Employer-sponsored course

Introduction to Business Data Analytics (CBDA)

Online, Self-Paced Online Hours: 4040 hoursAccess 12 Months

View original catalog entry

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.

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Full overview

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

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

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.

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.

Included programs

  • 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

Materials

All necessary course materials are included.

System requirements

Minimum technical expectations for the online learning environment. Your IT team can use this as a checklist.

Internet connectivity

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. 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. 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.

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

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. 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. 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

Operating System Requirements: Windows 7 or higher. Mac OSX 10 or higher. Latest Chrome OS Latest Linux Distributions Windows 7 or higher. Mac OSX 10 or higher. Latest Chrome OS Latest Linux Distributions Windows 7 or higher. Mac OSX 10 or higher. Latest Chrome OS Latest Linux Distributions

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

Web Browser Requirements: Latest Google Chrome is recommended for the best experience. Latest Mozilla FireFox Latest Microsoft Edge Latest Apple Safari Latest Google Chrome is recommended for the best experience. Latest Mozilla FireFox Latest Microsoft Edge Latest Apple Safari Latest Google Chrome is recommended for the best experience. Latest Mozilla FireFox Latest Microsoft Edge Latest Apple Safari

Recommended software

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. 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. 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. ** The course outlines displayed on this website are subject to change at any time without prior notice. ** ** The course outlines displayed on this website are subject to change at any time without prior notice. **

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Corporate training programs are offered exclusively for employer-sponsored workforce development and are not available for individual enrollment.
(800) 371-2963