CIW: Data Analyst

(1D0-622) / ISBN: 9781616916435
This course includes
Lessons
TestPrep
Lab
LiveLab (Add-on)
Mentoring (Add-on)
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CIW: Data Analyst

Prepare for the CIW 1D0-622 certification exam with the CIW Data Analyst course and lab. The lab can be mapped to any course, textbook, or training, therefore, adding value and a hands-on component to training. This CIW Data Analyst training program will cover CIW 1D0-622 exam objectives like the fundamentals of data analysis, big data, working with data sources, tools for capturing and analyzing data; and analyzing and reporting data.
Here's what you will get

The CIW Data Analyst certification is the fourth credential in the CIW Web and Mobile Design series certification designed for IT and marketing professionals, website designers, and graphic artists. The 1D0-622 exam validates candidates expertise in fundamentals of data analysis, big data, data sources, capturing, analyzing, and reporting data; specific tactics for working with cloud-based data, and more.

Lessons
  • 7+ Lessons
  • 99+ Quizzes
  • 78+ Flashcards
  • 78+ Glossary of terms
TestPrep
  • 32+ Pre Assessment Questions
  • 3+ Full Length Tests
  • 128+ Post Assessment Questions
  • 144+ Practice Test Questions
Lab
LiveLab (Add-on)
  • 18+ LiveLab
Video Lessons
  • 5+ Videos
  • 19+ Minutes
Here's what you will learn
Download Course Outline
  • The Importance of Good Data
  • Centralized Data Benefits
  • Structured vs. Unstructured Data
  • Typical Sources of Business Data
  • Search Engine Optimization
  • Lesson Summary
  • 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
  • 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
  • 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
  • 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

Hands on Activities (Performance Labs)

Hands on Activities (Live Labs)

  • 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 the Blanket Technology Data
  • Calculating the Churn Rate
  • Calculating Consumer Lifetime Value in Banking
  • Understanding Customer Relationship Management (CRM)
  • Understanding the RFM Analysis for Customer Segmentation
  • Importing Dataset to Google Fusion Tables
  • Using RStudio
  • Working with OpenRefine
  • Creating a Gantt Chart
  • Creating a PowerPoint Presentation
  • Comparing Prezi and PowerPoint Presentations
Exam FAQs
What are the prerequisites for this exam?

Here are the pre-requisites:

  • An understanding of spreadsheets, databases, business processes, web sites, and coding
  • CIW User Interface Designer or equivalent knowledge
  • CIW Internet Business Associate or equivalent knowledge
  • CIW Site Development Associate or equivalent knowledge
  • CIW Advanced HTML5 & CSS3 Specialist or equivalent knowledge
What is the exam registration fee? USD 150
Where do I take the exam? Pearson VUE or PSI
What is the format of the exam? The exam consists of linear, multiple choice, fill in the blank, fact-based, and situational questions.
How many questions are asked in the exam? The exam contains 48 questions.
What is the duration of the exam? 75 minutes
What is the passing score? 75%
What is the exam's retake policy?

Here are the retake policies:

  • A 24-hour waiting period is required between the first and second attempt exam.
  • If a candidate passes a CIW exam, he will not be allowed to retake that CIW exam.
  • 30 calendar days waiting period from the date of the previous sitting before any third or subsequent sitting exam.
  • There is no limit on the number of attempts a candidate may make on an exam, so long as the 30 day wait period is observed.
What is the validity of the certification? CIW certifications do not expire.
Where can I find more information about this exam? To know more about the 1D0-622, click here.
What are the career opportunities after passing this exam?
  • Web Designer
  • Internet Consultant
  • Business Professional
  • Marketing Pofessional
  • Web and Graphic Artist
Customer Testimonials
Shurel Reynolds
I embarked on the CIW Data Analyst course with ucertify and I was pleasantly surprised at my learning pace. What worked well for me was the combination of the flash cards and complimentary quizzes. The material is context-based which makes it easier to picture scenarios for handling data. I now feel very confident to take the official exam.
Dipo Tepede
The uCertify CIW Data Analyst course covers all the objectives of the 1D0-622 exam and explains the importance of IT data management. uCertify course includes videos to help understand concepts. It also includes How Tos that help learners with how to accomplish certain tasks. Highly recommended!
DAVID OLUBUKOLA AKANJI
CIW Data Analyst 1D0-622 course from uCertify provide more analytics resources to help build new insight and actionable intelligence. This was an excellent course presented in a very helpful and logical manner.

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