Data Analyst Specialist

The CIW Data Analyst (DA) certification is a versatile certification aimed to develop ability to utilize and extrapolate data obtained from a variety of sources in order to make appropriate business decisions. These sources cover Customer Service Management applications, transaction data, social media, marketing sources, etc.

Basic

DA Basic: Introduction to Data Analyst

The course focuses on various data sources, and methods for analyzing data in order to create appropriate dashboards, reports and solutions. Students will 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 data to drive business decisions, and prepare and deliver an objective and unbiased presentation. 

Prerequisites

  • Knowledge of writing basic formulas and fucntion in Excel or completed Excel Intermediate course.

Technical Requirements

  • Access to Internet.

Topics

  • Fundamentals of Data Analysis
  • The Importance of Good Data
  • Centralized Data Benefits
  • Structured vs. Unstructured Data
  • Typical Sources of Business Data
  • Search Engine Optimization
  • Metadata and search engine optimization
  • Fundamentals of User Analysis
  • Data Analysis Structured vs Unstructured Data
  • Concepts of Data Analysis
  • Understanding of spreadsheets
  • Working with databases
  • Defining business processes
  • Introduction to programming language

Learning Objectives

By the end of the course, you should be able to:

  • Fundamentals of Data Analysis
  • Working with different Data Sources
  • Be able to utilize tools for Capturing Data
  • Working with spreadsheet

Target Audience

  • Web Designers
  • Internet Consultants
  • IT Professionals
  • Marketing Professionals
  • Web and Graphic Artists
  • Business Professionals

Intermediate

DA Intermediate: Introduction to BigData

The course focuses on various data sources, and methods for analyzing data in order to create appropriate dashboards, reports and solutions. Students will compare and contrast structured and unstructured data in order to summarize data to drive business decisions, and prepare and deliver an objective and unbiased presentation.

Prerequisites

Technical Requirements

  • Access to Internet.

Topics

  • Introduction to Big Data
  • The practical application of big data in business today
  • The Importance of IT Data Management
  • Adapting to changing data requirements
  • 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
  • Compare relational database management systems
  • Data-driven Business Decisions
  • Understanding How Big Big Data Is
  • Cloud Computing in Our Every Day Lives
  • Things to Consider When Moving to the Cloud
  • Big data vocabulary
  • 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
  • Consumer lifetime value in banking
  • CRM segmentation
  • Obtaining Data from E-Mail 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
  • Working with Data Sources
  • Types of Data Used in Data Analysis
  • Social Media and CRM
  • Using RFM analysis for customer segmentation

Learning Objectives

By the end of the course, you should be able to:

  • Fundamentals of Data Analysis
  • Understand Big Data
  • Working with different Data Sources
  • Be able to utilize tools for Capturing and Analyzing Data

Target Audience

  • Web Designers
  • Internet Consultants
  • IT Professionals
  • Marketing Professionals
  • Web and Graphic Artists
  • Business Professionals

Advance

DA Advance: Tools for Capturing and Analyzing Data

The students will also get introduced to using specific tactics for working with cloud-based data, including cloud-native data, migrating data to or from the cloud, backup procedures, and security issues. This course instructs on how to obtain and use data to analyze all aspects of a company’s operation. It teaches how to deploy tools, including Hadoop, R Project, and customer database solutions, for capturing and analyzing data. Using these tools, you will study methods for analyzing data and create appropriate dashboards, executive summaries, reports and charts.

Prerequisites

Technical Requirements

  • Access to Internet.

Topics

  • Capturing Data: Tableau Public
  • Capturing Data: Google Fusion Table
  • Capturing Data: OpenRefine
  • Overview: Hadoop-Based Environments
  • Capturing and Analyzing Data in Hadoop
  • The R Project
  • Introduction to the R programming language and RStudio
  • Additional Software for Data Capture
  • Working with KNIME
  • Common Data Analysis Terms
  • Tools for Capturing and Analyzing Data
  • Hadoop Basics
  • Playing With Big Data
  • Application Project
  • Tools and features for data analysis
  • OpenRefine
  • Analyzing and Reporting Data
  • Network Traffic
  • Applying Google Analytic attributes
  • Organizational Efforts and Business Outcomes
  • Data Analysis and Reporting Dashboards
  • Exploring dashboards
  • Create Reports and Charts
  • Creating a Gantt chart
  • Create a Presentation for Reporting Data
  • The Prezi alternative
  • Frequently Asked Questions for Presentations
  • Fundamentals Analyzing and Reporting Data
  • Primary and Secondary Data Sources
  • Data Analysis Dashboard
  • Better Business Through Data
  • Analyze trends using a chart

