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

Assessment

• 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. More information on exams can be found on the CMIT exam page.

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.

Accreditation

• Once you successfully pass the programme, you will be able to download a Certificate of Completion.
• 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. More information on exams can be found on the CMIT exam page.
• More information can be found on the CMIT Accreditation Details page.