CIW Data Analyst
In this 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.
| Award Name | Specialist Certificate |
|---|---|
| NFQ Classification | |
| Awarding Body | Certified Internet Webmaster |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Specialist Certificate | Certified Internet Webmaster |
Duration
160 hours
Delivery Method: Online
Entry Requirements
Prerequisites
The CIW Data Analyst courseware requires an understanding of spreadsheets, databases, business processes, web sites and coding. Suggested prerequisites are one of the following: CIW Web Design Specialist, or CIW Advanced HTML 5.0 and CSS.
System Requirement
This is an online course delivered over the internet. The following technical requirements apply: 128MB of RAM; Windows 2000, 2003, XP, Vista, Minimum screen resolution 800x600, Internet Explorer 5.5 or higher; Windows Media Player 9.0 or higher; Flash 8.0 or higher; 56K minimum connection; broadband (256 kpbs or higher) connection recommended; JavaScript, DHTML and cookies enabled; Sound card with speakers or headphones strongly recommended.
Careers / Further progression
Interested In A Career In IT?
The CIW Data Analyst Specialist course is for individuals who want to know 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.
Job Responsibilities
Data Analyst job responsibilities can include:
• Use data to analyse 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 organisational bias.
Further information
Students can enrol and start the course any time of the year.
€475
To take the exam you must attend an approved test centre. To source a test centre near you can visit http://www.pearsonvue.com/CIW. The approximate fee for the test, which is paid directly to the drop in testing centre is €130.
Overview
In this 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.
Who Should Do This Data Analyst Course?
This course is specifically designed to suit a wide target audience of:
• Web designers
• Internet consultants
• IT professionals
• Digital marketing/advertising professionals
• Web and graphic artists
• Business professionals
• Merchandising professionals
• Product development professionals
What Does The Course Cover?
The key learning points of this course are to:
• 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.
• Summarise ways that data is used to drive business decisions.
• Deploy tools for capturing and analysing 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 organisational 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.
• Course covers all elements needed to pass the included exam.
Unit 1: Fundamentals of Data Analysis
Unit 2: Introduction to Big Data
Unit 3: Working with Data Sources
Unit 4: Tools for Capturing and Analysing Data
Unit 5: Analysing and Reporting Data
Learning Resources:
• The Official CIW Curriculum coursebook includes narrative instruction, technical term definitions, exam objective callouts, hands-on labs, study and assessment resources, application projects and real-world case studies.
• eLearning resources - movie clips that provide supplementary instruction in a multimedia format, interactive instructional activities, Course Mastery questions to assess your knowledge of the concepts.
• Virtual Labs - designed to reinforce students learning and demonstrate their new skills
• Exam Study Guide - provide focused study for students preparing to take high-stakes CIW certification exams
• Online Pre-Assessment Test and Practice Exams to assess the students' knowledge of specific exam objectives.
How It Works
Interested In A Career In IT?
The CIW Data Analyst Specialist course is for individuals who want to know 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.
Job Responsibilities
Data Analyst job responsibilities can include:
• Use data to analyse 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 organisational bias.
Ph: 01 639 4660
Fax: 01 662 0539
Email: info@kilroyscollege.ie