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 Audience Individuals 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 Responsibilities Data 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. Prerequisites The 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 OUTLINE Fundamentals of Data Analysis The Importance of Good Data Data Filtering Data Structure Types Centralized Data Benefits Structured vs. Unstructured Data Case Study: Forgetting Steve Jobs Types of Data * Administrative Data * Open Data * Public Data * Research Data Typical Sources of Business Data * Marketing data on customers * Sales data * Customer data * Accounting Data * Traditional e-commerce sites * Social Media * Mobile Platforms Data Protection Policies * Challenges associated with the GDPR * Data Protection and Privacy Laws Search Engine Optimization * Strategies to Increase Popularity and Relevance Data Life Cycle Management (DLM) Data Analysis Process Case Study: Business Decisions in the Non-profit Industry 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 Case Study: The Internet is Worthless Impact of Data Errors Importance of Organizational Strategy and Data Quality in Data Analytics Data Modeling Importance of Data Maintenance and Data Backup 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 * Need for CRM in a Retail Bank * Components of the CRM System Obtaining Data from E-Mail and User Forums Obtaining Data from Other Knowledge Bases * Social Media and CRM * Supply Chain Management * Inventory Management System * Facilities Management System Obtaining Data from CRM and Business-To-Business Frameworks * Introduction to B2B Frameworks * Sources of CRM and B2B Data Transaction, Payment and Inventory Data Using Multiple Data Sources Case Study: InStyle Publishing Tools for Capturing and Analyzing Data Data Analytics Tools Capturing Data: Tableau Public * Graphs and Charts in Tableau Public * Other Types of Graphs * Types of Calculations Capturing Data: Google BigQuery Capturing Data: OpenRefine * Get Started with OpenRefine Overview: Hadoop-Based Environments * What is Hadoop? * Postgres Capturing and Analyzing Data in Hadoop The R Project * R as a Programming Language * Explore Datasets and Create Graphical Displays Additional Software for Data Capture * Gartner’s Magic Quadrant Case Study: Playing with Big Data Analyzing and Reporting Data Network Traffic * Web logs * Marketing Data Integration * Why Data Integration is Important? Why Testing is Important? * ETL Testing Statistical Computing and Programming Organizational Efforts and Business Outcomes Best Methods to Capture and Report Specific Data Data Analysis and Reporting Dashboards Executive Summaries Create Reports and Charts Create a Presentation for Reporting Data Frequently Asked Questions for Presentations Case Study: Better Business Through Data NOTE: The exam alone for this course can be found HERE : The Course without the exam can be found HERE. You Can ADD Live Tutor Support to Our Official CIW Courses HERE Course Detail Online Access : 1 Year Compatibility : Windows, Mac Exam Included : Yes Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.