CIW Data Analyst Specialist Online Training with Live Labs and Exam (1D0-622)

Course Description Data Analyst is the seventh course in the CIW Web And Mobile Design series. This course teaches how to use data to analyze all aspects of a company’s operation and make appropriate business decisions. It focuses on Web-oriented data, and methods for analyzing data in order to create appropriate dashboards, reports and solutions.This course teaches students how to identify typical sources of institutional knowledge, including Customer Relationship Management (CRM) applications, inventory management systems, transaction data, social media, marketing sources, industry systems.

Students will compare and contrast structured and unstructured data in order to summarize how data can drive business decisions. The course also covers specific tactics for working with cloud-based data, including cloud-native data, migrating data to or from the cloud, backup procedures, security issues, and user training.Students will learn ways to determine relationships between organizational efforts and business outcomes, extrapolate information using data obtained from new and traditional data sources, and ways to analyze and represent data. Students will also learn how ethics and security are vital parts of a Data Analyst’s responsibilities.

The Data Analyst can compile the data from many sources, prepare and deliver an objective and unbiased presentation. Advantages of this course Study online at your own pace with the comprehensive, easy to navigate courseware. Materials are available 24/7, 365 days a year, meaning students can enjoy convenient and flexible learning that can be completed around existing home and work commitments.

If you do run into technical issues, our support team is available to help. Prove your new-found knowledge by sitting the accompanying CIW examination. Show off your new skills by adding them to your CV or LinkedIn profile, and impress future employers.

Target AudienceIndividuals preparing to enter or continue in the workforce fields of Web site development and design can benefit from the CIW Data Analyst course and/or certification: High school students College students Technical/trade school students Professionals working in marketing, merchandising, and data-driven fields for any industry can benefit from the CIW Data Analyst course and/or certification: Data Analysis professionals Product Development professionals Merchandising professionals Web marketing professionals Advertising professionals Entrepreneurs Job ResponsibilitiesData Analyst job responsibilities can include: Use data to analyze all aspects of a company’s operation and create appropriate dashboards, reports and solutions. Work with typical databases, including Customer Relationship Management (CRM) applications, inventory management systems, transaction data, social media, marketing sources and industry systems. Work with cloud-based data, including cloud-native data, migrating data to or from the cloud, backup procedures, security issues, and user training.

Determine relationships between organizational efforts and business outcomes, extrapolate information using data obtained from new and traditional data sources. Use ethics and security to present data to avoid personal or organizational bias. PrerequisitesThe CIW Data Analyst courseware requires an understanding of computers, internet technologies, and database principles.

We suggest CIW Internet Business Associate and CIW Site Development Associate or equivalent knowledge. COURSE OUTLINEFundamentals of Data AnalysisThe Importance of Good Data Data FilteringData Structure TypesCentralized Data BenefitsStructured vs. Unstructured DataCase Study: Forgetting Steve JobsTypes of Data* Administrative Data* Open Data* Public Data* Research DataTypical Sources of Business Data* Marketing data on customers* Sales data* Customer data* Accounting Data* Traditional e-commerce sites* Social Media* Mobile PlatformsData Protection Policies* Challenges associated with the GDPR* Data Protection and Privacy LawsSearch Engine Optimization* Strategies to Increase Popularity and RelevanceData Life Cycle Management (DLM)Data Analysis ProcessCase Study: Business Decisions in the Non-profit IndustryIntroduction to Big DataBig DataThe Importance of IT Data ManagementIT Business EnvironmentsCloud-Based DataCloud-Native DataIn-House DataWhen to Migrate In-House Data to the CloudVariations of Cloud-Based SystemsTypical Databases Used for Data AnalysisData-driven Business DecisionsCase Study: The Internet is WorthlessImpact of Data ErrorsImportance of Organizational Strategy and Data Quality in Data AnalyticsData ModelingImportance of Data Maintenance and Data BackupWorking with Data SourcesData E-Harmony: Working with Different Departments to Bring Data TogetherThe Purpose of Customer Relationship Management (CRM)CRM Integration: A Banking Scenario* Need for CRM in a Retail Bank* Components of the CRM SystemObtaining Data from E-Mail and User ForumsObtaining Data from Other Knowledge