College of Management and IT (CMIT)

CIW Data Analyst (Big Data / Analytics)

Leads to Industry certification.

Self-paced course
Online self-paced course.

Start any time and work at your own pace.

Learn anywhere
Learn anytime, anywhere.

Course Details

CIW is the world’s fastest-growing digital skills training and certification program for students and professionals.  In this Data Analytics Course, you will learn how to use data to analyse all aspects of a company’s operation and make appropriate business decisions. You will study how to compare and contrast structured and unstructured data. You will learn how to deploy tools for capturing and analysing data, including Hadoop, R Project, and custom database solutions.  In addition, you will study how to extrapolate information using data obtained from new and traditional data sources, including Web and social media logs, marketing, sales, technical support, and customer relations. You will also learn how to determine relationships between organizational efforts and business outcomes. Finally, you will study the ways to capture and represent data, including creating dashboards, executive summaries, reports and charts, using both traditional and Web-based tools.

The CIW Data Analyst course prepares candidates to take the CIW Data Analyst Specialist exam, which, if passed, earns the Data Analyst Specialist certification.

Students are provided with the following resources:

  • Comprehensive online course materials covering the entire syllabus.
  • eLearning resources – access to video, course review questions, exercises and flashcards.
  • Exam Study Guide – condensed study material on the specific skills objectives you need to master for the exams.
  • Exam Pre-Assessment and Practice Exams.
Who should complete this Data Analytics Course?
  • Digital Marketers, Marketing professionals, Statisticians, Business professionals.
  • Web Developers, Web designers, Internet consultants.
  • Big Data / Analytics is a rapidly growing area with strong employment potential in Ireland.  Data Analyst roles include: (1) data mining, (2) digital marketing and web analytics, (3) creating dashboards, reports and solutions, (4) working with databases, e.g.  CRM applications, Stock management systems, Web traffic databases, Google Ads data, Google Analytics, Facebook data sources, and (5) working with cloud-based data.
Entry Requirements / Prerequisites
  • The CIW Data Analyst course requires an understanding of spreadsheets, databases and business processes. As basic knowledge of coding would be advantageous (e.g. SQL, HTML, etc).
  • For technical requirements required to access CMIT eLearning click here>
  • For more details on the suitability of this course click here>


How CMIT eLearning Works…

Topics covered in this Data Analytics Course

Fundamentals of Data Analysis
  • 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
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
  • 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
  • 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 InStyle Publishing
Tools for Capturing and Analysing Data
  • Data Analytics Tools
  • Capturing Data: Tableau Public
  • Capturing Data: Google Fusion Tables
  • Capturing Data: OpenRefine
  • Overview: Hadoop-based Environments
  • Capturing and Analysing Data in Hadoop
  • The R Project
  • Additional Software for Data Capture
Analysing and Reporting Data
  • 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
  • Once you successfully pass the programme, you will receive a Certificate in Data Analytics from CMIT.
  • You may optionally take an exam to receive CIW Certification. CIW exams are completed at home or work at a time that suits you, using a proctored (supervised) exam. Your webcam is used to supervise you during the exam. For details and how to book an exam click here
Technical Requirements
  • This is an online course delivered over the internet. The following technical requirements apply: 8 GB RAM, Windows 10, an up-to-date version of Chrome, Safari or Firefox, Windows Media Player and Flash; broadband (10Mbps or higher) connection recommended; JavaScript, DHTML and cookies enabled; Soundcard with speakers or headphones.
  • Following successful completion of the CIW exam, you will receive a certificate from CIW to confirm “CIW Data Analytics Specialist” certification.
  • Click here for Accreditation Details

Request Prospectus

Complete the form below to request a prospectus.

Opt in
This field is for validation purposes and should be left unchanged.

Student Reviews
of this course

{{ reviewsOverall }} / 5 Users (1 vote)
What students say... Leave your rating
Order by:

Be the first to leave a review.

{{{review.rating_comment | nl2br}}}

Show more
{{ pageNumber+1 }}
Leave your rating

Request A Prospectus

Opt in
This field is for validation purposes and should be left unchanged.