Data Analyst

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Quick Reference

Certification Name:
Data Analyst
Exam ID: 1D0-622
Number of Questions: 48
Passing Score: 75%
Time Limit: 75 minutes
Course Name:
Data Analyst

Course Description

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Prerequisites

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

More Info

Taking an exam
Salary Statistics

Data Analyst is the seventh and final course in the CIW Web and Mobile Design series. In this course you will learn how to use data to analyze all aspects of a company's operation and make appropriate business decisions. You will study how to compare and contrast structured and unstructured data. You will learn how to deploy tools for capturing and analyzing data, including Hadoop, R Project, and custom database solutions.

In addition, you will study how to extrapolate information using data obtained from new and traditional data sources, including Web and social media logs, marketing, sales, technical support, and customer relations. You will also learn how to determine relationships between organizational efforts and business outcomes. Finally, you will study the ways to capture and represent data, including creating dashboards, executive summaries, reports and charts, using both traditional and Web-based tools.

Certification

The CIW Data Analyst Specialist course prepares candidates to take the CIW Data Analyst Specialist exam, which, if passed, earns the individual the CIW Data Analyst Specialist certification.

Target Audience

Web designers
Internet consultants
IT professionals
Marketing professionals
Web and graphic artists
Business professionals

Skills Taught (Refer to course description for more details)

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, migrating data to or from the cloud.
Summarize ways that data is used to drive business decisions.
Deploy tools for capturing and analyzing data, including Hadoop, R Project, custom database applications.
Extrapolate information using data obtained from new and traditional data sources, including Web and social media logs, marketing, sales, technical support, customer relations.
Determine relationships between organizational efforts and business outcomes.
Identify ways to capture and represent data, including creating dashboards (e.g., executive summaries), creating reports and charts, using traditional and Web-based tools.