Learning Objectives

By the end of the course, you should be able to:

  • Be able to utilize tools for Capturing and Analyzing Data
  • Analyze data and generate Report

Target Audience

  • Web Designers
  • Internet Consultants
  • IT Professionals
  • Marketing Professionals
  • Web and Graphic Artists
  • Business Professionals

Data Analyst Certification

CIW Data Analyst Specialist Certification Prep Course

The CIW Data Analyst Specialist course prepares candidates to take the CIW Data Analyst Specialist exam, which, if passed, earns the individual the CIW Data Analyst Specialist certificationThis course is good for student interested in preparing to take the high-stakes CIW Data Analyst certification exam (1D0-622) to be recognized as a Data Analyst Specialist. This versatile certification aims to develop your ability to utilize and extrapolate data obtained from a variety of sources in order to make appropriate business decisions. These sources cover Customer Service Management applications, transaction data, social media, marketing sources, etc. 

Prerequisites

Learning Objectives

By the end of the course, you should be ready to take the high-stakes CIW Data Analyst certification exam (1D0-622) to be recognized as a Data Analyst Specialist.

Skills Taught

  • Identify typical sources of institutional knowledge, including Customer Relationship Management (CRM) applications, transaction data, social media, marketing sources.
  • Compare and contrast structured and unstructured data.
  • Deploy specific tactics for working with cloud-based data, including cloud-native data, migrating data to or from the cloud.
  • Summarize ways that data is used to drive business decisions.
  • Deploy tools for capturing and analyzing data, including Hadoop, R Project, custom database applications.
  • Extrapolate information using data obtained from new and traditional data sources, including Web and social media logs, marketing, sales, technical support, customer relations.
  • Determine relationships between organizational efforts and business outcomes.
  • Identify ways to capture and represent data, including creating dashboards (e.g., executive summaries), creating reports and charts, using traditional and Web-based tools.

Technical Requirements

Access to Internet.

Topics

  • Identify typical sources of institutional knowledge, including Customer Relationship Management (CRM) applications, transaction data, social media, marketing sources.
  • Compare and contrast structured and unstructured data.
  • Deploy specific tactics for working with cloud-based data, including cloud-native data, migrating data to or from the cloud.
  • Summarize ways that data is used to drive business decisions.
  • Deploy tools for capturing and analyzing data, including Hadoop, R Project, and custom database applications.
  • Extrapolate information using data obtained from new and traditional data sources, including Web and social media logs, marketing, sales, technical support, customer relations.
  • Determine relationships between organizational efforts and business outcomes.
  • Identify ways to capture and represent data, including creating dashboards (e.g., executive summaries), creating reports and charts, using traditional and Web-based tools.
  • Online CIW Certification Practice Exam
  • CIW Certification Exam Voucher

Target Audience

  • Web Designers
  • Internet Consultants
  • IT Professionals
  • Marketing Professionals
  • Web and Graphic Artists
  • Business Professionals

Exam Information

  • Certification Name: Data Analyst
  • Exam ID: 1D0-622
  • Number of Questions: 48
  • Passing Score: 75%
  • Time Limit: 75 minutes
  • Course Name: Data Analyst

Training

Training Format Mode Duration Price Schedule/Purchase
DA Basic: Introduction to Data Analyst Live Online 10 Week $699 View Schedule
DA Intermediate: Introduction to Big Data Live Online 10 Week $699 View Schedule
DA Advance: Tools for capturing and Analyzing Data Live Online 10 Week $699 View Schedule
CIW Data Analyst Specialist Certification Test Prep – Video Based Training, Practice Test & Exam Voucher Live Online 10 Week $699 View Schedule
CIW Data Analyst Specialist Certification Test Prep – Video Based Training, Practice Test & Exam Voucher Self Study 1 yr subscription $399 Buy Now

For more information, call (714) 505-3475.