools for Capturing and Analyzing Data 9 topics · 2 LiveLab +
- 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
2 LiveLab in this lesson — see the labs panel →
05 Analyzing and Reporting Data 11 topics · 3 LiveLab +
- 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
3 LiveLab in this lesson — see the labs panel →
06 Appendix A: Data Analyst Objectives and Locations +
07 Appendix B: Works Consulted +
Hands-On Labs Our edge
17 LiveLabs- 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
- Analyzing and Utilizing Big Data
- Adapting to Changing Data Requirements
- Comparing Relational Database Management Systems
- Analyzing DDDM and Data for Blanket Technology
- Calculating the Churn Rate
- Analyzing Customer Relationship Management
- Calculating Consumer Lifetime Value in Banking
- Understanding the RFM Analysis for Customer Segmentation
- Creating a Stacked Bar Chart
- Using RStudio
- Creating a Gantt Chart
- Comparing Prezi and PowerPoint Presentations
- Creating a PowerPoint Presentation
Labs run in your browser — nothing to install.
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Prepare for CIW: Data Analyst (1D0-622)
One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.
- 1 year of full access
- 17 LiveLab included
- Certificate of completion
No credit card required