Introduction to Business Data Analytics (CBDA)

Hours: 40 / Access Length: 12 Months / Delivery: Online, Self-Paced
Retail Price: $499.00

Course Overview:

Introduction to Business Data Analytics (CBDA) is a comprehensive preparatory course that is specially designed to help you pass the IIBA - CBDA certification exam. This course focuses on the technical skills required to effectively perform business data analytics, its objectives, and its applications in various industries. Gain hands-on experience with data collection, cleaning, analysis, interpretation, and visualization techniques. After the completion of this ‘Introduction to Business Analytics’ course, you’ll have a clear understanding of the importance of data-driven decision making at the strategic level and develop a data strategy for your organization.

This course prepares a student to take the IIBA - Certification in Business Data Analytics ​national certification exam.

Students will:

• Techniques for data cleaning and preparation (handling missing values, outliers, and more)
• Summarize and understand data characteristics for Exploratory Data Analysis (EDA)
• Conversion of raw data into a suitable format for analysis
• Using statistical methods to analyze data, including descriptive statistics, hypothesis testing, and correlation analysis
• Using visualization techniques to create various types of charts and graphs to communicate data insights
• Using different visualization methods to create stories that convey complex information in a clear and understandable manner
• Create conceptual, logical, and physical data models to represent the structure and relationships of data elements
• Ability to apply analytical techniques such as decision trees and regression analysis
• Find optimal solutions to complex problems, such as resource allocation or scheduling with mathematical techniques
• Implement policies and procedures to ensure data quality, security, and compliance with regulations
• Awareness of data warehousing and data marts to perform centralized data storage and analysis
• Execute ETL (Extract, Transfer, Load) process for extracting data from various sources, transforming it into a suitable format, and loading it
• Apply data mining techniques and algorithms to find patterns and trends in large datasets
• Using Machine Learning (ML) Algorithms to build predictive learning models

Course Outline:

Lesson 1: Introduction to Business Data Analytics

• What is Business Data Analytics?
• The Business Data Analytics Cycle
• Business Data Analytics Objectives
• Business Analysis and Business Data Analytics
• Applications of Data Analytics

Lesson 2: Identify the Research Questions

• Define Business Problem or Opportunity
• Identify and Understand the Stakeholders
• Assess Current State
• Define Future State
• Formulate Research Questions
• Plan Business Data Analytics Approach
• Techniques

Lesson 3: Source Data

• Plan Data Collection
• Determine the Data Sets
• Collect Data
• Validate Data
• Techniques
• A Case Study for Source Data

Lesson 4: Analyze Data

• Develop Data Analysis Plan
• Prepare Data
• Explore Data
• Perform Data Analysis
• Assess the Analytics and System Approach Taken
• Techniques
• A Case Study for Analyze Data

Lesson 5: Interpret and Report Results

• Validate Understanding of Stakeholders
• Plan Stakeholder Communication
• Determine Communication Needs of Stakeholders
• Derive Insights from Data
• Document and Communicate Findings from Completed Analysis
• Techniques
• A Case Study for Interpret and Report Results

Lesson 6: Use Results to Influence Business Decision-Making

• Recommend Actions
• Develop Implementation Plan
• Manage Change
• Techniques
• A Case Study for Use Results to Influence Business Decision-Making

Lesson 7: Guide Organizational-Level Strategy for Business Data Analytics

• Organizational Strategy
• Talent Strategy
• Data Strategy
• Techniques
• Competencies
• A Case Study for Guide Organization-Level Strategy for Business Data Analytics

Lesson 8: Appendix A: Techniques

• Business Simulation
• Business Visualizations
• Concept Modelling
• Data Dictionary
• Data Flow Diagrams
• Data Mapping
• Data Storytelling
• Decision Modelling and Analysis
• Descriptive and Inferential Statistics
• Extract, Transform, and Load (ETL)
• Exploratory Data Analysis
• Hypothesis Formulation and Testing
• Interface Analysis
• Optimization
• Problem Shaping and Reframing
• Stakeholder List, Map, or Personas
• Survey and Questionnaire
• Technical Visualizations
• The Big Idea
• 3-Minute Story

All necessary course materials are included.

Certification(s):

This course prepares a student to take the IIBA - Certification in Business Data Analytics national certification exam.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.