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1D0-622 : CIW: Data Analyst

CIW: Data Analyst
ISBN : 978-1-61691-643-5
Gain hands-on expertise in CIW Data Analyst: 1D0-622 certification exam by CIW Data Analyst course. The course covers all the objectives of the 1D0-622 exam and provides skills to identify typical sources of institutional knowledge, including Customer Relationship Management (CRM) applications, inventory management systems, transaction data, social media, marketing sources, industry systems; compare and contrast structured and unstructured data in order to summarize how data can drive business decisions; specific tactics for working with cloud-based data and much more.


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Flashcards Quizzes Glossary

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Glossary of terms
Videos and How To..

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Test Prep & Practice Questions

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Pre-assessments Questions
Full Length Tests
Post-Assessments Questions


Full Remediation

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Unlimited Practice

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Learn, Test and Review Mode

Each test set comes with learn, test and review modes. In learn mode, learners will attempt a question and will get immediate feedback and complete remediation as they move on to the next question. In test mode, learners can take a timed test simulating the actual exam conditions. In review mode, learners can read through one item at a time without attempting it.

Exam Information

CIW Data Analyst exam is a vendor neutral, entry-level credential designed for IT, marketing professionals, web site designers, and graphic artists. The exam validates the expertise to identify typical sources of institutional knowledge, including Customer Relationship Management (CRM) applications, transaction data, social media, marketing sources; compare and contrast structured and unstructured data, deploy specific tactics for working with cloud-based data, including cloud-native data, migrate data to or from the cloud, summarize ways that data is used to drive business decisions and so on.

Prepare for the following certifications

Exam FAQs
What are the prerequisites for this exam?
  • An understanding of spreadsheets, databases, business processes, web sites and coding.
  • CIW Internet Business Associate or equivalent knowledge.
  • CIW Site Development Associate or equivalent knowledge.
  • CIW Advanced HTML5 & CSS3 Specialist or equivalent knowledge.
  • CIW User Interface Designer or equivalent knowledge.
What is the exam registration fee?
USD 150
Where do I take the exam?
What is the duration of the exam?
75 minutes
What is the passing score?
Where can I find more information about this exam?
To know more about the 1D0-622, click here.

Table of Content

Here's What you will Learn

Lesson 1: Fundamentals of Data Analysis

  • The Importance of Good Data
  • Centralized Data Benefits
  • Structured vs. Unstructured Data
  • Typical Sources of Business Data
  • Search Engine Optimization
  • Lesson Summary

Lesson 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
  • Lesson Summary

Lesson 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 E-Mail 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

Lesson 4: Tools for Capturing and Analyzing Data

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

Lesson 5: Analyzing and Reporting Data

  • Network Traffic
  • 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

Lesson 6: Appendix A: Data Analyst Objectives and Locations

Lesson 7: Appendix B: Works Consulted

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