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

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