Data analytics dashboard on a laptop
Microsoft & Data

CIW Data Analyst Specialist Online Training with Live Labs and Exam (1D0-622)

DurationSelf-paced online learning
LevelIntermediate
AccessLearn online at your own pace
Course content14 modules
One-time payment Get complete course access

£599.00 inc VAT

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About this course

What the CIW Data Analyst Specialist course covers

This is an online microsoft & data course you work through in your own time, on a phone, tablet or laptop. It is built as 14 modules, so there is an obvious place to stop each time. Nothing expires part way through, so an interrupted evening costs you nothing.

The course works through Fundamentals of Data Analysis, The Importance of Good Data Filtering, Data Structure Types and Centralized Data Benefits. There are 10 further modules beyond those, listed in full on the Modules tab.

It builds on the basics rather than covering them again, so it is the second course on a subject and not the first. We list 18 Microsoft & Data courses, of which 2 sit at Intermediate. Take it as professional training, not a graded award - what it shows is that you have done the learning.

What this course is not: The provider has not stated what the certificate looks like for this one, so ask us first if the certificate is the reason you are buying. It is not an awareness course: if the subject is completely new to you, something introductory will be better value.

Buyer guide

Is this the right course for you?

Best fit

CIW Data Analyst Specialist is a sensible shortlist choice when you want a structured route through the published syllabus rather than a general overview of the whole subject. Its 14-module plan starts with Fundamentals of Data Analysis and The Importance of Good Data Filtering, which gives you a clear indication of the assumed starting point. That shape is likely to be most useful for analysts, administrators and office staff who live in spreadsheets whose training need matches those topics. It is a weaker fit if you only need one isolated skill, or if an employer has specified a different standard, awarding body or practical assessment. Before buying, compare that requirement with the final modules on Marketing data on customers and Sales data as well as the course title.

How to use the syllabus

Treat the module list as a study plan, not just a contents page. Begin with Fundamentals of Data Analysis and The Importance of Good Data Filtering and note any terms or processes you need to revisit. Around the middle, Types of Data acts as a useful checkpoint: if you can explain that material without looking back, move on; if not, repeat the preceding section before adding more. The later work on Marketing data on customers and Sales data is where you can test whether the earlier ideas connect. After each block, write a short example from your own work or a realistic scenario. That simple retrieval step makes self-paced learning more useful than clicking straight through to completion.

Check before enrolling

The provider gives no fixed study-hour estimate, so use the module count to plan several shorter sessions rather than assuming it can be completed in one sitting. No fixed access period is stated in the validated course facts; ask us before enrolling if a deadline matters to your plans. The provider has not supplied reliable certificate details for this course, so confirm them with us if certification is your main reason for enrolling. No CPD accreditation is stated. That is fine for skills development, but not when a workplace policy specifically requires accredited training.

Full course details from the training provider

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.

CIW Data Analyst Specialist course details

Online Access : 1 Year
Compatibility : Windows, Mac
Exam Included : Yes

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