1D0-622-v1.2
CIW: Data Analyst (1D0-622)
Numbers don’t lie, but they sure need a good interpreter. That’s why you’re here.
- Practice in 17 Hands-On Labs — nothing to install
- 7 Interactive Lessons and 55 topics mapped to the official exam objectives
- 332 Practice Test Questions and 3 Full Length Tests
Beginner Self-paced · 1 year access 4.5/5 (80 Reviews)
17 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
7Interactive Lessons
55Topics
17LiveLab
332Practice Test Questions
8Videos
118Flashcards
118Glossary of terms
01 / Skills you'll get
What you will be able to do
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No credit card required
This CIW: Data Analyst course aligns with the 1D0-622 exam objectives, equipping you with the knowledge and skills to earn the certification.
You’ll begin with fundamentals, covering data types, structures, quality data, and protection policies. Next, you’ll encounter big data and IT data management, learning when to migrate data to the cloud, database options, and how to leverage data for business decisions.
Explore essential analytics tools like Tableau, Google BigQuery, and Hadoop, capturing and transforming data. Finally, learn to report your findings visually!
- Understand data types, structures, and sources
- Evaluate data quality and protection policies
- Identify when to migrate data to the cloud
- Collaborate with departments using CRM for unified data insights
- Capture and transform data using Tableau and BigQuery
- Analyze big data in cloud and Hadoop environments
- Create effective dashboards, charts, and reports
- Present data insights using polished presentations
- Apply statistical methods for accurate data interpretation
- Manage data life cycles for optimal organization and accessibility
Target Career Roles
- Web Designer
- IT Professional
- Internet Consultant
- Business Professional
- Marketing Professional
02 / 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.
03 / Exam details
CIW: Data Analyst (1D0-622) Details
Prepare for the CIW 1D0-622 exam with the latest CIW Data Analyst course. The data analyst training provides complete coverage of the 1D0-622 exam objectives and provides the skills in fundamentals of data analysis and big data, tools for capturing and analyzing data. It also teaches students how to analyze and report data and work with data sources. The 1D0-622 exam guide has the best learning resources and study materials to help you prepare for the exam.
Questions
48
(per exam)
Duration
75 minutes
(per exam)
Passing Score
75%
(scaled score)
Exam Fee
USD 150
(per exam)
Delivered by
PSI
(in-person or online)
Question Format
The exam consists of linear, multiple choice, fill in the...
single/multiple choice, performance-based
Practice Tests
332 Practice Questions
(mapped to official exam objectives)
Certification
1D0-622-v1.2
CIW credential
Ready to take the exam?
Add your official 1D0-622-v1.2 exam voucher to your order.
Official Voucher · Fast delivery · Retake bundle available
Exam voucher is sold separately and not included with standard course.
04 / FAQs
Questions before you start
What is the CIW Data Analyst certification, and who is it for?+
The CIW Data Analyst certification is designed for professionals looking to gain hands-on skills in data analysis, data interpretation, and data-driven decision-making. It’s ideal for beginners.
Is prior experience required to take this course?+
While a background in IT or data is helpful, our CIW Data Analyst Study Guide is structured to cover data fundamentals, making it suitable for beginners with a basic understanding of computers and the internet.
How does the CIW Data Analyst certification compare to other data certifications?+
CIW Data Analyst focuses on data analysis foundations, data management, and essential tools, making it accessible to beginners. Certifications like Microsoft DP-900 or CompTIA Data+ may offer similar entry-level knowledge but with different specializations.
What kind of jobs can I get with a Data Analyst certification?+
Jobs like junior data analyst, business analyst, data technician, and CRM analyst are common entry-level roles for CIW data analyst certification holders.
How much does the CIW data analyst exam cost?+
The cost varies by location and CIW pricing at the time of registration. It is generally between $150 and $200, though discounts or bundles with other courses may be available.
How can I start my data analyst career?+
To start a data analyst career, begin by enrolling in our certification course to learn data manipulation, analysis, and visualization. Gain hands-on experience in tools like Excel, SQL, and Tableau and practice with real-world job scenarios.
What are the prerequisites for this exam?+
Here are the pre-requisites:
- 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
- An understanding of spreadsheets, databases, business processes, web sites, and coding
What is the exam registration fee?+
USD 150
Where do I take the exam?+
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?+
Analyze, Interpret, and Present Data
Join our Online CIW Data Analyst Training to learn how you can master the skills that drive business decisions.
- 1 year of full access
- 17 LiveLab included
- Certificate of completion
No credit card required